scholarly journals Prediction of Smoke Risk Ratings in the Combustion of Some Wood and Plastics

2021 ◽  
Vol 35 (4) ◽  
pp. 15-23
Author(s):  
JiSun You ◽  
Yeong-Jin Chung
Keyword(s):  
Polymethyl Methacrylate ◽  
Hazard Assessment ◽  
Performance Index ◽  
Cone Calorimeter ◽  
Fire Hazard ◽  
Risk Index ◽  
Growth Index ◽  
Pinus Koraiensis ◽  
White Oak ◽  
Incomplete Form

In this study, pinus koraiensis (nut pine) and quercus aliena (white oak) and polyethylene (PE) and polymethyl methacrylate (PMMA) were selected. And it was measured with a cone calorimeter in accordance with ISO 5660-1. With the measured values, it was intended to comprehensively predict the risk of smoke by Chung’s equations 1 (smoke performance index, SPI) and Chung’s equations 2 (smoke growth index, SGI). To standardize fire hazard assessment in case of fire by extending this, standard materials (PMMA) were used to classify the smoke risk by the Chung's equations-V (smoke performance index-V, SPI-V and smoke growth index-V, SGI-V) and Chung's equation-VI (smoke risk index-VI, SRI-VI) to evaluate it. The SPI-V was the lowest with nut pine of 0.73 and the highest PE was the highest with 37.22. In the SGI-V, PE was the material that produced the least smoke with the least amount of 0.03. Nut pine is expected to generate a large amount of smoke with the highest at 10.00. SRI-VI, it appeared in the order of PE (0.00) < PMMA (1.00) < white oak (1.44) << nut pine (13.70). Therefore, it was judged that PE had the lowest smoke risk and nut pine had the highest. In addition, it was found that the combustion of wood was done in an incomplete form than that of plastics.

scholarly journals Rating Evaluation of Fire Risk Associated with Plastics

2021 ◽  
Vol 35 (2) ◽  
pp. 9-15
Author(s):  
Ji Sun You ◽  
Yeong-jin Chung
Keyword(s):  
Performance Index ◽  
Fire Hazard ◽  
Growth Index ◽  
Fire Risk ◽  
Fire Performance ◽  
Fire Growth ◽  
Glass Fiber Reinforced Plastic ◽  
Fiber Reinforced Plastic ◽  
Glass Fiber Reinforced ◽  
Reinforced Plastic

In this study, plastics such as glass fiber reinforced plastic (GFRP), polystyrene (PS), polycarbonate (PC), polypropylene (PP), polyvinyl chloride (PVC) were selected, and the fire risk associated with them was investigated using a cone calorimeter, as per ISO 5660-1. These values were measured to comprehensively predict the fire risk by Chung’s equations- Ⅱ. Standard materials (PMMA) were used to standardize the fire hazard assessment, and the fire risk was classified and evaluated by new Chung’s equations-III and Chung’s equation-IV. The fire performance index-II of Chung’s equations-Ⅱ showed that PVC had the highest FPI-II of 32.04 s<sup>2</sup>/kW, whereas PS had the lowest FPI-Ⅱ of 0.07 s<sup>2</sup>/kW. From the viewpoint of FGI-Ⅱ, the lowest fire growth index-Ⅱ was 0.09 kW/s<sup>2</sup> for PVC, and the highest fire growth index-Ⅱ for PS was 3.41 kW/s<sup>2</sup>. The FPI-Ⅲ of Chung’s equations-Ⅲ had the lowest fire performance index-Ⅲ for PS (0.02) and highest fire performance index-Ⅲ for PVC (89). The FGI-Ⅲ had the highest fire growth index-Ⅲ of 20.1, and PS and PVC were found to be the safest materials with an FGI of 0.5. The FRI-Ⅳ of Chung’s equation-Ⅳ was in the following order: PS (100.5) ≫ PP (2.43) > PC (1.12) > PMMA (1.0) > FRP (0.19) > PVC (0.01). Therefore, it was concluded that the fire risk associated with PVC is lowest, whereas that associated with PS is highest.

