Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm

Nikolaos Fountas; Angelos Koutsomichalis; John Kechagias; Nikolaos Vaxevanidis

doi:10.3221/IGF-ESIS.50.49

Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm

Authors

Nikolaos Fountas School of Pedagogical and Technological Education, Department of Mechanical Engineering Educators, Laboratory of Manufacturing Processes and Machine Tools, ASPETE Campus, GR 14121, N. Heraklion, Greece
Angelos Koutsomichalis Hellenic Air-Force Academy, Faculty of Aerospace Studies, Dekelia Air Force Base, GR 19005, Greece
John Kechagias Technological Educational Institute of Thessaly, Mechanical Engineering Department, TEI Campus, GR 41110, Larissa, Greece https://orcid.org/0000-0002-5768-4285
Nikolaos Vaxevanidis School of Pedagogical and Technological Education, Department of Mechanical Engineering Educators, Laboratory of Manufacturing Processes and Machine Tools, ASPETE Campus, GR 14121, N. Heraklion, Greece

DOI:

https://doi.org/10.3221/IGF-ESIS.50.49

Keywords:

Turning, Surface roughness, Cutting forces, Multi-parameter analysis, Optimization, Grey Wolf algorithm

Abstract

Machinability of engineering materials is crucial for industrial manufacturing processes since it affects all the essential aspects involved, e.g. workload, resources, surface integrity and part quality. Two basic machinability parameters are the surface roughness, closely associated with the functional and tribological performance of components, and the cutting forces acting on the tool. Knowledge of the cutting forces is needed for estimation of power requirements and for the design of machine tool elements, tool-holders and fixtures, adequately rigid and free from vibration. This work investigates the influence of cutting conditions on machinability indicators such as the main cutting force Fc and surface roughness parameters Ra and Rt when longitudinally turning CuZn39Pb3 brass alloy. Full quadratic regression models were developed to correlate the machining conditions with the imparted machinability characteristics. Further on, an advanced artificial grey wolf optimization algorithm was implemented to optimize the aforementioned responses with great success in finding the final optimal values of the turning parameters.

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Published

03-09-2019

Issue

Vol. 13 No. 50 (2019): October 2019

Section

SI: Research activities of the Greek Society of Experimental Mechanics of Materi

License

Copyright
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.

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How to Cite

Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm. (2019). Frattura Ed Integrità Strutturale, 13(50), 584-594. https://doi.org/10.3221/IGF-ESIS.50.49