Optimization and Improvement of the Projection Welding of Nut Based on Regression Analysis

DOI Web Site 2 Citations 9 References
  • Xing Liwei
    School of Material Science and Engineering, Xi’an Shiyou University
  • Yu Tianjian
    School of Material Science and Engineering, Xi’an Shiyou University
  • Zhang Jie
    School of Material Science and Engineering, Xi’an Shiyou University
  • Xing Xiaofang
    School of Material Science and Engineering, Xi’an Shiyou University
  • Lu Hao
    School of Material Science and Engineering, Xi’an Shiyou University

Description

<p>Since it has the advantages of high production efficiency, no shunting effects, and the ability to arrange solder joints on narrow locations without the limitation of point distance, projection welding of nut has been widely used in the automotive industry. This paper presents a new welding quality prediction and analysis framework by using regression analysis techniques. The relationship between the welding parameters (welding time, welding current and electrode force) and the Pull-out load of the M6 welded square nut and the 1.5 mm thick pickled hot-rolled steel was obtained by multiple nonlinear regression analysis. The influence and interaction of welding parameters on the Pull-out load are discussed. Using this regression model, a better combination of process parameters can be obtained. The mechanical properties, microstructure and microhardness of welded joints were also investigated.</p>

Journal

  • ISIJ International

    ISIJ International 63 (4), 694-702, 2023-04-15

    The Iron and Steel Institute of Japan

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