基于Kriging模型的超高强度钢板热冲压工艺参数优化
发布时间:2019-01-25 09:35
【摘要】:为了改善超高强度钢板冲压件的加工质量,以某方形槽热冲压件为对象,以板料淬火温度、模具初始温度、冲压速度和模具间隙为设计变量,以冲压件成形温降、回弹量和成形减薄率3个质量指标为响应量,构建了热冲压加工质量指标的Kriging模型。在此基础上,以构建的Kriging模型为目标函数,建立超高强度钢板热冲压工艺参数多目标优化模型。应用第二代非支配遗传算法进行寻优计算,获得了优化的热冲压工艺参数:B1500HS超高强度钢板零件热冲压的最佳淬火温度为898.3℃,模具的初始温度为67.1℃,冲压速度为39.64 mm·s-1,模具间隙为2.2 mm。工艺参数优化后的验算结果表明,工艺参数优化后,成形温度更加均匀,回弹量减少25.6%,最大减薄率下降23%。
[Abstract]:In order to improve the processing quality of the stamping parts of ultra-high strength steel plate, taking the hot stamping parts with a square slot as the object, taking the quenching temperature of the sheet metal, the initial temperature of the die, the stamping speed and the clearance of the die as the design variables, and taking the forming temperature drop of the stamping parts as the design variables, The Kriging model of hot stamping quality index is constructed based on three quality indexes of springback and thinning rate. On this basis, the multi-objective optimization model of hot stamping process parameters of ultra-high strength steel plate is established with the Kriging model as objective function. By using the second generation non-dominant genetic algorithm, the optimized hot stamping process parameters are obtained: the optimum quenching temperature is 898.3 鈩,
本文编号:2415015
[Abstract]:In order to improve the processing quality of the stamping parts of ultra-high strength steel plate, taking the hot stamping parts with a square slot as the object, taking the quenching temperature of the sheet metal, the initial temperature of the die, the stamping speed and the clearance of the die as the design variables, and taking the forming temperature drop of the stamping parts as the design variables, The Kriging model of hot stamping quality index is constructed based on three quality indexes of springback and thinning rate. On this basis, the multi-objective optimization model of hot stamping process parameters of ultra-high strength steel plate is established with the Kriging model as objective function. By using the second generation non-dominant genetic algorithm, the optimized hot stamping process parameters are obtained: the optimum quenching temperature is 898.3 鈩,
本文编号:2415015
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