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A Novel Approach Toward Predicting Geometric Deviations in Additively Manufactured TPMS Lattice Structures Using Conditional Generative Adversarial Networks

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
JournalInternational Journal of Precision Engineering and Manufacturing
DOIs
StateAccepted/In press - 2026

ASJC Scopus Subject Areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Keywords

  • Generative adversarial network
  • Geometric deviation
  • In-situ monitoring
  • Laser powder bed fusion
  • Lattice structure

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