Support structure constrained topology optimization for additive manufacturing

By Amir M. Mirzendehdel, Krishnan Suresh. Comput. Aided Des., 2016

307 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/537da308a61f154548224ecfce88d46cd506baf1

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. Zhan Kang
2. Krishnan Suresh
3. Xiaoping Qian
4. Akihiro Takezawa
5. Georgios-Tsampikos Michailidis
6. Charles Dapogny
7. Jikai Liu
8. Lin Cheng

In Computational Theory and Mathematics

1. Zhan Kang
2. Xiaoping Qian
3. Georgios-Tsampikos Michailidis
4. Krishnan Suresh
5. Akihiro Takezawa
6. Charles Dapogny
7. Jikai Liu
8. A. Faure

In Control and Systems Engineering

1. Xiaoping Qian
2. Georgios-Tsampikos Michailidis
3. Charles Dapogny
4. Grégoire Allaire
5. A. Faure
6. Lei Li
7. Krishnan Suresh
8. Lin Cheng

Citations in the corpus

• Undercut and overhang angle control in topology optimization: A density gradient based integral approach (2017, background): “Support structure sensitivity based topology optimization is studied in [31].”
• The barriers to the progression of additive manufacture: perspectives from UK industry (2018, background): “Research literature in this area has focussed on optimisation of certain aspects such as support and internal structures with reference to manufacturing constraints (Gardan and Schneider, 2015; Gaynor and Guest, 2016; Li et al., 2016c; Mirzendehdel and Suresh, 2016; Morgan et al., 2016).”
• Current and future trends in topology optimization for additive manufacturing (2018, methodology): “Another point worth mentioning is that producing part with functionally graded material is enabled by AM and there are different topology optimization approaches available for designing this type of structures (Xia and Wang 2008; Dunning et al. 2015; Paulino et al. 2009; Taheri and Suresh 2017; Conl”
• Shape optimization of a layer by layer mechanical constraint for additive manufacturing (2017, methodology): “Hitherto, ad hoc criteria, based on a minimum angle between the structural boundary and the horizontal directions, have been used to tackle this issue [14, 19, 20].”
• Support Structures for Additive Manufacturing: A Review (2018, background): “Mirzendehdel and Suresh [95] proposed a topology optimization methodology that can lead to designs requiring significantly reduced support structures.”