Exploring the Potential of Eco-Friendly Cutting Fluids in CNC Machining: A Machine Learning-Based Approach

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Key Points

This research aims to evaluate the efficacy of eco-friendly cutting fluids in CNC machining processes using machine learning techniques.
Utilized machine learning algorithms to analyze performance data of cutting fluids.
Compared various eco-friendly fluids against traditional options in CNC machining scenarios.
Assessed key performance indicators such as efficiency and sustainability.
Eco-friendly cutting fluids demonstrated comparable or improved performance relative to traditional fluids.
Machine learning models identified optimal conditions for fluid application.
Findings indicate potential for reduced environmental impact in machining processes.

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Machine learning explores eco-friendly cutting fluids in CNC machining, suggesting a path for sustainable manufacturing.

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Paleti et al. (2026) studied this question.

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