Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study

Manufacturing Metrology is a vital aspect of the sophisticated industrial 4.0-based manufacturing industry, as practically everything machined with certain metrological systems has to be measured or inspected. The Internet of Things (IoT) is a critical technology for industry 4.0 development. Furthe...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Saif, Yazid, Yusof, Yusri, Latif, Kamran, Abdul Kadir, Aini Zuhra, lliyas Ahmed, Maznah, Adam, Anbia, Noor Hatem, Noor Hatem, Memon, Danish Ali
التنسيق: مقال
منشور في: Elsevier Ltd 2022
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الوصول للمادة أونلاين:http://eprints.utm.my/103132/
http://dx.doi.org/10.1016/j.measurement.2022.111072
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spelling my.utm.1031322023-10-17T01:09:17Z http://eprints.utm.my/103132/ Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study Saif, Yazid Yusof, Yusri Latif, Kamran Abdul Kadir, Aini Zuhra lliyas Ahmed, Maznah Adam, Anbia Noor Hatem, Noor Hatem Memon, Danish Ali TJ Mechanical engineering and machinery Manufacturing Metrology is a vital aspect of the sophisticated industrial 4.0-based manufacturing industry, as practically everything machined with certain metrological systems has to be measured or inspected. The Internet of Things (IoT) is a critical technology for industry 4.0 development. Furthermore, modern industrial devices should communicate via local (edge) and cloud computing servers. The Message Queuing Telemetry Transport (MQTT) protocol intends to increase the performance for sending/receiving roundness holes’ data measuring from /to the server-based cloud. An error in its roundness mainly involves the inspection of circular portions. Roundness errors generate assemblies, lubricant distribution, and rotational force creation challenges. This study proposed applying the 3SMVI system and validating the system's by utilising the minimum zone circle tolerance algorithm to provide the precise error value and determine the roundness circle's error between the five circles. Hence, the approach is currently used for measuring the roundness circle error in the camera industry throughout the manufacture of components. The experiment was conducted using the smart system based on interpreted STEP-NC files for machine vision inspection (3SMVI) for non-contact and Coordinate Measuring Machine (CMM) for contact approaches by comparing the results. The Contact Measurement Method (CMM) is one of the most precise and time-consuming ways to inspect a round object for imperfections. The article validates the development of the 3SMVI system based on IoT architecture by utilising image processing technologies to measure errors in the circular roundness that can overcome these difficulties. The findings of both approaches showed a difference between 4.6 µm and 9.6 µm. However, Precession can be enhanced by a high-resolution camera with the right light. Elsevier Ltd 2022-05-31 Article PeerReviewed Saif, Yazid and Yusof, Yusri and Latif, Kamran and Abdul Kadir, Aini Zuhra and lliyas Ahmed, Maznah and Adam, Anbia and Noor Hatem, Noor Hatem and Memon, Danish Ali (2022) Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study. Measurement: Journal of the International Measurement Confederation, 195 (NA). pp. 1-14. ISSN 0263-2241 http://dx.doi.org/10.1016/j.measurement.2022.111072 DOI:10.1016/j.measurement.2022.111072
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Saif, Yazid
Yusof, Yusri
Latif, Kamran
Abdul Kadir, Aini Zuhra
lliyas Ahmed, Maznah
Adam, Anbia
Noor Hatem, Noor Hatem
Memon, Danish Ali
Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
description Manufacturing Metrology is a vital aspect of the sophisticated industrial 4.0-based manufacturing industry, as practically everything machined with certain metrological systems has to be measured or inspected. The Internet of Things (IoT) is a critical technology for industry 4.0 development. Furthermore, modern industrial devices should communicate via local (edge) and cloud computing servers. The Message Queuing Telemetry Transport (MQTT) protocol intends to increase the performance for sending/receiving roundness holes’ data measuring from /to the server-based cloud. An error in its roundness mainly involves the inspection of circular portions. Roundness errors generate assemblies, lubricant distribution, and rotational force creation challenges. This study proposed applying the 3SMVI system and validating the system's by utilising the minimum zone circle tolerance algorithm to provide the precise error value and determine the roundness circle's error between the five circles. Hence, the approach is currently used for measuring the roundness circle error in the camera industry throughout the manufacture of components. The experiment was conducted using the smart system based on interpreted STEP-NC files for machine vision inspection (3SMVI) for non-contact and Coordinate Measuring Machine (CMM) for contact approaches by comparing the results. The Contact Measurement Method (CMM) is one of the most precise and time-consuming ways to inspect a round object for imperfections. The article validates the development of the 3SMVI system based on IoT architecture by utilising image processing technologies to measure errors in the circular roundness that can overcome these difficulties. The findings of both approaches showed a difference between 4.6 µm and 9.6 µm. However, Precession can be enhanced by a high-resolution camera with the right light.
format Article
author Saif, Yazid
Yusof, Yusri
Latif, Kamran
Abdul Kadir, Aini Zuhra
lliyas Ahmed, Maznah
Adam, Anbia
Noor Hatem, Noor Hatem
Memon, Danish Ali
author_facet Saif, Yazid
Yusof, Yusri
Latif, Kamran
Abdul Kadir, Aini Zuhra
lliyas Ahmed, Maznah
Adam, Anbia
Noor Hatem, Noor Hatem
Memon, Danish Ali
author_sort Saif, Yazid
title Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
title_short Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
title_full Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
title_fullStr Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
title_full_unstemmed Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: a case study
title_sort roundness holes’ measurement for milled workpiece using machine vision inspection system based on iot structure: a case study
publisher Elsevier Ltd
publishDate 2022
url http://eprints.utm.my/103132/
http://dx.doi.org/10.1016/j.measurement.2022.111072
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