Large-scale identification of parts suitable for additive manufacturing: An industry perspective

Jacob J. Shepherd, Nicholas A. Meisel

Research output: Contribution to conferencePaperpeer-review

Abstract

Additive manufacturing (AM) has many potential benefits to the aerospace industry, especially when low production quantities are required. These benefits range from lightweight and complex geometries to reduced setup costs and lead time. One of the largest challenges to introducing AM into an existing aerospace vehicle is identifying which parts are candidates to be printed. This paper identifies a number of criteria that can be used to quickly filter parts into three categories: Printable As-Is, Easily Redesigned for Printing, and Not Printable Parts. The criteria are also broken into three tiers based on their level of impact on eliminating parts from the selection process. As a demonstration of these criteria, a case study is performed on a suborbital rocket, consisting of over a thousand unique parts. A flow chart is provided to guide the implementation of the filtering criteria, as well as methods to adapt the criteria to different industries.

Original languageEnglish (US)
Pages33-44
Number of pages12
StatePublished - 2019
Event30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019 - Austin, United States
Duration: Aug 12 2019Aug 14 2019

Conference

Conference30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019
CountryUnited States
CityAustin
Period8/12/198/14/19

All Science Journal Classification (ASJC) codes

  • Surfaces, Coatings and Films
  • Surfaces and Interfaces

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