China University of Geosciences, Wuhan 430074, Hubei, China
In recent years, mechanical engineers have improved the machining accuracy and machining efficiency by different techniques. This paper studied the rough diamond machining process based on neural network. By using the RBF neural network algorithm, in the process of machining, automatic selection of the appropriate machining parameters without human intervention effectively has improved the machining precision and speed which has demonstrable effect.
Neural network, Rough diamond machining, Processing technology, RBF neural network
Ke Xu. Rough Diamond Machining Process Based on Neural Network. Academic Journal of Architecture and Geotechnical Engineering (2022) Vol. 4, Issue 1: 1-6. https://doi.org/10.25236/AJAGE.2022.040101.
 Mali H S, Manna A. Current status and application of abrasive flow finishing processes: a review[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2009, 223(7): 809-820.
 Kanthababu M, Shunmugam M S, Singaperumal M. Multi-sensors-based condition monitoring for honing of cylinder liners[J]. International Journal of Manufacturing Research, 2012, 7(4): 376-396.
 Kanthababu M, Shunmugam M S, Singaperumal M. Tool condition monitoring in honing process using acoustic emission signals[J]. International Journal of Automation and Control, 2008, 2(1): 99-112.
 Jain N K, Ramlal Naik L, Dubey A K, et al. State-of-art-review of electrochemical honing of internal cylinders and gears[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2009, 223(6): 665-681.
 Griffin J M, Diaz F, Geerling E, et al. Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals[J]. Mechanical Systems and Signal Processing, 2017, 85: 1020-1034.
 Kanakarajan P, Sundaram S, Kumaravel A, et al. Acoustic emission testing of the machining performance of SiC grinding wheel shaped Al2O3 ceramics[J]. Materials Testing, 2016, 58(10): 908-912.
 Lawrence K D, Ramamoorthy B. Multi-surface topography targeted plateau honing for the processing of cylinder liner surfaces of automotive engines[J]. Applied Surface Science, 2016, 365: 19-30.
 Gao, Y. X. Research on the Application of Five-axis Machining Technology in Complex Surface Machining, China Equipment Engineering. 2021, (24)79-80.
 Wang, H. H., Xu, Y. J., Qin, H., Fang, Z. S., BP Decoding Algorithm Aided by Residual Perturbation Network, Telecommunications technology, 2021, 8.
 Guo, R. B. Research on the Technology and Application of Diamond Grinding Wheel Micro-abrasive Smoothing and Sharpening, South China University of Technology, 2019, 102.