Particle Swarm Optimization (PSO) is a powerful nature-inspired metaheuristic optimization method that may determine optimal solutions of engineering problems in fewer evaluations compared to other optimization methods. ...

Electrical submersible pumps (ESP) are a pump classification, which is typically connected to an application of transporting fluids located in submersible elevations into supply pipelines. These pumps type can be found in ...

The flow interaction and the heat transfer between an impinged water jet and a hot steel surface affects the cooling process at the run-out table (ROT) of the steel mills facility. Eventually, the steel quality in terms ...

In rotating machinery, rolling element bearings are one of the most critical components and a large majority of system failures arise from faulty bearings. Hence, there is an increasing demand to find an effective and ...

he cooling process of steel strips on the run-out table (ROT) is simulated using 2-D modelings. The effect of nonuniform heat flux in the width direction on the coiling temperature is investigated using transverse 2-D ...

Most of the industrial fields, especially oil and gas, involve the application of electrical submersible pump (ESP) for flow transport. The pump performance will deteriorate depending on conditions of usage. The main ...

Boundary layer separation and vortex formation cause unappealing deterioration of pump pressure head. The purpose of this research paper is to correlate formation of vortices with near-wall shear stresses resulting in a ...

Electrical submersible pumps (ESP) are referred to as a pump classification whose applications are based upon transporting fluids from submersible elevations towards a fixed pipeline. Specific ESP pumps are utilized in ...

An Electrical Submersible Pump (ESP) is the most commonly used artificial lifting method in the oil and gas industry through conversion of kinetic energy to pump pressure head; however, issues like gas entrainment and ...

Particle Swarm Optimization (PSO) is a powerful nature-inspired metaheuristic optimization method that may determine optimal solutions of engineering problems in fewer evaluations compared to other optimization methods. ...