首页|Intelligent Choice of Characteristic Parameters of Oilstone in Honing of Titanium alloy Cylinder Based on Artificial Neural Network
Intelligent Choice of Characteristic Parameters of Oilstone in Honing of Titanium alloy Cylinder Based on Artificial Neural Network
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NETL
NSTL
Trans Tech Publications Ltd
Titanium alloys have good mechanical properties and organizational stability. However, due to the larger viscousity of titanium, a reasonable choice of the characteristic parameters of oilstone will directly affect the quality and efficiency of honing processing. This article solved multi-objective problem using artificial neural network with fast convergence and high precision. Based on a comprehensive analysis of the relationship between the workpiece material, materials status, surface hardness, the required surface quality and various parameters of oilstone, the improved artificial neural network algorithm-GCAQBP was adopted, through coding optimization of input and output parameters, model of intelligent choice of oilstone's parameters was constructed about titanium alloy cylinder honing processing. Through experimental studies, it is shown that the intelligent model can choose quickly with high reliability compared with the traditional experience.
honing of titanium alloy cylinderartificial neural networkintelligent choice of characteristic parameters of oilstone
Y.F. Wen、Y.N. Rui、J.D. Cao
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Suzhou University, suzhou, jiangsu, 215002,china Suzhou Institute of Industrial Technology,suzhou,jiangsu, 215104,china
Suzhou University, suzhou, jiangsu, 215002,china
Suzhou Institute of Industrial Technology,suzhou,jiangsu, 215104,china
NETL
NSTL
Trans Tech Publications Ltd
