Selection of Pipeline Investigation Robot via Pugh Method

Authors

  • Choo Wou Onn Faculty of Information Technology, INTI International University, Nilai, Negeri Sembilan, Malaysia.
  • Yuli Panca Asmara Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai, Negeri Sembilan, Malaysia
  • Shawkat Ali Allybocus Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai, Negeri Sembilan, Malaysia
  • Adnan Orakzai Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai, Negeri Sembilan, Malaysia
  • Muhammad Izzat Nor Ma’arof Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai, Negeri Sembilan, Malaysia
  • Girma Tadesse Chala International College of Engineering and Management, Muscat, Oman

Keywords:

Corrosion, inspection robot, pugh method, engineering design

Abstract

A pipeline network or a pipeline system is the connection of several pipes that provide a path in
allowing for transportation of matter. Nonetheless, failure or deterioration may occur overtime in
this pipeline system due to corrosion and/erosion. Therefore, this study was aimed at determining
the optimal design for a pipeline’s corrosion investigation robot via Pugh Method. An extensive
research was carried out to identify the existing models and their specific mechanism for operation.
Moreover, pipeline was studied to achieve a better understanding on the subject. Based on the
literature, several criteria were taken into consideration in utilizing the Pugh method for the
selection process. The criteria for selection were: (i) stability, (ii) mobility, (iii) adaptability, (iv)
flexibility, (v) strength, and (vi) hydrodynamic. The resulting outputs were seven (7) potential
designs for the corrosion investigation robot. From the Pugh Method, Design 1, Design 2, Design
3, Design 4, Design 5, Design 6, and Design 7 have earned a total of -1, +3, +2, +4, +9, +11, and
+12 points respectively out of a total of +18 points. Conclusively, based on this ratings, Design 7
was selected. For future studies, it is recommended that further analysis such as finite element
analysis (FEA) is conducted on Design 7

Published

2020-11-06

Issue

Section

Articles