Author Page for Qiang Fu

Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

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Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

Number of pages: 23 Posted: 22 Jan 2025

Longqing Lei, Xinhuan Shi, Hong Chen, Feng Liu, Yong Song, Qiang Fu and Wei Chen

Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Sichuan University

Downloads 47 (1,119,531)

Abstract:

Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

Number of pages: 24 Posted: 17 Mar 2025

Longqing Lei, Xinhuan Shi, Hong Chen, Feng Liu, Yong Song, Qiang Fu and Wei Chen

Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Sichuan University

Downloads 26 (1,415,710)

Abstract:

2.

In-Situ Separation of Natural Gas Hydrates and Sediment Backfilling

Number of pages: 24 Posted: 11 Mar 2024

Xiaoxu Duan, Jiwei Wu, Haitao Lin, Qiang Fu, Junlong Zhu, Shouwei Zhou, Wang Guorong, Yuan Huang and Hualin Wang

Sichuan University, Sichuan University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sichuan University, Southwest Petroleum University, Shanghai University and East China University of Science and Technology (ECUST)

Downloads 22 (1,424,331)

Qiang Fu

affiliation not provided to SSRN

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Scholarly Papers (2)

Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

Abstract:

Rapid 2-Dimensional Prediction of Supersonic Film Cooling Effectiveness Based on Data-Driven Convolutional Neural Network (Cnn)

Abstract:

In-Situ Separation of Natural Gas Hydrates and Sediment Backfilling

Abstract: