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A Study on Prediction of Grinding Surface Roughness

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Advances in Engineering Research and Application (ICERA 2020)

Abstract

This paper presents a study on the prediction of surface roughness in surface grinding. Based on the results of several previous studies, the relation between the abrasive grain tip radius and the standard systems of grinding wheels and the surface roughness were predicted. Also, the surface roughness when surface grinding SKD11, SUJ2, and 3X13 steel by Al2O3 and CBN grinding wheels was anticipated. The predicted surface roughness values were found to be close to the experimental values. In addition, the average deviation between the predictive results and the experimental results was 15.11% for the use of Al2O3 grinding wheels and 24.29% for the case of using CBN grinding wheels.

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Acknowledgements

This work was supported by Thai Nguyen University of Technology.

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Correspondence to Le Xuan Hung .

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Trung, D.D. et al. (2021). A Study on Prediction of Grinding Surface Roughness. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_13

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