Real-time surface roughness estimation and automatic regrinding of ground workpieces using a data-driven model and grinding force inputs
Author:
Funder
National Taiwan University
National Science and Technology Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13434-w.pdf
Reference42 articles.
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2. Huang CY et al (2020) Development of an intelligent grinding system for fabricating aspheric glass lenses. Int J Adv Manuf Technol 111(5–6):1351–1359. https://doi.org/10.1007/s00170-020-06212-x
3. Huang CA, Shen CH, Yang SW, Liao CW, Lai PL (2020) Fabrication and evaluation of electroplated diamond grinding rods strengthened with Cr-C deposit. Int J Adv Manuf Technol 110(9–10):2541–2550. https://doi.org/10.1007/s00170-020-05989-1
4. Zhou X, Xi F (2002) Modeling and predicting surface roughness of the grinding process. Int J Mach Tools Manuf 42(8):969–977
5. Chen J, Fang Q, Li P (2015) Effect of grinding wheel spindle vibration on surface roughness and subsurface damage in brittle material grinding. Int J Mach Tools Manuf 91:12–23
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