Defect-Driven Topology Optimisation: TopFat algorithm validation via 3D components re-design for real industrial applications-Reference-Cited by-同舟云学术

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Defect-Driven Topology Optimisation: TopFat algorithm validation via 3D components re-design for real industrial applications

Published:2022 Issue: Volume:39 Page:81-88
ISSN:2452-3216
Container-title:Procedia Structural Integrity
language:en
Short-container-title:Procedia Structural Integrity

Author:

Caivano Riccardo,Tridello Andrea,Barletta Giovanni,Gallo Nicola,Baroni Antonio,Berto Filippo,Paolino Davide

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology

Reference37 articles.

1. Metal additive manufacturing: A review;Frazier;J Mater Eng Perform,2014

2. Lasers in additive manufacturing: A review;Lee;Int J Precis Eng Manuf - Green Technol,2017

3. Yakout M, Elbestawi MA, Veldhuis SC. A review of metal additive manufacturing technologies. Solid State Phenom 2018;278 SSP:1–14. https://doi.org/10.4028/www.scientific.net/SSP.278.1.

4. Gibson I, Rosen D, Stucker B. Additive Manufacturing Technologies. Springer; 2015.

5. Hällgren S, Pejryd L, Ekengren J. (Re)Design for Additive Manufacturing. Procedia CIRP 2016;50:246–51. https://doi.org/10.1016/j.procir.2016.04.150.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fatigue design of Additive Manufacturing components through Topology Optimization: Comparison of methodologies based on the defect distribution and on the stress gradient;Fatigue & Fracture of Engineering Materials & Structures;2023-06-24

2. Topology optimization for metal additive manufacturing: current trends, challenges, and future outlook;Virtual and Physical Prototyping;2023-03-09

3. Defect-Driven topology optimization for fatigue design of additive manufacturing structures: Application on a real industrial aerospace component;Engineering Failure Analysis;2022-12

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