Fire risk assessment of cypress wood coated with metal oxide and metal silicate flame retardant using cone calorimeter

2020 ◽  
Vol 38 (6) ◽  
pp. 504-521
Author(s):  
Eui Jin ◽  
Yeong-Jin Chung
Keyword(s):  
Metal Oxide ◽  
Performance Index ◽  
Cone Calorimeter ◽  
Flame Retardants ◽  
Growth Index ◽  
Fire Risk ◽  
Silicon Compound ◽  
Fire Performance ◽  
Metal Silicate ◽  
Fire Scenarios

This study investigated the fire risk properties of cypress wood for the construction of interiors, especially focusing on heat and smoke hazard properties in fire scenarios. Fire risk characteristics were measured using a cone calorimeter (ISO 5660-1). The external heat flux was maintained at 50 kW/m2. The flame retardants used were metal oxide and metal silicate; they were mixed with a water glass solution. Flame retardants and the silicon compound were dispersed in a concentration of 20 wt% versus 80 wt%, respectively, during 24 h using a magnetic stirrer. The fire performance indexes of the specimens increased by 3–16 times, compared with uncoated specimen and the fire growth index of the specimens increased by 70%–92%. The smoke performance index of the specimens increased by 9–66 times, compared with uncoated specimens. The smoke risk as shown by the smoke performance index increased in the following order: SnO < mica < Co3O4 < ZrSiO4 < cypress. The smoke growth index decreased from 93% to 98%, compared with uncoated wood. The smoke risk due to smoke growth index increased in the following order: SnO < mica < ZrSiO4≈ Co3O4 < cypress. The smoke intensity decreased from a minimum of 85% to a maximum of 99%, compared with uncoated wood. The concentration of CO gas generated after combustion was decreased by 24%–67%. They increased in the following order: mica ≈ ZrSiO4 < SnO < Co3O4 < cypress. A comprehensive assessment of fire performance shows that flame retardants decreased heat hazards, smoke hazards, and CO toxicity.

Fire Hazard Assessment in a Big Hall with the Multi-Cell Zone Modelling Concept

1997 ◽  
Vol 15 (1) ◽  
pp. 14-28 ◽  
Author(s):  
W.K. Chow
Keyword(s):  
Hazard Assessment ◽  
Calculation Method ◽  
Fire Hazard ◽  
Accurate Prediction ◽  
Zone Model ◽  
Fire Growth ◽  
Fire Environment ◽  
Computer Based ◽  
Escape Path ◽  
Cell Zone

The multi-cell concept is further applied for assessing the fire hazard of a big hall using a zone model. A hall of size 60 m by 60 m by 5 m was selected for the study. HAZARD1, a computer-based hazard calculation method combining models of fire growth and egress was used for fire hazard assess ment. This hall was divided into a "nine-room" structure, a "three-room" struc ture, and a "one-room" structure. Room numbers and node numbers for each group were labelled for use by the evacuation module EXITT. The fire environ ment was simulated by the fire zone model CFAST. With the predicted results, the escape paths of the occupants were then simulated. The module TENAB was used to study whether tenability criteria were exceeded. Because the "multi-cell" concept of using a zone model can give detailed information in the fire environment, better identification of the escape path and more accurate prediction on tenability are possible.

scholarly journals Assessment of Heating and Cooling of a Spontaneous Fire Source in Coal Deposits—Effect of Coal Grain Size

Minerals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 907
Author(s):  
Marek Więckowski ◽  
Natalia Howaniec ◽  
Adam Smoliński
Keyword(s):  
Carbon Monoxide ◽  
Hazard Assessment ◽  
Fire Hazard ◽  
Temperature Drop ◽  
Coal Bed ◽  
Coal Deposit ◽  
Fire Source ◽  
Heating And Cooling ◽  
Spontaneous Fire ◽  
The Impact

Fire hazard assessment in coal mines is performed on the basis of concentrations of particular gases emitted from the heating coal deposit, but more precise criteria and indicators are needed to assess fire hazard properly—both during the temperature rise phase and in the coal bed cooling phase. In the paper the impact of coal grinding on hazard assessment of spontaneous fire development in the coal deposit during heating and cooling the fire source was analyzed. The intensity of desorption of ethane, ethylene, propane, propylene, acetylene, carbon monoxide and hydrogen is the resultant of temperature and grinding of coal samples. The results proved that the ratio of concentrations emitted by standard versus coarsely crushed coal for each of the gases, changed both in the growth phase as well as in the temperature drop phase. It was found that as the temperature rose, the effect of coal grinding on the release of ethane, ethylene, propane, propylene and carbon monoxide decreased. The greatest effect of coal grinding was observed in the case of ethane and propane, while the lowest in the case of hydrogen and carbon monoxide.

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