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Comparative Study on Thermal Behaviour, Tool Wear and Surface Roughness in Milling EN8 Steel for Sustainable
Thenarasu Mohanavelu1, Narassima Madhavarao Seshadri2, Sreeranjani Vijayakumar1
1Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.
Materials (Basel, Switzerland)
|March 14, 2026
Summary
Dry milling of EN8 steel shows down-milling significantly reduces tool wear and improves surface finish compared to up-milling. This sustainable manufacturing approach optimizes cutting parameters for better performance.
Area of Science:
- Materials Science
- Manufacturing Engineering
- Tribology
Background:
- Dry machining is crucial for sustainable manufacturing but faces challenges like tool wear and thermal instability.
- Medium-carbon steels, such as EN8, are widely used, necessitating efficient machining strategies.
Purpose of the Study:
- To evaluate the kinematic-tribological performance of EN8 steel during dry milling.
- To compare up-milling and down-milling strategies for optimizing tool life and surface finish.
Main Methods:
- Utilized response surface methodology (RSM) with a central composite design (CCD) for 36 experimental runs.
- Investigated the interactions of spindle speed, feed rate, and depth of cut.
- Employed Grey Relational Analysis (GRA) to determine multi-objective optimal cutting parameters.
Main Results:
- Down-milling demonstrated superior performance, yielding 12.4% less tool wear, a 45.9% better surface finish, and a 47 °C lower peak cutting temperature.
- Attributed down-milling's advantages to favorable chip formation kinematics, reduced entry friction, and enhanced heat dissipation.
- Identified optimal parameters for down-milling: mid-range cutting speed (22.31 m/min) and low feed rate (25 mm/min).
Conclusions:
- Down-milling offers significant kinematic-tribological benefits over up-milling for dry machining of EN8 steel.
- A kinematic-tribological coupling exists, providing a unified approach for optimizing dry machining processes.
- The findings offer a practical strategy for enhancing the efficiency and sustainability of machining harder materials.
Keywords:
grey relational analysis (GRA)response surface methodology (RSM)sustainable machiningthermal imagingtool wear and surface roughnessMore Related Videos
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