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Evaluation and validation of large-eddy simulation sub-grid spray dispersion models using high-fidelity volume-of-fluid simulation data and engine combustion network experimental data

机译：利用高保真体积仿真数据和发动机燃烧网络实验数据评估与验证大型仿真子网格喷雾分散模型

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Chi-Wei Tsang; Chia-Wei Kuo; Mario Trujillo; Christopher Rutland;
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1. Evaluation and validation of large-eddy simulation sub-grid spray dispersion models using high-fidelity volume-of-fluid simulation data and engine combustion network experimental data [J] . Tsang Chi-Wei, Kuo Chia-Wei, Trujillo Mario, International journal of engine research . 2019,第6期

机译：使用高保真体积仿真数据和发动机燃烧网络实验数据评估与验证大型仿真子网格喷雾分散模型
2. Large-eddy simulation of ethanol spray combustion using a SOM combustion model and its experimental validation [J] . K. Li, L.X. Zhou, C.K. Chan, Applied Mathematical Modelling . 2015,第1期

机译：基于SOM燃烧模型的乙醇喷雾燃烧大涡模拟及其实验验证
3. Development of an axisymmetric population balance model for spray drying and validation against experimental data and CFD simulations [J] . Mark Pinto, Ian Kemp, Sean Bermingham Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers . 2014,第4期

机译：开发用于喷雾干燥的轴对称总体平衡模型，并针对实验数据和CFD模拟进行验证
4. 3D-CFD LAGRANGIAN SPRAY SIMULATIONS FOR LARGE TWO STROKE MARINE DIESEL ENGINES COMPARED WITH EXPERIMENTAL DATA OF A SPRAY COMBUSTION CHAMBER [C] . M. Bolla, Y. M. Wright, K. Boulouchos, ASME Internal Combustion Engine Division spring technical conference 2012.;Large bore engines ... . 2012

机译：大型两冲程船用柴油机的3D-CFD拉格朗日喷雾模拟与喷雾燃烧室的实验数据比较
5. Using high-fidelity simulations and artificial neural networks in calibration and control of high-degree-of-freedom internal combustion engines. [D] . Wu, Bin. 2006

机译：在高自由度内燃机的校准和控制中使用高保真模拟和人工神经网络。
6. Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data [O] . Guido Trensch, Robin Gutzen, Inga Blundell, 2018

机译：严格的神经网络仿真：在缺乏实验验证数据的情况下提高仿真结果正确性的模型验证方法
7. Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data [O] . Guido Trensch, Robin Gutzen, Inga Blundell, 2018

机译：严格的神经网络模拟：模型证实方法，用于增加模拟的正确性导致实验验证数据的缺失
8. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry: Spray Simulations [R] . Rutland, C. J. 2009

机译：具有详细化学的湍流燃烧的Terascale高保真模拟：喷雾模拟

Evaluation and validation of large-eddy simulation sub-grid spray dispersion models using high-fidelity volume-of-fluid simulation data and engine combustion network experimental data

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