This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-
Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary …

Hybrid nanofluids are emerging as a new generation fluids because of their enhanced heat
transport properties. In this work, thermal transport properties were investigated for …

Double pipe heat exchangers, owing to their simplicity in construction and ease of
maintenance, are being widely used in refineries, food processing units and pharma …

Double pipe heat exchangers, or DPHEs, are employed in the power, oil, and process
sectors. They cannot handle demanding applications. They have restrictions if they have to …

The most common method of improving the thermal performance of the conventional fluids is
adding the solid particles to the base fluid. This even though increases the thermal …

Hybrid nanofluids (HNF's) can perform as promising heat transfer fluids because of their
enhanced thermo-physical characteristics. However, there are certain limitations of using …

This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-
Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary …

This research article describes a statistical analysis of heat transfer by developing an
artificial neural network-based machine learning model. Automotive heat removal levels are …

CURRICULUM VITAE Page 1 ةيرشبلا دراوملا ةرئاد Human Resources Department F096-1,
Rev. b Ref.: Planning and Quality Assurance Department, Decision No.: 12, Date: 09/12/2024 …