Deep Learning Models for SO(2) Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data

[Image: see text] The distribution of SO(2) in a boiler is an important factor affecting tube corrosion in a furnace. To investigate the correlation between SO(2) distribution and numerous variables (e.g., temperature, O(2) distribution, etc.), a hybrid deep learning model is developed via the compu...

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Detalles Bibliográficos
Autores principales: Tang, Zhenhao, Dong, Hongrui, Zhang, Chong, Cao, Shengxian, Ouyang, Tinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685775/
https://www.ncbi.nlm.nih.gov/pubmed/36440169
http://dx.doi.org/10.1021/acsomega.2c03468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685775/
https://www.ncbi.nlm.nih.gov/pubmed/36440169
http://dx.doi.org/10.1021/acsomega.2c03468

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