Prediction of Surface Roughness Using Machine Learning Approach in MQL Turning of AISI 304 Steel by Varying Nanoparticle Size in the Cutting Fluid

Prediction of Surface Roughness Using Machine Learning Approach in MQL Turning of AISI 304 Steel by Varying Nanoparticle Size in the Cutting Fluid

Surface roughness is considered as an important measuring parameter in the machining industry that aids in ensuring the quality of the finished product. In turning operations, the tool and workpiece contact develop friction and cause heat generation, which in turn affects the machined surface. The u...

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Hlavní autoři: Vineet Dubey, Anuj Kumar Sharma, Danil Yurievich Pimenov
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-05-01
Edice:Lubricants
Témata:
turning
lubrication
machining
cutting fluid
nanofluid
machine learning
On-line přístup:https://www.mdpi.com/2075-4442/10/5/81

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https://www.mdpi.com/2075-4442/10/5/81

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