NESNELERIN İNTERNETI TABANLI EKLEMELI İMALAT MAKINESININ HATA TESPITINE YÖNELIK DIJITAL İKIZININ MODELLENMESI

Eklemeli İmalat teknolojisi, imalat sanayine farklı bir yön veren teknolojilerdendir. Bu teknoloji ile geleneksel imalat yöntemlerine göre bazı avantajlar ortaya koymuştur. Bilişim teknolojilerinin imkanlarının artmasıyla birlikte imalat sanayinde iyileştirme ve maliyet odaklı yeni yaklaşımlar benimsenmeye başlanmıştır. Dijital ikiz teknolojisi de böyle bir yaklaşımdır. Dijital ikiz, genellikle fiziksel bir sistemin dijital kopyası olarak adlandırılır. Dijital ikizler, tasarım ve üretim süreçlerinin işleyişi, sorun giderme, teşhis ve problem çözme için bilgi ve modeller sağlar. Fiziksel sistemlerdeki durumların izlenerek dijital sistemlere veri aktarımı için çeşitli sensörlere ihtiyaç duyulmaktadır. Nesnelerin internetine uygun bu sensörlerden bazıları imalat makinelerinde olmakla birlikte bazıları da sonradan ilave edilebilmektedir. Çalışmada, dijitalleşmenin avantajlarını üretim sistemlerine kazandırmak amacıyla, sanal ortam kullanılarak dijital ikizin oluşturulması için Nesnelerin İnterneti tabanlı bir sistem önerilmiş ve dijital ikiz simülasyonu yapılmıştır. Dijital ikiz Matlab Simulink ortamında, eklemeli imalat makinesinin işleyişini aksatacak ve imalat parçasının kalitesini etkileyebilecek potansiyele sahip normal dışı fiziksel şartları tespit etmek için ikili sınıflandırma yapacak şekilde modellenmiştir. Önerilen sistem, gerçek makine verilerinden bir dijital ikiz oluşturarak hataları tespit edebilecektir.

MODELING OF IOT-BASED ADDITIVE MANUFACTURING MACHINE’S DIGITAL TWIN FOR ERROR DETECTION

Additive Manufacturing technology is one of the technologies that is changing the manufacturing industry. It has revealed some advantages over traditional manufacturing methods with this technology. With the advancement of information technologies, new approaches focusing on cost and improvement have begun to be adopted in the manufacturing industry. One such method is digital twin technology. A digital twin is frequently referred to as a digital replication of a physical system. Digital twins provide data and models to support the operation of design and manufacturing processes, as well as troubleshooting, diagnostics, and problem-solving. Various sensors are required to monitor the status of physical systems and transfer data to digital systems. Some of these Internet of Things-compatible sensors are already in production machines, but others can be added later. In the study, an Internet of Things-based system was proposed for the creation of digital twins using a virtual environment, and a digital twin simulation was created in order to bring the benefits of digitalization to production systems. The digital twin is modeled in the Matlab Simulink environment to perform binary classification to detect abnormal physical conditions that have the potential to disrupt the operation of the additive manufacturing machine and affect the quality of the manufacturing part. By generating a digital twin from real machine data, the proposed system will be able to detect errors.

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Mühendislik Bilimleri ve Tasarım Dergisi-Cover
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2010
  • Yayıncı: Süleyman Demirel Üniversitesi Mühendislik Fakültesi
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