A comparative study of ANN and FES for predicting of cutting forces and tool tip temperature in turning
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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. Copyright © 2010 ACM.
Açıklama
11th International Conference on Computer Systems and Technologies, CompSysTech'10 -- 17 June 2010 through 18 June 2010 -- Sofia -- 81605
Anahtar Kelimeler
Artificial Neural Network, Cutting Force, Estimation Model, Fuzzy Expert System, Turning
Kaynak
ACM International Conference Proceeding Series
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
471
