Topological optimization of internal patterns and support in additive manufacturing

By N. Gardan, A. Schneider. 2015

150 citations recorded by the source corpus.

Subfields: Automotive Engineering, Civil and Structural Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/d7a247ef288044c474fc00b572fe302a2ffcdc70

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

1. Moataz M. Attallah

In Industrial and Manufacturing Engineering

1. Moataz M. Attallah

Citations in the corpus

• Assembly Based Methods to Support Product Innovation in Design for Additive Manufacturing: An Exploratory Case Study (2015, unknown): “We classify in this category methods based on optimization techniques (parametric and topological) [25,26], those using elementary shapes like lattices structures [41], cellular structures [39], or bionic structures [28] and those defining design features produced by specific AM technologies [30].”
• 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).”