ON THE TREATMENT OF REQUIREMENTS IN DFAM: THREE INDUSTRIAL USE CASES

Felix Endress, Jasper Rieser, Markus Zimmermann

Research output: Contribution to journalConference articlepeer-review

Abstract

Optimization-driven design offers advantages over traditional experience-based mechanical design. As an example, topology optimization can be a powerful tool to generate body shapes for Additive Manufacturing (AM). This is helpful, when (1) load paths are non-intuitive due to complex design domains or boundary conditions, or (2) the design process is to be automated to minimize effort associated with experience-based design. However, practically relevant boundary conditions are often difficult to put into a formal mathematical language to, for example, either feed it into a topology optimization algorithm, or provide precise quantitative criteria for CAE-supported manual design. This paper presents a survey of three industry use cases and identifies three types of requirements: the first can be directly cast into parts of an optimization problem statement (∼ 40%), the second is considered indirectly by adapting the optimization problem without explicit reference to the requirement (∼ 20%), and the third is only assessed after the design is finalized (∼ 40%). For categories 2 and 3 we propose directions of improvement to support formulating complex design tasks as unambiguous design problems.

Original languageEnglish
Pages (from-to)2815-2824
Number of pages10
JournalProceedings of the Design Society
Volume3
DOIs
StatePublished - 2023
Event24th International Conference on Engineering Design, ICED 2023 - Bordeaux, France
Duration: 24 Jul 202328 Jul 2023

Keywords

  • Design for Additive Manufacturing (DfAM)
  • Optimisation
  • Product Development
  • Requirements
  • Topology Optimisation

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