Data-driven boiling heat transfer performance prediction using vision-based feature modeling

doi:10.1016/j.icheatmasstransfer.2026.112608

Data-driven boiling heat transfer performance prediction using vision-based feature modeling

2026-09-11

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DOI：10.1016/j.icheatmasstransfer.2026.112608

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• Heat flux is predicted from bubble images alone, without surface property inputs. • Four bubble parameters are extracted from high-speed images via image processing. • Equivalent departure diameter has the dominant influence on heat flux prediction. • The correlation shows a similar heat flux trend on plain and FOTS-coated surfaces. • Results support the method's potential for non-intrusive heat flux monitoring.

Keywords:

Boiling heat transfer

Bubble parameters

Equivalent bubble departure diameter

Image processing

Heat flux prediction

Data-driven boiling heat transfer performance prediction using vision-based feature modeling

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