| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Methodical Approach to Reducing Design Time by using Neural Networks in Early Stages of Concept Development |
| Author(s) |
Manuel Ott, Iryna Mozgova, Niclas Meihöfener |
| On-Site Speaker (Planned) |
Manuel Ott |
| Abstract Scope |
Modern companies often face various challenges in concept development of products or systems. Design engineers prepare initial concepts and incorporate them into 3D models. These are then simulated by computational engineers. If requirements are not met, this necessitates an iterative process that runs between the design and computation departments until a concept that is valid for both sides is created. Design methods such as topology optimization are often used here. The upcoming result is then attempted to be adapted to certain manufacturing processes. These iteration loops can sometimes take a very long time, since the model construction and structural optimization generate large computational efforts. The present work shows on an example a methodical approach to solving this problem, including a description of methods and techniques, as well as possible problems in a detailed analysis concerning training data for neural networks and their abstraction capabilities. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |