Potentials of Numerical Methods for Increasing the Productivity of Additive Manufacturing Processes

Author:

Scheithauer Uwe1ORCID,Romanova Tetyana23,Pankratov Oleksandr23,Schwarzer-Fischer Eric1,Schwentenwein Martin4ORCID,Ertl Florian4,Fischer Andreas5

Affiliation:

1. Fraunhofer Institute for Ceramic Technologies and Systems (IKTS), Winterbergstraße 28, 01277 Dresden, Germany

2. A. Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, Pozharsʹkoho St., 2/10, 61046 Kharkiv, Ukraine

3. Department of Systems Engineering, Kharkiv National University of Radioelectronics, 14 Nauky Ave., 61166 Kharkiv, Ukraine

4. Lithoz GmbH, Mollardgasse 85a/2/64-69, 1060 Vienna, Austria

5. Institute of Numerical Mathematics, Technische Universität Dresden, 01062 Dresden, Germany

Abstract

Thanks to the layer-by-layer creation of components, additive manufacturing (AM) processes enable the flexible production of components with highly complex geometries, that were previously not realizable or only with very great effort. While AM technologies are very widespread in the research sector, they have so far only been used industrially in a few individual areas of application. The manufacturing costs are one reason for this. In this work, a new approach for the optimized arrangement of components in the building box and its potential for reducing the manufacturing costs are presented, illustrated by a selected example, and a discussion. Three types of cylinders, which differ in geometry and/or inclination, are required in quantities of around 1000 each. The optimization aims at an arrangement with the smallest possible number of printing jobs. Compared to the solution obtained by the current automatic software tool that is based on the bounding box method, the optimized arrangement leads to a 70% increase in the number of components on a building platform or, in other words, to a 44% reduction in the number of building platforms needed to manufacture 980 components of each type. Finally, a three-step method is proposed, to optimize the manufacturing preparation for AM components automatically in the future.

Funder

Volkswagen Foundation

Publisher

MDPI AG

Subject

Materials Science (miscellaneous),Ceramics and Composites

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