Computer-aided process planning for wire arc directed energy deposition

Yi Xiong, Audelia Gumarus Dharmawan, Yunlong Tang, Gim Song Soh, David William Rosen

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

Abstract

Wire arc directed energy deposition provides a rapid and cost-effective method for fabricating low-to-medium complexity and medium-to-large size metal parts. However, the complex nonequilibrium phase transformations, inherent to this process, make it a challenging task to produce consistent and high-quality parts, especially for parts with materials or geometries that have not been manufactured before. This study outlines a holistic and data-centric computer-aided process planning framework utilizing a knowledge base to assist engineers in selecting optimal process parameters that reduce dimensional deviations, and therefore to obtain near-net-shape parts using directed energy deposition only. The knowledge base has a data-knowledge-service architecture and is proposed to synthesize information from various sources, e.g., characterization tests. Based on these collected data, several knowledge representations, including database, metamodels, and planning rules, are constructed to support decision-making in the process planning. The proposed framework is demonstrated in the fabrication of components from industrial applications.

Original languageEnglish
Title of host publicationSolid Freeform Fabrication 2019
Subtitle of host publicationProceedings of the 30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019
PublisherUniversity of Texas Press
Pages1094-1105
Number of pages12
Publication statusPublished - 2019
Externally publishedYes
EventAnnual International Solid Freeform Fabrication Symposium 2019 - Austin, United States of America
Duration: 12 Aug 201914 Aug 2019
Conference number: 30th
http://utw10945.utweb.utexas.edu/2019-table-contents

Conference

ConferenceAnnual International Solid Freeform Fabrication Symposium 2019
Abbreviated titleSFF 2019
CountryUnited States of America
CityAustin
Period12/08/1914/08/19
Internet address

Keywords

  • Design for Additive Manufacturing
  • Directed Energy Deposition
  • Knowledge-Based Engineering
  • Process Planning

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