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Title:
FSW TENSILE STRENGTH INTELLIGENT PREDICTION METHOD CONSIDERING WELDING TEMPERATURE AND UPSETTING FORCE
Document Type and Number:
WIPO Patent Application WO/2023/231244
Kind Code:
A1
Abstract:
A friction stir welding (FSW) tensile strength intelligent prediction method considering the welding temperature and the upsetting force. An experiment and theory combined method is adopted, an FSW experiment is carried out, shaft shoulder peripheral advancing-side and retreating-side feature point temperatures and upsetting force time series data on a surface of a weldment in a welding process are obtained by using an infrared thermal imager and a dynamometer, and a one-dimensional convolutional neural network is trained and tested by using obtained temperature data and upsetting force data, so that FSW tensile strength prediction is realized, and a reference is provided for regulation and control of the welding process.

Inventors:
LU XIAOHONG (CN)
MA CHONG (CN)
JIA ZHENYUAN (CN)
SUN SHIXUAN (CN)
LUAN YIHAN (CN)
TENG LE (CN)
Application Number:
PCT/CN2022/121213
Publication Date:
December 07, 2023
Filing Date:
September 26, 2022
Export Citation:
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Assignee:
UNIV DALIAN TECH (CN)
International Classes:
B23K20/12; B23K20/26; B23K31/02; B23K31/12; G01J5/48
Domestic Patent References:
WO2021007812A12021-01-21
WO2010050834A12010-05-06
Foreign References:
CN114888426A2022-08-12
CN112643190A2021-04-13
CN109977948A2019-07-05
CN112388148A2021-02-23
Attorney, Agent or Firm:
LIAONING HONGWEN INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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