Method for Determining the Appropriate Thin Layer Drying Model for a Feedstock
Abhishek Dasore1, Ramakrishna Konijeti2, Naveen Puppala3
1Abhishek Dasore*, Research Scholar, Department of Mechanical Engineering, K L E F, Guntur, India.
2Ramakrishna Konijeti, Professor, Mechanical Engineering Department, K L E F, Guntur, India.
3Naveen Puppala, Agricultural Science Centre at Clovis, College of Agricultural, Consumer and Environmental Sciences, NMSU, New Mexico, USA.
Manuscript received on 06 August 2019. | Revised Manuscript received on 14 August 2019. | Manuscript published on 30 September 2019. | PP: 3627-3632 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5335098319/2019©BEIESP | DOI: 10.35940/ijrte.C5335.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In practice, drying is one of the most common food preservation technique. At microscopic level, drying is not merely a moisture removal process and it involves complex heat and mass transport phenomena and depends on material properties. So mathematical models in drying are important for process design, optimization and energy integration. Therefore, in the present study, first theory of drying is elucidated concisely. Further, general modelling approaches and commonly used thin layer drying equations are presented. Later, method for evaluation of appropriate thin layer drying model for a feedstock is explained. Effective moisture diffusion coefficient (Deff) and activation energy (Ea) calculations methods are also presented.
Keywords: Drying kinetics, Thin-layer Drying Modelling, Statistical Techniques, Effective Moisture Diffusivity, Activation Energy.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques