Details
| Original language | English |
|---|---|
| Pages (from-to) | 387-397 |
| Number of pages | 11 |
| Journal | Journal of Computational Design and Engineering |
| Volume | 6 |
| Issue number | 3 |
| Early online date | 16 Oct 2018 |
| Publication status | Published - Jul 2019 |
Abstract
New multi-material manufacturing technologies demand the development of new mechanical design approaches, as seen in the production of hybrid components through Tailored Forming. Thereby, a new class of high-performance multi-material parts aiming for enhanced properties, such as lightweight properties, can be constructed and brings with it new challenges. The objective of this paper is to develop a method for finding the optimal material distribution for such multi-material components. Thereunto, Topology Optimization techniques were reviewed, focusing on the progress made on multi-materials and manufacturing constraints implementations. Following, a new method was developed and analyzed, called Interfacial Zone Evolutionary Optimization (IZEO), and here expanded for a multi-material approach. This method makes use of the Evolutionary Algorithms methodology to solve structural optimization problems and provides a flexible way to implement manufacturing constraints. Finally, some cases are presented, in which the developed tool was able to generate a multi-material and manufacturable high-performance design.
Keywords
- Manufacturing constraints, Multi-materials, Tailored forming, Topology optimization
ASJC Scopus subject areas
- Engineering(all)
- Computational Mechanics
- Mathematics(all)
- Modelling and Simulation
- Engineering(all)
- Engineering (miscellaneous)
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Mathematics(all)
- Computational Mathematics
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In: Journal of Computational Design and Engineering, Vol. 6, No. 3, 07.2019, p. 387-397.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - An interfacial zone evolutionary optimization method with manufacturing constraints for hybrid components
AU - da Silva de Siqueira, Renan
AU - Mozgova, Iryna
AU - Lachmayer, Roland
N1 - Funding information: The results presented in this paper were obtained under the umbrella of Collaborative Research Center 1153 “Process Chain for Manufacturing Hybrid High-Performance Components by Tailored Forming”, preliminary inspection project C2. The authors would like to thank the German Research Foundation (DFG) and the CRC 1153 for its financial and organizational support.
PY - 2019/7
Y1 - 2019/7
N2 - New multi-material manufacturing technologies demand the development of new mechanical design approaches, as seen in the production of hybrid components through Tailored Forming. Thereby, a new class of high-performance multi-material parts aiming for enhanced properties, such as lightweight properties, can be constructed and brings with it new challenges. The objective of this paper is to develop a method for finding the optimal material distribution for such multi-material components. Thereunto, Topology Optimization techniques were reviewed, focusing on the progress made on multi-materials and manufacturing constraints implementations. Following, a new method was developed and analyzed, called Interfacial Zone Evolutionary Optimization (IZEO), and here expanded for a multi-material approach. This method makes use of the Evolutionary Algorithms methodology to solve structural optimization problems and provides a flexible way to implement manufacturing constraints. Finally, some cases are presented, in which the developed tool was able to generate a multi-material and manufacturable high-performance design.
AB - New multi-material manufacturing technologies demand the development of new mechanical design approaches, as seen in the production of hybrid components through Tailored Forming. Thereby, a new class of high-performance multi-material parts aiming for enhanced properties, such as lightweight properties, can be constructed and brings with it new challenges. The objective of this paper is to develop a method for finding the optimal material distribution for such multi-material components. Thereunto, Topology Optimization techniques were reviewed, focusing on the progress made on multi-materials and manufacturing constraints implementations. Following, a new method was developed and analyzed, called Interfacial Zone Evolutionary Optimization (IZEO), and here expanded for a multi-material approach. This method makes use of the Evolutionary Algorithms methodology to solve structural optimization problems and provides a flexible way to implement manufacturing constraints. Finally, some cases are presented, in which the developed tool was able to generate a multi-material and manufacturable high-performance design.
KW - Manufacturing constraints
KW - Multi-materials
KW - Tailored forming
KW - Topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85064954545&partnerID=8YFLogxK
U2 - 10.1016/j.jcde.2018.10.003
DO - 10.1016/j.jcde.2018.10.003
M3 - Article
AN - SCOPUS:85064954545
VL - 6
SP - 387
EP - 397
JO - Journal of Computational Design and Engineering
JF - Journal of Computational Design and Engineering
SN - 2288-4300
IS - 3
ER -