Rinser Machine and the Dynamics-based Failure Analysis for Spur Gear Fault Detection: A Forensic Review

Author:

Orhevba Amanda O.,Salawu Enesi Y.,Ajayi Oluseyi O.,Inegbenebor Anthony O.,Leramo Richard O.,Dirisu Joseph O.,Afolalu Sunday A.

Abstract

Abstract Gear fault detection and its severity is essential for analyzing the availability, maintainability and reliability of rinser machines. The occurrence of multiple failures of gears and their analysis is becoming more challenging, thereby causing the increased unavailability of rinser machines. This study reviewed the rinser machine and its various advantages and disadvantages, including the problems associated with the machine. More so, various types of failures associated with the spur gears were studied, and it was established that the detection and the diagnosis of gear faults would inform a maintenance planner on scheduled maintenance. Thus, the absence of failure detection will cause uncontrolled machine breakdown and, consequently, result in unsafe operation as well as a loss of productivity. The study concludes and recommends grey cast iron as alternative material that could reduce chemical failure and failure resulting from fatigue.

Publisher

IOP Publishing

Subject

General Engineering

Reference57 articles.

1. Theoretical modelling of thermal-hoop stress around the tooth of a spur gear in a filler machine;Salawu;Journal of Multidisciplinary Engineering Science and Technology (JMEST),2015

2. Influence of pulverized palm kernel and egg shell additives on the hardness, coefficient of friction and microstructure of grey cast iron material for advance applications;Salawu;Results in Engineering,2019

3. Handbook of Materials Failure Analysis

4. Mathematical model for assessing the accuracy of processed gears on gear shaping machines;Khusainov;Procedia Engineering,2017

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