机床设计过程中整机性能仿真分析,要求缩短时间,同时保证一定精度,针对这一需求提出了一种整机模型简化方法。该方法以整机为研究对象,通过分析机床部件是否处于机床整机闭合力学系统等准则,确定了不同部件的简化必要性和策略,形成了一...机床设计过程中整机性能仿真分析,要求缩短时间,同时保证一定精度,针对这一需求提出了一种整机模型简化方法。该方法以整机为研究对象,通过分析机床部件是否处于机床整机闭合力学系统等准则,确定了不同部件的简化必要性和策略,形成了一套完整高效的整机性能分析简化方法。以某轧辊磨床为例,对简化流程的各步骤进行了仿真,提出了"简化有效性指数"(index of simplification effect,ISE)对上述不同阶段的简化有效性进行评价。最终该机床单次仿真时间缩短95.6%,静态与动态特性仿真结果与实验对比误差均小于5.5%。最后基于目前机床企业常用的Pro/E软件所提供的VBAPI二次开发工具,开发了机床整机性能分析模型简化工具,实现了自动化辅助简化,节约了设计人员进行模型简化的时间,对缩短机床设计周期具有一定实用意义。展开更多
Reduced Q-matrix （Qr matrix） plays an important role in the rule space model （RSM） and the attribute hierarchy method （AHM）. Based on the attribute hierarchy, a valid/invalid item is defined. The judgment method...Reduced Q-matrix （Qr matrix） plays an important role in the rule space model （RSM） and the attribute hierarchy method （AHM）. Based on the attribute hierarchy, a valid/invalid item is defined. The judgment method of the valid/invalid item is developed on the relation between reachability matrix and valid items. And valid items are explained from the perspective of graph theory. An incremental augment algorithm for constructing Qr matrix is proposed based on the idea of incremental forward regression, and its validity is theoretically considered. Results of empirical tests are given in order to compare the performance of the incremental augment algo-rithm and the Tatsuoka algorithm upon the running time. Empirical evidence shows that the algorithm outper-forms the Tatsuoka algorithm, and the analysis of the two algorithms also show linear growth with respect to the number of valid items. Mathematical models with 10 attributes are built for the two algorithms by the linear regression analysis.展开更多
文摘机床设计过程中整机性能仿真分析,要求缩短时间,同时保证一定精度,针对这一需求提出了一种整机模型简化方法。该方法以整机为研究对象,通过分析机床部件是否处于机床整机闭合力学系统等准则,确定了不同部件的简化必要性和策略,形成了一套完整高效的整机性能分析简化方法。以某轧辊磨床为例,对简化流程的各步骤进行了仿真,提出了"简化有效性指数"(index of simplification effect,ISE)对上述不同阶段的简化有效性进行评价。最终该机床单次仿真时间缩短95.6%,静态与动态特性仿真结果与实验对比误差均小于5.5%。最后基于目前机床企业常用的Pro/E软件所提供的VBAPI二次开发工具,开发了机床整机性能分析模型简化工具,实现了自动化辅助简化,节约了设计人员进行模型简化的时间,对缩短机床设计周期具有一定实用意义。
基金Supported by the National Natural Science Foundation of China (30860084,60673014,60263005)the Backbone Young Teachers Foundation of Fujian Normal University(2008100244)the Department of Education Foundation of Fujian Province (ZA09047)~~
文摘Reduced Q-matrix （Qr matrix） plays an important role in the rule space model （RSM） and the attribute hierarchy method （AHM）. Based on the attribute hierarchy, a valid/invalid item is defined. The judgment method of the valid/invalid item is developed on the relation between reachability matrix and valid items. And valid items are explained from the perspective of graph theory. An incremental augment algorithm for constructing Qr matrix is proposed based on the idea of incremental forward regression, and its validity is theoretically considered. Results of empirical tests are given in order to compare the performance of the incremental augment algo-rithm and the Tatsuoka algorithm upon the running time. Empirical evidence shows that the algorithm outper-forms the Tatsuoka algorithm, and the analysis of the two algorithms also show linear growth with respect to the number of valid items. Mathematical models with 10 attributes are built for the two algorithms by the linear regression analysis.
