In the course of multistage forging for producing gear blank, the preforging design of gear blank directly affects metal flowing patterns of the finish forging, the situation of the forging die cavity, the quality of the products and die life. The network model between the size parameters of preforging and maximum forming force and maximum die stress of finish forging was established. Using the SGPLVM algorithm to reduce input variables to latent variables corresponding to the low dimensional space, through the relationship between the latent variables and output variables, the most superior shape and size parameters of preforging were determined by using GA algorithm. The results show that the preform is the optimal when both the maximum finisher forming force and the maximum finisher die stress are minimum.
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徐承亮,曹志勇,王大军,胡吉全.基于SGPLVM的齿轮坯预锻件多目标优化设计[J].机床与液压,2016,44(9):81-84. . Multipletarget Optimization Design of Preforging for Gear Blank Based on SGPLVM[J]. Machine Tool & Hydraulics,2016,44(9):81-84