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An Integrated Method for CFRP Drilling Quality Prediction and Multi-Objective Optimization.

An Ping¹, Yibin Zha¹, Yichen Li²

¹College of Mechanical Engineering, Donghua University, Shanghai 201620, China.

Materials (Basel, Switzerland)

|May 27, 2026

Summary

This summary is machine-generated.

The dagger drill significantly improves carbon fiber-reinforced polymer (CFRP) drilling quality over twist drills. A novel fuzzy evaluation model accurately predicts drilling outcomes, enabling multi-objective optimization for enhanced performance.

Keywords:

CFRP drilling multi-objective optimization processing quality

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Area of Science:

Materials Science
Manufacturing Engineering
Polymer Composites

Background:

Carbon fiber-reinforced polymer (CFRP) is vital in aerospace and rail.
Ensuring CFRP joint hole quality is critical for reliability.
Predicting CFRP drilling quality and optimizing parameters is challenging due to complex interactions.

Purpose of the Study:

Analyze CFRP drilling parameters, tool geometry, and quality indicators.
Compare twist drills and dagger drills for CFRP drilling.
Develop a predictive model for CFRP drilling quality and optimize the process.

Main Methods:

Conducted drilling experiments using twist and dagger drills.
Analyzed relationships between drilling parameters, physical indicators, and quality indicators.
Developed a comprehensive fuzzy evaluation prediction model (FCE-NN) and employed NSGA-II with entropy-weighted TOPSIS for multi-objective optimization.

Main Results:

Dagger drills yielded lower thrust force and cutting temperature compared to twist drills.
Dagger drills reduced delamination factor, burr factor, and wall roughness by an average of 20.6%, 95.5%, and 81.1%, respectively.
The FCE-NN model achieved 91.3% average prediction accuracy.

Conclusions:

Dagger drills offer superior performance in CFRP drilling, significantly reducing defects.
The FCE-NN model provides accurate predictions for CFRP drilling quality.
Multi-objective optimization using NSGA-II and TOPSIS effectively balances thrust, delamination, and efficiency.