Investigation of the effects of different chip breaker forms on the cutting forces using artificial neural networks

Hüseyin GURBUZ; Abdullah KURT; Ulvi SEKER

Makale detayları

Investigation of the effects of different chip breaker forms on the cutting forces using artificial neural networks

Yazarlar:

Hüseyin GURBUZ | Abdullah KURT | Ulvi SEKER

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2012 Vol.25 Issue 3, pp.803-814

Belge Tipi:

Makale

Yayın Tarihi:

1/2012

Belge Dili:

İngilizce

Document ID (Org No.):

2000429314

eISSN:

2147-1762

Özet:

 


This paper presents a new approach based on artificial neural networks (ANNs) to determine the effects of different chip breaker forms on cutting forces such as principal cutting force, feed force and passive force, in the machining of AISI 1050. The backpropagation learning algorithm and fermi transfer function were used in the network. The best fitting training data set was obtained with nine neurons in the hidden layer, which made it possible to predict cutting forces with an accuracy which is at least as good as that of the experimental error, over the whole experimental range. After training, it was found that the R2 values are 0.9829, 0.9667 and 0.9492 for FC, Ff and Fp, respectively. The average error is %0.145. As seen from the results of mathematical modeling, the calculated cutting forces are obviously within acceptable uncertainties.

 

                Keywords: Cutting forces, Chip breaker form, Artificial neural 

               networks

.

Makale detayları

Investigation of the effects of different chip breaker forms on the cutting forces using artificial neural networks

Yazarlar: Hüseyin GURBUZ | Abdullah KURT | Ulvi SEKER

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2012 Vol.25 Issue 3, pp.803-814

Belge Tipi: Makale

Yayın Tarihi: 1/2012

Belge Dili: İngilizce

Document ID (Org No.): 2000429314

eISSN: 2147-1762

Sayı

Yazarlar:

Hüseyin GURBUZ | Abdullah KURT | Ulvi SEKER

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2012 Vol.25 Issue 3, pp.803-814

Belge Tipi:

Makale

Yayın Tarihi:

1/2012

Belge Dili:

İngilizce

Document ID (Org No.):

2000429314

eISSN:

2147-1762