On-line evaluation of moisture transfer properties for a feed-forward control of a wood drying kiln with a mechanistic model.

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Title: On-line evaluation of moisture transfer properties for a feed-forward control of a wood drying kiln with a mechanistic model.
Authors: Simo-Tagne, Merlin1 (AUTHOR), Stéphan, Antoine1 (AUTHOR), Perré, Patrick2,3 (AUTHOR), L'Hostis, Clément4 (AUTHOR), Rémond, Romain1 (AUTHOR) romain.remond@univ-lorraine.fr
Source: Drying Technology. 2024, Vol. 42 Issue 16, p2348-2361. 14p.
Subjects: Lumber drying, Liquid analysis, Diffusion coefficients, Process optimization, Kilns
Abstract: Kiln operators are forced to rely on their own experience and expertise when adapting standard drying schedules to tackle changing situations or to better suit their needs. The online tuning of a mechanistic model and its use as forward control is therefore proposed to address the current lack of tools. An inverse analysis of the drying kinetics of wooden boards dried in an industrial kiln is carried out to determine the moisture transfer properties of the boards. The values obtained by the inverse method are found to be relatively close to those obtained by direct measurement. The mechanistic model is then used with these input values to simulate the drying of a stack of boards to find the best drying strategy to meet the objectives. This work focuses on achieving a compromise between quality and time. Several difficulties were encountered in developing this approach for a semi-industrial dryer, and some recommendations are made for developing this innovative strategy further. [ABSTRACT FROM AUTHOR]
Copyright of Drying Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: On-line evaluation of moisture transfer properties for a feed-forward control of a wood drying kiln with a mechanistic model.
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  Data: <searchLink fieldCode="JN" term="%22Drying+Technology%22">Drying Technology</searchLink>. 2024, Vol. 42 Issue 16, p2348-2361. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Lumber+drying%22">Lumber drying</searchLink><br /><searchLink fieldCode="DE" term="%22Liquid+analysis%22">Liquid analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+coefficients%22">Diffusion coefficients</searchLink><br /><searchLink fieldCode="DE" term="%22Process+optimization%22">Process optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Kilns%22">Kilns</searchLink>
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  Data: Kiln operators are forced to rely on their own experience and expertise when adapting standard drying schedules to tackle changing situations or to better suit their needs. The online tuning of a mechanistic model and its use as forward control is therefore proposed to address the current lack of tools. An inverse analysis of the drying kinetics of wooden boards dried in an industrial kiln is carried out to determine the moisture transfer properties of the boards. The values obtained by the inverse method are found to be relatively close to those obtained by direct measurement. The mechanistic model is then used with these input values to simulate the drying of a stack of boards to find the best drying strategy to meet the objectives. This work focuses on achieving a compromise between quality and time. Several difficulties were encountered in developing this approach for a semi-industrial dryer, and some recommendations are made for developing this innovative strategy further. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Drying Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/07373937.2024.2420873
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 2348
    Subjects:
      – SubjectFull: Lumber drying
        Type: general
      – SubjectFull: Liquid analysis
        Type: general
      – SubjectFull: Diffusion coefficients
        Type: general
      – SubjectFull: Process optimization
        Type: general
      – SubjectFull: Kilns
        Type: general
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            NameFull: Stéphan, Antoine
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            NameFull: Perré, Patrick
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            NameFull: L'Hostis, Clément
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            NameFull: Rémond, Romain
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            – D: 01
              M: 12
              Text: 2024
              Type: published
              Y: 2024
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