Akademik Veri Yönetim Sistemi
6.International Anatolian Scientific Research Congress, Konya, Türkiye, 8 - 10 Kasım 2024, ss.183-184, (Özet Bildiri)
ABSTRACT
Introduction and Purpose: Nowadays, the use of artificial intelligence (AI) supported visual inspection systems is becoming increasingly prevalent, particularly in factories engaged in mass production. This trend is driven by the various disadvantages of manual control systems. Manual control systems are operatordependent, resulting in slow inspection speeds, high error rates, substantial financial losses, and low productivity. In contrast, AI-supported visual inspection systems offer effective solutions to these issues. Their capabilities include high-speed inspection, detection of complex and difficult-to-spot defects, programming of high-probability faults via software, and the ability to learn and adapt. These attributes make AI-supported visual inspection systems advantageous in industrial applications.
Materials and Methods: In manufacturing processes, parts are produced using various manufacturing methods, with sheet metal forming techniques playing a crucial role, especially for cylindrical components. Deep drawing is one of the primary methods preferred for producing such parts. However, this method poses challenges in serial production environments, where certain quality issues (such as axis deviation, hole deformation, etc.) may be difficult for operators to detect.
Results: In this context, this project aims to employ an AI-supported visual inspection system for detecting defects such as hole misalignment, edge cracks, deep marks, tears, and axial deviations in cylindrical parts of air brake system components manufactured using sheet metal forming techniques, particularly deep drawing. In this context, an artificial intelligence-based visual control system that controls with 10 cameras had been implemented in the final control line in order to catch relevant errors on-site and not to put the customer at risk. This integration ensures the shipment of defect-free products to Original Equipment Manufacturers (OEMs) and enhances the competitiveness of our factory.
Key Words: Artificial intelligence, visual inspection system, air brake system, failure analysis