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Multi-Response Optimization and Predictive Modeling of Drilling Performance in PEEK-CF30 Composites Considering Drill
Mustafa Günay1, Mehmet Boy2, Mehmet Erdi Korkmaz3,4
1Department of Mechanical Engineering, Karabük University, Karabük 78050, Turkey.
Polymers
|May 13, 2026
Summary
Drilling PEEK-CF30 composite with TiCN-coated drills and optimized parameters significantly reduces thrust force, surface roughness, torque, and energy consumption. This ensures better hole quality and efficient processing of advanced thermoplastic composites.
Area of Science:
- Manufacturing Engineering
- Materials Science
Background:
- Drilling quality in carbon fiber-reinforced thermoplastic composites impacts assembly, structure, and sustainability.
- Optimizing drilling parameters is crucial for efficient processing.
Purpose of the Study:
- To compare drill coating types and cutting conditions for PEEK-CF30 composite drilling.
- To identify optimal parameters for minimizing thrust force, surface roughness, torque, and energy consumption.
Main Methods:
- Utilized a hybrid experimental-statistical method with Taguchi L27 design.
- Tested DLC-, TiN-, and TiCN-coated HSS drills with varying cutting speeds and feed rates.
- Measured thrust force, surface roughness, drilling torque, and energy consumption.
Main Results:
- Increased cutting speed and feed rate raised thrust force but lowered torque and energy consumption.
- TiCN-coated drills exhibited the lowest thrust force, surface roughness, torque, and energy consumption.
- Optimal parameters identified: TiCN-coated drill, 40 m/min cutting speed, 0.1 mm/rev feed rate.
- Prediction models showed high accuracy (R² > 94%).
Conclusions:
- Drill coating type significantly influences surface integrity and energy consumption during PEEK-CF30 drilling.
- A hybrid optimization framework aids in selecting optimal drill parameters for efficient composite processing.
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