Study of Continuous Casting Plant Using Regenerative Point Technique

Abstract

The whole range of our work reported in this dissertation is covered into four chapters which are described as: Chapter I: A review of literature pertaining to the theory of reliability and modelling is given in this chapter. This also includes some basic concepts such as probability distributions, stochastic process, profit function, etc. Chapter II: This chapter has been designed with a view to study reliability modelling and analysis of single unit Continuous Casting (CC) Plant. It suggests a modelling strategy of CC plant. The operative unit is subject to transit to any of the failed states depending on the type of failure/breakdown. The failed unit is attended by the repairman as soon as it fails. The system regenerates and works like a new one after each repair, replacement or reconditioning and reinstallation. This chapter outlines the modelling 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. Chapter III. In this chapter, we study reliability modelling and analysis of a two unit Continuous Casting plant. There are systems wherein the two-units are operating in parallel with full-reduced installed capacity and the concept of inspection is used to identify the type of failure. There is a single server who comes immediately at the complete failure of the unit for doing its repair. Various Reliability characteristic such as Reliability, Mean Time to System Failure(MTSF), Steady State Availability, Busy Period Analysis, Expected number of visits by server are obtained and finally the profit function is determine by using Semi-Markov process and Regenerative point technique. Chapter IV. In this chapter, we discuss the finding of chapter – II and chapter – III.