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  • Open Access

    ARTICLE

    Optimization of Dimensional Factors Using AI Technique Affecting Solar Dryer Efficiency for Drying Agricultural Materials

    Ravendra Kumar Ray*, A.C. Tiwari

    CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 845-860, 2025, DOI:10.32604/cmc.2025.059435 - 26 March 2025

    Abstract The design and development of solar dryers are crucial in regions with abundant solar energy, such as Bhopal, India, where seasonal variations significantly impact the efficiency of drying processes. The paper is focused on employing a comprehensive mathematical model to predict the dryer’s performance in drying the materials such as banana slices. To enhance this model, Hyper Tuned Swarm Optimization with Gradient Tree (HT_SOGT) was utilized to accurately predict and determine the optimal size of the dryer dimensions considering various mathematical calculations for material drying. The predictive model considered the influence of seasonal fluctuations, ensuring More >

  • Open Access

    REVIEW

    Industrial and Small-Scale Biomass Dryers: An Overview

    P. Murugan1, S. Dhanushkodi2,*, K. Sudhakar3,4,*, Vincent H. Wilson5

    Energy Engineering, Vol.118, No.3, pp. 435-446, 2021, DOI:10.32604/EE.2021.013491 - 22 March 2021

    Abstract The quality of the drying process depends mainly on the efficient use of thermal energy. Sustainable systems based on solar energy takes a leading role in the drying of agro-products because of low operating cost. However, they are limited in use during off–sun periods. Biomass dryer is one of the simplest ways of drying because of its potential to dry products regardless of time and climate conditions. The other benefit is that crop residues could be used as fuel in these systems. However, the major limitation of the dryer is unequal drying because of poor More >

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