Milling Features Recognition Methodology of Rectangular Fillet Blind Pocket for Universal Data Structure

Authors

  • Muhammad Haziq Omar Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Siti Nurul Akmal Yusof Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Saiful Bahri Mohamed Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Amirulihsan Mohamad Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Raja Fatin Najiha Raja Anuar Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Zammeri Abd Rahman Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia
  • Yutaka Asako Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Huang Da Tianjin Modern Vocational Technology College, No.3 Yaguan Road, Jinnan District, Tianjin, China

DOI:

https://doi.org/10.37934/araset.30.3.5768

Keywords:

CNC Milling machine, STEP File, geometric entities

Abstract

Various studies have focused on developing an interface system that could integrate the machining process with CNC (Computer Numerical Control) machine tools by producing tool paths using STEP (Standard for the Exchange of Product model data) file as an input function. Studies to recognize features in STEP file by encoding the data of geometric entities of a CAD (Computer-Aided Design) design has been done by many researchers. However, they only focus on Cutter Location (CL) which eventually describes the machining profile in the x and y planes without considering the depth of the machining feature in the z-axis. Identifying and recognizing machining features in the STEP file is important since STEP is a platform for converting industry-standard CAD systems and software data models. The aim of this paper is to identify profiles of geometric machining features for rectangular fillet blind pockets using the Geometric Data Extraction (GDE) approach. Three cases have been carried out namely single rectangular fillet blind pocket, double rectangular fillet blind pocket and triple rectangular fillet blind pocket. The results were verified by manual graph plotting and automatic graph plotting using CPM 3D Plotter.

Author Biographies

Muhammad Haziq Omar, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

haziqmuhammad943@gmail.com

Siti Nurul Akmal Yusof, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

snakmalyusof@unisza.edu.my

Saiful Bahri Mohamed, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

saifulbahri@unisza.edu.my

Amirulihsan Mohamad, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

amirulihsan346@gmail.com

Raja Fatin Najiha Raja Anuar, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

najihafatin1998@gmail.com

Zammeri Abd Rahman, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, 21300 Terengganu, Malaysia

zammeri@unisza.edu.my

Yutaka Asako, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia

y.asako@utm.my

Huang Da, Tianjin Modern Vocational Technology College, No.3 Yaguan Road, Jinnan District, Tianjin, China

si4174@putra.unisza.edu.my

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Published

2023-05-15

How to Cite

Muhammad Haziq Omar, Siti Nurul Akmal Yusof, Saiful Bahri Mohamed, Amirulihsan Mohamad, Raja Fatin Najiha Raja Anuar, Zammeri Abd Rahman, Yutaka Asako, & Huang Da. (2023). Milling Features Recognition Methodology of Rectangular Fillet Blind Pocket for Universal Data Structure. Journal of Advanced Research in Applied Sciences and Engineering Technology, 30(3), 57–68. https://doi.org/10.37934/araset.30.3.5768

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Articles