Study of two-phase flow instabilities began in the late 1920′ s, and in the nearly 100 years
since, significant progress has been made in both experimental and theoretical …

Accurate and universal prediction of in-tube condensation heat transfer coefficients (HTCs)
is vital for designing compact condensers. This study presents machine learning (ML) …

Two alternative correlations are presented for heat transfer during condensation in plain
conventional channels as well as mini/micro channels in all orientations. These have been …

An artificial neural network model was developed to predict convective heat transfer
coefficient (HTC) during condensation of R134a in an inclined smooth tube for the entire …

An improved version of the present author's earlier correlation for heat transfer during
condensation in conventional and mini channels is presented. It has been validated by …

Identifying two-phase flow patterns is fundamental to successfully design and subsequently
optimize high-precision heat transfer equipment, given that the heat transfer efficiency and …

An experimental investigation is conducted to determine the effect of dimpled depth on the
condensation heat transfer coefficient and pressure drop of R-134a flowing inside dimpled …

Direct steam generation coupled is a promising solar-energy technology, which can reduce
the growing dependency on fossil fuels. It has the potential to impact the power-generation …

Heat transfer and pressure drop experiments were conducted in the laminar and transitional
flow regimes at different inclination Grashof numbers that generated different levels of …

Until now, no study that systematically investigated the influence of low mass fluxes and
temperature differences on condensation heat transfer coefficients has been conducted …