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NEURAL NETWORKS IN DESIGN TO EXPLOIT THE POTENTIAL OF ADDITIVE MANUFACTURING TECHNOLOGIES

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Abstract:

Additive manufacturing offers the possibility of converting digital prototypes into real structures as quickly as possible thanks to the special feature of tool-free manufacturing. However, this process can only be used at optimum speed if bottlenecks can be effectively avoided. One of these is the design process. In the field of AM in particular, more and more powerful software solutions have recently been published which allow to accelerate the Design for additive Manufacturing, including most Computer-Aided-Design-tasks. In many areas, therefore, attempts are already being made to automate as much steps as possible, not infrequently using neural networks and artificial intelligence. This article uses the example of an automated structural optimization of a chair to demonstrate, why the use of neural networks in the design process is useful to further link the fields of conventional topology optimization and generative design to reduce product development time.

Reference
ADD-2022-014

Title
NEURAL NETWORKS IN DESIGN TO EXPLOIT THE POTENTIAL OF ADDITIVE MANUFACTURING TECHNOLOGIES
Author(s)
M. Ott, N. Meihöfener, R. Koch
DOI
10.48447/ADD-2022-014
Year of publication
2022
Publication type
conference paper (PDF)
Language
German
Keywords
Artificial Intelligence; Neuronal Networks; 3D printing; Design for additive Manufacturing