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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 3-4/2021

06.08.2021 | ORIGINAL ARTICLE

Machinability study and ANN-MOALO-based multi-response optimization during Eco-Friendly machining of EN-GJL-250 cast iron

verfasst von: Aissa Laouissi, Mourad Nouioua, Mohamed Athmane Yallese, Hammoudi Abderazek, Hichem Maouche, Mohamed Lamine Bouhalais

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2021

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Abstract

The current work examines the performance of Minimum Quantity Lubrication when turning of EN-GJL-250 cast iron compared to dry and wet cooling methods. The Taguchi design L36 has been chosen for the planification of experimentation. Then, ANOVA has been established after data acquisition in order to define the effect of cutting conditions such as the used inserts, cutting depth, feed rate and cutting speed on the studied factors. Furthermore, the surface roughness has been deeply studied using 3D roughness topography to evaluate the MQL effect. Finally, the approach ANN-MOALO was found to be helpful for future industrial applications for predicting part quality and power consumption with accurate results and optimizing cutting parameters that helps to achieve the best production control.
Vorheriger Artikel Study of dieless radial spinning for thick-walled cylindrical parts with external grooves
Nächster Artikel Experimental and numerical investigation of forming defects and stress analysis in laser-welded blanks during deep drawing process

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Metadaten
Titel
Machinability study and ANN-MOALO-based multi-response optimization during Eco-Friendly machining of EN-GJL-250 cast iron
verfasst von
Aissa Laouissi
Mourad Nouioua
Mohamed Athmane Yallese
Hammoudi Abderazek
Hichem Maouche
Mohamed Lamine Bouhalais
Publikationsdatum
06.08.2021
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-07759-z

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