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

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.