Additive Manufacturing

The manufacturing share of laser powder bed fusion (L-PBF) increases in industrial application, but still many process steps are manually operated. Additionally, it is not possible to achieve tight dimensional tolerances or low surface roughness. Hence, a process chain has to be set up to combine additive manufacturing (AM) with further machining technologies. To achieve a continuous workpiece flow as basis for further industrialization of L-PBF, the article presents a novel substrate system and its application on L-PBF machines and post-processing. The substrate system consists of a zero-point clamping system and a matrix-like interface of contact pins to be substantially connected to the workpiece within the L-PBF process.

Additive manufacturing technologies, such as 3D printing, have reached a stage of performance for industrial application such as small series and spare parts. The adoption of additive manufacturing has so far mostly been investigated from the perspective of individual manufacturing firms. This paper focuses on the identification of overarching influence factors. In a category system, influence factors are analyzed from the perspectives of the supply and demand side, the supply chain actors and flows as well as sustainability, thus contributing to the adoption from a supply chain perspective.

Additive Manufacturing (AM), also commonly called 3D-Printing, is very recent technology. Numerous innovations have improved their capabilities in the last few years. These improvements combined with ambitious promises made by 3D-Printing companies have led to some disregard of the physical and economical limitations of these technologies. As impressive as the opportunities especially in light weight construction may be, the technical, physical and economical restrictions have to be considered. This article focuses on the premises and restraints as well as the opportunities of AM-technology.

By integrating specific material properties through the manufacturing process Selective Laser Melting (SLM) into a topology optimization, the product engineer can be supported by simulation in the design process. For this purpose, a topology optimization method is being developed which takes the process-specific material properties of the SLM into account during the optimization process. This method is part of a project funded by the German Research Foundation (DFG). In this article, the influence of these specific material properties on the design is presented.

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.

Current advances result in increasingly complex production programs. Through combination of additive manufacturing and Industry 4.0, new elements can be formed and - as a whole - enable to economically manufacture the above mentioned programs. The Bionic Smart Factory 4.0 provides a framework, structuring them in terms of relation and interaction. Their development and implementation is being promoted through their evaluation against the determinants of complex production programs.