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A reconstruction method of detonation wave surface based on convolutional neural network

  • Published:2022-05 Issue: Volume:315 Page:123068
  • ISSN:0016-2361
  • Container-title:Fuel
  • language:en
  • Short-container-title:Fuel

Author:

Bian Jing,Zhou Lin,Yang Pengfei,Teng Honghui,Ng Hoi Dick

Funder

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Cited by 4 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. Statistical Variability of Quasi-2D Hydrocarbon Detonations;AIAA SCITECH 2024 Forum;2024-01-04

2. Droplet Size Impact on n-Heptane Detonation;Combustion, Explosion, and Shock Waves;2023-10

3. Detonation cell size prediction based on artificial neural networks with chemical kinetics and thermodynamic parameters;Fuel Communications;2023-03

4. The Improved Waves based Surface Energy Analysis using Frictional Force Determination Model;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24
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