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首页|期刊导航|防务技术|Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding:A model-data-driven AOA-BP neural network framework

Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding:A model-data-driven AOA-BP neural network framework

Yajie Feng Juan Xiao Hongjian Gu Fang Qi Zhiyuan Ning Xigao Jian Liangliang Shen Jian Xu

防务技术2026,Vol.59Issue(5):325-337,13.
防务技术2026,Vol.59Issue(5):325-337,13.DOI:10.1016/j.dt.2025.11.015

Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding:A model-data-driven AOA-BP neural network framework

Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding:A model-data-driven AOA-BP neural network framework

Yajie Feng 1Juan Xiao 1Hongjian Gu 2Fang Qi 3Zhiyuan Ning 3Xigao Jian 2Liangliang Shen 1Jian Xu1

作者信息

  • 1. State Key Laboratory of Fine Chemicals,Liaoning High Performance Polymer Engineering Research Center,School of Chemical Engineering,Dalian University of Technology,Dalian,116024,China||Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications,Ningbo Key Laboratory of Special Energy Materials and Chemistry,Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo,315201,China
  • 2. State Key Laboratory of Fine Chemicals,Liaoning High Performance Polymer Engineering Research Center,School of Chemical Engineering,Dalian University of Technology,Dalian,116024,China
  • 3. Shenyang Aircraft Industry(Group)Co.,Ltd.,Liaoning,Shenyang,110850,China
  • 折叠

摘要

关键词

Thermoplastic composite material/Resistance welding/Finite element model/Machine learning/Defect analysis

Key words

Thermoplastic composite material/Resistance welding/Finite element model/Machine learning/Defect analysis

引用本文复制引用

Yajie Feng,Juan Xiao,Hongjian Gu,Fang Qi,Zhiyuan Ning,Xigao Jian,Liangliang Shen,Jian Xu..Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding:A model-data-driven AOA-BP neural network framework[J].防务技术,2026,59(5):325-337,13.

基金项目

This work was supported by the National Key Research and Development Program"Advanced Structures and Composite Ma-terials"Special Project(Grant No.2024YFB3712800) (Grant No.2024YFB3712800)

"Ningbo 3315 Plan Innovation Team"(Grant No.2017A-28-C) (Grant No.2017A-28-C)

the Funda-mental Research Funds for the Central Universities(Grant No.DUT22LAB605). (Grant No.DUT22LAB605)

防务技术

2214-9147

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