{"id":107565,"date":"2023-02-15T12:00:00","date_gmt":"2023-02-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=107565"},"modified":"2025-02-05T16:49:41","modified_gmt":"2025-02-05T15:49:41","slug":"artificial-muscles-industry-4-0","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/artificial-muscles-industry-4-0\/","title":{"rendered":"Artificial Muscles and Nerves in Industry 4.0"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Intelligent, responsive or smart materials are materials that have actuator properties and can simultaneously be operated as (their own) sensors. These include piezoelectric actuators, thermal and magnetic shape memory alloys and dielectric elastomers, which represent an important subgroup of electroactive polymers (EAP).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In analogy to the human body, SMA wires and dielectric elastomer actuators (DEAs) are also referred to as artificial muscles because of their actuating properties. The special, flexible forms of these actuators enable the implementation of concepts for actuator usage that were previously not possible. At the same time, their unique nerve-like self-sensing capabilities can be used to generate additional information.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Thermal shape memory alloys (SMAs) <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Thermal shape memory alloys (SMAs) can \u201cremember\u201d an imprinted geometric shape and return to their original shape even after severe deformation. This ability is based on a reversible phase transition through the thermal shape memory effect [1]. The phase transition, which is induced by temperature and mechanical stress, is a transition between a high-temperature phase, known as austenite, and a low-temperature phase known as martensite [2, 3]. To implement actuator concepts, SMA wires made of nickel titanium (NiTi, Nitinol) are primarily used. In their cold state, these must be stretched by a biasing force, usually a spring or another SMA wire.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When energized, the wires are heated and the phase transition, instead of resulting in the well-known thermal expansion, actually leads to a contraction, which renders NiTi SMA wires technically well-suited for usage in actuators. Typical commercially available SMA wires have a phase transition temperature of 90 \u00b0C and produce strokes of 4-5% of the wire length [4, 5].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When the wires cool, a temperature hysteresis of 20-40 K becomes noticeable, so that the subsequent expansion takes place at temperatures between 70-50 \u00b0C. SMA wires have the highest energy density of all known actuator mechanisms in the order of 107 J\/m3 [6, 7]. The forces that can actually be generated depend on the wire diameter.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Commercially available wire diameters currently range between 25-500 \u00b5m. For example, the strongest wire with a diameter of 500 \u00b5m can generate a force of approximately 50 N (250 MPa). Thick wires, however, cannot operate at high frequencies. The operating frequency of SMA wires essentially depends on the cooling time of the wires, and thicker wires cool more slowly due to their surface-area-to-volume ratio. For quick one-time applications, e.g. brakes or unlocking mechanisms, the activation of even thicker SMA wires is possible in the ms range [8].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With the thinnest SMA wires (25 \u00b5m diameter), frequencies of 20-30 Hz can be achieved even in cyclic operation [5]. A compromise between high forces and sufficient operating frequency at the same time is often achieved by mechanically connecting several thin SMA wires in parallel. Mechanical fatigue depends on the maximum elongation and stress to which the wire is subjected. With appropriate design, SMA wires can also achieve cycle numbers in the upper millions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"865\" height=\"443\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3.jpg\" alt=\"\" class=\"wp-image-101715\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3.jpg 865w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3-510x261.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3-64x33.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3-732x375.jpg 732w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3-768x393.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-3-514x263.jpg 514w\" sizes=\"auto, (max-width: 865px) 100vw, 865px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 1: Examples of SMA applications in gripping and handling technology: bistable vacuum suction gripper (a), reconfigurable end effector (b) and bio-inspired three-finger gripper (c).<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The sensor properties of the SMA wires derive from changes in electrical resistance depending on the wire strain. In contrast to the mechanical stress-strain curve, the resistance-strain curve is not largely affected by hysteresis and is thus almost linear. This fact enables direct feedback about the strain state of the wire, which is also useful, e.g. for proportional control. In addition, early detection of damage and signs of fatigue can occur by evaluating the resistance signal. The self-sensing effect therefore plays an important role in predictive maintenance and condition monitoring. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Due to the advantages mentioned above, SMA has been a core topic of German research institutions such as Fraunhofer IWU, Ruhr University Bochum, HTWG Konstanz, and Saarland University for years, and some SMA-based products have established themselves on the market. The company Actuator Solutions GmbH (ASG), which specializes in the mass production of SMA actuators, deserves special mention here. ASG\u2019s current product portfolio includes various miniature camera modules as well as various pneumatic and fluid valves. Through fully automated systems, ASG now produces more than 10 million actuators per year with a service life of over 1 million cycles. In recent years, ASG has brought over 100 million actuators into the field [9, 10]. