Designing againstThermal Runaway: A DFSS-RSM-FMEAFramework Linking Battery Electrochemical Failure Thresholds to EVInterior Fire-Safety Materials

Abstract Electric vehicle (EV) battery fires pose acute occupant safety risks, yet no systematic Design for Six Sigma (DFSS) framework exists to optimize interior fire-safety barrier materials under simultaneous thermal, mass, and toxicological constraints. This study applies a full DMADV methodology to develop and verify a flame-retardant composite phase-change material (FR-CPCM) multilayer barrier for EV interior compartments. Voice-of-Customer inputs from UNECE R100 Rev.3, FMVSS 302, and automotive mass budgets were translated into five Critical-to-Quality targets: fire resistance duration tFR ≥ 18 min, areal density ρA ≤ 2.0 kg·m–2, thermal conductivity k = 0.50–0.65 W·m–1·K–1, hydrogen fluoride (HF) cabin concentration < 30 ppm, and recyclability ≥3/5. Twelve candidate material systems were screened using weighted composite scoring, and an aerogel–PCM–intumescent architecture with a halogen-free APP/EG/MDH flame-retardant system was selected. A three-factor, face-centered Central Composite Design (20 runs) was combined with Response Surface Methodology to model three performance responses simultaneously. Composite desirability optimization (D = 0.72) identified the optimal formulation: 32 wt % PCM, 20 wt % FR loading, and 12 mm barrier thickness. Verification confirmed tFR = 18 min (3.6× UNECE compliance margin), ρA = 1.80 kg·m–2, and k = 0.58 W·m–1·K–1. Failure Mode and Effects Analysis reduced the system risk priority number by 56% (400 → 176 across 12 failure modes). HF toxicological modeling identified a peak exposure of 240× the NIOSH-recommended exposure limit, establishing residual risk quantification as the primary future research priority, alongside full-scale UNECE validation and AI-assisted DFSS integration.

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Publication Details

Journal
ACS Chemical Health & Safety
Published
2026-08-18
DOI
https://doi.org/10.1021/acs.chas.6c00072
Primary Topic
Fire dynamics and safety research
Type
article
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article

Designing againstThermal Runaway: A DFSS-RSM-FMEAFramework Linking Battery Electrochemical Failure Thresholds to EVInterior Fire-Safety Materials

Mahmoud M. Elewa, Mai Sheta, Alaa El-Sharkawy, Nahla A. Taha
ACS Chemical Health & Safety
Fire dynamics and safety research
article

Designing againstThermal Runaway: A DFSS-RSM-FMEAFramework Linking Battery Electrochemical Failure Thresholds to EVInterior Fire-Safety Materials

Mahmoud M. Elewa, Mai Sheta, Alaa El-Sharkawy, Nahla A. Taha
article en

Abstract

Abstract Electric vehicle (EV) battery fires pose acute occupant safety risks, yet no systematic Design for Six Sigma (DFSS) framework exists to optimize interior fire-safety barrier materials under simultaneous thermal, mass, and toxicological constraints. This study applies a full DMADV methodology to develop and verify a flame-retardant composite phase-change material (FR-CPCM) multilayer barrier for EV interior compartments. Voice-of-Customer inputs from UNECE R100 Rev.3, FMVSS 302, and automotive mass budgets were translated into five Critical-to-Quality targets: fire resistance duration tFR ≥ 18 min, areal density ρA ≤ 2.0 kg·m–2, thermal conductivity k = 0.50–0.65 W·m–1·K–1, hydrogen fluoride (HF) cabin concentration < 30 ppm, and recyclability ≥3/5. Twelve candidate material systems were screened using weighted composite scoring, and an aerogel–PCM–intumescent architecture with a halogen-free APP/EG/MDH flame-retardant system was selected. A three-factor, face-centered Central Composite Design (20 runs) was combined with Response Surface Methodology to model three performance responses simultaneously. Composite desirability optimization (D = 0.72) identified the optimal formulation: 32 wt % PCM, 20 wt % FR loading, and 12 mm barrier thickness. Verification confirmed tFR = 18 min (3.6× UNECE compliance margin), ρA = 1.80 kg·m–2, and k = 0.58 W·m–1·K–1. Failure Mode and Effects Analysis reduced the system risk priority number by 56% (400 → 176 across 12 failure modes). HF toxicological modeling identified a peak exposure of 240× the NIOSH-recommended exposure limit, establishing residual risk quantification as the primary future research priority, alongside full-scale UNECE validation and AI-assisted DFSS integration.

ACS Chemical Health & Safety
Lawrence Technological University (US), Arab Academy for Science, Technology, and Maritime Transport (EG), City of Scientific Research and Technological Applications (EG), Higher Institute of Engineering (EG)
Openalex Percentile: Top 10%
Fire dynamics and safety research
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