CAJ | 학술논문

考虑生产实际的需求,综合最小变形误差、最大金属切除率和最大刀具耐用度建立端铣工艺参数多目标优化模型。通过对粒子群全局寻优能力和灰色理论的适应性综合分析,研究提出耦合粒子群算法（Particle Swarm Op-timization,PSO）和灰色关联（Gray Relevancy Analysis,GRA）的多目标工艺参数优化算法。该方法将多目标函数的优化问题转化为优化单项灰关联度,得到了多项工艺指标要求下的参数优化组合。将该方法应用在多目标工艺参数优化设计中取得了满意的结果,表明其具有很大的适应性。
고필생산실제적수구,종합최소변형오차、최대금속절제솔화최대도구내용도건립단선공예삼수다목표우화모형。통과대입자군전국심우능력화회색이론적괄응성종합분석,연구제출우합입자군산법（Particle Swarm Op-timization,PSO）화회색관련（Gray Relevancy Analysis,GRA）적다목표공예삼수우화산법。해방법장다목표함수적우화문제전화위우화단항회관련도,득도료다항공예지표요구하적삼수우화조합。장해방법응용재다목표공예삼수우화설계중취득료만의적결과,표명기구유흔대적괄응성。
According to the demand of manufacturing practice,a multi-objective optimization model of face milling process parameters is established by integrating minimum distortion error,maximum material removal rate and maximum tool durability.Based on the adaptability analysis for particle swarm algorithm and gray relevancy analysis,an effective multi-objective optimization algorithm is proposed by coupling Particle Swarm Optimization（PSO）algorithm and Gray Relevancy Analysis（GRA）.This method makes the multi-objective optimization problem transformed into the optimization problem of single targeted gray relational degree,thus obtaining the optimized combination of parameters under the requirements of multiple technological indexes.The research indicates that the application of this method has got satisfactory results in the optimization design of multi-objective process parameters with prodigious adaptability.