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As part of the efforts of Industry 4.0, energy efficiency and self-sensing capabilities are particularly important for SMA technology [11]. Production plants often have a large number of mostly pneumatically operated linear actuators. The compressed air supply required for this is often one of the largest cost factors. Savings in energy consumption, weight and installation space as well as the inherent sensor properties for generating additional information make SMA technology an attractive alternative to conventional actuators. In addition to simple linear actuators, SMA wires are also used in special gripping and handling technology applications. The German company FFZ-Glash\u00fctte, for example, has been selling SMA-based microgrippers for years. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The first application example from research is a SMA-operated vacuum suction cup (see <strong>Fig. 1a<\/strong>). Vacuum suction cups are very common for handling components with smooth surfaces and use a continuous supply of compressed air to form a vacuum (Venturi principle). The SMA-based suction cup uses a bistable SMA actuator element [12, 13], so that no electricity is required during the suction phase. A short current pulse is only required to grip and release the components.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Thanks to an antagonistic SMA wire configuration, high switching frequencies are also possible for pick-and-place tasks. The vacuum suction cup shown in <strong>Figure 1<\/strong> is designed for a load capacity of 2 kg and the integrated electronics use the self-sensing properties of the SMA wires to monitor the vacuum [14, 15].<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"905\" height=\"310\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2.png\" alt=\"\" class=\"wp-image-101713\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2.png 905w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2-510x175.png 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2-64x22.png 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2-764x262.png 764w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2-768x263.png 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-2-514x176.png 514w\" sizes=\"auto, (max-width: 905px) 100vw, 905px\" \/><figcaption class=\"wp-element-caption\">a Acrylate-based DEs<br>b NiTi-based SMAs<br>c Electroactive ceramics (EAC): PZT B, max. electrical field of 4 V\/\u03bcm<br>d Electromagnets (EM): Values based on an array of 10 mm thick plunging coils, 50% copper, 50% permanent magnet, 1 T magnetic field, 2 ohms-cm resistivity and 40 kW\/m2\u00a0power consumption.<br><br><em>Figure 2: Performance comparison of actuators based on intelligent materials and electromagnetic (EM) actuator principle.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Another future field of application from the area of handling and assembly are reconfigurable end effectors. End effectors for handling plane components are to be designed for special component geometries. The automatic reconfiguration of an end effector enables an assembly line to be adapted to different component shapes without replacing the entire end effector and undergoing the associated production stop.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Due to the high energy density of SMA wires, the introduction of actuators is possible without additional weight, so that no additional inertia arises during the high acceleration of process robots. The end effector prototype shown (<strong>Fig. 1b<\/strong>) has four independent gripper arms, each with two degrees of freedom, enabling 90\u00b0 rotation in the plane and a 30\u00b0 rotation out of the plane [16]. In addition to condition monitoring, the resistance signal of the SMA wires is used to control the position of the gripper arms at any angle within their radii of rotation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The bio-inspired three-finger gripper shown in <strong>Figure&nbsp;1c<\/strong> is another possible use of SMA technology with applications for both industry and bio-medicine. The SMA wires are arranged in an antagonistic configuration and used to move the individual phalanges independently of one another, like muscles in the human body [17]. Here too, the self-sensing property of SMA is used to control the contraction of the wires and the resulting finger movement. In addition, the gripping force can be regulated by evaluating the power consumption of the SMA wires.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Dielectric elastomers <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In the simplest case, dielectric elastomers (DE) consist of a thin (typically 20-100 \u00b5m) elastomer film that is coated on both sides with an extremely thin (&lt; 5 \u00b5m), conductive and stretchable electrode. They therefore form a flexible and expandable capacitor. Depending on the intended usage, silicones, acrylates, polyurethanes, or natural rubber are used as materials for the elastomer. The electrodes usually consist of a mixture of industrial carbon black and the base elastomer in use.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These inexpensive materials, combined with the ability to forego using rare earths, immediately constitute a major advantage in terms of costs and resource usage. Furthermore, the simple structure, combined with industrial mass production processes (such as screen printing), allows the production of cost-effective sensors, actuators, and generators for use in small, lightweight, and energy-efficient systems [18, 19].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">During sensor operation, DEs are deformed or stretched by an external force. This causes a change in capacitance, which serves as a measurement signal. Such sensors can easily reach strain levels of over 100% with a dissolution level of less than 0.1% (sensitivity 0.026%), as has been evidenced by examples from Parker Hannifin Company for industrial applications [20] or by StretchSense for the detection of movement sequences [21]. Such sensors are also suitable for pressure measurement [22]. When using DEs as a generator, they must be charged with a high voltage while in the stretched state.