Metrology Process to Produce High-Value Components and Reduce Waste for the Fourth Industrial Revolution

Ahmad Junaid, Muftooh Ur Rehman Siddiqi, Sundas Tariq, Riaz Muhammad, Ubaidullah Paracha, Nasim Ullah, Ahmad Aziz Al Ahmadi, Muhammad Suleman and Tufail Habib
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Ahmad Junaid: Department of Computer Science, CECOS University of IT and Emerging Science, Peshawar 25000, Pakistan
Muftooh Ur Rehman Siddiqi: Mechanical, Biomedical and Design Engineering, Aston University, Birmingham B4 7ET, UK
Sundas Tariq: Department of Computer Science, Peshawar University, Peshawar 25000, Pakistan
Riaz Muhammad: Mechanical Engineering Department, College of Engineering, University of Bahrain, Sakhir 32038, Bahrain
Ubaidullah Paracha: Department of Computer Science, CECOS University of IT and Emerging Science, Peshawar 25000, Pakistan
Nasim Ullah: Department of Electrical Engineering, College of Engineering, TAIF University, P.O. Box 11099, Taif 21944, Saudi Arabia
Ahmad Aziz Al Ahmadi: Department of Electrical Engineering, College of Engineering, TAIF University, P.O. Box 11099, Taif 21944, Saudi Arabia
Muhammad Suleman: Department of Nanotechnology & Advanced Materials Engineering, Sejong University, Seoul 05006, Korea
Tufail Habib: Department of Industrial Engineering, University of Engineering & Technology, Peshawar 25000, Pakistan

Sustainability, 2022, vol. 14, issue 12, 1-17

Abstract: Conventionally, a manufactured product undergoes a quality control process. The quality control department mostly ensures that the dimensions of the manufactured products are within the desired range, i.e., the product either satisfies the defined conformity range or is rejected. Failing to satisfy the conformity range increases the manufacturing cost and harms the production rate and the environment. Conventional quality control departments take samples from the given batch after the manufacturing process. This, in turn, has two consequences, i.e., low-quality components being delivered to the customer and input energy being wasted in the rejected components. The aim of this paper is to create a high-precision measuring (metrology)-based system that measures the dimension of an object in real time during the machining process. This is accomplished by integrating a vision-based system with image processing techniques in the manufacturing process. Experiments were planned using an experimental design which included different lightning conditions, camera locations, and revolutions per minute (rpm) values. Using the proposed technique, submillimeter dimensional accuracy was achieved at all the measured points of the component in real time. Manual validation and statistical analysis were performed to check the validity of the system.

Keywords: quality control; metrology; machine vision; Industry 4.0 (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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