Enhanced of Tool Management Based on Machine Vision in the Field of Metal Forming Technology

• Autorzy: Świłło Sławomir , Cacko Robert

Identyfikatory

DOI

10.24425/amm.2022.141069

• Języki publikacji: EN

Abstrakty

EN

In this article, the authors focused on the widely used aluminium extrusion technology, where the die quality and durability are the essential factors. In this study, detailed solutions in the three-key area have been presented. First is applying marking technology, where a laser technique was proposed as a consistent light source of high power in a selected, narrow spectral range. In the second, an automated and reliable identification method of alphanumeric characters was investigated using an advanced machine vision system and digital image processing adopted to the industrial conditions. Third, a proposed concept of online tool management was introduced as an efficient process for properly planning the production process, cost estimation and risk assessment. In this research, the authors pay attention to the designed vision system’s speed, reliability, and mobility. This leads to the practical, industrial application of the proposed solutions, where the influence of external factors is not negligible.

Słowa kluczowe

EN

die; aluminium extrusion; tool management; machine vision; digital image processing

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2022
• Tom: Vol. 67, iss. 4
• Strony: 1419--1425
• Opis fizyczny: Bibliogr. 28 poz., fot., rys., tab., wzory

Twórcy

autor

Świłło Sławomir

• Warsaw University of Technology, Metal Forming and Foundry, Faculty of Mechanical and Industrial Engineering, 85 Narbutta Str., 02-525, Warszawa, Poland

• https://orcid.org/0000-0001-9565-4629

autor

Cacko Robert

• Warsaw University of Technology, Metal Forming and Foundry, Faculty of Mechanical and Industrial Engineering, 85 Narbutta Str., 02-525, Warszawa, Poland

• https://orcid.org/0000-0002-1803-5557

Bibliografia

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Uwagi

1. The authors would like to thank the valuable information and materials provided by Extral Aluminium Company.

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).