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Through subsequent relaxation of the DEs, the mechanical energy stored during the stretch is converted into electrical energy [23, 24, 25]. Other objects of interest for research in this area include energy generation from human movement, wind, industrial vibrations, and also large-scale ocean wave energy generation. Energy harvesting concepts based on DEs can just as easily be transferred to small-scale systems in order to ensure the supply of energy-autonomous sensor systems. The application of DEs is particularly interesting for light, fast (kHz range) and energy-efficient actuators with very high strain rates, as shown in the comparison with other actuator principles in <strong>Figure 2<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If an electric field (typically 50-100 V\/\u00b5m) is applied to the DE, the electrostatic attraction of the opposite charges on the two electrodes leads to a compression of the thickness of the elastomer as well as surface expansion. The actuator design determines the primary change of geometrical shape that is used to generate movement. A distinction is therefore made between stack and membrane actuators. Stack actuators typically consist of several hundred DE layers (similar to a piezo actuator) and use the change in thickness to generate high forces in the double-digit Newton range with moderate strains of approximately 10% of the initial length [29, 30, 31].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Membrane actuators, on the other hand, use the surface area changes for actuation. This allows strains &gt; 100% to be generated, but means that the force generated lies in the low single-digit Newton range. In both designs, both stroke and force can be scaled via the actuator&#8217;s geometric configuration [32]. In addition, membrane actuators can also be stacked to generate higher levels of force. This mix of actuator concepts can generate forces of over 100 N (see <strong>Fig. 3a<\/strong>) [33].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The combined use of actuator and sensor effect is of particular importance for potential applications within the Industry 4.0 field. The capacity of the DEAs is constantly read during actuation. DEAs thus exhibit a self-sensing effect similar to SMA actuators, enabling the construction of intelligent and controllable actuator systems that do not require any additional sensors. A position accuracy of &lt; 5% for dynamic [34] and &lt; 1% for quasi-static movements can be achieved [35].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Furthermore, an additional measurement of the electrode resistance allows insight into fatigue levels of the DEAs [36]. The topics of fatigue and actuator lifespan are subjects of current research [37]. Initial studies have already shown that DEAs can survive several million operating cycles before sustaining damages [38].<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"901\" height=\"469\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1.jpg\" alt=\"\" class=\"wp-image-101711\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1.jpg 901w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1-510x265.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1-64x33.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1-720x375.jpg 720w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1-768x400.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2023\/02\/I4S_01-2023_Motzki_Bild-1-514x268.jpg 514w\" sizes=\"auto, (max-width: 901px) 100vw, 901px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 3: Examples of DE applications: high-force actuator (a), pneumatic valve (b) and vibration conveyor (c).<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">In the field of adaptive optics, the number of commercially available products is still relatively small and lim\u00adited to the aforementioned sensors and actuator applications produced by the company Optotune [39]. This is due, among other things, to the relatively young age of the technology (initial research in this area started in the 1990s). However, industry-related research has produced some promising areas of application in recent years. DEAs are particularly suitable for use as valve trains, as the example from Festo [40] indicates.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In another publication from Saarland University [41], a conventional solenoid valve with an electromagnet is compared with a valve where the electromagnet is replaced by a DEA (see <strong>Fig. 3b<\/strong>). Both valves are able to switch 3 bar and handle a maximum volume flow of 9 l\/min at the same speed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, in practice (valve kept open for 1.5 seconds, then closed for 0.5 seconds), the DEA valve offers energy savings of over 99%, as the DE only needs to be charged once to open and can then hold its position without additional power usage. This low energy consumption means that the valve does not heat up, which could have important implications for the handling of sensitive materials. Furthermore, in contrast to the solenoid valve, the DE can also be controlled proportionally, which enables flow control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Further studies must be initiated to ascertain whether the self-sensing functionality also allows for new findings regarding applied pressure. Another application is vibratory feeders (see <strong>Fig. 3c<\/strong>) [42]. The advantages of DEA use here lie primarily in their highly dynamic nature, which could enable the movement profile of a conveyor trough to adapt to new materials as they are fed through, without any additional setup time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The self-sensing effect also leaves room for findings regarding material quantity or type of material. The highly dynamic nature of DEAs can also be used in another field of application. Thanks to their high degree of design freedom, DEs allow for the construction of highly compact and use-tailored actuators for haptic feedback, for example in buttons and touchscreens. In addition, due to their mechanical flexibility, DEA can also be incorporated into clothing items, such as gloves.