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Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System

Received: 10 May 2017     Accepted: 6 June 2017     Published: 14 July 2017
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Abstract

The gray correlation analysis is employed to analyze the effect of the row number of thermal storage tubes, the air circulation rate and the air temperature on efficiency of wood drying in solar drying system with phase change material (PCM) thermal storage, the relative order of influencing factors on wood drying process is determined. It indicated that air temperature is the 1st key influencing factor in the solar drying system, followed by the air circulation rate, and then the row number of thermal storage tubes. This result is of practical significance for the optimization of the drying process.

Published in Mathematical Modelling and Applications (Volume 2, Issue 3)
DOI 10.11648/j.mma.20170203.11
Page(s) 28-32
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Grey Correlation, Solar Wood Drying, Air Temperature, Circulation Rate, Thermal Storage Tube Row

References
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[4] Zhang B. (2000) Study on drying lumber with solar energy. 12nd International Drying Symposium, Netherlands.
[5] Zhang J., Ding Y., Chen N. (2005) Research and application of phase change storage materials, Salt Lake Research, 13 (3), 52-57.
[6] Feng X., Yi S., Zhang B. et al. (2010) Effect of various factors on wood drying rate in solar thermal storage phase transformation system, J. of Northern China Electric Power University, 37 (3), 79-83.
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[8] Xi Y., Wu X., Zheng X. (2014) Grey correlation analysis between mikimotoi population density and physicochemical factors, Fishery Sciences, 33 (7), 410-416.
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[12] Hu W. (2015) Preparation of polycarboxylate superplasticizer based on gray correlation analysis, Municipal Technology, 33 (1), 171-173.
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  • APA Style

    Yu Jie, Zheng Maosheng. (2017). Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System. Mathematical Modelling and Applications, 2(3), 28-32. https://doi.org/10.11648/j.mma.20170203.11

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    ACS Style

    Yu Jie; Zheng Maosheng. Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System. Math. Model. Appl. 2017, 2(3), 28-32. doi: 10.11648/j.mma.20170203.11

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    AMA Style

    Yu Jie, Zheng Maosheng. Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System. Math Model Appl. 2017;2(3):28-32. doi: 10.11648/j.mma.20170203.11

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  • @article{10.11648/j.mma.20170203.11,
      author = {Yu Jie and Zheng Maosheng},
      title = {Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System},
      journal = {Mathematical Modelling and Applications},
      volume = {2},
      number = {3},
      pages = {28-32},
      doi = {10.11648/j.mma.20170203.11},
      url = {https://doi.org/10.11648/j.mma.20170203.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20170203.11},
      abstract = {The gray correlation analysis is employed to analyze the effect of the row number of thermal storage tubes, the air circulation rate and the air temperature on efficiency of wood drying in solar drying system with phase change material (PCM) thermal storage, the relative order of influencing factors on wood drying process is determined. It indicated that air temperature is the 1st key influencing factor in the solar drying system, followed by the air circulation rate, and then the row number of thermal storage tubes. This result is of practical significance for the optimization of the drying process.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Grey Correlation Analysis of Factors Affecting Wood Drying in PCM Thermal Storage Solar Drying System
    AU  - Yu Jie
    AU  - Zheng Maosheng
    Y1  - 2017/07/14
    PY  - 2017
    N1  - https://doi.org/10.11648/j.mma.20170203.11
    DO  - 10.11648/j.mma.20170203.11
    T2  - Mathematical Modelling and Applications
    JF  - Mathematical Modelling and Applications
    JO  - Mathematical Modelling and Applications
    SP  - 28
    EP  - 32
    PB  - Science Publishing Group
    SN  - 2575-1794
    UR  - https://doi.org/10.11648/j.mma.20170203.11
    AB  - The gray correlation analysis is employed to analyze the effect of the row number of thermal storage tubes, the air circulation rate and the air temperature on efficiency of wood drying in solar drying system with phase change material (PCM) thermal storage, the relative order of influencing factors on wood drying process is determined. It indicated that air temperature is the 1st key influencing factor in the solar drying system, followed by the air circulation rate, and then the row number of thermal storage tubes. This result is of practical significance for the optimization of the drying process.
    VL  - 2
    IS  - 3
    ER  - 

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Author Information
  • School of Life Science & Technology, Northwest University, Xi'an, China

  • School of Chemical Engineering, Northwest University, Xi'an, China

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