Orhevba, Amanda O. and Salawu, Enesi Y. and Ajayi, O. O. and Inegbenebor, A.O. and Leramo, R.O. and Dirisu, J. O. and Afolalu, Sunday A. (2022) Rinser Machine and the Dynamics-based Failure Analysis for Spur Gear Fault Detection: A Forensic Review. In: International Conference on Energy and Sustainable Environment.
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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 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
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Gear failure, rinser machine, reliability, fault diagnosis, grey cast iron |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | AKINWUMI |
| Date Deposited: | 07 Nov 2022 12:35 |
| Last Modified: | 07 Nov 2022 12:35 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16411 |
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