Efficient design optimization of variable-density cellular structures for additive manufacturing: theory and experimental validation

By Lin Cheng, Pu Zhang, E. Biyikli, Jiaxi Bai, J. Robbins, Albert C. To. 2017

208 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/114aecaea2801a78c0ec4bcd7d64194ba8289762

How researchers see this paper

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

In Building and Construction

1. Charlie C. L. Wang

In Civil and Structural Engineering

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

In Mechanical Engineering

1. Lin Cheng
2. Jiaxi Bai
3. Krishnan Suresh
4. J. Lemon
5. Qiang Chen
6. Albert C. To
7. Xuan Liang
8. Jikai Liu

Citations in the corpus

• Current and future trends in topology optimization for additive manufacturing (2018, methodology): “In summary, we have seen significant research achievements in the past few years and also the numerous successful printings of the topological designs (Cheng et al. 2017; Vogiatzis et al. 2017a; Gaynor et al. 2014; Maute et al. 2015; Meisel and Williams 2015; Dede et al. 2015; Smith et al. 2016).”
• On utilizing topology optimization to design support structure to prevent residual stress induced build failure in laser powder bed metal additive manufacturing (2019, methodology): “To address these issues, graded lattice structure topology optimization (LSTO) is employed to design the support structure instead of conventional TO.”