Performance Analysis of Surface Defect Detection Algorithm of Aerospace Parts via Confusion Matrix Approach

Authors

  • Afrena Darwisyah Azman Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Lokman Abdullah Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Khairul Anuar Rahman Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Rprakash Ramanathan Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Mohd Shahrieel Mohd Aras Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Nizam Kamarudin Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Hafidz Fazli Md Fauadi Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Syafiq Syed Mohamed Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Hassan Attan Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Effendy Onn Siam Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Mohd Hisham Nordin School of Engineering, Computing and Mathematics, University of Plymouth, Drake Circus, PL4 8AA, United Kingdom
  • Muhammad Syafik Jumali Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

DOI:

https://doi.org/10.37934/araset.55.1.141153

Keywords:

Surface defect detection (SDD), Confusion matrix, Surface quality, Injection moulding, Aerospace parts

Abstract

This paper examines the development of surface defect detection algorithm of a real plastic injection moulding parts from an aerospace part supplier company. Plastic injection moulding has evolved into one of the most essential and commonly utilized polymer processing activities in the plastics industry today. The work being done attempts to accomplish three goals: identify the frequency of defective injection moulded parts produced, develop an algorithm to detect defective parts using image processing techniques, and evaluate the effectiveness of image processing techniques for quality inspection in terms of accuracy and processing time. According to the protocol, there are five phases to this project: fault frequency detection, technique selection for image processing, MATLAB coding development, MATLAB coding debugging, and automatic inspection analysis. In this project, the algorithm and Graphical User Interface (GUI) are generated using the MATLAB Simulink program. A total of 100 parts samples were inspected, and the accuracy attained was 96% while processing time was reduced by 8.81 seconds.

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Author Biographies

Afrena Darwisyah Azman, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

b051820081@student.utem.edu.my

Lokman Abdullah, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

lokman@utem.edu.my

Khairul Anuar Rahman, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

khairulanuar@utem.edu.my

Rprakash Ramanathan, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

m052010032@student.utem.edu.my

Mohd Shahrieel Mohd Aras, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

shahrieel@utem.edu.my

Muhammad Nizam Kamarudin, Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

nizamkamarudin@utem.edu.my

Muhammad Hafidz Fazli Md Fauadi, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

hafidz@utem.edu.my

Muhammad Syafiq Syed Mohamed, Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

syafiq@utem.edu.my

Hassan Attan, Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

hassan@utem.edu.my

Effendy Onn Siam, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

effendyonn@utem.edu.my

Mohd Hisham Nordin, School of Engineering, Computing and Mathematics, University of Plymouth, Drake Circus, PL4 8AA, United Kingdom

mohdhisham.nordin@plymouth.ac.uk

Muhammad Syafik Jumali, Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

syafik@utem.edu.my

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Published

2024-10-07

Issue

Online First Articles

Section

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