A Comparative Study of ANN and FES for Predicting of Cutting Forces and Tool Tip Temperature in Turning

Özet

In this study, fuzzy expert system (FES) and artificial neural network (ANN) models are designed for the estimation of cutting forces in turning operations. On designed models, cutting forces and experimental temperature data obtained from different cutting conditions were used in process of turning. Cutting forces at different cutting conditions and temperature values can be estimated with the help of developed models. The results obtained with these models, compared with the experimental data. The regression values were found as 0.99505 between the Experiment-FES and, 0.9888 between Experiment-ANN in the analysis. As a result, the both artificial intelligence (AI) methods have made successful modeling, but it’s seen that, realized FES model has more successful results than the ANN model in the process of estimation of cutting forces.

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Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies

Ilker Ali OZKAN, Ismail SARITAS, Suleyman YALDIZ, (2010), A Comparative Study of ANN and FES for Predicting of Cutting Forces and Tool Tip Temperature in Turning, CompSysTech'10  International Conference on Computer Systems and Technologies CompSysyTech'10,vol 471, pp.177-185, June 17-18,2010, Sofia, BULGARIA. (Yüksek Lisans Tezinden)