Multi-objective optimization of cellular scanning strategy in selective laser melting

Ali Ahrari, Kalyanmoy Deb, Sankhya Mohanty, Jesper Henri Hattel

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The scanning strategy for selective laser melting - an additive manufacturing process - determines the temperature fields during the manufacturing process, which in turn affects residual stresses and distortions, two of the main sources of process-induced defects. The goal of this study is to develop a multi-objective approach to optimize the cellular scanning strategy such that the two aforementioned defects are minimized. The decision variable in the chosen problem is a combination of the sequence in which cells are processed and one of six scanning strategies applied to each cell. Thus, the problem is a combination of combinatorial and choice optimization, which makes the problem difficult to solve. On a process simulation domain consisting of 32 cells, our multi-objective evolutionary method is able to find a set of trade-off solutions for the defined conflicting objectives, which cannot be obtained by performing merely a local search. Possible similarities in Pareto-optimal solutions are explored.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE Congress on Evolutionary Computation
Number of pages8
PublisherIEEE
Publication date2017
Pages2730-2737
DOIs
Publication statusPublished - 2017
Event2017 IEEE Congress on Evolutionary Computation - San Sebastian, Spain
Duration: 5 Jun 20178 Jun 2017

Conference

Conference2017 IEEE Congress on Evolutionary Computation
CountrySpain
CitySan Sebastian
Period05/06/201708/06/2017

Keywords

  • Scan strategies
  • Additive manufacturing
  • Residual stress
  • Distortions

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