Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Research activities of the Greek Society of Experimental Mechanics of Materi Vol. 13, No. 50 (2019)

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

Author and affiliation details
  • 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 ORCID iD0000-0002-5768-4285
  • Nikolaos Vaxevanidis Corresponding author 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 vaxev@aspete.gr
DOI
10.3221/IGF-ESIS.50.49
Pages
584-594
Published
Published inVol. 13, No. 50 (2019)Go to the issue

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 3 days
  2. AcceptedUntil the next stage: 0 days
  3. Published

How to cite

APA

Fountas, N., Koutsomichalis, A., Kechagias, J., & Vaxevanidis, N. (2019). Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm. Fracture and Structural Integrity, 13(50), 584–594. https://doi.org/10.3221/IGF-ESIS.50.49

IEEE

N. Fountas, A. Koutsomichalis, J. Kechagias, and N. Vaxevanidis, “Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm,” Fracture and Structural Integrity, vol. 13, no. 50, pp. 584–594, 2019, doi: 10.3221/IGF-ESIS.50.49.

MLA

Fountas, Nikolaos, et al. “Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm.” Fracture and Structural Integrity, vol. 13, no. 50, 2019, pp. 584–594. https://doi.org/10.3221/IGF-ESIS.50.49.

Chicago

Fountas, Nikolaos, Angelos Koutsomichalis, John Kechagias, and Nikolaos Vaxevanidis. 2019. “Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm.” Fracture and Structural Integrity 13 (50): 584–594. https://doi.org/10.3221/IGF-ESIS.50.49.

Harvard

Fountas, N., Koutsomichalis, A., Kechagias, J. and Vaxevanidis, N. (2019) ‘Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm’, Fracture and Structural Integrity, 13(50), pp. 584–594. doi: 10.3221/IGF-ESIS.50.49.

Vancouver

Fountas N, Koutsomichalis A, Kechagias J, Vaxevanidis N. Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm. Fracture and Structural Integrity. 2019;13(50):584-594. doi:10.3221/IGF-ESIS.50.49

BibTeX

@article{fountas2019, author = {Fountas, Nikolaos and Koutsomichalis, Angelos and Kechagias, John and Vaxevanidis, Nikolaos}, title = {Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm}, journal = {Fracture and Structural Integrity}, year = {2019}, volume = {13}, number = {50}, pages = {584--594}, doi = {10.3221/IGF-ESIS.50.49}, url = {https://doi.org/10.3221/IGF-ESIS.50.49}, issn = {1971-8993} }

RIS

TY - JOUR AU - Fountas, Nikolaos AU - Koutsomichalis, Angelos AU - Kechagias, John AU - Vaxevanidis, Nikolaos TI - Multi-response optimization of CuZn39Pb3 brass alloy turning by implementing Grey Wolf algorithm JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2019 DA - 2019/09/03 VL - 13 IS - 50 SP - 584 EP - 594 DO - 10.3221/IGF-ESIS.50.49 UR - https://doi.org/10.3221/IGF-ESIS.50.49 SN - 1971-8993 ER -

Licence

Copyright © 2019 Nikolaos Fountas, Angelos Koutsomichalis, John Kechagias, Nikolaos Vaxevanidis.

Copyright 
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