Optimal topology for additive manufacture: A method for enabling additive manufacture of support-free optimal structures

[Display omitted] •Topology optimisation is often incompatible with traditional manufacturing methods.•Additive manufacture is more compatible with topologically optimal geometries.•A novel method enables support-free additive manufacture of optimal geometry.•The automated method provides robust des...

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Published inMaterials in engineering Vol. 63; pp. 678 - 690
Main Authors Leary, Martin, Merli, Luigi, Torti, Federico, Mazur, Maciej, Brandt, Milan
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2014
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Abstract [Display omitted] •Topology optimisation is often incompatible with traditional manufacturing methods.•Additive manufacture is more compatible with topologically optimal geometries.•A novel method enables support-free additive manufacture of optimal geometry.•The automated method provides robust design guidance not otherwise available.•Manufacturing time is significantly reduced while avoiding material contamination. Topology optimisation enables profound insight into the optimal material distribution for a given structural objective, applied loading and boundary conditions. The topologically optimal geometry is often geometrically complex and incompatible with traditional manufacturing methods. Additive manufacture can accommodate significantly more complex geometries than traditional manufacture; however, it is necessary that specific design rules be satisfied to ensure manufacturability. Based on identified design for additive manufacture rules, a novel method is proposed that modifies the theoretically optimal topology as required to ensure manufacturability without requiring additional support material. By assessing the manufacturing time and component mass associated with feasible orientations of the proposed geometry, an optimal orientation can be identified. A case study is presented to demonstrate the usefulness of the proposed method.
AbstractList Topology optimisation enables profound insight into the optimal material distribution for a given structural objective, applied loading and boundary conditions. The topologically optimal geometry is often geometrically complex and incompatible with traditional manufacturing methods. Additive manufacture can accommodate significantly more complex geometries than traditional manufacture; however, it is necessary that specific design rules be satisfied to ensure manufacturability. Based on identified design for additive manufacture rules, a novel method is proposed that modifies the theoretically optimal topology as required to ensure manufacturability without requiring additional support material. By assessing the manufacturing time and component mass associated with feasible orientations of the proposed geometry, an optimal orientation can be identified. A case study is presented to demonstrate the usefulness of the proposed method.
[Display omitted] •Topology optimisation is often incompatible with traditional manufacturing methods.•Additive manufacture is more compatible with topologically optimal geometries.•A novel method enables support-free additive manufacture of optimal geometry.•The automated method provides robust design guidance not otherwise available.•Manufacturing time is significantly reduced while avoiding material contamination. Topology optimisation enables profound insight into the optimal material distribution for a given structural objective, applied loading and boundary conditions. The topologically optimal geometry is often geometrically complex and incompatible with traditional manufacturing methods. Additive manufacture can accommodate significantly more complex geometries than traditional manufacture; however, it is necessary that specific design rules be satisfied to ensure manufacturability. Based on identified design for additive manufacture rules, a novel method is proposed that modifies the theoretically optimal topology as required to ensure manufacturability without requiring additional support material. By assessing the manufacturing time and component mass associated with feasible orientations of the proposed geometry, an optimal orientation can be identified. A case study is presented to demonstrate the usefulness of the proposed method.
Author Leary, Martin
Mazur, Maciej
Brandt, Milan
Merli, Luigi
Torti, Federico
Author_xml – sequence: 1
  givenname: Martin
  surname: Leary
  fullname: Leary, Martin
  email: martin.leary@rmit.edu.au
  organization: RMIT Centre for Additive Manufacturing, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia
– sequence: 2
  givenname: Luigi
  surname: Merli
  fullname: Merli, Luigi
  organization: Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
– sequence: 3
  givenname: Federico
  surname: Torti
  fullname: Torti, Federico
  organization: Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
– sequence: 4
  givenname: Maciej
  surname: Mazur
  fullname: Mazur, Maciej
  organization: RMIT Centre for Additive Manufacturing, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia
– sequence: 5
  givenname: Milan
  orcidid: 0000-0002-2437-3413
  surname: Brandt
  fullname: Brandt, Milan
  organization: RMIT Centre for Additive Manufacturing, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia
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Snippet [Display omitted] •Topology optimisation is often incompatible with traditional manufacturing methods.•Additive manufacture is more compatible with...
Topology optimisation enables profound insight into the optimal material distribution for a given structural objective, applied loading and boundary...
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SubjectTerms Additives
Boundary conditions
Manufacturability
Optimization
Orientation
Stress concentration
Topology
Title Optimal topology for additive manufacture: A method for enabling additive manufacture of support-free optimal structures
URI https://dx.doi.org/10.1016/j.matdes.2014.06.015
https://www.proquest.com/docview/1642322428
Volume 63
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