Additive Manufacturing

Development of a Camera for Abrasive Blasting

Development of a Camera for Abrasive Blasting

Stefan-Alexander Arlt, Norbert Babel, Raimund Kreis ORCID Icon, Thomas Andreas Schiffmann, Robin Schinko
Abrasive blasting is often used to clean work pieces. During the process an abrasive medium is propelled with compressed air toward a given surface. Common abrasives are sand, glass beads, steel or corundum. For safety reasons the blasting process is carried out in closed blast cabinets or rooms. Abrasives and cut off material are filling the air so that the visibility is limited. Quality assurance and safety monitoring of workers in blast rooms are therefore difficult which is essential e. g. in atomic power plant demolition. This article describes the development and test of a camera to improve this situation. Compressed air flows through the camera housing to keep particles away from the lens. The air flow was optimized by computational fluid dynamics. A prototype was made by 3D printing and tested in an blast cabinet.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 32-36
Digital Product Optimisation for the Use of Additive Manufacturing

Digital Product Optimisation for the Use of Additive Manufacturing

Michael Wahl, Martin Bonenberger, Julian Morbach, Adrian Huwer ORCID Icon, Lauri Hoffmann
Additive manufacturing, i.e. the printing of three- dimensional workpieces from different materials, offers the possibility of quickly producing functional prototypes. Digital optimisation is an important building block for the rapid implementation of functional product ideas. Based on digital models, the product is virtually optimised and continuously improved. Once the product has been digitally optimised in terms of its properties, it is checked and, if necessary, adapted for additive manufacturing. The product is then manufactured, reworked and finally tested. The article shows the optimisation possibilities using the example of a dispenser from the food industry. An existing component is digitised, a flow optimisation is carried out on the digital model and the improved product is additively manufactured.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 25-29 | DOI 10.30844/IM_22-5_25-29
Additive Manufacturing Value Chain

Additive Manufacturing Value Chain

Development of an SME-specific value chain of additively manufactured final metal parts
Tim Niklas Mai, Martin Brylowski, Ayman Nagi, Wolfgang Kersten ORCID Icon
Additive manufacturing processes are becoming increasingly important in industry and enable the cost-e ective production of complex components in small quantities. Small and medium-sized enterprises (SMEs) in particular can bene t from the high customization potential enabling the development of new business models. However, the widespread use of additive processes faces high production costs and technological challenges. Meanwhile, scienti c research focuses on the optimization of individual process steps of additive manufacturing and does not o er su cient support for SMEs. Therefore, this paper deals with the development of a cross-process value chain of additive manufacturing for SMEs. Based on a systematic analysis of scienti c literature, relevant additive manufacturing processes were investigated, and a cross-process value chain was derived. The results were veri ed by expert interviews and central research and development requirements were extracted.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 25-30 | DOI 10.30844/I40M_22-3_25-30
Building Blocks for an Additive Manufacturing-Based Service Network

Building Blocks for an Additive Manufacturing-Based Service Network

Britta Wortmann, David Kiklhorn, Andreas Witte, Daniel Klima
The “IT’S DIGITIVE” research project developed the prerequisites for collaborative and platform-supported processing of additive manufacturing-based services and thus important building blocks for an additive manufacturing-based service network. The focus was on intellectual property protection and the development of secure and trustworthy order fulfillment processes. Based on the identified inherent risks and threats in this distributed order processing, appropriate security countermeasures were developed using two use cases as examples and implemented as demonstrators.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 5 | Pages 57-60
Functional Enrichment in Automobile Interior by 3D Printing

Functional Enrichment in Automobile Interior by 3D Printing

Raimund Kreis ORCID Icon, Norbert Babel, Benedikt Markgraf
Interior such as armrests consist of different materials. The materials and manufacturing processes are limited regarding custom-made cushioning and geometry. Air conditioning and illumination through the layers is difficult. With 3D printing a shell can be combined with a flexible supporting structure providing comfort and conduits for air or wires. This article discusses a printed removable armrest with integrated air conditioning and illumination.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 4 | Pages 41-45
Assessment and Mitigation of Supply Risks

Assessment and Mitigation of Supply Risks

Effects of Additive Manufacturing for Procurement
Matthias M. Meyer, Andreas H. Glas, Michael Eßig
Procurement has the task of providing an organization with required but not self-produced goods. Due to the collapse of global supply chains during the SARS-COV2 pandemic, procurement faced major challenges. Goods that were actually easily available on global markets became critical bottlenecks. It turned out that additive manufacturing can mitigate these bottlenecks. For example, medical spare parts were produced using additive manufacturing. This article examines how additive manufacturing is changing the procurement risk of materials. A comparison is made between traditional and additive supply possibilities based on a survey. The result is a combined procurement strategy, which ensures an improved availability of critical goods.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 2 | Pages 61-65
Machine Data Analysis to Identify Deficits

Machine Data Analysis to Identify Deficits

Verwendung des Gradient-Boosting-Verfahrens zur Datenanalyse am Beispiel der additiven Fertigung
Marc Rusch, Holger Wemmer
The analysis of machine data offers a lot of potential for manufacturing companies. It enables the identification and prognosis of deficits in industrial production processes. Using the example of additive manufacturing, a practice-oriented procedure to implement such an analysis is presented in this article. Using a gradient boosting algorithm, it is shown how a leakage error can be identified as well as predicted. Furthermore, requirements for the necessary database are discussed and practical recommendations for manufacturing companies are derived.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 2 | Pages 21-24
Combining Subtractive Manufacturing with New 3D Printing Technologies

Combining Subtractive Manufacturing with New 3D Printing Technologies

Jörg Luderich, Helga Lindemann
The manufacturing of eyeglasses is a great example of customized mass production. Its globalization results in high data and product traffic, which can only be economical if the process allows a 100 % first time lens-frame fit. TH Köln developed a machine which prints viscoelastic polymer structures on machined glass edges. This method allows a five times lower accuracy in manufacturing and improves results in mechanical tension, optics and lens fit. It has shown to be highly successful with great potential in additional sectors.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 38-42
Production of Topology-Optimized Structural Nodes

Production of Topology-Optimized Structural Nodes

A method involving arc-based, additive manufacturing with MSG welding process
Jan Reimann, Stefan Hammer, Philipp Henckell, Yarop Ali, Jörg Hildebran, Jean Pierre Bergmann
In this paper, the creation of strength and stiffness-adapted structural nodes using the numerical simulation method of topology optimization is presented. The resulting node is transferred into a robot path planning by means of CAD/CAM software and manufactured with wire arc additive manufacturing (WAAM) with the GMAW process using the welding filler material G4Si1.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 4 | Pages 15-19
Additive Manufacturing for Industrial Applications

Additive Manufacturing for Industrial Applications

Development of a Methodology for Integrating Added Value into Products by Additive Manufacturing
Thomas Papke, Dominic Bartels, Michael Schmidt, Marion Merklein, Daniel Gerhard, Jonas Baumann, Indra Pitz
Additive Manufacturing has become more important for industrial applications. The technology offers the opportunity of high geometric flexibility and no need of product specific tools including short time to market. The aim is to integrate added value into products by exploiting these possibilities. Therefore, in this work a methodology focusing on these aspects is developed and applied to a structural component.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 4 | Pages 50-54 | DOI 10.30844/I40M_20-4_S50-54
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