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Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO

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Abstract

This paper evaluates the energy criteria for machinability during CNC turning of unreinforced polypropylene. The aspects considered are tangential force (\({F}_{Z}\)), cutting power (\({P}_{c}\)), material removal rate (\(MRR\)), cutting energy (\({E}_{c}\)), and specific cutting energy (\({E}_{cs}\)). More specifically, the study examines the effect of turning with minimum quantity lubrication (MQL) and dry cutting, as well as cutting parameters (cutting speed \({V}_{c}\), feed rate \(f\), and depth of cut \({a}_{p}\)) and tool nose radius (\({r}_{\varepsilon }\)). Analysis of variance, artificial neural network, multi-objective water cycle algorithm, and multi-objective ant lion optimizer are mathematical tools used to analyze, model, and optimize responses effectively. The models are validated both experimentally and through the K-fold cross-validation method. Particular emphasis is placed on optimizing the specific cutting energy (SCE) due to its correlation with electricity consumption. Until now, the importance of MQL on SCE consumption has not been reported in the literature regarding polymer machining.

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Abbreviations

MQL:

Minimum quantity lubrication

PP:

Polypropylene

ANOVA:

Analysis of variance

ANN:

Artificial neural network

MOWCA:

Multi-objective water cycle algorithm

MOALO:

Multi-objective ant lion optimizer

CNC:

Computer numerical control

SCE:

Specific cutting energy

\({E}_{cs}\) :

Specific cutting energy

\(MRR\) :

Material removal rate

\({F}_{Z}\) :

Tangential cutting force

\({P}_{c}\) :

Cutting power

\({E}_{c}\) :

Cutting energy

\(Ra\) :

Arithmetic average roughness

\({R}^{2}\) :

Coefficient of determination

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Acknowledgements

This work was achieved in the laboratories of LIMMaS (Tissemsilt University, Algeria) in collaboration with CNC Machine Tools Laboratory (Yildiz Technical University, Istanbul, Türkiye).

Funding

The present research was received funding from the General Directorate of Scientific Research and Technological Development (DGRSDT) under the PRFU research project A11N01UN380120220002.

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Authors and Affiliations

  1. Laboratory of Mechanical Engineering, Materials and Structures, Tissemsilt University, Tissemsilt, 38000, Algeria

    Amine Hamdi

  2. Department of Mechanical Engineering, Yildiz Technical University, 34349, Beşiktaş, Istanbul, Türkiye

    Yusuf Furkan Yapan & Alper Uysal

  3. Mechanics Research Centre, P.B. 73B, 25021, Constantine, Algeria

    Hammoudi Abderazek

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All authors contributed to the study conception, material preparation, and data analysis. All authors read and approved the final manuscript.

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Correspondence to Amine Hamdi.

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Hamdi, A., Yapan, Y.F., Uysal, A. et al. Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO. Int J Adv Manuf Technol 128, 4933–4950 (2023). https://doi.org/10.1007/s00170-023-12205-3

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