Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Multi-criteria optimization of the water jet cutting process using the MOEA algorithm. |
| Συγγραφείς: |
Kawecka, Elzbieta1 (AUTHOR) ekawecka@ajp.edu.pl, Podhajecki, Jerzy1 (AUTHOR), Perec, Andrzej1 (AUTHOR) |
| Πηγή: |
Procedia Computer Science. 2025, Vol. 270, p5436-5444. 9p. |
| Θεματικοί όροι: |
Multi-objective optimization, Water jet cutting, Pareto optimum, Mathematical analysis, Engineering, Abrasive machining |
| Περίληψη: |
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. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: |
Supplemental Index |