Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach
Joint Authors
Sun, Qun
Wang, Chong
Zhao, Ying
Zhao, Ling
Guo, Hongqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents an in-depth study of the helical grinding brush force characteristics aiming at developing a mobile robot system to perform rust removal and other surface processing tasks.
Based on an off-line Finite Element model that can calculate brush filament deformation and force behaviors, a mathematical regression model has been developed to summarize brush force changes subjected to varying conditions into a series of mathematical equations.
The predictions of the mathematical model are well converged with the Finite Element modeled results and the R-squared value is up to 0.95.
The paper presents the model form and calibrated coefficients, which may provide an advantageous tool to predict the grinding brush force changes in real time and contribute well to an automatic grinding control application.
American Psychological Association (APA)
Wang, Chong& Guo, Hongqiang& Zhao, Ying& Sun, Qun& Zhao, Ling. 2018. Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208830
Modern Language Association (MLA)
Wang, Chong…[et al.]. Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208830
American Medical Association (AMA)
Wang, Chong& Guo, Hongqiang& Zhao, Ying& Sun, Qun& Zhao, Ling. Statistical Analysis of Industrial Grinding Brush Force Characteristics Based on Finite Element Approach. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208830
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208830