Research on Perpendicularity of Axial End Face Parts Based on New Generation GPS
Shi‐Qiang Wang, Lei Yang, Zhiyong Zhang, Guilu Wang, Yabin Zhao
Abstract
Shi‐Qiang Wang, Lei Yang, Zhiyong Zhang, Guilu Wang, Yabin Zhao
Abstract
The implement of the new generation geometrical product specificalions (GPS) which is based on metrology has greatly facilitated the study on the evaluation of geometric error,the paper focus on the method of error evaluation in perpendicularity of shaft parts.It presents the construction of operator formation for error evaluation in perpendicularity and the mathematical models of shaft parts which are based on the least squares method and the minimum zone method.The software in assessment of error evaluation in perpendicularity of shaft parts is designed by VB program. the perpendicularity is 304.133um and 288.846um respectively according to the experimental analysis.. It is concluded that the error of perpendicularity can be obtained by mathematical models which are based on the minimum zone and the least square method.Besides ,the error obtained by the minimum zone method is smaller than that is obtained by the least squares method.
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The implement of the new generation geometrical product specificalions (GPS) which is based on metrology has greatly facilitated the study on the evaluation of geometric error,the paper focus on the method of error evaluation in perpendicularity of shaft parts.It presents the construction of operator formation for error evaluation in perpendicularity and the mathematical models of shaft parts which are based on the least squares method and the minimum zone method.The software in assessment of error evaluation in perpendicularity of shaft parts is designed by VB program. the perpendicularity is 304.133um and 288.846um respectively according to the experimental analysis.. It is concluded that the error of perpendicularity can be obtained by mathematical models which are based on the minimum zone and the least square method.Besides ,the error obtained by the minimum zone method is smaller than that is obtained by the least squares method.
Key concepts: Focus (optics), Global Positioning System, Computer science, Face (sociological concept), Mean squared error, Least-squares function approximation, Metrology, Algorithm