Optimization of milling process of AISI 4340 Steel for enhanced tool life and surface quality using response surface methodology and bayesian technique

Optimization of milling process of AISI 4340 Steel for enhanced tool life and surface quality using response surface methodology and bayesian technique

Milling is a widely used machining process in the manufacturing industry employed to remove material from a workpiece. Cutting inserts suffer wear during milling operations, lowering their useful tool life. In order to reduce friction and energy consumption, several nanoparticles (NPs) have been stu...

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Bibliographic Details
Main Authors: Laura Peña-Parás, Martha Rodríguez-Villalobos, Demófilo Maldonado-Cortés, Elisa Margarita Mendoza-Zamarripa, Stephany Elizabeth Vargas-Piedra, Sumaiya Saima Sultana, Octavio Muñiz-Cepeda, Héctor de la Fuente
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
nanolubricants
milling
Surface Response Methodology
Bayesian Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025011727
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