Prediction of QCE using ANN and ANFIS for milling Alloy 2017A
Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine
Published in Advances in mechanical engineering (01.09.2023)
Published in Advances in mechanical engineering (01.09.2023)
Get full text
Journal Article
A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy
Bousnina, Kamel, Hamza, Anis, Yahia, Noureddine Ben
Published in Energy exploration & exploitation (01.03.2024)
Published in Energy exploration & exploitation (01.03.2024)
Get full text
Journal Article
An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm
Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine
Published in Advances in materials and processing technologies (Abingdon, England) (01.09.2023)
Published in Advances in materials and processing technologies (Abingdon, England) (01.09.2023)
Get full text
Journal Article
Predictive optimization of surface quality, cost, and energy consumption during milling alloy 2017A: an approach integrating GA-ANN and RSM models
Bousnina, Kamel, Hamza, Anis, Ben Yahia, Noureddine
Published in International journal on interactive design and manufacturing (01.09.2024)
Published in International journal on interactive design and manufacturing (01.09.2024)
Get full text
Journal Article
An approach to the influence of the machining process on power consumption and surface quality during the milling of 304L austenitic stainless steel
HAMZA, Anis, BOUSNINA, Kamel, BEN YAHIA, Noureddine
Published in Journal of Mechanical Engineering and Sciences (01.09.2022)
Published in Journal of Mechanical Engineering and Sciences (01.09.2022)
Get full text
Journal Article