刘柯, 杨光, 曾泽群, 等. 基于温升演化的异质材料点焊接头疲劳极限快速预测[J]. 焊接, 2024(4):8 − 13. DOI: 10.12073/j.hj.20220412003
引用本文: 刘柯, 杨光, 曾泽群, 等. 基于温升演化的异质材料点焊接头疲劳极限快速预测[J]. 焊接, 2024(4):8 − 13. DOI: 10.12073/j.hj.20220412003
Liu Ke, Yang Guang, Zeng Zequn, et al. Rapid prediction of fatigue limits of heterogeneous material spot welded joints based on the evolution of temperature rise[J]. Welding & Joining, 2024(4):8 − 13. DOI: 10.12073/j.hj.20220412003
Citation: Liu Ke, Yang Guang, Zeng Zequn, et al. Rapid prediction of fatigue limits of heterogeneous material spot welded joints based on the evolution of temperature rise[J]. Welding & Joining, 2024(4):8 − 13. DOI: 10.12073/j.hj.20220412003

基于温升演化的异质材料点焊接头疲劳极限快速预测

Rapid prediction of fatigue limits of heterogeneous material spot welded joints based on the evolution of temperature rise

  • 摘要: 针对传统升降法测定疲劳极限试样需求数量多、历时长、耗费大等特点,论述了一种基于温升演化的不锈钢−碳钢异质材料点焊接头疲劳极限快速预测方法。通过对SUS301L-Q235B点焊接头单试样进行逐级应力加载,并借助红外热像仪获取试样实时温升变化,然后基于建立的疲劳极限预测模型计算得到的疲劳极限值为4.883 kN。传统升降法试验测定的疲劳极限值为5.00 kN,预测值与试验值之间误差为2.34%,验证了红外热像法预测点焊接头疲劳极限的精确性,为疲劳极限预测评估提供了一种新思路。

     

    Abstract: For the traditional elevation method to determine the fatigue limit specimens require a large number of demand, take a long time, costly and other characteristics, a temperature rise based evolution of stainless steel-carbon steel heterogeneous material spot welded joints fatigue limit fast prediction method is discussed. Through the SUS301L-Q235B spot welded joints single specimen for step-by-step stress loading, and with the help of infrared thermal imaging camera to obtain real-time temperature changes in the specimen, and then based on the establishment of the fatigue limit prediction model to calculate the fatigue limit value of 4.883 kN. traditional lifting method test to determine the fatigue limit value of 5.00 kN, the error between the predicted value and the test value of 2.34%. The above illustrates the prediction of fatigue limit of the spot welded joints with infrared thermal imaging method is accurate, providing a new idea for fatigue limit prediction assessment.

     

/

返回文章
返回