A Novel Additive Manufacturing Method for Spiral Parts

  • Xizhi GU
  • , Zhimin HOU
  • , Jing XU
  • , Ken CHEN
  • , Guanglie ZHANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

Abstract

Additive manufacturing (AM) is a promising manufacturing technology. Wire-arc AM (WAAM) has great potential in the metal AM process, and welding based WAAM has its unique advantage. Slicing is an essential work in AM. Currently, most slicing methods are layer-wise, without consideration of the workpiece's geometric and topological characteristics, causing problems such as stair-case effect, anisotropic property and waste of support material, resulting in inaccuracy of finishing part. This paper proposes a spiral slicing method, fully conforming to the part's geometric feature, theoretically eliminating the staircase effect, and obtaining better mechanical property. The slicing direction is along the centroid axis, generating non-uniform thickness layers. The non-uniform layers are realized by adjustment of welding parameters. The whole system is implemented in the RobotStudio®in accordance with characteristics of the welding based WAAM.

Original languageEnglish
Title of host publicationThe 7th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages791-796
Number of pages6
ISBN (Electronic)9781538604908
ISBN (Print)9781538604892
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, United States
Duration: 31 Jul 20174 Aug 2017

Conference

Conference7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Country/TerritoryUnited States
CityHonolulu
Period31/07/174/08/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

The work is partially supported by National Science Foundation of China (No. U1613205 and No. 51675291 ) and the Basic Research Program of Shenzhen (No. J-CYJ20160229123030978).

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