Abstract
Taking the specific geometry and gesture of the diamond grains into consideration, a novel simulation model to predict the machined surface topography in grinding of superalloy (GH4169) is presented, where the arrangements of abrasive grains and the plowing induced pile-up ridges are also integrated. Based on the designed surface topography of the grains arrayed brazed diamond wheels, the grinding wheel was firstly reconstructed according to the following factors of the abrasive grains, including the shape, dimension, protrusion height, attitude, and position. In accordance with the kinematics of the grains, the pile-up ridges corresponding to the real-time depth of cut were then achieved, and the superposition resulting from the interference of successive abrasive particles was thoroughly discussed to simulate the final ground topography accurately. Finally, the grinding experiments at the selected parameters were undertaken to verify the proposed model, where the measured and simulated surface topography and the surface statistics (Sa, Sq) were investigated and compared. The favorable accordance between the simulated and experimental results indicated the accuracy and the practicability of the proposed model for optimizing the grain arrangement in the diamond wheel design and improving the grinding surface uniformity.
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Funding
This work was supported by the National Natural Science Foundation of China (NSFC) (Project No.:51805257), the Foundation of Graduate Innovation Center in NUAA (Project No.: KFJJ20200518), and the National Natural Science Foundation of China for Creative Research Groups (Project No. 51921003).
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Wentao Wang: experimentation, data curation, and writing the original draft. Quanli Zhang: supervision, conceptualization, methodology, resources, and funding acquisition. Chenglong Chu and Zhen Zhang: experimentation and methodology.
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Wang, W., Zhang, Q., Chu, . et al. Simulation and experimental study of the ground surface topography of GH4169 by grains arrayed brazed diamond wheels. Int J Adv Manuf Technol 118, 303–317 (2022). https://doi.org/10.1007/s00170-021-07963-x
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DOI: https://doi.org/10.1007/s00170-021-07963-x