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The cubic regression model of thermal estimation in the flammability test of the fibrous compound used in bus bodies

机译:客车车体纤维化合物燃烧试验中热估算的三次回归模型。

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The fire behavior of fiber compounds is a serious concern in automotive applications. The objective of the proposed work is to predict thermal behavior during flammability testing of the composite material of polymer matrix reinforced with fiberglass used in the interior lining of bodies. Different regression models were performed to determine the best fit. This regression analysis determines the existing correlation between the acquired parameters of burn time and temperature versus two types of fibers used for the interior decorative lining. Different regression coefficients were determined and used for the prediction. Through the best fit regression model, thermal behavior of burning during the flammability test is predicted under ISO standard 3795: 1989 and FMVSS 302. The prediction was made for two types of composites, Roof Fiber, FT, and Fiber for laterals, FL. The cubic regression model showed the best prediction fit with a Rq of 0.79 for FT and 0.81 for FL.
机译:纤维化合物的防火性能在汽车应用中是一个严重的问题。拟议工作的目的是预测在车身内衬中使用玻璃纤维增​​强的聚合物基质复合材料的可燃性测试过程中的热行为。进行了不同的回归模型以确定最佳拟合。该回归分析确定了获取的燃烧时间和温度参数与用于内部装饰衬里的两种类型纤维之间的现有相关性。确定了不同的回归系数,并将其用于预测。通过最佳拟合回归模型,根据ISO标准3795:1989和FMVSS 302预测了可燃性测试过程中燃烧的热行为。该预测是针对两种类型的复合材料进行的,即FT屋面纤维和FL侧向纤维。三次回归模型显示最佳预测拟合,FT的Rq为0.79,FL的Rq为0.81。

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