Heat load prediction in flow boiling using boiling-induced vibrations aided with machine learning
This study delves into the analysis of boiling-induced vibrations observed during a flow boiling experiment and explores their potential in predicting heat load through machine learning models. The frequency spectral analysis revealed that the dominant frequency ranges between 6.5 – 12.5 kHz, deline...
Saved in:
Main Authors: | Barathula, Sreeram, Kandasamy, Ranjith, Fok, Priscilla Jia Yuan, Wong, Teck Neng, Leong, Kai Choong, Srinivasan, K. |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/180737 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A correlation for confined nucleate boiling heat transfer
by: Chan, M.A., et al.
Published: (2014) -
Film boiling suppression and boiling heat transfer enhancement by dielectrophoretic effect
by: Nguyen, Thien-Binh, et al.
Published: (2023) -
Flow boiling heat transfer enhancement of R134a in additively manufactured minichannels with microengineered surfaces
by: Ye, Hanyang, et al.
Published: (2024) -
Universality of oscillating boiling in Leidenfrost transition
by: Khavari, Mohammad, et al.
Published: (2017) -
Experimental investigation of flow boiling heat transfer and instabilities in straight microchannels
by: Balasubramanian, K., et al.
Published: (2014)