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56 (2010), p. 447-454 [5] H. Baseri: Workpiece Surface Roughness Prediction in Grinding Process for Different Disc Dressing Conditions, International Conference on Mechanical and Electrical Technology (2010), p. 209-212 [6] M. Sedlaček, B. Podgornik, J. Vižintin: Influence of surface preparation on roughness parameters, friction and wear, Wear, Vol. 266 (2009), p. 482-487 [7] M. Hasegawa, M. Saito, M. Mitsuhashi, S. Kawamura: Statistically designed model of ground surface roughness, Proceeding of the 4th International conference on Production Engineering, Tokyo (1980), p.

Abstract. The purpose of this research is to develop the models to predict the average surface roughness and the surface roughness during the in-process grinding by monitoring the cutting force ratio. The proposed models are developed based on the experimentally obtained results by employing the exponential function with four factors, which are the spindle speed, the feed rate, the depth of cut, and the cutting force ratio. The experimentally obtained results showed that the dimensionless cutting force ratio is usable to predict the surface roughness during the grinding process, which can be calculated and obtained by taking the ratio of the corresponding time records of the cutting force Fy in the spindle speed direction to that of the cutting force Fz in the radial wheel direction.

9] A. A. Tseng, J. K. C. P. Chen, “Scratch properties of nickel thin films using atomic force microscopy”, J. Vac. Sci. Technol. B. 28 (2010) 202-210. C. L. Li, Jyh-Wei Lee, “The study of nanoscratch and nanomachining on hard multilayer thin films using atomic force microscope”, Scanning. 34 (2012) 51-59. C. Chen, “High voltage nano-oxidation in deionized water and atmospheric environments by Atomic Force Microscopy”, Scanning. 34 (2012) 230-236. Applied Mechanics and Materials Vol. 627 39 [12] J.

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Applied Mechanics and Materials Advanced Development in Industrial

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