Performance Analysis and Optimization of Crystallization System of A Sugar Plant Using Genetic Algorithm (original) (raw)

Performance enhancement for crystallization unit of a sugar plant using genetic algorithm technique

Journal of Industrial Engineering International, 2012

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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.

Steady state modeling and simulation of an industrial sugar continuous crystallizer

Computers & Chemical Engineering, 2001

The profile of supersaturation along a continuous crystallizer of sugar factories, is the decisive factor that determines the performance of this apparatus. In order to control this profile, a mathematical model was developed taking into account the main physicochemical phenomena involved in crystallization process. The model is based on flow pattern, which was assumed and validated against plant measurements using a tracer test. The steady state mathematical model developed describes the most important aspects of the crystallizer behavior in each compartment: supersaturation, crystal size distribution and flow rate of the product crystals. The model can also describe the undesirable behavior such as dissolution and nucleation. Validation of the developed model was performed using industrial data. A parametric sensitivity study confirmed that the syrup supply distribution is the main variable that should be manipulated to achieve good performance for the crystallizer.

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.

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...

Performance Modeling and Availability Analysis of Cane Juice Extraction System of A Sugar Industry

2016

This paper discusses the performance modeling and availability analysis of Cane Juice Extraction System of Sugar Industry. The Sugar Industry is a complex and repairable engineering system. Cane Juice Extraction System of Sugar Industry consist of five subsystems arranged in series configuration. The failure and repair rates of each subsystems are assumed to be constant. For performance modeling and analysis of availability, a performance evaluating model has been developed with the help of mathematical formulation based on Markov Modeling. The differential equations have been developed on the basis of Probabilistic Approach using a Transition diagram. These equations have further been solved using normalizing condition in order to develop the steady state availability, a performance measure of the system concerned. The effect of repair rate on most vulnerable items of the system is examined to realize the highest level of performance. Increase in availability of system confers many...