Research on Process Parameters of Toroidal Cutter in High-speed Milling of Die Steel S50C

doi:10.3969/j.issn.1000-1093.2014.07.024

Abstract

Abstract: In order to explore the effect of process parameters on surface roughness in high-speed milling, the multifactorial orthogonal experiments of die steel S50C are conducted, and the surface roughness is measured under different parameters such as spindle speed, feed rate, axial depth, radial width and pose angle. The artificial neural network and genetic algorithm are used to establish a prediction model of surface roughness and an optimization model of process parameters. In addition, the validity of two models is verified. Results show that the approach may be used for the prediction of surface roughness and optimization of the process parameters before machining. Moreover, this research also provides a valid means to study the process parameters of other materials.

Key words: manufacturing technique and equipment, high-speed milling, toroidal cutter, process parameter, artificial neural network, genetic algorithm

CLC Number:

TG543

WANG Yi-qiang， YAN Guo-chen， YUAN Xiu-hua， GU Yan， YANG Lin-lin. Research on Process Parameters of Toroidal Cutter in High-speed Milling of Die Steel S50C[J]. Acta Armamentarii, 2014, 35(7): 1091-1096.

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