Performance enhancement for crystallization unit of a sugar plant using genetic algorithm technique (original) (raw)
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The availability analysis of the crystallization system in a sugar plant is explored in the present paper. There are various subsystem which are complex in nature and are repairable.. In a sugar plant, there are (i) feeding system (ii) refining system (iii) evaporation system (iv) crystallization system. One of the important systems is crystallization system. The crystallization system includes crystallization units, centrifugal pump and Sugar grader unit. If anyone of these units fails, overall refining system fails. The mathematical modeling is used for analyzing the availability. The differential equations of first order are developed. Normalizing conditions are applied to find out steady state availability and the equations are resolved. This result is helpful for analyzing availability and for determining maintenance approaches of sugar industry.
MATHEMATICAL MODELING AND AVAILABILITY ANALYSIS OF A CRYSTALLIZATION SYSTEM USING MARKOV PROCESS
This paper deals with the mathematical modeling and availability analysis of crystallization system of a sugar plant. The crystallization system of sugar plant consists of three subsystems with three possible states: full working, reduced capacity working and failure. Failure and Repair rates for all the subsystems are assumed to be constant. Formulation of the problem is carried out using Markov Birth-Death process using probabilistic approach and a transition diagram represents the operational behavior of the system. Interrelationship among the full working and reduced working states has been developed. A probabilistic model has been developed, considering some assumptions. Data in feasible range has been selected from a survey of sugar plant and the effect of each subsystem on the system availability is tabulated in the form of availability matrices, which provides various availability levels for different combinations of failure and repair rates of all subsystems.
Mathematical Modelling and Availability Optimization of feeding system in a sugar plant
—The paper discusses the availability analysis of feeding system of sugar industry. It comprises of various subsystems so it is a complex and repairable system. It includes feeding system, crushing system, and steam generation, refining system, evaporation system and crystallization. One of the main parts of a sugar industry is feeding system. The supply system of sugar cane comprises of chain conveyor, choppers, chain conveyors and crushing system. If one unit fails, the failure of feeding system takes place. The mathematical formulation based on Markov birth-death process using probabilistic approach will be used to develop a performance evaluation model to analyze the availability. The first order differential equations are developed to serve purpose. The equations are solved by using normalizing conditions to determine steady state availability. The quantitative analysis of courses of actions and states of nature is dealt. This paper's result is useful in analysis of availability and determining maintenance strategies in sugar industry.
Performance Optimization for Skim Milk Powder Unit of a Dairy Plant Using Genetic Algorithm
International Journal of Engineering, 2012
The paper deals with the performance optimization for skim milk powder unit of a dairy plant at National Dairy Research Institute (N. D. R. I.), Karnal using Genetic Algorithm (G. A.). The skim milk powder unit comprises of six subsystems working in series. The failure and repair rates of the subsystems are taken from maintenance history sheets, which follow the exponential distribution. The mathematical formulation is carried out using probabilistic approach and the Markov birth-death process is used to develop the difference differential equations. The steady state availability expression has been derived using normalizing conditions. The optimal values of failure/repair rates of each subsystem of the skim milk powder unit have been evaluated using Matlab 7.1 G. A. tool. The steady state availability obtained from Markov analysis is also compared with the optimal availability calculated through G. A. tool. So, the findings of the present paper will be highly useful to the plant management for developing proper maintenance strategies which can be implemented in order to enhance system performance.
Maintenance priorities determination for a repairable unit of a sugar plant
Journal of Physics: Conference Series, 2019
In the present study, a repairable unit of a sugar plant has been considered to determine the maintenance priorities of various subsystems of the unit. The selected repairable unit is crushing unit and it comprises of crusher, inter carrier and pump subsystems. Performance modeling of the unit is based on Markov approach. From the transition diagram of the unit, Chapman-Kolmogorov differential equations are derived. The equations are then solved to get the availability in steady state. It is assumed that all subsystems have constant rates of failure and repair. After that, development of decision matrices has been done for all subsystems. For various permutations of failure rates as well as repair rates, these decision matrices present different levels of availability for all the subsystems. On the basis of various values of availabilities and the graphs of failure and repair rates of subsystems, the optimum values of failure and repair rates are selected for maximum availability of...
Availability Analysis of Refining System of a Sugar Plant Using Markov Process
The paper discusses the availability optimization of refining system of sugar plant. It is a repairable and complex system as there are various subsystems involved in it. It includes feeding system, refining system, evaporation system and crystallization system. One of the main parts of a sugar industry is refining system. The refining system includes filter units, clarifier units. Sulphonation units and heating units. If one unit fails, refining system failure takes place. The mathematical modelling using probabilistic approach based on Markov birth-death process is used to analyze the availability. To fulfill this purpose, the first order differential equations are developed. By using normalizing conditions to determine steady state availability, these equations are solved. The result of this paper is useful to analyze the availability and to determine various maintenance strategies in sugar plant.
PERFORMANCE EVALUATION & AVAILABILITY ANALYSIS OF FEEDING SYSTEM IN A SUGAR INDUSTRY
This paper discusses the performance evaluation and availability analysis of feeding system of a sugar plant. The sugar industry is a complex and repairable engineering system comprises of various units viz. feeding, crushing, evaporation, refining and crystallization etc. One of the most important functionaries of a sugar industry is feeding system. This system consists of four subsystems arranged in series configuration. For the evaluation of performance and analysis of availability, a performance evaluating model has been developed with the help of mathematical formulation based on Markov Birth-Death process using probabilistic approach. The findings of this paper are therefore, considered to be useful for the analysis of availability and determination of best possible maintenance strategies in a sugar industry concerned.
DEVELOPMENT OF DECISION SUPPORT SYSTEM FOR FEEDING UNIT OF A SUGAR INDUSTRY
This paper deals with the development of decision support system for Feeding unit of a sugar industry using Markov technique and probabilistic approach. The Feeding unit of a sugar industry has four main subsystems arranged in series. Considering exponential distribution for the probable failures and repairs, the mathematical formulation of the problem is done using probabilistic approach and differential equations are developed on the basis of Markov birth-death process. These equations are then solved using normalizing conditions so as to determine the steady-state availability of the Feeding unit of a sugar industry. Decision Support System is then developed to decide about the maintenance priorities among various subsystems of a Feeding unit of the sugar industry concerned.