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Featured researches published by Ri Pan.


Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics | 2018

Vibration analysis of air-bearing work-stage under micro-scale effect:

Dongju Chen; Lihua Dong; Ri Pan; Jinwei Fan; Chenhui An

Vibration is one of the key factors that influences the ultra-precision machining. Taking the air-bearing work-stage for an example, the vertical vibration of the slide plate will directly affect the surface accuracy of machined parts. There are many factors that affect the vibration of precision machine tools, for example, the fluctuation of gas source, noise, environment, and so on. It will affect the machining accuracy and machining efficiency and cannot work in severe cases. Where the lubrication of the gas film in the air-bearing work-stage is in the micro scale category, its flow characteristics are different from the macroscopic gas flow, and it will also affect the stability of the sliding plate. This paper analyzed the vertical vibration characteristics of the air-bearing work-stage by considering the characteristics of gas film in micro scale when the velocity of the slide plate is 0. Based on the Reynolds equation and the characteristics of gas flow, the stiffness (K) and the damping (C) of the gas film are obtained by considering different micro factors. The gas film is assumed as the spring system. Then the stiffness and damping of the gas film are taken into the vibration equation of the slide plate. Through solving the vibration equations, the influence of the micro factor of the fluid on the vibration of the slide plate is researched. The results show that when considering the micro factors of the lubrication gas film, the vibration amplitude of slide plate and the frequency at the maximum amplitude are different from the one in macroscopic without considering any micro factors. At the same thickness of the gas film, the influence of the micro factors on the amplitude of slide plate is largest when three micro scale factors (the first order velocity slip, the flow factor Q and the effective viscosity) are considered. With the increase of the film thickness, the micro scale factors have the little effect on the frequency at the maximum amplitude. By analyzing the dimensionless parameters of the experimental signals and the different simulation signals, we found that when the micro-scale factors are considered at the same time, the vibration amplitude of the slide plate and the frequency at the maximum amplitude are closest to the experimental result. It is proved that combined with the micro scale factor, the analysis of dynamic characteristics of air-bearing work-stage is more accurate.


Advances in Mechanical Engineering | 2018

A prediction model of the surface topography due to the unbalance of the spindle system in ultra-precision fly-cutting machining

Dongju Chen; Xianxian Cui; Ri Pan; Jinwei Fan; Chenhui An

In ultra-precision fly-cutting machining, the aerostatic spindle is the key component, which has significant influence on the machined surface quality. The unbalanced spindle directly affects the machining accuracy. In this article, a prediction model of machining surface topography is proposed which involves the effect of the gas film performance of spindle in microscale. With the Weierstrass function, unstable transient response of the aerostatic spindle system is derived by the motion model of the spindle, which response signal represents the surface profile in the ultra-precision machining. Meanwhile, the experiment is performed with different rotation speed of the spindle. And the effect of the unbalanced aerostatic spindle on the surface generation is discussed in time and frequency domain. The conclusion shows that the similar cyclical surface ripple of the workpiece is independent of the spindle speed, and the rotation speed of the spindle and unbalanced spindle directly affects the machining surface topography. This study is quite meaningful for deeply understanding the influence rule of spindle unbalanced error from the viewpoint of machined surface and vibration frequency.


The International Journal of Advanced Manufacturing Technology | 2018

Prediction and compensation of geometric error for translational axes in multi-axis machine tools

Changjun Wu; Jinwei Fan; Qiaohua Wang; Ri Pan; Yuhang Tang; Zhongsheng Li


The International Journal of Advanced Manufacturing Technology | 2018

Kinematic errors prediction for multi-axis machine tools’ guideways based on tolerance

Jinwei Fan; Haohao Tao; Changjun Wu; Ri Pan; Yuhang Tang; Zhongsheng Li


International Journal of Machine Tools & Manufacture | 2018

Modification of tool influence function of bonnet polishing based on interfacial friction coefficient

Ri Pan; Bo Zhong; Dongju Chen; Zhenzhong Wang; Jinwei Fan; Chunyan Zhang; Sinan Wei


The International Journal of Advanced Manufacturing Technology | 2018

Impact of pad conditioning on the bonnet polishing process

Bo Zhong; Hongzhong Huang; Xianhua Chen; Jian Wang; Ri Pan; Zhongjiang Wen


The International Journal of Advanced Manufacturing Technology | 2018

Influencing mechanism of the key parameters during bonnet polishing process

Ri Pan; Bo Zhong; Zhenzhong Wang; Shuting Ji; Dongju Chen; Jinwei Fan


Mechanical Systems and Signal Processing | 2018

Investigation the gas film in micro scale induced error on the performance of the aerostatic spindle in ultra-precision machining

Dongju Chen; Chen Huo; Xianxian Cui; Ri Pan; Jinwei Fan; Chenhui An


Industrial Lubrication and Tribology | 2018

Coupling effects of the impact factors in micro-scale on the performance of aerostatic guideway

Dongju Chen; Lihua Dong; Ri Pan; Jinwei Fan; Qiang Cheng


The International Journal of Advanced Manufacturing Technology | 2017

Investigation on removal features of fixed abrasive diamond pellets based on elasticity tool

Quanjin Wang; Zhenzhong Wang; Shiping Chen; Hui Yu; Ri Pan; Y. Peng

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Jinwei Fan

Beijing University of Technology

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Dongju Chen

Beijing University of Technology

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Bo Zhong

University of Electronic Science and Technology of China

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Changjun Wu

Beijing University of Technology

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Lihua Dong

Beijing University of Technology

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Qiang Cheng

Beijing University of Technology

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Xianxian Cui

Beijing University of Technology

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Yuhang Tang

Beijing University of Technology

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Zhongsheng Li

Beijing University of Technology

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