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Experimental techniques, v.38 no.4, 2014년, pp.54 - 60
Asiltürk, İ. (Faculty of Technology, Selcuk University, 42075 Kampü)
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This article proposes for predicting the surface roughness of AISI 1040 steel material using the artificial intelligent. Cutting speed, feed rate, depth of cut, and nose radius have been taken into consideration as input factors and corresponding surface roughness values (Ra, Rt) as output. A series...
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