On-line Prediction of Tool Wears by Using Methods of Artificial Neural Networks and Fuzzy Logic
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ACADEMIC JOURNALS
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The goal of this study is prediction of tool wear with integrated system made by on-line monitoring of the changes on tool during cutting operations with using artificial neural networks and fuzzy logic methods. For best monitoring, the tool condition, multiple sensor data are collected to represent the tool condition. Artificial neural networks with different parameters was first trained with sample experimental data and then tested with test data. Fuzzy logic is used for the classification of tool wear which is estimated with neural network according to the predefined levels. Results with 100% accuracy are gained by fuzzy process in predefined classes. The software written for this study can be used to monitor tool condition on-line, saving sensor data, viewing the process on graphic and producing alarm-control signals when it is necessary.
Açıklama
Anahtar Kelimeler
Tool condition monitoring, artificial neural networks, fuzzy logic, tool wear, turning
Kaynak
Scientific Research and Essays
WoS Q Değeri
Q3
Scopus Q Değeri
N/A
Cilt
5
Sayı
19
Künye
Başçiftçi, F., Şeker, H., (2010). On-line Prediction of Tool Wears by Using Methods of Artificial Neural Networks and Fuzzy Logic. Scientific Research and Essays, 5(19), 2883-2888.
