使用一个简单的方法来预测通过脱硫处理回收的废酸 (NBR) 的性能
Mohammad Amin Ghowsi1, Masoud Jamshidi2
1Constructional Polymers and Composites Research Lab., School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.
Scientific reports
|September 16, 2023
概括
一种新的方法通过量化链裂变和交叉链断裂来准确预测脱硫的特性. 这种方法模拟了脱火山化,使得可靠的再生酸 (NBR) 性能预测成为可能.
科学领域:
- 聚合物科学 聚合物科学
- 材料科学 材料科学 材料科学
- 技术 技术 技术
背景情况:
- 的脱对于回收至关重要,但预测回收材料的特性仍然具有挑战性.
- 了解分子变化和材料特性之间的关系是开发可靠预测模型的关键.
研究的目的:
- 开发一种可靠的方法来预测除硫化化 (NBR) 的特性.
- 在NBR中建立链裂/交叉链断裂和财产退化之间的数值关系.
主要方法:
- 准备的NBR样本具有不同的分子量 (通过) 和交联密度 (通过火山化).
- 实验评估了准备好的NBR样本的物理,机械和热性能.
- 作为链裂和交叉链断裂的建模devulcanization,导出属性变化的数值关系.
主要成果:
- 建立了数值关系,量化了链裂和交叉链断裂对NBR属性的影响.
- 成功预测了NBR样本的硬度,模量和分子量等性能,这些样本经历了两种降解类型.
- 计算的属性与实验评估的值密切一致,验证了预测方法.
结论:
- 开发的方法提供了一种可靠的方法来预测脱硫化NBR的特性.
- 已建立的数值关系在模拟复杂的降解过程时是有效的 devulcanization.
- 这项研究通过准确的属性预测,有助于推进回收技术.
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