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition to the combined use of actuators and sensors, the intrinsic resilience and elasticity of DEA and SMA actuators is an attractive property with implications for human-robot collaboration. Incorporation of low actuator masses could lead to the creation of highly secure robotics systems that, in contrast to systems that appear stiff and rigid, give a naturally soft impression.<\/p>\n<hr><div class=\"gito-pub-content-bibliography\"><h2>Bibliography <\/h2>[1] Janocha, H.: Adaptronics and Smart Structures. Basics, Materials, Design, and Applications. Berlin Heidelberg 2007.\r<br>[2] Lagoudas, D. C.: Shape Memory Alloys: Modeling and Engineering Applications. New York 2008.\r<br>[3] Motzki, P. et al. (2023) \u2018Thermische Formged\u00e4chtnislegierungen\u2019, in B\u00f6se, H. (ed.) Smart Materials &#8211; Eigenschaften und Einsatzpotenziale. 1st edn. W\u00fcrzburg: Vogel Communications Group, pp. 89-118. Available at: https:\/\/vogel-fachbuch.de\/detail\/index\/sArticle\/1086.\r<br>[4] SAES Getters. SmartFlex Brochure 2017. URL: www.saesgetters.com\/sites\/default\/files\/SmartFlex Brochure_2.pdf, accessed March 1, 2018.\r<br>[5] Dynalloy Inc. Technical Characteristics of Flexinol Actuator Wires 2017. URL: www. dynalloy.com\/pdfs\/TCF1140. pdf, accessed March 1, 2018.\r<br>[6] Janocha, H.: Unkonventionelle Aktoren &#8211; Eine Einf\u00fchrung. M\u00fcnchen 2013.\r<br>[7] Hollerbach, J. M.; Hunter, I. W.; Ballantyne, J. A.: Comparative analysis of actuator tech- nologies for robotics. In: The Robotics Review (1992) 2, pp. 299-342.\r<br>[8] Motzki, P. et al. 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In: Smart Materials and Structures 22 (2013) 10, p. 104018.\r<br>[36] Rosset, S.; de Saint-Aubin, C.; Poulin, A.; Shea, H. R.: Assessing the degradation of compliant electrodes for soft actuators. In: Review of Scientific Instruments 88 (2017) 10, p. 105002.\r<br>[37] Hill, M.; Rizzello, G.; Seelecke, S.: Development of a fatigue testing setup for dielectric elastomer membrane actuators. In: Conference: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring. Portland, OR 2017.\r<br>[38] Matysek, M.; Lotz, P.; Schlaak, H.: Lifetime investigation of dielectric elastomer stack ac- tuators. In: IEEE Transactions on Dielectrics and Electrical Insulation 18 (2011) 1, pp. 89-96.\r<br>[39] Optotune, \u201cProducts\u201d. URL: www.optotune.com\/products, accessed March 1, 2018.\r<br>[40] Giousouf, M.; Kovacs, G.: Dielectric Elastomer Actuators Used for Pneumatic Valve Technology. In: Smart Materials and Structures, 22 (2013), pp. 104010-6. DOI: 10.1088\/0964-1726\/22\/10\/104010.\r<br>[41] Hill, M.; Rizzello, G.; Seelecke, S.: Development and experimental characterization of a pneumatic valve actuated by a dielectric elastomer membrane. In: Smart Materials and Structures 26 (2017) 8, p. 085023.\r<br>[42] Bonci, A.; Longhi, S.; Pirani, M.; Lorenzoni, E.; Rizzello, G.; Naso, D.; Seelecke, S.: Simulation Analysis and Performance Evaluation of a Vibratory Feeder Actuated by Dielectric Elastomers. In: The 14th IEEE\/ ASME International Conference on Mechatronic and Embedded Systems and Applications. Oulu, Finnland 2018.<\/div><div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\"><h2>Your downloads<\/h2><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"107565\" data-userid =\"0\" data-filename=\"I4S_01-2023_Motzki.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div><div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/actuator-technology\/\">actuator technology<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/actuators\/\">actuators<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/de\/\">DE<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/dielectric-elastomers\/\">dielectric elastomers<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/eap\/\">EAP<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/electroactive-polymers\/\">electroactive polymers<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/intelligent-materials\/\">intelligent materials<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/manufacturing\/\">manufacturing<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/robotics\/\">robotics<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/self-sensing-alloys\/\">self-sensing alloys<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/shape-memory-alloys\/\">shape memory alloys<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/sma\/\">SMA<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/smart-materials\/\">smart materials<\/a><\/span> <br>Industries: <span class=\"gito-pub-tag-element\"><a href=\"https:\/\/industry-science.com\/en\/industries\/smart-materials-en\/\">Smart Materials<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"https:\/\/industry-science.com\/en\/industries\/smart-objects\/\">Smart Objects<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Artificial%20Muscles%20and%20Nerves%20in%20Industry%204.0 - https:\/\/industry-science.com\/en\/articles\/artificial-muscles-industry-4-0\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/artificial-muscles-industry-4-0\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip facebook\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" rel=\"noopener nofollow\"><i class=\"icon-facebook\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/x.com\/share?url=https:\/\/industry-science.com\/en\/articles\/artificial-muscles-industry-4-0\/\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip x\" title=\"Share on X\" aria-label=\"Share on X\" rel=\"noopener nofollow\"><i class=\"icon-x\" aria-hidden=\"true\"><\/i><\/a><a