Title
Multi-criteria optimization of the water jet cutting process using the MOEA algorithm
Authors
[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee
Scientific discipline (Law 2.0)
[2.3] Information and communication technology[2.9] Mechanical engineering
Year of publication
2025
Published in
Article type
scientific article / paper
Publication language
english
Keywords
EN
- waterjet abrasive cutting
- multi-objective optimisation
- genetic algorithm
Abstract
EN The article explores multi-objective optimization problems (MOOP) commonly encountered in engineering scenarios, focusing specifically on optimizing waterjet abrasive cutting. It uses an evolutionary algorithm (Multi-Objective Evolutionary Algorithm - MOEA) to optimize key process parameters such as maximum cutting depth and minimal roughness. The article presents a mathematical model of multi-criteria methods and discusses Pareto optimality as necessary to solve multiple conflicting objectives. The research utilized MOEA, operating on evolution and natural selection principles, to find Pareto-efficient solutions that balance the trade-offs between objectives. The results included various simulations showing how different settings of parameters like abrasive mass flow rate, pressure, and traverse speed affected the outcomes.
Pages (from - to)
5436 - 5444
License type
CC BY-ND (attribution - no derivatives)
Open Access Mode
open journal
Open Access Text Version
final published version
Release date
11.2025
Date of Open Access to the publication
at the time of publication
Ministry points / journal
5
Ministry points / conference (CORE)
70
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