Investigation on Selected Meta-heuristic Algorithms for Optimization the Abrasive Water Jet Cutting Process - Preliminary Results
[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] pracownik
[2.2] Automatyka, elektronika, elektrotechnika i technologie kosmiczne[2.9] Inżynieria mechaniczna
2024
rozdział w monografii naukowej / referat
angielski
EN The aim of this study is to present the effectiveness of two algorithms, namely Simulated Annealing (SA) and Grey Wolf Optimization (GWO), in the optimization of the water-abrasive cutting process. The aim was to maximize the thickness of the cut by accurately predicting the optimum parameters of the water-abrasive cutting process, including the nozzle diameter, the concentration of the abrasive, and the feed rate. The objective function for the optimization has been derived using the Response Surface methodology. The results highlight the potential utility of the SA and GWO algorithms in the effective solution of optimization problems in the context of waterjet cutting processes.
2024
20032-1 - 20032-6
inne
witryna wydawcy
ostateczna wersja opublikowana
03.2023
w momencie opublikowania
20,0
