Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELSEVIER SCIENCE SA
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In bandsaw machines, it is desired to feed the bandsaw blade into the workpiece with an appropriate feeding force in order to perform an efficient cutting operation. This can be accomplished by controlling the feed rate and thrust force by accurately detecting the cutting resistance against the bandsaw blade during cutting operation. In this study, a neural-fuzzy-based force model for controlling band sawing process was established. Cutting parameters were continuously updated by a secondary neural network, to compensate the effect of environmental disturbances. Required feed rate and cutting speed were adjusted by developed fuzzy logic controller. Results of cutting experiments using several steel specimens show that the developed neural-fuzzy system performs well in real time in controlling cutting speed and feed rate during band sawing. A material identification system was developed by using the measured cutting forces. Materials were identified at the beginning of the cutting operation and cutting force model was updated by using the detected material type. Consequently, cutting speed and feed rate were adjusted by using the updated model. The new methodology is found to be easily integrable to existing production systems. (c) 2008 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Intelligent manufacturing, Fuzzy control, Neural-fuzzy controller, Adaptive control of band sawing, Band sawing
Kaynak
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
209
Sayı
5
