Identification of the potato moisture diffusion coefficient considering shrinkage: a nonlinear estimator approach to an inverse problem

Author:

Vera Carlos Martínez,Mendoza Mario VizcarraORCID

Abstract

AbstractThis study aimed to determine the moisture diffusion coefficients of potatoes by taking into account the shrinkage that occurs during the drying process. In addition, the study also considered the scenario where shrinkage was neglected for comparison purposes. The main objective of this study is to establish the importance of considering shrinking phenomena for proper modeling of the drying process and to highlight the advantages of a recently published methodology for estimating parameters. The potato samples, which were dried in a moisture balance, were prepared such that the moisture diffusion was unidimensional. The determination of the moisture diffusivity when shrinkage is neglected is based on the analytical solution of the diffusion equation when constant diffusivity is assumed. When shrinkage is considered, the diffusion coefficient is identified via a nonlinear estimator constructed based on a numerical solution to the diffusion equation. The shrinking rate and the drying kinetics are the information fed to the algorithm. Arrhenius-type expressions for the dependency of the diffusivity on temperature were obtained, and from them, activation energies were determined for both cases: considering and neglecting shrinkage. From the comparison of the effective diffusion coefficients obtained, we conclude that when shrinkage is neglected, the diffusion coefficients are underestimated. A model for the diffusion coefficient as a function of temperature and concentration is provided.

Funder

Universidad Autonoma Metropolitana

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3