Paper Title :Optimization and Predictive Modelling on Surface Roughness of Duplex Stainless Steel using Artificial Neural Network

Author :Semih Ozden, Ahmet Mavi, Gultekin Uzun

Article Citation :Semih Ozden ,Ahmet Mavi ,Gultekin Uzun , (2017 ) " Optimization and Predictive Modelling on Surface Roughness of Duplex Stainless Steel using Artificial Neural Network " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 86-90, Volume-5,Issue-7

Abstract : In this study, a prediction model was developed for surface roughness of Duplex Stainless Steel (1.4462) by using Artificial Neural Network (ANN). Machinability tests were carried out under dry conditions at the CNC lathe with the cutting parameters selected in accordance with ISO 3685. In the experiment, surface roughness depending on cutting parameters (cutting speed, chip angle and feed rate) were measured. These parameters were used for ANN as input parameters (training and testing). Output parameters of ANN were surface roughness and temperature values. The accuracy of ANN performance evaluated by regression analysis with comparing experimental and predicted. ANN model provided highly accurate and consistent prediction for all output parameters. Keywords - Duplex Stainless Steel, Neural Network, Surface Roughness

Type : Research paper

Published : Volume-5,Issue-7

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