Application to CAE systems
- Due to the broad acceptance of CAD-systems based on 3D solids, the geometric data of all common CAE (Computer-Aided Engineering) software, at least in mechanical engineering, are based on these solids. We use solid models, where the space filled by material is defined in a simple and easily useable way. Solid models allow for the development of automated meshers that transform solid volumes into finite elements. Even after some unacceptable initial trials, users are able to generate meshes of non-trivial geometries within minutes to hours, instead of days or weeks. Once meshing had no longer been the cost limiting factor of finite element studies, numerical simulation became a tool for smaller industries as well. Due to the broad acceptance of CAD-systems based on 3D solids , the geometric data of all common CAE (Computer-Aided Engineering) software, at least in mechanical engineering, are based on these solids. We use solid models , where the space filled by material is defined in a simple and easily useable way. Solid models allow for the development of automated meshers that transform solid volumes into finite elements. Even after some unacceptable initial trials, users are able to generate meshes of non-trivial geometries within minutes to hours, instead of days or weeks. Once meshing had no longer been the cost limiting factor of finite element studies, numerical simulation became a tool for smaller industries as well. In the early days of automated meshing development, there were discussions over the use of tetragonal (Fig. 4.1) or hexagonal based meshes. But, after a short period of time, it became evident, that there were and will always be many problems using automated meshers to generate hexagonal elements . So today nearly all automated 3D-meshing systems use tetragonal elements .
Author of HS Reutlingen | Steinbuch, Rolf; Fasold-Schmid, Andreas; Gekeler, Simon; Burovikhin, Dmitrii |
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DOI: | https://doi.org/10.1007/978-3-662-46596-7_4 |
ISBN: | 978-3-662-46596-7 |
Erschienen in: | Bionic optimization in structural design : stochastically based methods to improve the performance of parts and assemblies |
Publisher: | Springer |
Place of publication: | Berlin, Heidelberg |
Editor: | Rolf Steinbuch |
Document Type: | Book chapter |
Language: | English |
Publication year: | 2016 |
Page Number: | 21 |
First Page: | 79 |
Last Page: | 99 |
PPN: | Im Katalog der Hochschule Reutlingen ansehen |
DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
Open access?: | Nein |
Licence (German): | ![]() |