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基于BP神经网络与遗传算法的温挤压模具优化设计 被引量:7
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作者 孙宪萍 杨兵 +1 位作者 刘强强 王雷刚 《润滑与密封》 CAS CSCD 北大核心 2017年第4期84-88,共5页
以汽车转向螺杆类杯-杆件的温挤压凹模为例进行模具磨损分析及其寿命预测。以影响温挤压凹模磨损的4个主要因素,即凹模入口处圆角大小、模具初始硬度、模具初始温度、摩擦因子作为工艺参数,并分别选取4个不同水平值,确定四因素四水平的3... 以汽车转向螺杆类杯-杆件的温挤压凹模为例进行模具磨损分析及其寿命预测。以影响温挤压凹模磨损的4个主要因素,即凹模入口处圆角大小、模具初始硬度、模具初始温度、摩擦因子作为工艺参数,并分别选取4个不同水平值,确定四因素四水平的32组温挤压凹模磨损试验方案,通过Deform-3D有限元数值模拟软件进行成形过程的数值模拟。以不同影响因素和对应模具的磨损量为样本训练BP神经网络,建立4个主要因素与凹模磨损量之间的映射关系,以温挤压凹模磨损量为目标函数,通过遗传算法对4个影响因素进行组合优化,使凹模磨损量最小、寿命最长。 展开更多
关键词 模具磨损分析 数值模拟 BP神经网络 遗传算法
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Mold Wear During Die Forging Based on Variance Analysis and Prediction of Die Life 被引量:3
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作者 CAI Ligang LIU Haidong +2 位作者 PAN Junjie CHENG Qiang CHU Hongyan 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第6期872-883,共12页
A process parameter optimization method for mold wear during die forging process is proposed and a mold life prediction method based on polynomial fitting is presented,by combining the variance analysis method in the ... A process parameter optimization method for mold wear during die forging process is proposed and a mold life prediction method based on polynomial fitting is presented,by combining the variance analysis method in the orthogonal test with the finite element simulation test in the forging process.The process parameters with the greatest influence on the mold wear during the die forging process and the optimal solution of the process parameters to minimize the wear depth of the mold are derived.The hot die forging process is taken as an example,and a mold wear correction model for hot forging processes is derived based on the Archard wear model.Finite element simulation analysis of die wear process in hot die forging based on deform software is performed to study the relationship between the wear depth of the mold working surface and the die forging process parameters during hot forging process.The optimized process parameters suitable for hot forging are derived by orthogonal experimental design and analysis of variance.The average wear amount of the mold during the die forging process is derived by calculating the wear depth of a plurality of key nodes on the mold surface.Mold life for the entire production process is predicted based on average mold wear depth and polynomial fitting. 展开更多
关键词 die forging process DEFORM analysis of variance mold wear die life prediction
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