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Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach

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能源与人工智能(英文) 2021年第3期5卷 316-324页

作者： Takafumi Honzawa Reo Kai Kotaro Hori Makoto Seino takayuki nishiie Ryoichi Kurose Department of Mechanical Engineering and Science Graduate School of EngineeringKyoto UniversityKyoto daigaku-KatsuraNishikyo-kuKyoto 615-8540Japan Tokyo Gas Co. Ltd.1-7-7 Suehiro-choTsurumi-kuYokohamaKanagawa 230-0045Japan Numerical Flow Designing Co. Ltd.1-10-10Higashi-GotandaShinagawa-kuTokyo 141-0022Japan

Owing to the increasing worldwide demand for natural gas,the development of a large submerged combustion vaporizer is *** burner is equipped with a water spray nozzle to reduce nitrogen oxides,and a practi-cal simulation method is required for the optimal *** non-adiabatic flamelet approach can predict the combustion emissions and is useful for reducing simulation ***,as the number of control variables increases,the database requires larger memory and cannot be dealt with by general *** this study,an artificial neural network(ANN)model based on a five-dimensional flamelet database,which includes the effects of heat loss and vapor concentration by sprayed water evaporation,is ***,large eddy sim-ulations(LESs)for turbulent combustion fields with and without water spray are conducted employing flamelet generated manifold(FGM)approach with this ANN model,and the validity is *** comparison,a lab-scale burner equipped with a water spray nozzle is manufactured,and combustion experiments with and without water spray are *** results show that CO,NO,temperature,and reaction rate of progress variable predicted by the present ANN model are in good agreement with those of a five-dimensional flamelet *** the condition without water spray,the flame behavior predicted by the LES employing the FGM/ANN ap-proach is in good agreement with that employing the conventional FGM approach,while indicating much lower memory,although there appeared some quantitative discrepancies in the temperature against the experiment probably partially because of the insufficiency of the FGM approach for the present complex flame *** the condition with water spray,the LES employing the FGM/ANN approach is able to capture the effect of the water spray on the flame behavior in the experiment,such that the water spray decreases the temperature,which causes the decrease in NO but increase in CO.

关键词： Neural network modeling Five-dimensional flamelet approach Water spray Large eddy simulation

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