Finite element modelling and MRI validation of 3D transient water profiles in pears during postharvest storage

被引:46
|
作者
Nguyen, TA
Dresselaers, T
Verboven, P
D'hallewin, G
Culeddu, N
Van Hecke, P
Nicolaï, BM
机构
[1] Katholieke Univ Leuven, Lab Flanders Ctr Postharvest Technol, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Biomed NMR Unit, B-3000 Louvain, Belgium
[3] CNR, ISPA, Sez Sassari, I-07100 Sassari, Italy
[4] CNR, ICB, I-07100 Sassari, Italy
关键词
MRI; pear; diffusion; simulation; model; mesoscale;
D O I
10.1002/jsfa.2408
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
A diffusion model based on Fick's second law was used to simulate water transport in pear fruit at various conditions (20 degrees C and 75% RH; VC and 60% RH). The finite element method was used to discretise the governing differential equations over the actual 3D pear geometry. For the first time, water transport in Conference pear fruits was described at the mesoscale level by incorporating different tissues (cuticle, inner and outer cortex) with different diffusion properties. The validated model explained water transport well as validated through nuclear magnetic resonance imaging techniques and was able to predict mass loss of intact pear during postharvest conditions. It was noticed that, at high temperature conditions, the model can be improved further by taking into account respiration and shrinkage effects. (c) 2006 Society of Chemical Industry.
引用
收藏
页码:745 / 756
页数:12
相关论文
共 50 条
  • [41] A new heat transfer analysis in machining based on two steps of 3D finite element modelling and experimental validation
    B. Haddag
    T. Kagnaya
    M. Nouari
    T. Cutard
    Heat and Mass Transfer, 2013, 49 : 129 - 145
  • [42] Finite element modelling of 3D printed continuous carbon fiber composites: Embedded elements technique and experimental validation
    Avanzini, A.
    Battini, D.
    Giorleo, L.
    COMPOSITE STRUCTURES, 2022, 292
  • [43] 3D finite element modelling of force transmission and particle fracture of sand
    Imseeh, Wadi H.
    Alshibli, Khalid A.
    COMPUTERS AND GEOTECHNICS, 2018, 94 : 184 - 195
  • [44] Finite element approach to modelling evolution of 3D shape memory materials
    Mahapatra, D. Roy
    Melnik, R. V. N.
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2007, 76 (1-3) : 141 - 148
  • [45] Finite element modelling and analysis of bolted joints of 3D tubular structures
    Vigh, LG
    Dunai, L
    COMPUTERS & STRUCTURES, 2004, 82 (23-26) : 2173 - 2187
  • [46] 3D finite element modelling optimization for deep tunnels with material nonlinearity
    Vitali, Osvaldo P. M.
    Celestino, Tarcisio B.
    Bobet, Antonio
    UNDERGROUND SPACE, 2018, 3 (02) : 125 - 139
  • [47] 3D Finite Element Modelling of Guided Wave Scattering at Delaminations in Composites
    Murat, Bibi Intan Suraya
    Fromme, Paul
    42ND ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 6TH EUROPEAN-AMERICAN WORKSHOP ON RELIABILITY OF NDE, 2016, 1706
  • [48] Modelling 3D metal cutting problems with the particle finite element method
    J. M. Carbonell
    J. M. Rodríguez
    E. Oñate
    Computational Mechanics, 2020, 66 : 603 - 624
  • [49] Finite element modelling of complex 3D image data with quantification and analysis
    Chakkour, Tarik
    OXFORD OPEN MATERIALS SCIENCE, 2024, 4 (01):
  • [50] Finite element modelling of 3D moving conductor devices with low conductivity
    Coles, PC
    Rodger, D
    Leonard, PJ
    Lai, HC
    IEEE TRANSACTIONS ON MAGNETICS, 1996, 32 (03) : 753 - 755