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Experimental investigation and development of a deep learning framework to predict process-induced surface roughness in additively manufactured aluminum alloys.
Muhammad, Waqas; Kang, Jidong; Ibragimova, Olga; Inal, Kaan.
Affiliation
  • Muhammad W; Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, N2L 3G1 Canada.
  • Kang J; CanmetMATERIALS, 183 Longwood Road South, Hamilton, L8P 0A5 Canada.
  • Ibragimova O; CanmetMATERIALS, 183 Longwood Road South, Hamilton, L8P 0A5 Canada.
  • Inal K; Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, N2L 3G1 Canada.
Weld World ; 67(4): 897-921, 2023.
Article in En | MEDLINE | ID: mdl-37070123
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Weld World Year: 2023 Document type: Article Country of publication: Alemania
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Weld World Year: 2023 Document type: Article Country of publication: Alemania