Predicting Thermal Conductivity of Nanoparticle-Doped Cutting Fluid Oils Using Feedforward Artificial Neural Networks (FFANN)

Predicting Thermal Conductivity of Nanoparticle-Doped Cutting Fluid Oils Using Feedforward Artificial Neural Networks (FFANN)

Machining processes often face challenges such as elevated temperatures and wear, which traditional cutting fluids are insufficient to address. As a result, solutions involving nanoparticle additives are being explored to enhance cooling and lubrication performance. This study investigates the effec...

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Bibliographic Details
Main Authors: Beytullah Erdoğan, Abdulsamed Güneş, İrfan Kılıç, Orhan Yaman
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Micromachines
Subjects:
thermal conductivity
nanoparticle
feedforward artificial neural network (FFANN)
cutting fluids
Online Access:https://www.mdpi.com/2072-666X/16/5/504
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