A new problem that classical statistical methods are incapable of solving is reliability modeling and assessment when multiple numerical control machine tools(NCMTs) reveal zero failures after a reliability test. Thus...A new problem that classical statistical methods are incapable of solving is reliability modeling and assessment when multiple numerical control machine tools(NCMTs) reveal zero failures after a reliability test. Thus, the zero-failure data form and corresponding Bayesian model are developed to solve the zero-failure problem of NCMTs, for which no previous suitable statistical model has been developed. An expert-judgment process that incorporates prior information is presented to solve the difficulty in obtaining reliable prior distributions of Weibull parameters. The equations for the posterior distribution of the parameter vector and the Markov chain Monte Carlo(MCMC) algorithm are derived to solve the difficulty of calculating high-dimensional integration and to obtain parameter estimators. The proposed method is applied to a real case; a corresponding programming code and trick are developed to implement an MCMC simulation in Win BUGS, and a mean time between failures(MTBF) of 1057.9 h is obtained. Given its ability to combine expert judgment, prior information, and data, the proposed reliability modeling and assessment method under the zero failure of NCMTs is validated.展开更多
五轴机床的旋转刀具中心点(rotational tool center point, RTCP)误差会极大地影响机床加工零件的精度,研究五轴机床的RTCP误差检测及补偿方法,对提升五轴机床的精度具有很重要的意义。为了解决现有的RTCP误差检测及补偿方法在精确性、...五轴机床的旋转刀具中心点(rotational tool center point, RTCP)误差会极大地影响机床加工零件的精度,研究五轴机床的RTCP误差检测及补偿方法,对提升五轴机床的精度具有很重要的意义。为了解决现有的RTCP误差检测及补偿方法在精确性、经济性、测量效率方面的有效平衡问题,提出一种基于自研装置的RTCP检测方法,能快速、简单、高效地补偿五轴联动机床回转中心的位置误差和角度误差。试验结果表明,该方法显著提升机床各方向上的RTCP精度,最高接近90%,具有较强的适用性。展开更多
基金Project(2014ZX04014-011)supported by State Key Science&Technology Program of ChinaProject([2016]414)supported by the 13th Five-year Program of Education Department of Jilin Province,China
文摘A new problem that classical statistical methods are incapable of solving is reliability modeling and assessment when multiple numerical control machine tools(NCMTs) reveal zero failures after a reliability test. Thus, the zero-failure data form and corresponding Bayesian model are developed to solve the zero-failure problem of NCMTs, for which no previous suitable statistical model has been developed. An expert-judgment process that incorporates prior information is presented to solve the difficulty in obtaining reliable prior distributions of Weibull parameters. The equations for the posterior distribution of the parameter vector and the Markov chain Monte Carlo(MCMC) algorithm are derived to solve the difficulty of calculating high-dimensional integration and to obtain parameter estimators. The proposed method is applied to a real case; a corresponding programming code and trick are developed to implement an MCMC simulation in Win BUGS, and a mean time between failures(MTBF) of 1057.9 h is obtained. Given its ability to combine expert judgment, prior information, and data, the proposed reliability modeling and assessment method under the zero failure of NCMTs is validated.
文摘五轴机床的旋转刀具中心点(rotational tool center point, RTCP)误差会极大地影响机床加工零件的精度,研究五轴机床的RTCP误差检测及补偿方法,对提升五轴机床的精度具有很重要的意义。为了解决现有的RTCP误差检测及补偿方法在精确性、经济性、测量效率方面的有效平衡问题,提出一种基于自研装置的RTCP检测方法,能快速、简单、高效地补偿五轴联动机床回转中心的位置误差和角度误差。试验结果表明,该方法显著提升机床各方向上的RTCP精度,最高接近90%,具有较强的适用性。
