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汽车消声半壳模具表面摩擦特性的优化设计
英文标题:Optimization design on surface frictional characteristics for automobile muffler half-shell die
作者:蒋嘉兴 符永宏 符昊 杨杰 
单位:江苏大学 
关键词:拉延模具 区域划分 摩擦特性 厚度均匀性 摩擦敏感区域 
分类号:TG316
出版年,卷(期):页码:2022,47(5):188-194
摘要:

以汽车消声半壳模具为研究对象,采用数值模拟方法,在揭示模具表面摩擦特性对成形件厚度均匀性影响规律的基础上,对模具表面摩擦敏感区的摩擦特性进行优化设计。首先,对汽车消声半壳模具表面进行区域划分,利用ABAQUS对拉延成形过程进行数值模拟,采用单因素分析法,探究模具表面不同区域摩擦因数对工件厚度均匀性的影响,确定模具表面的摩擦敏感区域。其次,以板料厚度均匀性为优化目标,采用均匀设计法,对摩擦敏感区的摩擦特性进行了优化设计,最终获得消声半壳模具表面最优摩擦因数组合。优化后的模拟结果显示,成形件最薄处的破裂可能性降低了13.03%,成形件厚度的变化幅度降低了6.68%。为基于摩擦特性优化分布的模具表面激光微织构加工提供了设计依据。

For the automobile muffler half-shell die, on the basis of revealing the influence laws for friction characteristics of die surface on the thickness uniformity of formed parts, the frictional characteristics in the friction sensitive regions on the die surface were designed optimally by numerical simulation method, First, the automobile muffler half-shell die surface was divided into regions, and the drawing process was numerically simulated by software ABAQUS. Then, the influences of friction factors for different regions in the die surface on the thickness uniformity of workpiece were explored by single factor analysis method, and the friction sensitive regions in the die surface were determined. Furthermore, taking the sheet thickness uniformity as the optimization goal, the friction characteristics in the friction sensitive regions were designed optimally by uniform design method, and the optimal friction factor combination for the surface of the automobile muffler half-shell die was obtained. The optimized simulation results show that the fracture possibility at the thinnest part of the formed part decreases by 13.03%, and the variation rate of the formed part thickness drops by 6.68%, which provides design reference for laser microtexture processing of the die surface based on the optimized distribution of friction characteristics.

基金项目:
国家自然科学基金资助项目(51705210、51705211);江苏省博士后科研资助计划(2019K195)
作者简介:
作者简介:蒋嘉兴(1995-),男,硕士,E-mail:1020302332@qq.com;通信作者:符 昊(1988-),男,博士,助理研究员,E-mail:fh@ujs.edu.cn
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