A Case Study of Identifying the Maintenance Significant Items for a Mechanical Vibro Feeder

M. Prakash *, Milon Selvam Dennison **, Rajasekaran R ***, Malik Mohamed Umar ****
* Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
** Department of Mechanical Engineering, Kampala International University (Western Campus), Uganda.
*** Department of Mechanical Engineering, Sri Sivasubramania Nadar College of Engineering, Kalavakkam, India.
**** Department of Electrical and Telecommunications Engineering, School of Engineering and Applied Sciences, Kampala International University, Uganda.
Periodicity:August - October'2020
DOI : https://doi.org/10.26634/jme.10.4.17543

Abstract

A vibratory feeder is a machine that uses both vibration and gravitation to feed material to the machine. Each component of this machine undergoes continuous stress due to dynamic load acting on it for producing a vibratory effect. Due to this cyclic stress, the performance of the machine gradually reduces and leads to failure. In this case study, a mechanical vibro feeder has been analyzed based on the failure data. To analyze the data, Maintenance Significant Items (MSI) have been identified to prioritize the components that lead to the failure of the entire system and concentrating only on these MSI's results in the reduction of the investment time and resources. Failure Mode Effect Analysis (FMEA) chart is used to identify the MSI's based on the rankings of Risk Priority Number (RPN). Finally by using Fault Tree Analysis (FTA), main root causes that lead to failures of the critical components have also been identified.

Keywords

Vibro Feeder, Maintenance Significant Items, Risk Priority Number, Failure Mode Effect Analysis, Fault Tree Analysis.

How to Cite this Article?

Prakash, M., Dennison, M. S., Rajasekaran, R., and Umar, M. M. (2020). A Case Study of Identifying the Maintenance Significant Items for a Mechanical Vibro Feeder. i-manager's Journal on Mechanical Engineering, 10(4), 40-46. https://doi.org/10.26634/jme.10.4.17543

References

[1]. Afshari, H., Jaber, M. Y., & Searcy, C. (2019). Investigating the effects of learning and forgetting on the feasibility of adopting additive manufacturing in supply chains. Computers & Industrial Engineering, 128, 576-590. https://doi.org/10.1016/j.cie.2018.12.069
[2]. Afzali, P., Keynia, F., & Rashidinejad, M. (2019). A new model for reliability-centered maintenance prioritisation of distribution feeders. Energy, 171, 701-709. https://doi.or g/10.1016/j.energy.2019.01.040
[3]. Anderson, R. T., & Neri, L. (2012). Reliability-centered maintenance: Management and engineering methods. Springer Science & Business Media.
[4]. Basri, E. I., Razak, I. H. A., Ab-Samat, H., & Kamaruddin, S. (2017). Preventive maintenance (PM) planning: A review. Journal of Quality in Maintenance Engineering. 23(2), 114- 143. https://doi.org/10.1108/JQME-04-2016-0014
[5]. Chandravanshi, M. L., & Mukhopadhyay, A. K. (2017). Dynamic analysis of vibratory feeder and their effect on feed particle speed on conveying surface. Measurement, 101, 145-156.
[6]. Costa, M. J. R., Gouveia, R. M., Silva, F. J. G., & Campilho, R. D. S. G. (2018). How to solve quality problems by advanced fully-automated manufacturing systems. The International Journal of Advanced Manufacturing Technology, 94(9-12), 3041-3063. https://doi.org/10.100 7/s00170-017-0158-8
[7]. Gualtieri, L., Rauch, E., & Vidoni, R. (2020). Emerging research fields in safety and ergonomics in industrial collaborative robotics: A systematic literature review. Robotics and Computer-Integrated Manufacturing, 67, 1- 30. https://doi.org/10.1016/j.rcim.2020.101998
[8]. Gupta, G., & Mishra, R. P. (2018). Identification of critical components using ANP for implementation of reliability centered maintenance. Procedia CIRP, 69, 905- 909. https://doi.org/10.1016/j.procir.2017.11.122
[9]. Heo, J. H., Kim, M. K., & Lyu, J. K. (2014). Implementation of reliability-centered maintenance for transmission components using particle swarm optimization. International Journal of Electrical Power & Energy Systems, 55, 238-245. https://doi.org/10.1016/j.ijepes.2013.09.005
[10]. Islam, H. (2010). Reliability-centered maintenance methodology and application: A case study. Engineering, 2(11), 863-873.https://doi.org/10.4236/eng.2010.211109
[11]. Jiang, H., Zhao, Y., Duan, C., Yang, X., Liu, C., Wu, J., ...& Diao, H. (2017). Kinematics of variable-amplitude screen and analysis of particle behavior during the process of coal screening. Powder Technology, 306, 88-95
[12]. López-Campos, M. A., & Márquez, A. C. (2018). A maintenance management framework based on PAS 55. In Advanced Maintenance Modelling for Asset Management (pp. 17-41). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-58045-6_2
[13]. Matheus, R., Janssen, M., & Maheshwari, D. (2018). Data science empowering the public: Data-driven dashboards for transparent and accountable decisionmaking in smart cities. Government Information Quarterly, 37(3), 1-9. https://doi.org/10.1016/j.giq.2018.01.006
[14]. Melani, A. H. A., Murad, C. A., Netto, A. C., de Souza, G. F. M., & Nabeta, S. I. (2018). Criticality-based maintenance of a coal-fired power plant. Energy, 147, 767-781. https://doi.org/10.1016/j.energy.2018.01.048
[15]. Mnoharan, P., Dennsion, M. S., Ganesan, V., & Palanisamy, S. (2019). Reliability enhancement of steel rolling mill using fault tree analysis. UPB Scientific Bulletin Series D: Mechanical Engineering, 81(1), 165-178.
[16]. Moradi, S., Vahidinasab, V., Kia, M., & Dehghanian, P. (2019). A mathematical framework for reliability-centered maintenance in microgrids. International Transactions on Electrical Energy Systems, 29(1). https://doi.org/10. 1002/etep.2691
[17]. Niu, G., Yang, B. S.,& Pecht, M. (2010). Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance. Reliability Engineering & System Safety, 95(7), 786-796.
[18]. Rahmati, S. H. A., Ahmadi, A., & Karimi, B. (2018). Multiobjective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem. Swarm and Evolutionary Computation, 40, 255-271.
[19]. Tang, Y., Liu, Q., Jing, J., Yang, Y., & Zou, Z. (2017). A framework for identification of maintenance significant items in reliability centered maintenance. Energy, 118, 1295-1303. https://doi.org/10.1016/j.energy.2016.11.011
[20]. Vishnu, C. R., & Regikumar, V. (2016). Reliability based maintenance strategy selection in process plants: A case study. Procedia Technology, 25, 1080-1087.
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