href=\"mailto:?subject=Artificial%20Muscles%20and%20Nerves%20in%20Industry%204.0&body=Check%20this%20out%3A%20https%3A%2F%2Findustry-science.com%2Fen%2Farticles%2Fartificial-muscles-industry-4-0%2F\" class=\"icon button circle is-outline tooltip email\" title=\"Email to a Friend\" aria-label=\"Email to a Friend\" rel=\"nofollow\"><i class=\"icon-envelop\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&url=https:\/\/industry-science.com\/en\/articles\/artificial-muscles-industry-4-0\/&title=Artificial%20Muscles%20and%20Nerves%20in%20Industry%204.0\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-knowledge-management\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\" alt=\"Generative AI in Organizational Knowledge Management\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Generative AI in Organizational Knowledge Management\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Generative AI in Organizational Knowledge Management<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">AI literacy as a prerequisite for augmentation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/uta-wilkens-en\/\">Uta Wilkens<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7485-4186\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/valentin-langholf-en\/\">Valentin Langholf<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-0440-4665\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/niklas-obermann-en\/\">Niklas Obermann<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3817-3203\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Generative Artificial Intelligence (GenAI) offers new opportunities for organizational knowledge management, particularly when it comes to learning processes at the interface between explicit, firm-specific, and tacit knowledge. Its use is therefore of particular interest for application areas such as industrial maintenance. Based on a mechanical engineering case study, this article demonstrates that augmenting both processes and employees with GenAI requires AI literacy combined with professional skills.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 118-126 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.14\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.14<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/foundation-models-in-industrial-robotics\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\" alt=\"Foundation Models in Industrial Robotics\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Foundation Models in Industrial Robotics\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Foundation Models in Industrial Robotics<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Requirements for AI-supported assistance in production and logistics<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/bernd-kuhlenkoetter-en\/\">Bernd Kuhlenk\u00f6tter<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-5015-7490\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/daniel-syniawa-en\/\">Daniel Syniawa<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9061-5663\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 16-23 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.5.2\" target=\"_blank\">10.30844\/I4SE.26.5.2<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-driven-organization-as-a-new-work-paradigm\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\" alt=\"AI-Driven Organization as a New Work Paradigm\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Driven Organization as a New Work Paradigm\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI-Driven Organization as a New Work Paradigm<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Implications for individual and organizational change<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-hoelzle\/\">Katharina H\u00f6lzle<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-9733-4650\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/leonie-krauch\/\">Leonie Krauch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/wolfgang-beinhauer\/\">Wolfgang Beinhauer<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-3812-7715\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/carsten-schmidt\/\">Carsten Schmidt<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/josephine-hofmann\/\">Josephine Hofmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4453-7339\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 94-100 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.11\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.11<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/designing-effective-ai-certification\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\" alt=\"Designing Effective AI Certification\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Designing Effective AI Certification\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Designing Effective AI Certification<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Insights from established certification domains for the standardization of human-centered AI<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-9511-6569\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Certification for human-centered AI is becoming increasingly important\u2014as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 86-92 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.4.10\" target=\"_blank\">10.30844\/I4SE.26.4.10<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/supplier-selection-industry-4-0\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\" alt=\"Data-Driven Supplier Selection in Industry 4.0\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Data-Driven Supplier Selection in Industry 4.0\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Data-Driven Supplier Selection in Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Towards an industrial platform for selection and configuration<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/purushothaman-ganesh\/\">Purushothaman Ganesh<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-4245-467X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/baris-e-albayrak\/\">Baris E. Albayrak<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-1193-1279\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/joerg-franke-en\/\">J\u00f6rg