Fire spread and growth on real‐scale four cushion mock‐ups of residential upholstered furniture (RUF) were investigated with the goal of identifying whether changes in five classes of materials (barrier, flexible polyurethane foam, polyester fiber wrap, upholstery fabric, and sewing thread), referred to as factors, resulted in statistically significant changes in burning behavior. A fractional factorial experimental design plus practical considerations yielded a test matrix with 20 material combinations. Experiments were repeated a minimum of two times. Measurements included fire spread rates derived from video recordings and heat release rates (HRRs). A total of 13 experimental parameters (3 based on the videos and 10 on the HRR results), referred to as responses, characterized the measurements. Statistical analyses based on Main Effects Plots (main effects) and Block Plots (main effects and factor interactions) were used. The results showed that three of the factors resulted in statistically significant effects on varying numbers of the 13 responses. The Barrier and Fabric factors had the strongest main effects with roughly comparable magnitudes. Foam was statistically significant for fewer of the responses and its overall strength was weaker than for Barrier and Fabric. No statistically significant main effects were identified for Wrap or Thread. Multiple two‐term interactions between factors were identified as being statistically significant. The Barrier*Fabric interaction resulted in the highest number of and strongest statistically significant effects. The existence of two‐term interactions means that it will be necessary to consider their effects in approaches designed to predict the burning behavior of RUF.

中文翻译：

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室内装饰材料对真实尺寸的住宅软垫家具模型燃烧特性的影响

调查了住宅软垫家具（RUF）的实际四垫模型的火势蔓延和增长，目的是确定五种材料（阻隔层，软质聚氨酯泡沫塑料，聚酯纤维包裹物，室内装饰织物和缝制材料）是否发生变化螺纹）（称为因素）导致了燃烧行为的统计显着变化。分数阶乘实验设计加上实际考虑，得出了具有20种材料组合的测试矩阵。实验至少重复两次。测量包括从录像获得的火势蔓延率和放热率（HRR）。总共13个实验参数（基于视频的3个和基于HRR结果的10个）被称为响应，对测量进行了表征。使用基于主要影响图（主要影响）和块状图（主要影响和因子相互作用）的统计分析。结果表明，其中三个因素对13个响应的不同数量产生了统计学上的显着影响。屏障和织物因素的主效应最强，幅度大致可比。泡沫在统计学上具有显着意义，其响应较少，并且其整体强度比阻隔和织物弱。没有发现Wrap或Thread具有统计学意义的主要影响。多个因素之间的双向交互作用被确定为具有统计学意义。屏障*织物相互作用导致最大数量的和最强的统计学显着性作用。