Relationship between a diffusion model and a transport model for softwood drying

被引:0
|
作者
Pang, SS
机构
来源
WOOD AND FIBER SCIENCE | 1997年 / 29卷 / 01期
关键词
lumber drying; transport model; diffusion model; moisture content; temperature;
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Transfer equations in a transport model for wood drying are rearranged to give equations that have similar form to those of Luikov's drying model. In this way the transport coefficients in these equations are derived from the transport model and are functions of moisture content, temperature, wood properties (density, permeability, and bound water diffusivity), and properties of moisture (liquid density and viscosity, vapor density, and viscosity). The above-derived equations are used to examine the relationship between the transport model and the simple diffusion model. It is shown that the diffusion model can be regarded as a simplified form of the transport model when the effect of temperature gradient is neglected. The diffusion model is applicable to cases where the temperature gradient is flat or the coefficient for the temperature gradient is small compared to that for the moisture content gradient. In other cases, or where the wood temperature is of concern, the transport drying model should be employed.
引用
收藏
页码:58 / 67
页数:10
相关论文
共 50 条
  • [41] Superheated steam drying of single wood particles: A characteristic drying curve model deduced from continuum model simulations and assessed by experiments
    Le, Kieu Hiep
    Hampel, Neli
    Kharaghani, Abdolreza
    Bueck, Andreas
    Tsotsas, Evangelos
    DRYING TECHNOLOGY, 2018, 36 (15) : 1866 - 1881
  • [42] Coupling a Detailed Transport Model to the Integrated Assessment Model REMIND
    Marianna Rottoli
    Alois Dirnaichner
    Page Kyle
    Lavinia Baumstark
    Robert Pietzcker
    Gunnar Luderer
    Environmental Modeling & Assessment, 2021, 26 : 891 - 909
  • [43] Coupling a Detailed Transport Model to the Integrated Assessment Model REMIND
    Rottoli, Marianna
    Dirnaichner, Alois
    Kyle, Page
    Baumstark, Lavinia
    Pietzcker, Robert
    Luderer, Gunnar
    ENVIRONMENTAL MODELING & ASSESSMENT, 2021, 26 (06) : 891 - 909
  • [44] Novel population balance model for granule aggregation and breakage in fluidized bed granulation and drying
    Hayashi, Kentaro
    Watano, Satoru
    POWDER TECHNOLOGY, 2019, 342 : 664 - 675
  • [45] Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious
    Lerche, Veronika
    Voss, Andreas
    FRONTIERS IN PSYCHOLOGY, 2016, 7
  • [46] Contribution to employment of the diffusion model in the optimization of thermal processing of canned foods diffusion model in thermal processing
    Peotta Zanini, Katy Regina
    Kunigk, Leo
    Leonhardt, Gustavo Ferreira
    ACTA SCIENTIARUM-TECHNOLOGY, 2011, 33 (03) : 343 - 349
  • [47] Model of Spray-Drying for Encapsulation of Natural Extracts
    Bassani, Andrea
    Rossi, Francesco
    Fiorentini, Cecilia
    Garrido, Guillermo D.
    Reklaitis, Gintaras V. R.
    Bonadies, Irene
    Spigno, Giorgia
    30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C, 2020, 48 : 355 - 360
  • [48] ESTABLISHMENT OF RICE QUALITY PREDICTION MODEL FOR INTERMITTENT DRYING
    Song, Qi
    Wei, Xinhua
    TRANSACTIONS OF THE ASABE, 2021, 64 (04) : 1355 - 1363
  • [49] Image Captioning with Masked Diffusion Model
    Tian, Weidong
    Xu, Wenzheng
    Zhao, Junxiang
    Zhao, Zhongqiu
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT VIII, ICIC 2024, 2024, 14869 : 216 - 227
  • [50] SMooDi: Stylized Motion Diffusion Model
    Zhong, Lei
    Xie, Yiming
    Jampani, Varun
    Sun, Deqing
    Jiang, Huaizu
    COMPUTER VISION-ECCV 2024, PT I, 2025, 15059 : 405 - 421