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Big data analysis on manufacturing variables affecting properties of medium density fiberboard

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Abstract

The properties of medium density fiberboard (MDF) panels manufactured by reconstituting wood fibers and binders under high temperature and pressure depend on various manufacturing variables, including wood-related parameters, adhesive-related ones, and process-related ones. This study focused on the analysis of big data (about 400 million data) of the manufacturing variables (1389 variables) of MDF panels to understand the influence of these variables on the properties of MDF, using Ridge, Lasso, and Elastic-net regression. Both Lasso and Elastic-net regression were better than Ridge one in predicting the properties of MDF. The analysis results also showed that flash tube dryer, mat forming, and hot-pressing variables were closely related to panel density while fiber bin, refiner, forming, press, and hot-press heating variables affected the modulus of rupture (MOR) of the MDF panel. The analysis of interactions between manufacturing variables and MDF properties showed that the panel density affected internal bond (IB) strength, core density, and moisture content while IB strength and moisture content were associated with the MOR of the MDF panel. However, it is not clear which variables are dominantly affecting the formaldehyde emission of MDF.

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Acknowledgements

This study was carried out with the support of R&D Program for Forest Science Technology (Project No. FTIS-2019149C10-2023-0301) provided by Korea Forest Service (Korea Forestry Promotion Institute).

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Authors and Affiliations

  1. Department of Wood and Paper Science, Kyungpook National University, Daegu, 41566, Republic of Korea

    Seongsu Park & Byung-Dae Park

  2. Department of Statistics, Kyungpook National University, Daegu, 41566, Republic of Korea

    Yongku Kim

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  1. Seongsu Park
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  2. Byung-Dae Park
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Byung-Dae Park and Seongsu Park contributed to the designing and writing of this manuscript, and Yongku Kim contributed to review and revise statistical analysis.

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Correspondence to Byung-Dae Park.

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Park, S., Park, BD. & Kim, Y. Big data analysis on manufacturing variables affecting properties of medium density fiberboard. Eur. J. Wood Prod. 82, 483–492 (2024). https://doi.org/10.1007/s00107-023-02030-6

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