Genetic Algorithm for Sensitivity Analysis of Automobile Hood Four-bar Mechanism Synthesis Using Motion Generation

Abstract

In four-bar motion generation, linkage dimensions are calculated to achieve prescribed coupler positions. This work investigates the sensitivity of four-bar coupler motion sequences by analyzing position error margins and implementing a genetic algorithm (GA) for four-bar motion generation. As an application, the four-bar hood mechanism in the Plymouth Satellite mid-size automobile is considered. The results of the sensitivity analysis show that the mean average structural error between the prescribed and achieved hood positions is less than 0.015in for any quadratic analysis. In each demonstration, the proposed method consistently produced results that are scalable for 360° within a margin error of 0.06in.

Optimization with Genetic Algorithm (GA): Planar Mechanism Synthesis

“…Al-Smadi et al ( 2022) investigated the sensitivity of four-bar coupler motion by analyzing position error employing GA for the four-bar mechanism. The hood mechanism chooses the Plymouth Satellite automobile as the case study [18]. In the course of optimization, an engineering issue is de ned by considering the boundaries of the problem.…”

A Novel Single Parent Mating Technique in Genetic Algorithm for Discrete – Time System Identification

“…With the emergence of various meta-heuristic methods today, such as evolutionary computation and genetic algorithm, many researchers took the advantage of incorporating these methods to increase the efficiency in optimization. GA had been applied in image processing, laser technology, aeronautics, robotics and many more practical problem areas successfully [8][9][10][11][12]. Works involving the use of evolutionary computation in system identification are widely available [13][14][15][16].…”