Surface roughness prediction in robotic belt grinding based on the undeformed chip thickness model and GRNN method-Reference-Cited by-同舟云学术

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Surface roughness prediction in robotic belt grinding based on the undeformed chip thickness model and GRNN method

Published:2022-04-07 Issue:9-10 Volume:120 Page:6287-6299
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Tao Zhijian,Li Shan,Zhang Lu,Qi Junde,Zhang Dinghua

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Provincial Department of Education

Key Laboratory of Road Construction Technology and Equipment

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-022-09162-8.pdf

Reference25 articles.

1. Qi J, Zhang D, Li S, Chen B (2018) Modeling and prediction of surface roughness in belt polishing based on artificial neural network. Proc Inst Mech Eng B J Eng Manuf 232(12):2154–2163

2. Tsai MY, Wang SM, Tsai CC, Yeh TS (2015) Investigation of increased removal rate during polishing of single-crystal silicon carbide. Int J Adv Manuf Technol 80(9–12):1511–1520

3. Oh JH, Lee S (2011) Prediction of surface roughness in magnetic abrasive finishing using acoustic emission and force sensor data fusion. Proc Inst Mech Eng B J Eng Manuf 225(6):853–865

4. Zhang Y, Li C, Ji H, Yang X, Yang M, Jia D, Zhang X, Li R, Wang J (2017) Analysis of grinding mechanics and improved predictive force model based on material-removal and plastic-stacking mechanisms. Int J Mach Tools Manuf 122:81–97

5. Cui X, Li C, Ding W, Chen Y, Mao C, Xu X, Liu B, Wang D, Li H, Zhang Y, Said Z, Debnath S, Jamil M, Ali HM, Sharma S (2021) Minimum quantity lubrication machining of aeronautical materials using carbon group nanolubricant: From mechanisms to application. Chin J Aeronaut. https://doi.org/10.1016/j.cja.2021.08.011

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1. Comprehensive analysis of the effects of different parameters on the grinding performance for surfaces;The International Journal of Advanced Manufacturing Technology;2024-01-20

2. Introducing abrasive wear into undeformed chip thickness modeling with improved grain kinematics in belt grinding;Journal of Manufacturing Processes;2023-12

3. A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades;Measurement;2023-10

4. Online Process Monitoring Based on Proprioceptive Signals for Robotic Grinding;IEEE Transactions on Instrumentation and Measurement;2023

5. Numerical and experimental investigation on temperature field during belt grinding considering elastic contact;Case Studies in Thermal Engineering;2022-12

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