用机器学习方法模拟气泡塔反应器中甲苯的氧化反应

IF 2.8 4区工程技术 Q2 ENGINEERING, MECHANICAL

Journal of Heat Transfer-transactions of The Asme Pub Date : 2023-03-02 DOI:10.1115/1.4057022

Raihan Tayeb, Yuwen Zhang

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引用次数: 0

摘要

介绍了一种机器学习(ML)亚网格尺度(SGS)建模技术，用于高效准确地预测气泡柱中发生平行竞争反应的反应物和产物。该模型依赖于由具有少量特征的简单替换问题生成的数据。机器学习模型取代了与使用先前亚网格尺度模型的分析剖面相关的迭代方法，用于校正边界层中的浓度剖面。因此，目前的模型提供了显著的性能奖励，并且由于其数据驱动的性质，可以灵活地扩展到更复杂的场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Machine Learning Approach to Model Oxidation of Toluene in a Bubble Column Reactor

A machine-learned (ML) subgrid-scale (SGS) modeling technique is introduced for efficient and accurate prediction of reactants and products undergoing parallel competitive reactions in a bubble column. The model relies on data generated from a simple substitute problem with a small number of features. The machine-learned model replaces the iterative approach associated with the use of analytical profiles for previous subgrid-scale models for correcting concentration profiles in boundary layers. The present model, thus, offers a significant performance bonus as well as the flexibility to extend to more complex scenarios due to its data-driven nature.

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来源期刊

Journal of Heat Transfer-transactions of The Asme 工程技术-工程：机械

自引率

0.00%

发文量

182

审稿时长

4.7 months

期刊介绍： Topical areas including, but not limited to: Biological heat and mass transfer; Combustion and reactive flows; Conduction; Electronic and photonic cooling; Evaporation, boiling, and condensation; Experimental techniques; Forced convection; Heat exchanger fundamentals; Heat transfer enhancement; Combined heat and mass transfer; Heat transfer in manufacturing; Jets, wakes, and impingement cooling; Melting and solidification; Microscale and nanoscale heat and mass transfer; Natural and mixed convection; Porous media; Radiative heat transfer; Thermal systems; Two-phase flow and heat transfer. Such topical areas may be seen in: Aerospace; The environment; Gas turbines; Biotechnology; Electronic and photonic processes and equipment; Energy systems, Fire and combustion, heat pipes, manufacturing and materials processing, low temperature and arctic region heat transfer; Refrigeration and air conditioning; Homeland security systems; Multi-phase processes; Microscale and nanoscale devices and processes.