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

Yu Jie; Zheng Maosheng

doi:doi:10.11648/j.mma.20170203.11

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

Yu Jie, Zheng Maosheng

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 1^st 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.

DOI	10.11648/j.mma.20170203.11
Published in	Mathematical Modelling and Applications (Volume 2, Issue 3, June 2017)
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), 2024. Published by Science Publishing Group

Keywords

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

References

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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

Yu Jie

School of Life Science & Technology, Northwest University, Xi'an, China
Zheng Maosheng

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

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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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download