DocumentCode
2223884
Title
Reliability and availability of a continuous casting plant
Author
Rizwan, S.M. ; Mathew, A.G. ; Majumder, M.C. ; Ramchandran, K.P.
Author_Institution
Dept. of Math. & Stat., Caledonian Coll. of Eng., Oman
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
541
Lastpage
544
Abstract
The continuous casting (CC) technique accounts for more than 60% of total liquid steel in the world. The main advantages of steel processing through the CC route are higher yield, lower energy consumption, elimination of primary mills. Since the CC plant is an integral part of most steel plants, therefore, the need for failure analysis of such a system wherein a CC plant is operating round the clock. The real data of a CC plant for four equipments viz. ladle handling crane 01, 02 and billet handling crane 01, 02 have been used for the purpose. Any one equipment failure brings the CC plant to a complete halt and stops the production. The critical equipment fails due to any one of the five types of failure as categorized in the data. The paper outlines the modeling strategy embedded by the types of failures actually depicted into data and important reliability indices such as the mean time to system failure and steady state availability are obtained using semi-Markov processes and regenerative point techniques. Graphs are essentially established to interpret the results.
Keywords
Markov processes; casting; graph theory; reliability; steel industry; continuous casting plant reliability; energy consumption; graphs; liquid steel; primary mill elimination; regenerative point techniques; semiMarkov processes; steel processing; Availability; Billets; Casting; Clocks; Cranes; Energy consumption; Equipment failure; Failure analysis; Milling machines; Steel; Continuous Casting (CC); breakdown; regenerative processes; repairs; semi - markov;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-2629-4
Electronic_ISBN
978-1-4244-2630-0
Type
conf
DOI
10.1109/IEEM.2008.4737927
Filename
4737927
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