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Parametric Shape Optimization for Combined Additive–Subtractive Manufacturing

Abstract

In industrial practice, additive manufacturing (AM) processes are often followed by post-processing operations such as heat treatment, subtractive machining, milling, etc., to achieve the desired surface quality and dimensional accuracy. Hence, a given part must be 3D-printed with extra material to enable this finishing phase. This combined additive/subtractive technique can be optimized to reduce manufacturing costs by saving printing time and reducing material and energy usage. In this work, a numerical methodology based on parametric shape optimization is proposed for optimizing the thickness of the extra material, allowing for minimal machining operations while ensuring the finishing requirements. Moreover, the proposed approach is complemented by a novel algorithm for generating inner structures to reduce the part distortion and its weight. The computational effort induced by classical constrained optimization methods is alleviated by replacing both the objective and constraint functions by their sparse grid surrogates. Numerical results showcase the effectiveness of the proposed approach.
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Category

Academic article

Language

English

Author(s)

  • Lorenzo Tamellini
  • Michele Chiumenti
  • Christian Altenhofen
  • Marco Attene
  • Oliver Barrowclough
  • Marco Livesu
  • Federico Marini
  • Massimiliano Martinelli
  • Vibeke Skytt

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • National Research Council
  • Spain
  • Germany

Year

2019

Published in

JOM

ISSN

1047-4838

Volume

72

Issue

1

Page(s)

448 - 457

View this publication at Norwegian Research Information Repository