BP neural network regularized by wall temperature characteristics to reduce the ill-posedness of two-dimensional inverse heat transfer problems in rotating disk cavities-Reference-Cited by-同舟云学术

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BP neural network regularized by wall temperature characteristics to reduce the ill-posedness of two-dimensional inverse heat transfer problems in rotating disk cavities

Published:2024-09 Issue: Volume:203 Page:109145
ISSN:1290-0729
Container-title:International Journal of Thermal Sciences
language:en
Short-container-title:International Journal of Thermal Sciences

Author:

Deng Changchun,Qiu Tian,Liu Peng,Ding Shuiting,Luo Xiang

Publisher

Elsevier BV

Reference41 articles.

1. Effect of pin fins on jet impingement heat transfer over a rotating disk;Bhansali;J. Heat Tran.,2022

2. CFD analysis of flow and heat transfer in a direct transfer preswirl system;Javiya;J. Turbomach.,2012

3. Effect of bolts on flow and heat transfer in a rotor–stator disk cavity;Mohamed;J. Eng. Gas Turbines Power,2017

4. Flow and heat transfer characteristics in a pre-swirl rotor-stator cavity;Yang;Int. J. Therm. Sci.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative Improvement of Business Laboratory Management Efficiency under the Internet+ Mode;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Using Neural Networks to Reduce the Ill-Posedness of Inverse Heat Transfer Problems in the Temperature Rise Transient Process of a Rotating Disk;2024

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