Dai Yifan, Song Ci, Peng Xiaoqiang, Shi Feng
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China.
Appl Opt. 2010 Jan 20;49(3):298-306. doi: 10.1364/AO.49.000298.
A calibrated and predictive model of the removal function has been established based on the analysis of a magnetorheological finishing (MRF) process. By introducing an efficiency coefficient of the removal function, the model can be used to calibrate the removal function in a MRF figuring process and to accurately predict the removal function of a workpiece to be polished whose material is different from the spot part. Its correctness and feasibility have been validated by simulations. Furthermore, applying this model to the MRF figuring experiments, the efficiency coefficient of the removal function can be identified accurately to make the MRF figuring process deterministic and controllable. Therefore, all the results indicate that the calibrated and predictive model of the removal function can improve the finishing determinacy and increase the model applicability in a MRF process.
