{"title":"Numerical simulation of a non-linear sublimation process with temperature-dependent permeability and volumetric heat source: A phase change problem","authors":"Vikas Chaurasiya","doi":"10.1016/j.camwa.2024.09.005","DOIUrl":null,"url":null,"abstract":"<div><p>Conventional freeze-drying takes a long drying time and makes the process expensive. High-quality biological materials, medicine, and vaccines may not find easy acceptance with this technology. To overcome the operative time, several engineering innovations are carried out. A long drying time during freeze-drying can be minimized by accelerating the sublimation rate. Obtaining a fast drying rate without harming the material properties is the prime focus of the accelerated freeze-drying (<em>AFD</em>) like-techniques. In connection with this, the study of temperature-dependent thermal-physical properties of the medium during sublimation is considered in this study. For example, a temperature-dependent volumetric heat source is assumed within the vapor region. An increase in the temperature field results in higher pressure. Therefore, a temperature-dependent specific heat of vapor pressure is also accounted for. Furthermore, the permeability of the medium and the specific heat of the water vapor are also assumed to be temperature-dependent. Exploring realistic theoretical models with variable-dependent characteristics and convection is essential since the experimental investigation of sublimation in a porous media may be challenging. Despite the previous available studies on sublimation heat and mass transfer, there is still a lack of mathematical modeling of this particular problem. To solve this non-linear sublimation problem, the Genocchi operational matrix of differentiation method (<span><math><mi>G</mi><mi>O</mi><mi>M</mi><mi>O</mi><mi>D</mi></math></span>) method is employed to obtain the numerical results. In case of full non-linear model, results obtained via current numerical technique are verified with finite-difference method (<em>FDM</em>). Furthermore, in a particular case, the accuracy test of the <span><math><mi>G</mi><mi>O</mi><mi>M</mi><mi>O</mi><mi>D</mi></math></span> method against <em>FDM</em> is presented, and it is found that the current numerical technique is more accurate than <em>FDM</em>. In the current study, it is found that a temperature-dependent heat source offers a faster sublimation rate than a constant one. Similarly, temperature-dependent specific heat of vapor pressure accelerates the pressure distribution within the sublimated region. With temperature-dependent permeability, the concentration distribution within the medium decreases. Moreover, the temperature-dependent specific heat of water vapor delayed the sublimation rate. Results found from this study are expected to aid in AFD techniques, food industry and pharmaceuticals.</p></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122124004140","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Conventional freeze-drying takes a long drying time and makes the process expensive. High-quality biological materials, medicine, and vaccines may not find easy acceptance with this technology. To overcome the operative time, several engineering innovations are carried out. A long drying time during freeze-drying can be minimized by accelerating the sublimation rate. Obtaining a fast drying rate without harming the material properties is the prime focus of the accelerated freeze-drying (AFD) like-techniques. In connection with this, the study of temperature-dependent thermal-physical properties of the medium during sublimation is considered in this study. For example, a temperature-dependent volumetric heat source is assumed within the vapor region. An increase in the temperature field results in higher pressure. Therefore, a temperature-dependent specific heat of vapor pressure is also accounted for. Furthermore, the permeability of the medium and the specific heat of the water vapor are also assumed to be temperature-dependent. Exploring realistic theoretical models with variable-dependent characteristics and convection is essential since the experimental investigation of sublimation in a porous media may be challenging. Despite the previous available studies on sublimation heat and mass transfer, there is still a lack of mathematical modeling of this particular problem. To solve this non-linear sublimation problem, the Genocchi operational matrix of differentiation method () method is employed to obtain the numerical results. In case of full non-linear model, results obtained via current numerical technique are verified with finite-difference method (FDM). Furthermore, in a particular case, the accuracy test of the method against FDM is presented, and it is found that the current numerical technique is more accurate than FDM. In the current study, it is found that a temperature-dependent heat source offers a faster sublimation rate than a constant one. Similarly, temperature-dependent specific heat of vapor pressure accelerates the pressure distribution within the sublimated region. With temperature-dependent permeability, the concentration distribution within the medium decreases. Moreover, the temperature-dependent specific heat of water vapor delayed the sublimation rate. Results found from this study are expected to aid in AFD techniques, food industry and pharmaceuticals.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).