Current and future trends in topology optimization for additive manufacturing
By Jikai Liu, Andrew T. Gaynor, Shikui Chen, Zhan Kang, Krishnan Suresh, Akihiro Takezawa, Lei Li, J. Kato, Jinyuan Tang, Charlie C. L. Wang and 3 more. 2018
767 citations recorded by the source corpus.
Subfields: Automotive Engineering, Civil and Structural Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/f24cb1aee0dd81bd5c0c9ef5d3c5f85c67021f09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Civil and Structural Engineering
- Jeroen Groen
- Jun Wu
- Ole Sigmund
- Ernst Rank
- A. Paolini
- Stefan Kollmannsberger
- Boyan S. Lazarov
- Fengwen Wang
In Industrial and Manufacturing Engineering
Citations in the corpus
- Additive manufacturing in construction: A review on processes, applications, and digital planning methods (2019, background): “However, aspects such as support structures, minimum length-scales, material anisotropy, and multiple scales need to be considered [124].”
- Homogenization-based stiffness optimization and projection of 2D coated structures with orthotropic infill (2019, methodology): “However, Wu et al. (2018) proposed a density-based method to design bone-inspired microstructures as porous infill.”
- Smart materials in additive manufacturing: state of the art and trends (2018, methodology): “…of material phases that extremizes an objective function (e.g. thermal expansion coefficient, piezoelectric coefficients etc) subject to constraints, such as elastic symmetry and volume fractions of the constituent phases, within a periodic base cell (Bendsoe and Sigmund 2003; Liu et al. 2018).”