Citation

Pitts WM, Werrel M, Fernandez M, Long MA, Eisenberg EA, Filliben J, Runyon CD. Fire Mater. 2021; 45(1): 127-154.

Copyright

(Copyright © 2021, John Wiley and Sons)

DOI

10.1002/fam.2915

PMID

unavailable

Abstract

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.

Language: en

Keywords

block plot analysis; FIGRA; fire spread rate; heat release rate; Main Effects Plot analysis; mock-ups; residential upholstered furniture; statistical significance