Development of a diagnostic schedule for a defective LC-195V5 CNC Milling machine using PERT

Agboola, O.O. and Kareem, B. and Akinnuli, B.O. (2016) Development of a diagnostic schedule for a defective LC-195V5 CNC Milling machine using PERT. Leonardo Electronic Journal of Practices and Technologies (28). pp. 107-118. ISSN 1583-1078

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Abstract

Computer Numerical Control CNC machine tools usage are more and more extensive, its fault diagnosis research is becoming more essential. Failure forms accorded these machines are diversified, and fault reasons are very complicated. It should not be left unattended to, because this could lead to further deterioration. One of the parameters used in determining the efficiency of a technician (who repairs machine tools) is the time saved in locating faults, hence the development of a diagnostic schedule which shows the sequential means of troubleshooting within a possible shortest time. In this research two approaches were used to diagnose a defective LC-195V5 CNC milling machine. Forward Pass (FP), which involves the diagnosis from electrical parts through Computer (CNC) to mechanical component and Backward Pass (BP) which involves the diagnosis from computer component through electrical parts to mechanical parts. Three different trials were conducted for each of the mode of diagnosis and the time to diagnose each component part was recorded. Based on the interrelationship of the component parts, two separate PERT (Project Evaluation & Review Techniques) network diagrams were drawn and their Critical Paths were determined. The study reveals that Foward Pass method was able to save more time.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Engr. Olayinka Agboola
Date Deposited: 13 Jul 2017 09:41
Last Modified: 16 Sep 2019 10:50
URI: https://eprints.lmu.edu.ng/id/eprint/938

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