Multi-information fusion recognition model and experimental study of grinding wheel wear status-Reference-Cited by-同舟云学术

Multi-information fusion recognition model and experimental study of grinding wheel wear status

Published:2022-06-22 Issue:5-6 Volume:121 Page:3477-3498
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Yin Guoqiang,Guan Yunyun,Wang Jiahui,Zhou Yunguang,Chen Ye

Funder

Fundamental Research Funds for the Central Universities

the National Natural Science Foundation of China

the Basic Research Project of Education Department of Liaoning Province

Project funded by China Postdoctoral Science Foundation

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/s00170-022-09499-0.pdf

Reference19 articles.

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2. Gong YD, Zhou YG, Wen XL, Cheng L, Sun Y, Ma LJ (2017) Experimental study on micro-grinding force and subsurface microstructure of nickel-based single crystal superalloy in micro grinding. J Mech Sci Technol 31(7):3397–3410

3. Prinz S, Trauth D, Mattfeld P, Klocke F (2018) Influence of different grinding wheel and dressing roller specifications on grinding wheel wear. Prod Eng 12:441–448

4. Mathew NT, Vijayaraghavan L (2020) Wear of silicon carbide wheel during grinding of intermetallic titanium aluminide. Int J Mach Mach Mater 22(2):122–136

5. Pandiyan V, Caesarendra W, Tjahjowidodo T, Hock TH (2018) In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm. J Manuf Process 31:199–213

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