【作者】 陈传海； 杨兆军； 孟广伟； 田海龙； 李洪洲；

【Author】 CHEN Chuan-hai;YANG Zhao-jun;MENG Guang-wei;TIAN Hai-long;LI Hong-zhou;School of Mechanical Science and Engineering,Jilin University;

【机构】 吉林大学机械科学与工程学院；

【摘要】 提出了考虑多工况、多影响因素的数控机床载荷谱编制方法,以便实现数控机床的可靠性概率设计,从本质上提高数控机床的可靠性。首先,以机床每次切削时的切削长度与进给量的比值作为载荷循环次数,载荷循环次数与所有载荷循环次数总和的比值作为相对循环次数,机床工作载荷与额定载荷的比值作为相对载荷;采用统计分析方法,建立了以载荷相对循环次数为自变量、相对载荷为因变量的载荷分布函数。然后,针对样本载荷数据服从多个分布函数的情况,提出以多种误差信息为评价因素,采用数据包络分析方法评价得出载荷最优分布模型的载荷谱编制方法。应用表明:所述方法可以建立准确的数控机床载荷谱,试验所跟踪数控机床的载荷服从α=0.37,β=0.53的伽玛分布函数。结果表明所建立的载荷谱可以满足数控机床的可靠性概率设计要求。更多还原

【Abstract】 A method to establish the representative load spectrum for probability-reliability design of Numerical Control(NC)machine tools was proposed by considering multiple working conditions and multiple influence factors to improve its reliability essentially.Firstly,the ratio of feeding length to feed speed was set as fatigue loading cycles,the ratio of loading cycles to total loading cycles was set as relative loading cycles,and the ratio of working load to the specified load of machine tools as relative load.Then,the load distribution function of a relative load vs.relative loading cycles was established using statistical analysis.In view of the situation that the load data obeyed different distribution functions,a data envelopment analysis method in which multiple error information was taken as evaluation factors was proposed to determine the best distribution model.The application results show that load spectrum of NC machine tools can be accurately established using this method.The load data of tested NC machine tools follow the gamma distribution withα=0.37andβ=0.53.The load spectrum meets the requirements of probability-reliability design of NC machine tools.更多还原