Modelling and Analysis of the Cone Coupling Problem Using Optimization

Abstract

A coupling is a mechanism that transmits operative power between two shafts that are revolving at different speeds. A coupling connects two shafts at their ends and can slip or fail depending on the torque limit. It is an essential component of any power transmission system and may survive for a very long time if properly designed and maintained. This study's current research, a newly developed optimization algorithms are used to minimize the volume of cone coupling. The current study presented here compares modern metaheuristic methods for optimizing the design of the cone coupling problem. The algorithms used are particle swarm optimization (PSO), crow search algorithm (CSA), enhanced honeybee mating optimization (EHBMO), Harmony search algorithm (HSA), Krill heard algorithm (KHA), Pattern search algorithm (PSA), Charged system search algorithm (CSSA), Salp swarm algorithm (SSA), Big bang big crunch optimization (B-BBBCO), Gradient based Algorithm (GBA). The performance of these algorithms is assessed both statistically and subjectively. The algorithms' performance is evaluated quantitatively and qualitatively using consistency, simplicity and quality. The experimental results on the cone clutch problem shows that PSO produces greater results than EHBMO, whereas CSA and BBCO produce approximately identical results.

Numerical Analysis in a Lid-Driven Square Cavity with Hemispherical Obstacle in the Bottom

“…The conservations of mass, momentum, and energy are the governing equations for incompressible, steady, and twodimensional flow, and they may be expressed as follows [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]: If the x-and y-components of velocity are u and v, g is the gravitational acceleration vector, 𝜌 is the fluid density, P is the pressure, 𝜇 is the fluid dynamic viscosity, 𝛽 is the coefficient of thermal expansion (β=1/Tf), T is the fluid temperature, Tf is the reference fluid temperature, and k is the fluid thermal conductivity. With the exception of the Boussinesq approximation, the fluid characteristics remain constant.…”