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    • TAE-YOLO: An Efficient Lightweight Casting Defect Detection Algorithm

    • “In the field of sand casting, the TAE-YOLO algorithm significantly improves the efficiency of casting defect detection and provides a new solution for industrial environment deployment.”
    • Vol. 45, Issue 9, Pages: 1320-1326(2025)   

      Received:26 September 2024,

      Revised:2024-10-30,

      Accepted:21 November 2024,

      Published:20 September 2025

    • DOI: 10.15980/j.tzzz.T20240391     

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  • CHEN Z H,ZHANG L,MIAO J H,et al. TAE-YOLO: An efficient lightweight casting defect detection algorithm[J]. Special Casting & Nonferrous Alloys,2025,45(9):1 320-1 326. DOI: 10.15980/j.tzzz.T20240391.
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相关作者

CHEN Yunxia 上海第二工业大学智能制造与控制工程学院
YANG Honggang 上海电机学院机械学院
WU Lei 上海电机学院机械学院
CHU Yukun 上海电机学院机械学院
WANG Tao 太原理工大学机械与运载工程学院;太原理工大学先进金属复合材料成形技术与装备教育部工程研究中心;太原理工大学金属成形技术与重型装备全国重点实验室
NIU Xiaomiao 太原理工大学机械与运载工程学院;太原理工大学先进金属复合材料成形技术与装备教育部工程研究中心;太原理工大学金属成形技术与重型装备全国重点实验室
LIU Yuanming 太原理工大学机械与运载工程学院;太原理工大学先进金属复合材料成形技术与装备教育部工程研究中心;太原理工大学金属成形技术与重型装备全国重点实验室
DU Wangzhe 太原理工大学机械与运载工程学院;太原理工大学先进金属复合材料成形技术与装备教育部工程研究中心;太原理工大学金属成形技术与重型装备全国重点实验室

相关机构

School of Mechanical Engineering, Shanghai Dianji University
School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University
College of Mechanical and Vehicle Engineering, Taiyuan University of Technology
Engineering Research Center of Advanced Metal Composites Forming Technology and Equipment, Taiyuan University of Technology
National Key Laboratory of Metal Forming Technology and Heavy Equipment, Taiyuan University of Technology
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