Scholarlink

<p>Metal combustion, which is fundamentally a rapid exothermic redox reaction with oxygen, governs critical applications from aerospace propulsion to structural fire safety. Understanding key combustion metrics including combustion enthalpy, ignition temperature, ignition delay time, combustion rate, and threshold pressure is essential for designing fire-resistant alloys or high-energy propellants. This work establishes a comprehensive database of 725 curated data points extracted from 45 publications, mainly encompassing pure metals, Al-based, Ti-based, Mg-based, Fe-based alloys and multi-component alloys. Each data entry integrates combustion metrics with alloy composition and critical experimental metadata, such as sample geometry, oxygen partial pressure and test method. By integrating scattered literature data into a unified framework with standardized parameters, this work provides a foundation for data-driven discovery of next-generation materials with tailored combustion performance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An integrated database of combustion properties of metallic materials

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月16日

查看全文
  • Penglin Wang,
  • Huibin Ke,
  • Yunfei Xue

摘要

Metal combustion, which is fundamentally a rapid exothermic redox reaction with oxygen, governs critical applications from aerospace propulsion to structural fire safety. Understanding key combustion metrics including combustion enthalpy, ignition temperature, ignition delay time, combustion rate, and threshold pressure is essential for designing fire-resistant alloys or high-energy propellants. This work establishes a comprehensive database of 725 curated data points extracted from 45 publications, mainly encompassing pure metals, Al-based, Ti-based, Mg-based, Fe-based alloys and multi-component alloys. Each data entry integrates combustion metrics with alloy composition and critical experimental metadata, such as sample geometry, oxygen partial pressure and test method. By integrating scattered literature data into a unified framework with standardized parameters, this work provides a foundation for data-driven discovery of next-generation materials with tailored combustion performance.