Grasshopper Optimization Algorithm for Multi-objective Optimization
of Multi-pass Face Milling of Polyamide (PA6) 05-16-04-0027
This also appears in
SAE International Journal of Materials and Manufacturing-V132-5EJ
Milling is a prevalent machining technique employed in various industries for the
production of metallic and non-metallic components. This article focuses on the
optimization of cutting parameters for polyamide (PA6) using carbide tools,
utilizing a recently developed multi-objective, nature-inspired metaheuristic
algorithm known as the Multi-Objective Grasshopper Optimization Algorithm
(MOGOA). This optimization process’s primary objectives are minimizing surface
roughness and maximizing the material removal rate. By employing the MOGOA
algorithm, the study demonstrates its efficacy in successfully optimizing the
cutting parameters. This research’s findings highlight the MOGOA algorithm’s
capability to effectively fine-tune cutting parameters during PA6 machining,
leading to improved outcomes in terms of surface roughness reduction and
enhanced material removal rate.
Citation: Laouissi, A., Abderazek, H., Nouioua, M., and Sadiq, M., "Grasshopper Optimization Algorithm for Multi-objective Optimization of Multi-pass Face Milling of Polyamide (PA6)," SAE Int. J. Mater. Manf. 16(4):379-386, 2023, https://doi.org/10.4271/05-16-04-0027. Download Citation
Author(s):
Aissa Laouissi, Hammoudi Abderazek, Mourad Nouioua, M. Sait Sadiq
Affiliated:
Mechanics Research Center (CRM), Algeria, King Fahd University of Petroleum and Minerals, Department of Computer
Engineering, Saudi Arabia
Pages: 8
ISSN:
1946-3979
e-ISSN:
1946-3987
Related Topics:
Optimization
Mathematical models
Cutting
Machining processes
Milling
Production
Data exchange
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