INVESTIGATING THE RELATIONSHIP BETWEEN GEOMETRIC FEATURES AND INSPECTABILITY OF ADDITIVE MANUFACTURED (AM) PARTS

Debrina Roy, Tanner Srbinovich, Andrea P. Arguelles, Jessica Menold

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The versatility of Additive Manufacturing (AM) has enabled engineers and designers to realize previously impossible geometries. However, the increasing geometric complexities of these components pose a significant challenge for traditional inspection methods. If a part cannot be appropriately inspected costly redesign will be required, or worse fatal flaws and imperfections may not be identified prior to part-use. Considering the constraints of inspection techniques early in the design process could help designers make better design decisions. This paper aims to identify and investigate the fundamental relationship between the geometric features, geometric complexity, and overall inspectability of AM parts. Results suggest that traditionally accepted indicators of geometric complexity, such as lattice structures, do not significantly predict part inspectability.

Original languageEnglish (US)
Title of host publication27th Design for Manufacturing and the Life Cycle Conference (DFMLC)
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791886250
DOIs
StatePublished - 2022
EventASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022 - St. Louis, United States
Duration: Aug 14 2022Aug 17 2022

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume5

Conference

ConferenceASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022
Country/TerritoryUnited States
CitySt. Louis
Period8/14/228/17/22

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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