Pertanika Journal of Science & Technology
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Pertanika ยท Universiti Putra Malaysia Press

Pertanika Journal of Science & Technology

Official journal of Universiti Putra Malaysia for scholarly work across science, engineering and related technologies.

e-ISSN 2231-8526 ISSN 0128-7680
Research article

Mathematical Modeling and Availability Analysis of Leaf Spring Manufacturing Plant

Sohan Lal Tyagi, Shikha Bansal, Priyanka Agarwal and Ajay Singh Yadav

https://doi.org/10.47836/pjst.29.2.18
KeywordsAvailability, failure rate, leaf spring, matrix method
Article content

Abstract

In this manuscript, we portray the composition and availability analysis of leaf spring. In wheeled vehicles for the suspension, an elementary form of spring i.e. leaf spring is usually utilized. Particularly in industrial vehicles, Leaf springs are one of the widely recognized suspension segments they are frequently used. A method is presented that tests the availability of each part involved in the system as well as the system as a whole. Besides, the analysis demonstrates an optimization model that helps to boost the availability of the leaf spring production plant system. The system is divided into different subsystems considering various phases in the production of leaf spring. The framework of this system consists of four components i.e. shearing, punching, heating, and assembling. Using the Markov birth-death strategy we established the mathematical model of the plant. The matrix method is applied to simplify the differential equations and C programming survey the fluctuation of availability related to time. The numerical results for the different framework are given which are effective to enhance the maintenance policy of the system.
Supporting literature

References

  1. Agarwal, S. C., & Bansal, S. (2009). Reliability analysis of a standby redundant complex system with changing environment under head of line repair discipline. Bulletin of pure and applied sciences, 28(1), 165-173.
  2. Aggarwal, A. K., Kumar, S., Singh, V., & Garg, T. K. (2015). Markov modeling and reliability analysis of urea synthesis system of a fertilizer plant. Journal of Industrial Engineering International, 11, 1-14. https://doi:10.1007/s40092-014-0091-5
  3. Bansal, S., & Tyagi, S. (2018). Reliability analysis of screw manufacturing plant using orthogonal matrix method. Pertanika Journal of Science & Technology, 26(4), 1789-1800.
  4. Garg, S., Singh, J., & Singh, D. V. (2010). Availability and maintenance scheduling of a repairable block-board manufacturing system. International Journal of Reliability and Safety, 4(1), 104-118. https://doi:10.1504/IJRS.2010.029567
  5. Gupta, R., Ekata, & Batra, C. M. (2019). Estimate reliability parameters in bio fuel plant using neural network architecture. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(11), 440-445. https://doi: 10.35940/ijitee.K1392.0981119
  6. Jain, M., Kumar, R. M., & Kumar, P. (2020). Maintainability of redundant machining system with vacation, imperfect recovery and reboot delay. Arabian Journal for Science and Engineering, 45, 2145-2161. https://doi.org/10.1007/s13369-019-04060-w
  7. Jain, M., Sharma, G. C., & Baghel, K. P. S. (2004). N policy for M/G/1 machine repair model with mixed standby components, degraded failure and Bernoulli feedback. International Journal of Engineering, 17(3), 279-288.
  8. Kumar, D., Singh J., & Pandey, P. C. (1989). Availability of a washing system in the paper industry. Microelectronics Reliability, 29(5), 775-778. https://doi:10.1016/0026-2714(89)90177-7
  9. Kumar, R., & Kadyan, M. S. (2018). Reliability modelling and study of failure mechanism of distillery plant using supplementary variable technique. Life Cycle Reliability and Safety Engineering ,7, 137-146. https://doi.org/10.1007/s41872-018-0053-9
  10. Kumar, S., & Reddy, B. C. (2017). Modelling and structural analysis of leaf spring using finite element method. International Research Journal of Engineering and Technology, 4(12),1155-1161.
  11. Mangey, R., & Manglik, M. (2016). An analysis to multi-state manufacturing system with common cause failure and waiting repair strategy. Cogent Engineering, 3, 1-20. https://doi.org/10.1080/23311916.2016.1266185
  12. Mehta, M., Singh, J., & Singh, M. (2017). Reliability and availability evaluation of a series-parallel system subject to random failure. Indian Journal of Science and Technology, 10(31), 1-11. https://doi: 10.17485/ijst/2017/v10i31/116145
  13. Shakuntla, S., Lal, A. K., Bhatia, S. S., & Singh, J. (2011). Reliability analysis of polytube industry using supplementary variable technique. Applied Mathematics and Computation, 218(8), 3981-3992. https://doi:org/10.1016/j.amc.2011.10.016
  14. Singh, J., & Mahajan, P. (1999). Reliability of utensils manufacturing plant - A case study. Opsearch, 36(3), 260-269. https://doi.org/10.1007/BF03398580
  15. Venkatesan, M., & Devaraj, H. D. (2012). Design and analysis of composite leaf spring in light vehicle. International Journal of Modern Engineering Research, 2(1), 213-218.
  16. Yadav, O P., Choudhary, N., & Bilen, N. (2008). Complex system reliability estimation methodology in the absence of failure data. Quality and Reliability Engineering International, 24, 745-764. https://doi.org/10.1002/qre.920