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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
Composites Science and Technology ( IF 9.1 ) Pub Date : 2024-02-24 , DOI: 10.1016/j.compscitech.2024.110517
Paulina Wiśniewska , Elnaz Movahedifar , Krzysztof Formela , M.Z. Naser , Henri Vahabi , Mohammad Reza Saeb

Rubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified and visualized the flame retardancy of natural and synthetic FRRCs by grouping FRRCs based on their flame retardants (FRs) among green, mineral, phosphorus-based, nitrogen-based, carbonaceous, and hybrids of two or more types. Available data on cone calorimetry, limited oxygen index (LOI), and UL-94 of FRRCs were carefully extracted and plotted. () was used to specify the , , or classes of flame retardancy in association with the chemistry and concentration of FRs to broaden the future innovation avenues. Machine Learning (ML) modeling enabled visualization of flame retardancy landscapes of natural and synthetic rubbers in terms of the chemistry and concentration of FRs. Overall, a downward trend in mechanical properties of FRRCSs against FRs amount was oxplored. This study proposed a general guideline for recognizing gaps in previous investigations and mechanistic interpretations. In conclusion, we highlight that the future FRRCs should take advantage of hybridizing FRs in order to meet the fire safety requirements, which would be possible by the innovative colorful checkered flame retardancy chart presented in this survey.

中文翻译:

阻燃橡胶复合材料的化学、性质和性能:收集、分析、分类、机器学习建模和可视化

橡胶将柔韧性与机械强度结合在一起,支持多种应用,但具有固有的易燃性。多年来,阻燃橡胶复合材料(FRRC)的配方和生产已得到广泛实践,但尚未得到全面审查。这种必要性概述了为了对 FRRC 进行分类而收集、分析、筛选、分类和解释文献。我们根据阻燃剂 (FR) 将 FRRC 分为绿色阻燃剂、矿物阻燃剂、磷基阻燃剂、氮基阻燃剂、碳质阻燃剂以及两种或多种类型的混合物,对天然和合成 FRRC 的阻燃性进行了量化和可视化。仔细提取并绘制了 FRRC 锥量热法、有限氧指数 (LOI) 和 UL-94 的可用数据。 () 用于指定与阻燃剂的化学性质和浓度相关的阻燃性 、 或 类别,以拓宽未来的创新途径。机器学习 (ML) 建模可以根据阻燃剂的化学性质和浓度对天然橡胶和合成橡胶的阻燃性能进行可视化。总体而言,FRRCS 的机械性能相对于 FR 用量呈下降趋势。这项研究提出了一个认识先前研究和机制解释中的差距的一般指南。总之,我们强调,未来的 FRRC 应利用混合 FR 来满足消防安全要求,这可以通过本次调查中提出的创新彩色格子阻燃图表来实现。
更新日期:2024-02-24
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