Investigation and analysis of 4142 alloy steel machining capabilities using neural networks
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 12
Abstract
Machining capabilities is one of the affective and important parameters in producing metal pieces, especially the required pieces in industry, which alloy steel 4142 is not an exception either. The valuable criterion for machining, is machining forces and surface coarseness which has been machined.In this research we want to check the machining capability of alloy steel 4142 and also forging the relationship between input parameters(shear velocity,progress rate ,shear depth) with output parameters(coarseness of the surface, shear forces) to gain a favorable condition of shear that we could reduce the machining time and costs.Choosing the range of appropriate machining parameters by using trial and error method takes a lot of time and cost and the machined surface may not have the favorable quality, therefore by modelling the outputs of machining process through artificial neutral networks theory, and practical tests to approve the results of modelling outputs (consumed forces,surface coarseness), and by experimental study of the input parameters (shear velocity ,progress rate ,shear depth), the appropriate condition of modelling is suggested.
Authors and Affiliations
Ako Karimi| Department of Mechanic, college of Mechanic, Kurdistan Science and Research Branch, Islamic Azad University, Sanandaj, Iran, email: ako.karimi.varz@gmail.com, Reza Azarafza| Department of Mechanical Engineering, Malek ashtar University of Technology, Tehran, Iran.
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