您当前的位置:
首页 >
文章列表页 >
Application comparison of response surface method and machine learning in optimizing laser transmission welding plastic molding process
Process Technology | 更新时间:2026-07-15
    • Application comparison of response surface method and machine learning in optimizing laser transmission welding plastic molding process

    • Engineering Plastics Application   Vol. 54, Issue 6, Pages: 111-120(2026)
    • DOI:10.3969/j.issn.1001-3539.2026.06.013    

      CLC: TQ322.3
    • Received:07 April 2026,

      Revised:2026-05-18,

      Accepted:19 May 2026,

      Published:10 June 2026

    移动端阅览

  • ZHANG Aiqing,WU Yitao,ZHANG Huang,et al. Application comparison of response surface method and machine learning in optimizing laser transmission welding plastic molding process[J]. Engineering Plastics Application,2026,54(6):111-120. DOI: 10.3969/j.issn.1001-3539.2026.06.013.

  •  
  •  

0

Views

6

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Analysis on Principle and Material Influence Factors of Plastics Laser Transmission Welding
Laser transmission welding performance of GF/PPS composites
Progress in Application of Machine Learning In Field of Composite Materials
Discussion on Factors Affecting Measurement Accuracy of Density of Plastics
Experiment Research Progress on Dynamic Compression Mechanical Property of Plastics Based on SHPB

Related Author

Xue Changming
Yue Guicheng
Gao Jianfeng
GAO Jianfeng
XUE Changming
YUE Guicheng
NIE Hao
Ma Qihua

Related Institution

Shanghai Chinaust Automotive Plastics Corp., Ltd., Shanghai
Shanghai Chinaust Automotive Plastics Corp.,Ltd.
School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science
Key Laboratory of High Performance Fibers & Products,Ministry of Education,Donghua University
CNGC Instute 53 Yuyao Branch, Yuyao
0