Parabolic PDE and FEM Analysis of Layer Resolved Moisture Diffusion in Wheat Kernels

A multilayer diffusion framework is formulated and numerically analyzed to simulate moisture transport in heterogeneous biological media using the example of wheat kernels. The process is modeled by a system of parabolic partial differential equations (PDEs) with continuity of concentration and flux across bran, endosperm, and germ interfaces. Each subdomain is characterized by a distinct effective diffusivity, forming a three-domain composite model solved with the finite element method (FEM). The computational domain was implemented in COMSOL Multiphysics under isothermal conditions with prescribed boundary concentration. Numerical results yield spatial temporal concentration fields, layer-resolved uptake curves, and characteristic diffusion times ( $${t_{50}},{t_{95}}$$ ). The model demonstrates the dominance of endosperm diffusivity in determining overall moisture equilibration and reveals scaling relations between kernel geometry and hydration kinetics. The proposed PDE-FEM framework transforms an empirical technological operation into a quantitative predictive tool, providing a reproducible methodology for simulating coupled mass transfer processes in multiphase porous structures. The formulation and solution strategy are general and applicable to a wide class of diffusion-driven phenomena in materials and process engineering.

Authors

Institutions

Publication Details

Journal
Mathematical Models and Computer Simulations
Published
2025-12-01
DOI
https://doi.org/10.1134/s2070048225700644
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parabolic PDE and FEM Analysis of Layer Resolved Moisture Diffusion in Wheat Kernels

Abdushukur Urinboev, Bakhtiyar Ismailov, Khairulla Ismailov
Mathematical Models and Computer Simulations
Food Drying and Modeling
article

Parabolic PDE and FEM Analysis of Layer Resolved Moisture Diffusion in Wheat Kernels

Abdushukur Urinboev, Bakhtiyar Ismailov, Khairulla Ismailov
article en

Abstract

A multilayer diffusion framework is formulated and numerically analyzed to simulate moisture transport in heterogeneous biological media using the example of wheat kernels. The process is modeled by a system of parabolic partial differential equations (PDEs) with continuity of concentration and flux across bran, endosperm, and germ interfaces. Each subdomain is characterized by a distinct effective diffusivity, forming a three-domain composite model solved with the finite element method (FEM). The computational domain was implemented in COMSOL Multiphysics under isothermal conditions with prescribed boundary concentration. Numerical results yield spatial temporal concentration fields, layer-resolved uptake curves, and characteristic diffusion times ( $${t_{50}},{t_{95}}$$ ). The model demonstrates the dominance of endosperm diffusivity in determining overall moisture equilibration and reveals scaling relations between kernel geometry and hydration kinetics. The proposed PDE-FEM framework transforms an empirical technological operation into a quantitative predictive tool, providing a reproducible methodology for simulating coupled mass transfer processes in multiphase porous structures. The formulation and solution strategy are general and applicable to a wide class of diffusion-driven phenomena in materials and process engineering.

Mathematical Models and Computer SimulationsVol. 17(S1)
Ferghana Polytechnical Institute (UZ), Ferghana State University (UZ), M.Auezov South Kazakhstan State University (KZ)
Openalex Percentile: Top 28%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.