一种基于相应状态原则的新方法来预测生物柴油相关的液态粘度
Maxwell Risseli Laurentino da Silva1,2, Alanderson Arthu Araújo Alves2,3, Nathan Sombra Evangelista4
1Departamento de Engenharia Química, NUPEG, Universidade Federal do Rio Grande do Norte, Campus Universitário, Lagoa Nova, 59078-970 Natal, Rio Grande do Norte, Brazil.
ACS omega
|August 4, 2025
概括
一个新的模型使用相应状态原理 (CSP) 估计生物柴油的动态粘度. 该模型在高压条件下准确预测粘度,性能优于现有方法.
科学领域:
- 热力学是一种热力学.
- 化学工程是化学工程的重要组成部分.
- 可再生能源是可再生能源的来源.
背景情况:
- 准确预测生物柴油动态粘度对于工艺设计和优化至关重要.
- 现有的模型往往缺乏准确性,特别是在生物柴油生产和储存相关的高压条件下.
研究的目的:
- 开发和验证一种新的预测模型,用于生物柴油相关在液态阶段的动态粘度.
- 通过使用类似泰特方程,将模型的适用性扩展到高压条件.
- 将拟议模型的性能与已建立的文献方法进行比较.
主要方法:
- 使用了三参数对应状态原理 (CSP).
- 整合了一个类似泰特方程来处理高压数据.
- 通过使用来自11个生物柴油的249个实验粘度数据点来安装模型参数.
- 根据文献中13个已建立的模型进行验证.
主要成果:
- 在高压条件下达到7.94%的平均绝对相对偏差,在大气条件下达到12.95%.
- 与13个现有模型相比,证明了卓越的准确性和物理一致性.
- 该模型在一系列与生物柴油相关的 Ester 中表现良好.
结论:
- 拟议的基于CSP的模型提供了一种可靠和准确的方法来估计生物柴油的动态粘度.
- 该模型在高压条件下特别有效.
- 推用于未来生物柴油工艺工程和研究中的应用.
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