A Pareto-Optimal Approach to Multimaterial Topology Optimization

By Amir M. Mirzendehdel, Krishnan Suresh. 2015

58 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/50bb7fcd959ea2dd8b9f1451d15cecce4a6bab20

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Amir M. Mirzendehdel
2. Krishnan Suresh
3. Akihiro Takezawa
4. Zhan Kang
5. Lin Cheng
6. Jikai Liu
7. Albert C. To
8. Xuan Liang

In Computational Theory and Mathematics

1. Krishnan Suresh
2. Zhan Kang
3. Akihiro Takezawa
4. Amir M. Mirzendehdel
5. Jikai Liu
6. Andrew T. Gaynor
7. Charlie C. L. Wang
8. Lei Li

In Industrial and Manufacturing Engineering

1. Krishnan Suresh
2. Amir M. Mirzendehdel
3. Lei Li
4. Lin Cheng
5. Akihiro Takezawa
6. Shikui Chen
7. Zhan Kang
8. Albert C. To

Citations in the corpus

• Current and future trends in topology optimization for additive manufacturing (2018, background): “Instead, in (Mirzendehdel and Suresh 2015), the compliance and total mass were treated as conflicting objectives, and the corresponding Pareto curve was traced; no constraint was imposed on the material composition.”
• Support structure constrained topology optimization for additive manufacturing (2016, methodology): “Among these, we propose to use the level-set based Pareto Topology Optimization (PareTO) method [46]–[48] for the following reasons: (1) in level-set methods, the boundary is well-defined at all times, making it easier to impose support structure constraints, and (2) PareTO relies on the topological”