Describe the I3D (Inflated 3D) training on the dataset. Results: Present the accuracy of heat flux estimation. Discussion: Analyze how the model performs on the video. 5. Conclusion
Discuss previous work on nucleate pool boiling, referencing Chun & Kang.
Describe the high-speed video capture of the boiling events. pool.mp4
Summary of the 3D CNN's ability to map visual boiling features to thermal measurements. To make this paper truly "solid,"
Propose a 3D CNN model to estimate heat flux using pool.mp4 . 2. Related Work Describe the I3D (Inflated 3D) training on the dataset
Highlight the difficulty in measuring instantaneous heat flux in real-time.
(pressure, temperature, tube geometry) shown in the video? Compare the results to traditional empirical correlations ? Summary of the 3D CNN's ability to map
Explain how the video is converted into a 3D dataset (height, width, time).