Multi-Objective Metaheuristic Optimization for Enhancing Wear Characteristics in Al6060/Si3N4/Bn Hybrid Composites

Abstract

This paper is devoted to research work on the tribological parameters of Si3N4/BN coating composites whose goal is to minimize the wear rate and COF (coefficient of friction). A variety of experimental studies were carried out employing several parameter variations such as various amplitudes of applied loading, sliding speed, distance, and Si3N4 and BN weight fractions. The experimental results were applied to make a sense of the models which expressed the COF and the wear rate with the Si3N4 and BN weight percentages; applied load; sliding velocity as well as sliding distance. Predictive models were calibrated on platform and experimental results and have shown good agreement. Furthermore, among cause identification was performed an in-depth mistake analysis to reveal affects on the accuracy of prediction. The paper will then branch out into multi-objective optimization through applying various algorithms, such as Particle Swarm (PSO), Firefly Algorithm, Cuckoo-Search, Grey Wolf Optimization (GWO), Multi-objective Teaching-Learning Based Optimization (MOTLBO), and Genetic Algorithm mixed with Non-dominated Sorting Genetic Algorithm II (GA-NSGA-II The optimized tribological parameters were figured out. For instance, it was revealed at what weight percentages Si3N4 and BN were optimal, how applied normal load and sliding velocity should be and how far sliding distance ought to be. The work is summarized in a part depicting the validation of models as predictive and the targeting of multiple objectives to further enhance the overall tribological results. The real world implications of enhancing abrasion resistance as regards composite coatings which consist of Si3N4/BN particles and the potential uses in different industries are described as well. Apart from this, it is also suggested to perform several additional experiments for this purpose, such as the testing different optimization algorithms and analyzing different impacting parameters. It contributes to the response of the tribological influence on composite coating revealing more complex data about molecular processes that are consequently useful for shell-like materials design.