Abstract
Bearing raceway grinding process has a large influence on the work quality and the rotate accuracy of the bearings. Surface roughness and heat affected layer, which have a strong relationship with grinding process quality, are important factors relevant to the bearing raceway surface quality. Based on the integrated grinding process model proposed previously by the author, which can calculate ground surface roughness, grinding forces, grinding temperature field, and dark layer thickness, from the investigation on the microscopic interaction mechanism between grinding wheel and workpiece surface in the grinding contact zone, the calculation results had been validated through a series of experiments which were conducted on the raceway grinding experimental platform. Based on the simulated and experimental results, both the surface quality and the process efficiency were taken as the optimize objectives, and the determination method on the process parameters was proposed. The optimized process parameters could not only avoid the dark layer occurrence, satisfying the technical requirement on the roughness, but also reached the highest process efficiency. The determination method and the optimized process parameter set could directly be used in the practical machining processes.
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Jiang, J., Ge, P., Sun, S. et al. The theoretical and experimental research on the bearing inner ring raceway grinding process aiming to improve surface quality and process efficiency based on the integrated grinding process model. Int J Adv Manuf Technol 93, 747–765 (2017). https://doi.org/10.1007/s00170-017-0462-3
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DOI: https://doi.org/10.1007/s00170-017-0462-3