Author:
Tyagi Sohan Lal,Bansal Shikha,Agarwal Priyanka,Yadav Ajay Singh
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.
Publisher
Universiti Putra Malaysia
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference16 articles.
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
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of Reliability Factor For Multi-State Computer System With Neural Network Approach;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29
2. Performance of Reliability Factors in Steam Turbine Generator Power Plant Using Boolean Function Technique and Neural Network Approach;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19