JOURNAL ARTICLE

Experimental study on helical milling of blind holes in Carbon Fiber Reinforced Polymer

Anyuan JiaoE. D. LuWanshun ZangXue Li

Year: 2025 Journal:   International Journal of Lightweight Materials and Manufacture Vol: 8 (6)Pages: 793-804   Publisher: Elsevier BV

Abstract

Machining high-quality blind holes in Carbon Fiber Reinforced Polymer (CFRP) presents significant challenges due to its anisotropic structure, abrasive fibers, and susceptibility to defects such as delamination and fiber pullout. This study explores the application of helical milling technology for CFRP blind hole fabrication, which enhances machining quality by reducing cutting forces and improving surface integrity. Kinematic analysis and simulation of the helical toolpath are conducted using MATLAB to reveal the bottom surface formation process. Finite element analysis via ABAQUS is performed to evaluate the stress, strain, and cutting force behavior during milling. A three-factor, five-level Central Composite Design (CCD) based on Response Surface Methodology (RSM) is designed to optimize key parameters, including spindle speed, axial cutting depth per revolution, and feed rate. Quality indicators such as maximum inlet tear, bottom surface roughness, and hole diameter accuracy are evaluated. The results show that helical milling combined with RSM-based parameter optimization significantly improves blind hole machining quality and precision, providing theoretical and practical references for the manufacturing of CFRP precision components in aerospace and other fields.

Keywords:
Materials science Polymer Composite material Carbon fiber reinforced polymer Fiber Carbon fibers Fibre-reinforced plastic Reinforced concrete Composite number

Metrics

1
Cited By
2.16
FWCI (Field Weighted Citation Impact)
25
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced machining processes and optimization
Physical Sciences →  Engineering →  Mechanical Engineering
Advanced Surface Polishing Techniques
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced Machining and Optimization Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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