轮毂轴承法兰热锻工艺优化方法研究

Study on optimization method of hot forging process of wheel hub bearing flange

基于再结晶物理机理,结合Yada模型,建立了一微观组织演化模型,并嵌入DEFORM软件中。选用锻模在镦粗过程中的压下量及其初始温度为工艺变量,以锻件晶粒分布均匀度和锻件晶粒细小化程度作为优化目标,以锻压后材料损伤分布的体积分数为约束函数,对轮毂轴承法兰热锻成形工艺进行优化。最后,根据优化前后的轮毂轴承法兰热锻成形工艺参数进行了现场试制,以验证所提出的热锻成形工艺优化方法的有效性。结果表明,优化后的工艺参数能够使工件的晶粒度细化且分布更加均匀。

Based on the physical mechanism of recrystallization and combined with the Yada model,it establishes a new microstructure evolution model,and implants the model into Deform software. In order to optimize the hot forging forming process of wheel hub bearing flange,it selects the forging die upsetting reduction and the initial temperature as process optimization variables,determines the uniformity of grain distribution and the degree of finer grain of forgings as optimization object and the volume fraction of the material damage distribution as the constraint function. It carries the wheel hub bearing flange hot forging test experiment based on the prior and optimizes hot forging forming process parameters,verifies that the optimization method is reliable. The results show that the optimized process parameters can make the grain size of the forging finer and more uniform distribution.