Results 11 to 20 of about 62 (40)

Machine Learning‐Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems

open access: yesAdvances in Materials Science and Engineering, Volume 2022, Issue 1, 2022., 2022
Cutting force is one of the significant parameters in the metal cutting process. The metal cutting process is the primary in the production and manufacturing industry to produce high‐quality products. Every production and manufacturing needs to develop a technology, i.e., a cooling or lubrication system at the cutting zone while doing the metal cutting
Gurpreet Singh   +8 more
wiley   +1 more source

HYBRID MACHINE LEARNING AND GREY WOLF OPTIMIZER FRAMEWORK FOR MULTI-RESPONSE PARAMETRIC OPTIMIZATION IN MICRO-EDM DRILLING OF NIMONIC C263 SUPERALLOY USING SILVER-COATED BRASS TUBULAR ELECTRODES

open access: yesInternational Journal of Engineering Research and Science & Technology
This study presents a machine learning (ML)-assisted prediction and Grey Wolf Optimizer (GWO)-based multi-objective optimization framework for Micro-Electrical Discharge Machining Drilling (Micro-EDMD) of Nimonic C263, a nickel-cobalt superalloy widely employed in aerospace and high-temperature structural components.
null Dr. D. Shantanu   +5 more
openaire   +1 more source

High Temperature Deformation Mechanisms in a DLD Nickel Superalloy. [PDF]

open access: yesMaterials (Basel), 2017
Davies S   +3 more
europepmc   +1 more source

Microstructure of Haynes® 282® Superalloy after Vacuum Induction Melting and Investment Casting of Thin-Walled Components. [PDF]

open access: yesMaterials (Basel), 2013
Matysiak H   +9 more
europepmc   +1 more source

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