Modelling and Comparative Assessment of Two Reliability Models of a Clinker Manufacturing System Working in Cement Plants

doi:10.23940/ijpe.24.01.p3.1823

Int J Performability Eng ›› 2024, Vol. 20 ›› Issue (1): 18-23.doi: 10.23940/ijpe.24.01.p3.1823

Previous Articles Next Articles

Modelling and Comparative Assessment of Two Reliability Models of a Clinker Manufacturing System Working in Cement Plants

Ritu Gupta^*

Department of Applied Science and Humanities, Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi, India

Submitted on ; Revised on ; Accepted on
Contact: * E-mail address: [email protected]

Abstract

Abstract: Cement is a basic material for all types of construction. This paper deals with the probabilistic assessment of two reliability models of a clinker manufacturing system running in cement plants consisting of three components: crusher, roller mill and rotary kiln. The maintenance and rest are turned on over the span of no demand. Preventive/corrective maintenance and general checking is also done randomly for the system. The failure rate, repair rate and cost for repair/replacement have been calculated from the data referred from Shree Cement Ltd., Khushkhera, Rajasthan, India. The factors of system effectiveness including the profit incurred to the system are obtained using semi-Markov processes and regenerative point technique. Various results useful to cement industries are interpreted graphically. Furthermore, the outcomes of this study can be helpful to different cement plants by upgrading the components’ efficiency and planning for reliability increase.

Key words: clinker manufacturing system, regenerative process, probabilistic assessment, roller mill, rotary kiln

Ritu Gupta. Modelling and Comparative Assessment of Two Reliability Models of a Clinker Manufacturing System Working in Cement Plants [J]. Int J Performability Eng, 2024, 20(1): 18-23.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References

[1] Bieth B., Hong L., andSarkar J.A Standby System with Two Repair Persons under Arbitrary Life-and Repair Times. Mathematical and computer modelling, vol.51, no. 5-6, pp. 756-767, 2010.
[2] Mokaddis G.S., Khalil G.S., andAlhajri H.Analysis of Two Dissimilar - Unit Cold Standby Redundant System Subject to Inspection and Two Types of Repair. International Journal of Modern Engineering Research, vol. 6, no.5, pp. 38-54, 2016.
[3] Aggarwal, K.K. and Aggarwal, K.K.Maintainability and Availability. Reliability Engineering, pp. 153-177, 1993.
[4] El-Said, K.M. and El-Sherbeny, M.S. Stochastic Analysis of a Two-Unit Cold Standby System with Two-Stage Repair and Waiting Time. Sankhya B, vol. 72, pp. 1-10, 2010.
[5] Sadeghi, M. and Roghanian, E.Reliability Analysis of a Warm Standby Repairable System with Two Cases of Imperfect Switching Mechanism. Scientia Iranica, vol. 24, no. 2, pp. 808-822, 2017.
[6] Kadyan, S. and Malik, S.C.Stochastic Analysis of a Three-Unit Non-Identical Repairable System with Simultaneous Working of Cold Standby Units. Journal of Reliability and Statistical Studies, pp. 385-400, 2020.
[7] Taj S.Z., Rizwan S.M., Alkali B.M., Harrison D.K., andTaneja G.Performance Analysis of a Rod Breakdown System. International Journal of Engineering and Technology, vol.7, no. 3.4, pp. 243-248, 2018.
[8] Ma X., Liu B., Yang L., Peng R., andZhang X.Reliability Analysis and Condition-Based Maintenance Optimization for a Warm Standby Cooling System. Reliability Engineering & System Safety, vol. 193, pp. 106588, 2020.
[9] Zhang X.Reliability Analysis of a Cold Standby Repairable System with Repairman Extra Work. Journal of systems science and complexity, vol. 28, pp. 1015-1032, 2015.
[10] Gupta R.Fault Tree Analysis of the Reliability of Electric Vehicles in India. Journal of Applied Mathematics and Physics, vol. 11, no. 7, pp. 1930-1944, 2023.
[11] Li, H. and Soares, C.G.Assessment of Failure Rates and Reliability of Floating Offshore Wind Turbines. Reliability Engineering & System Safety, vol. 228, pp. 108777, 2022.
[12] Guo H., Watson S., Tavner P., andXiang J.Reliability Analysis for Wind Turbines with Incomplete Failure Data Collected from After the Date of Initial Installation. Reliability Engineering & System Safety, vol. 94, no. 6, pp. 1057-1063, 2009.
[13] Mathew A.G., Rizwan S.M., Majumder M.C., andRamachandran K.P.Reliability Modelling and Analysis of a Two Unit Continuous Casting Plant. Journal of the Franklin Institute, vol. 348, no. 7, pp. 1488-1505, 2011.
[14] Gupta, R. and Taneja, G.A Reliability Model on a Cement Grinding System with Failure in Its Nine Components. Arya Bhatta Journal of Mathematics and Informatics, vol. 6, no. 2, pp. 239-246, 2014.
[15] Gupta, R. and Srivastava, A.Reliability Modelling and Profit Analysis of a Cement Grinding System with Rest/Maintenance in Case of No Demand.

Modelling and Comparative Assessment of Two Reliability Models of a Clinker Manufacturing System Working in Cement Plants

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended 0

[1]	Weihua Wei, You Peng, Liquan Du, and Yaning Cai. Design and Mechanical Behavior Analysis of Two-Stall Cement Rotary Kiln Cylinder [J]. Int J Performability Eng, 2020, 16(6): 883-895.
[2]	Weihua Wei, Haipeng Yu, Hongwei Zhu and Yaning Cai. Optimal Design and Force Analysis for Key Components of Vertical Roller Mill [J]. Int J Performability Eng, 2020, 16(11): 1698-1707.