ON-LINE A PREDICTIVE MODEL OF CUTTING FORCE IN TURNING WITH 3 AXIS ACCELERATION TRANSDUCER USING NEURAL NETWORK
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AMER SOC MECHANICAL ENGINEERS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study cutting forces prediction was modeled using back propagation (BP) neural network algorithm. Experimental turning dataset is used in this study to train and evaluate the model. The Input dataset includes speed, feed rate, depth of cut, vibration levels along the three axes on tool holder (ax,ay,az). The Output dataset includes feed force, vertical force, and radial force. Marginally acceptable results were given by early experiments of this study and when data was examined, high non-linearity can be seen from the prepared graphic.. In the previous work, a fine development of reliability of predicting the cutting forces can be observed by the help of results. To compare the estimated results of cutting force from this method with the cutting force signal can be measured directly by dynamometer; it is found that the difference between measured and estimated cutting forces is less than 0.2% in all case.
Açıklama
2nd International Conference on Advanced Computer Theory and Engineering (ICACTE 2009) -- SEP 25-27, 2009 -- Cairo, EGYPT
Anahtar Kelimeler
Neural Network, Cutting Forces, CNC Turning
Kaynak
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
