Kaifei Xu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Kaifei Xu has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Haimei Wu
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
1 shared publication - He Yang
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
1 shared publication - Keqing Lu
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
1 shared publication - Tao Sun
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
1 shared publication - Wen Wang
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
1 shared publication - Yewen Zhu
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
1 shared publication
Latest Publications
- Open Access
- 10 December 2021
- Published by MDPI AG in Applied Sciences
- Vol. 11 (24) , 11770
Positioning Errors Measurement of CNC Machine Tools Based on J-DBB Method
Due to the errors of the servo system and the errors of the ball screw drive system, the positioning errors inevitably occur in the process of CNC machine tools. The measurement of traditional equipment is limited by a fixed measurement radius and a single degree of freedom, which can only be measured within a fixed plane. In this paper, four different positioning errors of CNC machine tools are first measured at full scale by using J-DBB (a modified double ball bar with one spherical joint connecting two bars) method. The J-DBB device uses a three-degree-of-freedom spherical joint as a connecting part, which realizes that the measurement radius can be continuously changed, and the measurement space is a spatial sphere. First, the principle of the J-DBB method is briefly introduced. Next, four typical positioning errors of CNC machine tools are analyzed and examined, which contain the uniform contraction error of ball screw and linear grating, periodic error of the ball screw and linear grating, interference of measurement devices error, and opposite clearance error. In the end, the trajectories of the CNC machine tool spindle with a single positioning error are simulated by using the J-DBB method. The results reveal that this method can be used for the positioning error of machine tools, which helps to better understand the spatial distribution of CNC machine tool errors and provides guidance for the reasonable selection of working areas to improve the machining accuracy of parts.
- 10 December 2021
- Published by MDPI AG in Applied Sciences
- Vol. 11 (24) , 11770
Open AccessPositioning Errors Measurement of CNC Machine Tools Based on J-DBB Method
Due to the errors of the servo system and the errors of the ball screw drive system, the positioning errors inevitably occur in the process of CNC machine tools. The measurement of traditional equipment is limited by a fixed measurement radius and a single degree of freedom, which can only be measured within a fixed plane. In this paper, four different positioning errors of CNC machine tools are first measured at full scale by using J-DBB (a modified double ball bar with one spherical joint connecting two bars) method. The J-DBB device uses a three-degree-of-freedom spherical joint as a connecting part, which realizes that the measurement radius can be continuously changed, and the measurement space is a spatial sphere. First, the principle of the J-DBB method is briefly introduced. Next, four typical positioning errors of CNC machine tools are analyzed and examined, which contain the uniform contraction error of ball screw and linear grating, periodic error of the ball screw and linear grating, interference of measurement devices error, and opposite clearance error. In the end, the trajectories of the CNC machine tool spindle with a single positioning error are simulated by using the J-DBB method. The results reveal that this method can be used for the positioning error of machine tools, which helps to better understand the spatial distribution of CNC machine tool errors and provides guidance for the reasonable selection of working areas to improve the machining accuracy of parts.