Hybrid Modelling and Optimization of the Oblique Cutting of AISI 1045 Steel

Iván La Fé Perdomo, Ramón Quiza, Marcelino Rivas and Veena Ramtahalsing
Additional contact information
Iván La Fé Perdomo: Study Centre on Advanced and Sustainable Manufacturing, University of Matanzas, Matanzas, Cuba
Ramón Quiza: Study Centre on Advanced and Sustainable Manufacturing, University of Matanzas, Matanzas, Cuba
Marcelino Rivas: Study Centre on Advanced and Sustainable Manufacturing, University of Matanzas, Matanzas, Cuba
Veena Ramtahalsing: Fuescon, Wanica, Suriname

International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), 2018, vol. 8, issue 4, 1-22

Abstract: Optimization is a very important issue in mechanical industry, especially in machining processes, where different aspects must be considered. Thus, selecting the most proper cutting conditions plays a key role for obtaining efficient and competitive products. This article proposes a hybrid approach for modelling and optimizing the oblique turning processes. Analytical modelling and statistical regressions are combined for predicting the values of the most important parameters involved in the oblique cutting process. The predictions of the model were validated by using experimental data, showing coincidence for a 95%-confidence level. Then, an a posteriori multi-objective optimization is carried out by using a genetic algorithm. Two important and conflicting objectives are simultaneously considered: unit cutting time and tool wear rate, which describe the productivity and tool waste, respectively. The outcome of the optimization process is a set of non-dominated solutions, which are optimal in the wide sense that no other solution in the search space can improve one objective without worsen the other one. Finally, the decision-maker chooses the most convenient solution depending on the actual workshop conditions.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJMMME.2018100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jmmme0:v:8:y:2018:i:4:p:1-22

Access Statistics for this article

International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME) is currently edited by J. Paulo Davim

More articles in International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME) from IGI Global
Bibliographic data for series maintained by Journal Editor ().