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Analysis on the Fire Growth Rate Index Considering of Scale Factor, Volume Fraction, and Ignition Heat Source for Polyethylene Foam Pipe Insulation

Author

Listed:
  • Jung Wook Park

    (Department of Architecture & Fire Safety, Dong Yang University, Yeongju 36040, Korea)

  • Ohk Kun Lim

    (R&D Laboratory, Korea Fire Institute, Yongin 17088, Korea)

  • Woo Jun You

    (Department of Architecture & Fire Safety, Dong Yang University, Yeongju 36040, Korea)

Abstract

The fire growth rate index ( FIGRA ), which is the ratio of the maximum value of the heat release rate ( Q max ) and the time ( t max ) to reach the maximum heat release rate, is a general method to evaluate a material in the fire-retardant performance in fire technology. The object of this study aims to predict FIGRA of the polyethylene foam pipe insulation in accordance with the scale factor ( S f ), the volume fraction of the pipe insulation ( VF ) and the ignition heat source ( Q ig ). The compartments made of fireboard have been mock-up with 1/3, 1/4, and 1/5 reduced scales of the compartment as specified in ISO 20632. The heat release rate data of the pipe insulation with the variation of S f , VF, and Q ig are measured from 33 experiments to correlate with FIGRA . Based on a critical analysis of the heat transfer phenomenon from previous research literature, the predictions of Q max and t max are presented. It is noticeable that the fire-retardant grade of the polyethylene foam pipe insulation could have Grade B, C, and D in accordance with the test conditions within ±15% deviation of the predicted FIGRA . In case of establishing the database of various types of insulation, the prediction models could apply to evaluate the fire-retardant performance.

Suggested Citation

  • Jung Wook Park & Ohk Kun Lim & Woo Jun You, 2020. "Analysis on the Fire Growth Rate Index Considering of Scale Factor, Volume Fraction, and Ignition Heat Source for Polyethylene Foam Pipe Insulation," Energies, MDPI, vol. 13(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3644-:d:384778
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    Cited by:

    1. Imran & Naeem Iqbal & Shabir Ahmad & Do Hyeun Kim, 2021. "Towards Mountain Fire Safety Using Fire Spread Predictive Analytics and Mountain Fire Containment in IoT Environment," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
    2. Yuri Vankov & Elvira Bazukova & Dmitry Emelyanov & Alexander Fedyukhin & Olga Afanaseva & Irina Akhmetova & Umberto Berardi, 2022. "Experimental Assessment of the Thermal Conductivity of Basalt Fibres at High Temperatures," Energies, MDPI, vol. 15(8), pages 1-11, April.
    3. Martinka Jozef & Rantuch Peter & Wachter Igor & Štefko Tomáš & Hladová Martina & Nečas Aleš & Trčka Martin & Sulová Janka, 2021. "Fire Growth Rate Index as a Key Fire Characteristic of Electrical Cables," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 29(48), pages 81-90, June.

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