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3D printing and additive manufacturing. 2025 Feb 13;12(1):11-22. doi: 10.1089/3dp.2023.0285 Q32.12025

Multi-Image Fusion-Based Defect Detection Method for Real-Time Monitoring of Recoating in Ceramic Additive Manufacturing

基于多图像融合的陶瓷增材制造重涂过程缺陷检测方法研究 翻译改进

Xinjian Jia  1  2, Tongcai Wang  1, Yizhe Yang  1  2, Xiaodong Liu  1  2, Xin Li  1  2, Bingshan Liu  1  2, Gong Wang  1  2

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作者单位

  • 1 Key Laboratory of Space Manufacturing Technology (SMT), Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China.
  • 2 University of Chinese Academy of Sciences, Beijing, China.
  • DOI: 10.1089/3dp.2023.0285 PMID: 40151680

    摘要 Ai翻译

    Vat photopolymerization is characterized by its high precision and efficiency, making it a highly promising technique in ceramic additive manufacturing. However, the process faces a significant challenge in the form of recoating defects, necessitating real-time monitoring to maintain process stability. This article presents a defect detection method that leverages multi-image fusion and deep learning for identifying recoating defects in ceramic additive ma... ...点击完成人机验证后继续浏览
    Copyright © 3D printing and additive manufacturing. 中文内容为AI机器翻译,仅供参考!

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    期刊名:3d printing and additive manufacturing

    缩写:3D PRINT ADDIT MANUF

    ISSN:2329-7662

    e-ISSN:2329-7670

    IF/分区:2.1/Q3

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    Multi-Image Fusion-Based Defect Detection Method for Real-Time Monitoring of Recoating in Ceramic Additive Manufacturing