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Katsushi Furutani, Noriyuki Ohguro, Nguyen Trong Hieu, Takashi Nakamura: In-process measurement of topography change of grinding wheel by using hydrodynamic pressure, International Journal of Machine Tools and Manufacture, 42, 13, pp. 1447-1453 (2002).

Number of citation: 24

  1. T, Yoshida, H. Karasawa, R. Fukui et al.: Analysis of chip size distribution using image processing technology to estimate wear state of cylindrical grinding wheel, TRIBOLOGY INTERNATIONAL, 153, 106600, JAN 2021.
  2. C. Heinzel, B. Kirsch, D. Meyer et al.: Interactions of grinding tool and supplied fluid, CIRP ANNALS-MANUFACTURING TECHNOLOGY, 69, ‏2, pp. 624-645, 2020
  3. W. Liu, Z. Deng, Y. Shang et al.: Parametric evaluation and three-dimensional modelling for surface topography of grinding wheel, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 155, pp. 334-342, MAY 2019
  4. L. M. Xu, F. Fan, Z. Zhang et al.: Fast on-machine profile characterization for grinding wheels and error compensation of wheel dressing, PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 55, pp. 417-425, JAN 2019
  5. Fukuhara, Yoshiya; Suzuki, Shuhei; Sasahara, Hiroyuki: Real-time grinding state discrimination strategy by use of monitor-embedded grinding wheels, PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 51, pp. 128-136, JAN 2018
  6. Nakai, Mauricio Eiji; Aguiar, Paulo Roberto; Guillardi, Hildo, Jr.; et al.: Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics, EXPERT SYSTEMS WITH APPLICATIONS, 42, 20, pp. 7026-7035, NOV 15 2015.
  7. Pan, Yongcheng; Zhao, Qingliang; Guo, Bing: On-machine Measurement of the Grinding Wheels' 3D Surface Topography Using a Laser Displacement Sensor, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Advanced Optical Manufacturing Technologies, Harbin, PEOPLES R CHINA, APR 26-29, 2014, Proceedings of SPIE, 9281, 92810E, 2014
  8. Dariusz Lipinski, Wojciech Kacalak, Robert Tomkowski: Methodology of Evaluation of Abrasive Tool Wear with the Use of Laser Scanning Microscopy, SCANNING, 36, 1, SI, pp. 53-63, JAN 2014.
  9. Xuekun Li, Sebastian Wolf, Geng Zhi et al.: The modelling and experimental verification of the grinding wheel topographical properties based on the 'through-the-process' method, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 70, 1-4, pp. 649-659, JAN 2014.
  10. Wojciech Kaplonek, Krzysztof Nadolny: Assessment of the grinding wheel active surface condition using SEM and image analysis techniques, JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 35, 3, pp. 207-215, OCT 2013.
  11. C. H. Li, Z. L. Han, Q. Zhang et al.: Modeling and Experimental Investigation of Pressure Field in the Grinding Zone with Nanoparticle Jet of MQL, ADVANCES IN MECHANICAL ENGINEERING, 169807, 2013.
  12. Changcai Cui, Xipeng Xu, Hui Huang et al.: Extraction of the grains topography from grinding wheels, MEASUREMENT, 46, 1, pp. 484-490, JAN 2013.
  13. Xie J., Wei F., Zheng J. H. et al.: 3D laser investigation on micron-scale grain protrusion topography of truncated diamond grinding wheel for precision grinding performance, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 51, 5, pp. 411-419, DOI: 10.1016/j.ijmachtools.2011.01.010, MAY 2011.
  14. Saleh Tanveer, Rahman Mustafizur: In-Process Truing for ELID (Electrolytic In-Process Dressing) Grinding by Pulsewidth Control, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 8, 2, pp. 338-346, DOI: 10.1109/TASE.2010.2076392, APR 2011.
  15. Roth JT, Djurdjanovic D, Yang XP, et al.: Quality and Inspection of Machining Operations: Tool Condition Monitoring, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 132, 4, 041015, AUG 2010.
  16. Chen TH, Chang WT, Shen PH, et al.: Examining the profile accuracy of grinding wheels used for microdrill fluting by an image-based contour matching method, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 224, B6, pp. 899-911, 2010.
  17. Liao TW: Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 23, 1, pp. 74-84, FEB 2010.
  18. Feng J, Kim BS, Shih A, et al.: Tool wear monitoring for micro-end grinding of ceramic materials,JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 209, 11, pp. 5110-5116, JUN 21 2009.
  19. Subrahmanya N, Shin YC: Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding, JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 130, 3, 031014, JUN 2008
  20. Rahman MS, Saleh T, Lim HS, et al.: Development of an on-machine profile measurement system in ELID grinding for machining aspheric surface with software compensation, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 48, 7-8, pp. 887-895, JUN 2008.
  21. Liao TW, Tang FM, Qu J, et al.: Grinding wheel condition monitoring with boosted minimum distance classifiers, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 22, 1, pp. 217-232, JAN 2008
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  23. Liao TW, Hua GG, Qu J, et al.: Grinding wheel condition monitoring with hidden Markov model-based clustering methods, MACHINING SCIENCE AND TECHNOLOGY 10 (4): 511-538 OCT-DEC 2006
  24. Sun-Kyu Lee, Yuji Miyamoto, Tsunemoto Kuriyagawa and Katsuo Syoji: Effects of minimizing hydrodynamic pressure in ultra-precision mirror grinding, International Journal of Machine Tools and Manufacture, Volume 44, Issue 10, August 2004, Pages 1031-1036 

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by Katsushi Furutani