rui xu

Dr. rui xu

Anhui Polytechnic University

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 December 2022 in Tribology International
Verified
Journal Article
Closed access
BWBowen Wu
Bowen Wu
WWWenjing Wang
Wenjing Wang
JPJiabao Pan
Jiabao Pan
YHYan HU
Yan HU
RXrui xu
rui xu
ZRZhang Rongyun
Zhang Rongyun

1 January 2023 in International Journal of Rotating Machinery
Verified
Journal Article
Open access
PDF file
ZWZihui Wang
Zihui Wang
RXrui xu
rui xu
JPJiabao Pan
Jiabao Pan
QCQingqing Chen
Qingqing Chen
JZJing Zhang
Jing Zhang
JWJiugen WANG
Jiugen WANG
The rotary vector (RV) reducer is one of the widely used mechanical components in industrial systems, specifically in robots. The stability of the transmission performance of the RV reducer is crucial for the efficient operation of industrial equipment. The manufacturing and assembly errors of various components of the RV reducer during the production process are important factors that affect the transmission performance. However, in previous research work, the coupling effect of multiple errors on the transmission accuracy of RV reducer has not been fully considered. Furthermore, a vague relationship between system transmission errors and various errors also has not been thoroughly discussed, which presents a challenge to analyze and optimize the errors of components using the simulation technology of virtual prototype. Therefore, we propose a novel approach to use the response surface method (RSM) to investigate the transmission accuracy of RV reducer. Firstly, based on the constructed virtual prototype of RV reducer, the individual effects of different original errors on the overall transmission error are analyzed. Secondly, a response surface approximation model using RSM is constructed to analyze the effect of multiple error interactions on the transmission accuracy of the RV reducer, and the potential functional relationship between multiple error factors and the overall transmission error is also explored. Finally, the authenticity of the proposed approach is verified by setting up some comparative experiments. This study provides a reference for the efficient analysis and optimization of the transmission accuracy of RV reducers.

24 March 2023 in Wear
Verified
Journal Article
Closed access
BWBowen Wu
Bowen Wu
TTTiancheng Tang
Tiancheng Tang
JPJiabao Pan
Jiabao Pan
RZRongyun Zhang
Rongyun Zhang
RXrui xu
rui xu
YCYajuan Chen
Yajuan Chen

18 February 2021 in Journal of Vibration Engineering & Technologies
Verified
Journal Article
Closed access
PDF file
RXrui xu
rui xu
JZJing Zhang
Jing Zhang
JWJiugen Wang
Jiugen Wang
RLRenjun Li
Renjun Li
KHKang Huang
Kang Huang

11 April 2025 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
Closed access
PDF file
QCQingqing Chen
Qingqing Chen
RXrui xu
rui xu
JSJiabao Shen
Jiabao Shen
MXMinghui Xu
Minghui Xu
JPJiabao Pan
Jiabao Pan
JWJiugen Wang
Jiugen Wang

1 January 2024 in AIP Advances
Verified
Journal Article
Open access
PDF file
QCQingqing Chen
Qingqing Chen
RXrui xu
rui xu
ZWZihui Wang
Zihui Wang
JPJiabao Pan
Jiabao Pan
Wei HuangWei Huang
Wei Huang
JWJiugen Wang
Jiugen Wang
In recent years, there has been a growing demand in the field of engineering systems for research on the vibration response of motor-gear systems under non-steady state conditions. However, conventional modeling and simulation techniques are primarily restricted to systems within a single energy domain. When dealing with intricate electromechanical coupling systems, the modeling process becomes increasingly intricate. Consequently, this study adopts bond graph theory as the foundation for analyzing the vibration characteristics of motor-gear coupling systems. In addressing the vibration issue of the motor-gear transmission system, a nonlinear bond graph model is established that takes into account the time-varying mesh stiffness, static errors, and tooth surface friction, among other nonlinear factors. Then, according to the coupling relationship between motor mechanical systems and electrical systems, the electromechanical coupling dynamic model of the motor-gear system is established using the method of bond graph. In addition, the state equation of the system is derived based on the bond graph model. Finally, the system is simulated using 20-sim software, and the electromechanical coupled vibration characteristics of the simulation results are analyzed. This article lays the foundation for the design and analysis of motor-gear coupling systems and multi-energy domain complex systems.