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CSME 2019/10
Volume 40 No.5
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547-553
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Optimization of Process Parameters of Adsorption Process in Solid Desiccant Dehumidification System Using Genetic Algorithm
Sureshkannan Venkatachalam a and Arjunan Thottipalayam Vellingri a
aDepartment of Mechanical Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore – 641 109, INDIA.
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Abstract:
Air dehumidification using desiccants is an important unit operation in drying heat sensitive products like herbs to enhance the preservation properties close to fresh condition after drying. In this present study, an attempt is made to optimize the process parameters on the adsorption rate in the packed bed solid desiccant dehumidifier using molecular sieve 13X desiccant by using Taguchi method. An experimental setup is developed with a filter, flow regulator, on line and off line towers for adsorption and desorption and flow control valve. The effect of process air entry pressure at adsorption tower, desiccant mass and purge air flow rate for desorption tower are studied to evaluate the adsorption performance. A special design of orthogonal arrays obtained in Taguchi’s method is used for the experimentation to study all the parameters with minimum number of experiments. MATLAB genetic algorithm is employed to enhance the parametric optimisation. Statistical results show that the process air entry pressure at adsorber entry is the most influencing parameter compared to desiccant mass, and purge air flow rate for desorption tower for the dehumidification system. The predicted value of response by both the tools is very close to each other, and the fitness function can be taken as the basis for the design of dehumidification system.
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Keywords: air dehumidification, molecular sieve 13X, optimization, genetic algorithm
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©
2019
CSME , ISSN 0257-9731
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