Testere ile kesme işleminde yapay zeka tabanlı adaptif kontrol uygulaması
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Dosyalar
Tarih
2007-05-29
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi Fen Bilimleri Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Bu çalışmada, yatay şerit testere tezgâhın zeki adaptif kontrolünün tasarım ve imalatı gerçekleştirilmiştir. Testereyle kesme işleminde kesme kuvvetleri, ivme, akustik emisyon ve akım izlenmiştir. YSA kullanarak kesme parametrelerine bağlıkesme kuvvetleri tahmin
modeli kurulmuştur. Kurulan modelin referans çıkışlarıile gerçek zamanlıölçülen kesme kuvvetleri karşılaştırılarak aradaki farklar ve farkların integrali bir bulanık kontrolöre girilmiştir. Bulanık kontrolör bu girişlere karşılık kesme hızı ve ilerleme parametrelerini üretmektedir. Böylece sistem hatayı minimum eden hız ve ilerlemeyle çalışmaktadır. Talaş kaldırma işlemlerinde sabit referans model yerine, sürekli kendini güncelleyen bir YSA adaptif kuvvet kontrolü amaçlı kullanılmıştır. Bu sayede kesme parametreleri ve gerçek kesme kuvvetlerine dayalı malzeme tanıma sistemi geliştirilmiştir. Gerçekleştirilen sistem ile malzemenin kesilmeye başlanmasıyla referans
model üretilmekte, malzeme sertliği veya geometri değişikliği (kesme derinliği ve
genişliği) ile model sürekli yenilenmektedir. İlerleme ve kesme hızıadaptif olarak bu
modele göre ayarlanmaktadır. Bu sayede minimum kesme zamanında ekonomik
üretim gerçekleştirilmiştir. Sistemin tasarım, yazılım ve modellenmesinde Matlab araçları kullanılmıştır.
In this study, the design and manufacture of intelligent adaptive control of horizontal band saw machine were made. Cutting force, acoustic emission, current and acceleration were monitoring during band sawing process. Predicted model of the cutting force was set up using Neural Network. The reference outputs of this model and measured real time cutting force were compared and differences between them and their integrals were input to i Fuzzy logic controller. Cutting speed and feed rate parameters were produced by Fuzzy logic controllers In the material removing processes, Neural Network adaptive control was used instead of constant force model. By this way, Material identification system was improved, depending on the cutting parameters and real cutting forces. According to this, reference model was produced during cutting processes and this model continuously renewed with respect to cutting depth, cutting width the part length of cut and material hardness. Feed rate and cutting speed values were adjusted according to this adaptive model. Experimental results showed that minimum cutting time and maximum production rate was obtained. Matlab Toolboxes were used for design, software and modeling of the system.
In this study, the design and manufacture of intelligent adaptive control of horizontal band saw machine were made. Cutting force, acoustic emission, current and acceleration were monitoring during band sawing process. Predicted model of the cutting force was set up using Neural Network. The reference outputs of this model and measured real time cutting force were compared and differences between them and their integrals were input to i Fuzzy logic controller. Cutting speed and feed rate parameters were produced by Fuzzy logic controllers In the material removing processes, Neural Network adaptive control was used instead of constant force model. By this way, Material identification system was improved, depending on the cutting parameters and real cutting forces. According to this, reference model was produced during cutting processes and this model continuously renewed with respect to cutting depth, cutting width the part length of cut and material hardness. Feed rate and cutting speed values were adjusted according to this adaptive model. Experimental results showed that minimum cutting time and maximum production rate was obtained. Matlab Toolboxes were used for design, software and modeling of the system.
Açıklama
Anahtar Kelimeler
Zeki üretim, Adaptif kontrol, Şerit testere, Metal kesme, Yapay zeka, Artificial intelligence, Metal cutting, Bandsaw, Adaptive control, Intelligent manufacturing
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Asiltürk, İ. (2007). Testere ile kesme işleminde yapay zeka tabanlı adaptif kontrol uygulaması. Selçuk Üniversitesi, Yayımlanmış doktora tezi, Konya.
