Vision-based Online Defect Detection of Polymeric Film via Structural Quality Metrics

• Autorzy: Nathir Rawashdeh , Paniz Hazaveh , Safwan Altarazi
• Języki publikacji: EN

Abstrakty

EN

Nondestructive and contactless online approaches for detecting defects in polymer films are of significant interest in manufacturing. This paper develops vision-based quality metrics for detecting the defects of width consistency, film edge straightness, and specks in a polymeric film production process. The three metrics are calculated from an online low-cost grayscale camera positioned over the moving film before the final collection roller and can be implemented in real-time to monitor the film manufacturing for process and quality control. The objective metrics are calibrated to correlate with an expert ranking of test samples, and results show that they can be used to detect defects and measure the quality of polymer films with satisfactory accuracy. (original abstract)

Słowa kluczowe

EN

Quality inspection; Polymers; Qualitative coefficients

PL

Kontrola jakości; Polimery; Wskaźniki jakościowe

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: 14
• Numer: nr 1
• Strony: 61--71

Twórcy

autor

Nathir Rawashdeh

• Michigan Technological University, United States of America; German Jordanian University, Jordan

autor

Paniz Hazaveh

• German Jordanian University, Jordan

autor

Safwan Altarazi

• German Jordanian University, Jordan

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Identyfikatory

DOI

10.24425/mper.2023.145366