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超高强度钢CP780冷冲压成形摩擦行为研究

李炜 孙天宇 冯远康 靳阳 胡晓 樊华

李炜, 孙天宇, 冯远康, 靳阳, 胡晓, 樊华. 超高强度钢CP780冷冲压成形摩擦行为研究[J]. 西南交通大学学报. doi: 10.3969/j.issn.0258-2724.20250250
引用本文: 李炜, 孙天宇, 冯远康, 靳阳, 胡晓, 樊华. 超高强度钢CP780冷冲压成形摩擦行为研究[J]. 西南交通大学学报. doi: 10.3969/j.issn.0258-2724.20250250
LI Wei, SUN Tianyu, FENG Yuankang, JIN Yang, HU Xiao, FAN Hua. Study on Friction Behavior of Ultra-High Strength Steel CP780 in Cold Stamping and Forming[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250250
Citation: LI Wei, SUN Tianyu, FENG Yuankang, JIN Yang, HU Xiao, FAN Hua. Study on Friction Behavior of Ultra-High Strength Steel CP780 in Cold Stamping and Forming[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250250

超高强度钢CP780冷冲压成形摩擦行为研究

doi: 10.3969/j.issn.0258-2724.20250250
基金项目: 四川省攀西试验区重大科技攻关项目(第六批项目)
详细信息
    作者简介:

    李炜(1969—),女,教授,博士,研究方向为材料表面工程,E-mail:liweijiani@home.swjtu.edu.cn

    通讯作者:

    胡晓(1990—),男,高级工程师,研究方向为金属塑性成形与材料本构模型,E-mail:yjyhuxiao@pzhsteel.com.cn

Study on Friction Behavior of Ultra-High Strength Steel CP780 in Cold Stamping and Forming

  • 摘要:

    针对传统摩擦模型在预测超高强度钢成形过程数值模拟精度较低问题,本文基于自主研发的超高强度钢冲压摩擦试验机,研究滑动速度和法向载荷对CP780超高强度钢摩擦行为的影响;建立滑动速度与法向载荷相关的超高强度钢冲压成形动态摩擦系数模型;通过U形弯曲试验与仿真模拟相结合验证模型的有效性. 研究结果表明:CP780板料摩擦系数其随着滑动速度的增大而增大,随着载荷的增大而减小;在低载低速条件下,CP780板料的磨损机制主要为犁削效应;在高速高载条件下,其磨损机制主要为犁削效应和部分黏着效应;通过U形弯曲试验的回弹测试值与数值模拟结果比较得到,动态摩擦模型预测的回弹角α误差为1.509%,回弹角β误差为0.348%;而传统恒定摩擦系数回弹角α的误差最高达到了12.483%,回弹角β误差最高达到了4.994%. 本文建立的动态摩擦模型在回弹角度预测方面更为精准,能够大大提高成形件数值模拟的精度.

     

  • 图 1  摩擦副试样

    Figure 1.  Friction pair specimens

    图 2  冲压摩擦试验机

    Figure 2.  Stamping friction testing machine

    图 3  U形件冲压弯曲试验

    Figure 3.  Stamping and bending test of U-shaped parts

    图 4  CP780板料摩擦系数变化

    Figure 4.  Changes in friction coefficient of CP780 sheet materials

    图 5  CP780在滑动速度50 mm/s下的典型表面形貌

    Figure 5.  Typical surface morphology of CP780 at a sliding speed of 50 mm/s

    图 6  CP780在法向载荷320 MPa下的典型表面形貌

    Figure 6.  Typical surface morphology of CP780 under normal load of 320 MPa

    图 7  不同参数下磨痕表面三维形貌

    Figure 7.  3D morphology of wear marks under different parameters

    图 8  反函数模型拟合曲线

    Figure 8.  Fitting curves of inverse function model

    图 9  参数m关于滑动速度的拟合曲线

    Figure 9.  Fitting curve of parameter m with respect to sliding speed

    图 10  参数n关于滑动速度的拟合曲线

    Figure 10.  Fitting curve of parameter n with respect to sliding speed

    图 11  三维模型装配图

    Figure 11.  Assembly of 3D model

    图 12  回弹角测量示意

    Figure 12.  Rebound angle measurement

    图 13  不同摩擦系数的回弹预测有限元模拟结果

    Figure 13.  Finite element simulation results of rebound prediction with different friction coefficients

    表  1  试验参数

    Table  1.   Experimental parameters

    材料 速度/(mm·s−1 载荷/MPa
    CP780 10 200
    30 260
    50 320
    70 380
    90 440
    下载: 导出CSV

    表  2  不同工艺参数下的表面粗糙度

    Table  2.   Surface roughness under different process parameters

    载荷/MPa 速度/(mm·s−1 Sa/µm Sa方差/± Sz/µm Sz方差/±
    440 10 0.806 0.056 14.07 2.354
    440 90 0.895 0.062 27.62 1.462
    200 50 1.087 0.102 27.01 2.154
    440 50 0.828 0.023 23.01 1.765
    下载: 导出CSV

    表  3  反函数模型拟合结果

    Table  3.   Fitting results of inverse function model

    速度/(mm·s−1 m n k 拟合优度
    10 0.97681 0.01725 0.138 0.999
    30 0.92321 0.01412 0.138 0.981
    50 0.83718 0.01027 0.138 0.998
    70 0.78548 0.00826 0.138 0.978
    90 0.73503 0.00673 0.138 0.994
    下载: 导出CSV

    表  4  预测值与测量值之间的误差

    Table  4.   Error between predicted and measured values

    编号 载荷/MPa 速度/(mm·s−1 µExp µFit 误差/%
    1 300 20 0.1138 0.1124 −1.26
    2 300 40 0.1169 0.1182 1.08
    3 300 60 0.1194 0.1207 1.04
    4 250 30 0.1172 0.1181 0.72
    5 300 30 0.1155 0.1159 0.3
    6 350 30 0.1135 0.1141 0.52
    注:µExp为平板滑动摩擦试验的摩擦系数试验值;µFit为动态摩擦模型的拟合值.
    下载: 导出CSV

    表  5  不同摩擦系数下的回弹角预测误差

    Table  5.   Prediction errors of rebound angle at different friction coefficients

    压边力/kN 摩擦系数 α/(°) α的误差/% β/(°) β的误差/%
    50 试验值 71.8 0 86.1 0
    动态模型 72.9 1.509 86.4 0.348
    0.05 80.9 12.483 90.4 4.994
    0.15 77.6 8.078 88.5 2.787
    0.3 75.5 5.153 83.8 2.671
    下载: 导出CSV
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  • 收稿日期:  2025-05-08
  • 修回日期:  2025-07-07
  • 网络出版日期:  2026-03-14

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