Abstract: Aimed at minimizing the sink marks on the automobile bumpers, the main involved processing parameters were determined using analysis of variance method based on an orthogonal experiment and CAE analysis. A predictive response surface model was formulated for the relationship between the index of sink marks and the important processing parameters using RSM. Based on the response surface model, the processing parameters were optimized for the minimization of sink marks through genetic algorithm. The results of simulation experiment confirmed the feasibility of the technology.

Key words: automobile bumper, response surface methodology, genetic algorithm, processing parameter optimization, sink mark