TY - GEN
T1 - Simulation of precision grinding process for predicting surface roughness
AU - Nguyen, T. A.
AU - Butler, David
PY - 2004/9/23
Y1 - 2004/9/23
N2 - A numerical approach is proposed for the simulation of a precision grinding process. The approach takes into consideration the non-Gaussian distribution of grain protrusion heights by simulating the grinding wheel topography as a random field. Furthermore, an algorithm is proposed to identify the active grains on the simulated grinding wheel topography. The cutting, ploughing or rubbing of the grains is determined by estimating the attack angle of the active grains. Then, the workpiece topography is generated by mapping the active grain topography into the workpiece surface, using the kinematics relationship between the grinding wheel and the workpiece. The workpiece surface roughness, predicted by the simulation is compared with the experimental result to justify the proposed approach.
AB - A numerical approach is proposed for the simulation of a precision grinding process. The approach takes into consideration the non-Gaussian distribution of grain protrusion heights by simulating the grinding wheel topography as a random field. Furthermore, an algorithm is proposed to identify the active grains on the simulated grinding wheel topography. The cutting, ploughing or rubbing of the grains is determined by estimating the attack angle of the active grains. Then, the workpiece topography is generated by mapping the active grain topography into the workpiece surface, using the kinematics relationship between the grinding wheel and the workpiece. The workpiece surface roughness, predicted by the simulation is compared with the experimental result to justify the proposed approach.
UR - https://pureportal.strath.ac.uk/en/publications/450d760e-98b8-4b91-96da-98a754bb57d5
U2 - 10.1007/978-1-4471-0647-0
DO - 10.1007/978-1-4471-0647-0
M3 - Conference contribution
SN - 9781447106470
BT - Proceedings of the 34th International MATADOR Conference
ER -