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Chapter

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Title

Investigation on Selected Meta-heuristic Algorithms for Optimization the Abrasive Water Jet Cutting Process - Preliminary Results

Authors

[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies
[2.9] Mechanical engineering

Year of publication

2024

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

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.

Date of online publication

2024

Pages (from - to)

20032-1 - 20032-6

DOI

10.1063/5.0207626

URL

https://pubs.aip.org/aip/acp/article/3130/1/020032/3279859/Investigation-on-selected-meta-heuristic

Book

XIV International Conference Electromachining 2023

Presented on

XIV International Conference Electromachining 2023, 9-11.10.2023, BYDGOSZCZ, Polska

License type

other

Open Access Mode

publisher's website

Open Access Text Version

final published version

Release date

03.2023

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

20