The presence of magnetic field results in a reduction in natural convective heat transfer and
entropy generation in cavities. The use of nanofluids improves the performance of thermal …

Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …

To optimize the process parameters of laser cladding Fe-based alloy on Q345B steel, a
single-pass laser cladding experiment was conducted by response surface methodology …

This study predicts the parameters such as viscosity and thermal conductivity in silica-
alumina-MWCN/water nanofluid using the artificial intelligence method and using design …

This study aims to investigate the viscosity behavior of multi-walled carbon nanotube
(MWCNT)-titanium dioxide (TiO 2)(40− 60)-SAE50 oil nanofluid using an Artificial Neural …

As the transport sector is responsible for the consumption of a vast proportion of the oil
produced, it is mandatory to research feasible solutions to tackle this issue. The application …

This article addresses the challenges of load curve variability in integrated energy systems
(IES) and emphasizes carbon neutralization in response to global environmental concerns …

One of the important categories in office spaces is the control of daylight and energy
consumption. By controlling natural light, it is possible to provide uniform light in the entire …

Robotic belt grinding is a productive method frequently used to finish intricate parts. To
address the challenges of ensuring grinding efficiency and quality due to the complexity of …

The research used an artificial neural network (ANN) model to examine the rheological
properties of hybrid non-Newtonian ferrofluids (HNFFs) composed of Fe-CuO, water, and …