基于模拟退火遗传算法激光冲击板材最大变形量优化研究

摘要

The impact factors of maximum deforming of laser striking sheet is concluded.Based on simulated annealing genetic algorithm the problems for analyzing the impact factors of maximum sheet deformation are expressed with one kind of combinatorial optimum,thus a diagnosis data base for impact factors of the max deformation of the sheet is built. Meanwhile controlling parameter for the factors of maximum deforming of sheet is set.Moreover ,by adopting simulated annealing fitness stretching methods, op timed method for improving effectively the diagnosis precision of impact factors of sheet max deformation is dis-cussedAnd finally discussion and analysis for experimental optimum solution is provided,I.e.the convergence speed of simulated annealing genetic algorithm in this experiment program is increased by an average of 13.2% compared with simple genetic algorithm, identification accuracy is 7.44% by an average.The test shows that the temperature lower adjustment coefficient alpha must close to 0.985 to the greatest extent in order to obtain the ideal solution.Based on the objective function of the laser shock sheet deformation eight kinds of factors that have biggest in actual production method,it can be effectively used to improve the machining efficiency of the optimum parameters.%总结了激光冲击板材成形最大变形量的影响因素,基于模拟退火遗传算法技术,将板材最大变形量的影响因素分析问题表达为一类组合优化问题,建立了板材最大变形量的影响因素诊断知识库,设定了最大变形量的影响因素诊断控制参数,并采用模拟退火的适应度拉伸方法,探讨了有效地提高板材最大变形量的影响因素诊断准确率的优化方法.最后给出了试验最优解讨论分析.模拟退火遗传算法在本实验程序中收敛速度比简单遗传算法平均提高13.2％,识别准确性平均提高7.44％.试验表明:温度下级调节系数α必须尽量靠近0.985才能得到较理想解.基于八种影响因素产生的目标函数激光冲击板材最大变形量方法,可以在实际生产中有效利用此最佳工艺参数提高加工效率.