本文以机器人去除高压铜触头表面残留物为背景,采用响应面试验设计方法(RSM)对机器人去毛刺工作参数进行优化。采用BBD(Box-Behnken)方法设计了基于切削用量三要素的实验方案并进行三因素三水平实验,选取压强P,进给速度V,和侧吃刀量作为三个输入因素,切削切向力和棱边表面粗糙度分别作为响应值,经模型方差分析,响应面分析,以及切削切向力优化,获得最优工艺实验参数,并进行了最优工艺参数实验。结果表明,机器人去毛刺最优工作参数为转子压强为0.27Mpa,进给速度为30mm/s,侧吃刀量为0.06mm,在此最优条件下,可使得机器人在去毛刺时的表面粗糙度最小,切削力适中,可以满足优化目标。 关键词:机器人;去毛刺;切削力;响应面法;参数优化 Abstract In this paper, the deburring parameters of the robot were optimized by response surface design method (RSM) based on the background that the robot was used to remove surface residues from high-voltage copper contacts. The Box-Behnken design method was used to design an experimental plan based on three factors of cutting amount and conduct a three-factor and three-level experiment. The pressure P, feed rate V, and side cutting amount were selected as the three input factors, and the cutting tangential force and edge surface roughness were respectively taken as the response values. Through model variance analysis, response surface analysis, and optimization of cutting tangential force, the optimal process experimental parameters were obtained and the optimal process parameter experiments were conducted. The results show that the optimal working parameters for robot deburring are rotor pressure of 0.27Mpa, feed rate of 30mm/s, and side cutting amount of 0.06mm. Under these optimal conditions, the surface roughness of the robot during deburring is minimized and the cutting force is moderate, which can meet the optimization goal. Keywords: robot; deburring; cutting force; response surface method; parameter optimization
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