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Article

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Title

The Moth-Flame Optimization Algorithm of Abrasive Water Jet Cutting Process

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

2024

Published in

Procedia Computer Science

Journal year: 2024 | Journal volume: 246

Article type

scientific article / paper

Publication language

english

Keywords
EN
  • Optimization algorithms
  • meta-heuristic algorithms
  • Moth-Flame Optimization algorithm
  • Abrasive Water Jet (AWJ)
Abstract

EN The article presents the possibility of using the Moth-Flame Optimization (MFO) algorithm for Abrasive Water Jet machining (AWJ) of structural steel materials. In order to carry out the optimization, an original program was written in Python programming language. In turn, for this optimization process the objective function was determined using the Response Surface Methodology (RSM). Then, a set of control parameters was determined at which the value of the objective function reaches an extreme value. The optimal value calculated based on the Moth-Flame Optimization algorithm was compared with the value of the best effect determined experimentally.

Pages (from - to)

2912 - 2921

DOI

10.1016/j.procs.2024.09.379

URL

https://www.sciencedirect.com/science/article/pii/S1877050924024128

Presented on

28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), 11-13.09.2024, Seville, Hiszpania

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open repository

Open Access Text Version

final published version

Release date

11.2024

Date of Open Access to the publication

at the time of publication

Ministry points / journal

5

Ministry points / conference (CORE)

70