Franke<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0700-2028\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/till-sindel\/\">Till Sindel<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3507-631X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jens-fuerst\/\">Jens F\u00fcrst<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-lang\/\">Sebastian Lang<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3397-1551\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.6\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.6<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/smart-data-ecosystems\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\" alt=\"Open Source as Enabler for Smart Data Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Open Source as Enabler for Smart Data Ecosystems\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Open Source as Enabler for Smart Data Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">How collaboration shapes sovereignty and interoperability across industrial applications<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anna-maria-schleimer\/\">Anna Maria Schleimer<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3264-8034\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/julia-pampus\/\">Julia Pampus<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2309-6183\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.1<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Within the concepts of Industry 4.0, the term \u201cSmart Factory\u201d stands for the creation of effective production environments through digitalization and cyber-physical systems. Most manufacturers plan to make their manufacturing systems more automated, flexible and adaptive. In the course of these efforts, intelligent materials are increasingly brought into focus. Combined actuator and sensory properties enable the construction of lightweight and compact multifunctional actuator-sensor systems that are operated in an energy-efficient, noise-free and emission-free manner. This makes them appropriate for building networked systems. Shape memory alloys (SMAs) and dielectric elastomers (DEs) are particularly suitable for building intelligent actuators, and are presented in this article alongside several use cases.<\/p>\n","protected":false},"featured_media":107567,"menu_order":0,"template":"","categories":[79167,79298],"tags":[79039,79040,79037,76556,76559,76558,76511,71743,71302,79038,76554,76555,76553],"product_cat":[],"topic":[68206],"technology":[],"knowhow":[],"industry":[79495,79354],"writer":[82880,82878,82881,82879],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":["post-107565","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-typeset","tag-actuator-technology","tag-actuators","tag-de","tag-dielectric-elastomers","tag-eap","tag-electroactive-polymers","tag-intelligent-materials","tag-manufacturing","tag-robotics","tag-self-sensing-alloys","tag-shape-memory-alloys","tag-sma","tag-smart-materials","topic-industry-4-0","industry-smart-materials-en","industry-smart-objects","writer-marvin-schmidt-en","writer-paul-motzki-en","writer-stefan-seelecke-en","writer-steffen-hau-en","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min.jpeg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-150x150.jpeg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-666x375.jpeg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-768x432.jpeg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-1024x576.jpeg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-1032x320.jpeg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-764x376.jpeg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-392x320.jpeg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-608x496.jpeg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-640x325.jpeg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-274x376.jpeg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-514x292.jpeg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-320x440.jpeg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-514x289.jpeg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-196x180.jpeg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min.jpeg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min.jpeg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-510x510.jpeg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-510x287.jpeg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-100x100.jpeg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/AdobeStock_139270830-min-64x36.jpeg",64,36,true]},"uagb_author_info":{"display_name":"Florian Goldmann","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Within the concepts of Industry 4.0, the term \u201cSmart Factory\u201d stands for the creation of effective production environments through digitalization and cyber-physical systems. Most manufacturers plan to make their manufacturing systems more automated, flexible and adaptive. In the course of these efforts, intelligent materials are increasingly brought into focus. Combined actuator and sensory properties enable&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/107565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/107567"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=107565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=107565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=107565"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=107565"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=107565"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=107565"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=107565"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=107565"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=107565"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=107565"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=107565"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=107565"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=107565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}