In this study, advanced machine learning techniques were utilized to forecast the
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …

Frost formation on evaporator fins significantly reduces their thermal performance, which can
be handled via frost retardation and periodic defrosting methods. Focusing on electrical as …

This study introduces for the first time a rectangular winglet vortex generator with multi-
perforations (MPRWVG) and examines its impact on flow and heat transfer when inserted …

In recent years, modeling of heat exchanger is increased due to transient prediction,
optimization, and performance calculations. Nanofluids play a vital role in increasing heat …

This study develops an effective tool for the fast design of compact heat exchangers (CHEs)
based on CFD simulations and various artificial intelligence (AI) technologies. Four AI …

In this study, an optimization method using various multi-output regression models as model
proxies within the NSGA-II framework was applied to determine the geometric parameters …

The accuracy of a fuzzy system's approximation is closely tied to the performance of fuzzy
control systems design, while this system's interpretability depends on the description of a …

In present study mainly the effect of inserting a coil wire type turbulator into a concentric type
heat exchanger on its entropy generation (N s), efficiency (ε) and exergy destruction (E⁎), is …

To address the issue of low efficiency in cooling heat exchangers at the deeper ends of mine
fans, we propose a micro-unit approach for arranging the cooling water flow path within the …

This study examines how printing parameters affect the roughness, tensile strength, and
elongation of 3D-printed parts used in various applications. Machine learning-based …