Burr Detection and Edge Condition in Ceramic Brushing of Glass and Carbon Fabric-Reinforced Composites Using Recurrence Analysis of Force Signals: A Feasibility Study

Burrs formed during the machining of fibre-reinforced polymer composites reduce safety and product quality and are usually inspected off-process. This study assessed whether as-milled edge segments with burrs can be distinguished from burr-free chamfered segments on the basis of the force signal recorded during edge brushing, as a first step towards in-process burr detection, and how brush fibre stiffness affects the edge condition. On one edge of glass (GFRP) and carbon (CFRP) fabric-reinforced specimens, positioned at 45° to the tool axis, chamfered segments 0.1–0.4 mm deep, representing a burr-free edge, alternated with as-milled segments with burrs. The edges were brushed with four ceramic-fibre brushes of increasing stiffness (S1–S4) at constant parameters, and the force signal was analysed using recurrence plots (RP) and recurrence quantification analysis (RQA). Chamfers 0.1 mm deep did not produce unambiguous changes in the recurrence structure. For the stiff brushes (S3, S4), chamfers 0.2–0.4 mm deep produced local RP densifications consistent with their location. In the RQA, for chamfers ≥ 0.2 mm, DET (determinism) and L (average diagonal line length) mostly rose above and LAM(laminarity) and TT (trapping time) fell below the burred-edge reference levels. The chamfer width produced by brushing increased with fibre stiffness, from 588 to 1040 µm (GFRP) and from 389 to 1005 µm (CFRP). Under the tested conditions, the force signal distinguished the two edge conditions; its use for detecting burrs themselves requires further validation on edges with quantified burrs.

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Journal
Materials
Published
2026-11-09
DOI
https://doi.org/10.3390/ma19214763
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Burr Detection and Edge Condition in Ceramic Brushing of Glass and Carbon Fabric-Reinforced Composites Using Recurrence Analysis of Force Signals: A Feasibility Study

Jakub Matuszak, Krzysztof Ciecieląg
Materials
Advanced machining processes and optimization
article

Burr Detection and Edge Condition in Ceramic Brushing of Glass and Carbon Fabric-Reinforced Composites Using Recurrence Analysis of Force Signals: A Feasibility Study

Jakub Matuszak, Krzysztof Ciecieląg
article en

Abstract

Burrs formed during the machining of fibre-reinforced polymer composites reduce safety and product quality and are usually inspected off-process. This study assessed whether as-milled edge segments with burrs can be distinguished from burr-free chamfered segments on the basis of the force signal recorded during edge brushing, as a first step towards in-process burr detection, and how brush fibre stiffness affects the edge condition. On one edge of glass (GFRP) and carbon (CFRP) fabric-reinforced specimens, positioned at 45° to the tool axis, chamfered segments 0.1–0.4 mm deep, representing a burr-free edge, alternated with as-milled segments with burrs. The edges were brushed with four ceramic-fibre brushes of increasing stiffness (S1–S4) at constant parameters, and the force signal was analysed using recurrence plots (RP) and recurrence quantification analysis (RQA). Chamfers 0.1 mm deep did not produce unambiguous changes in the recurrence structure. For the stiff brushes (S3, S4), chamfers 0.2–0.4 mm deep produced local RP densifications consistent with their location. In the RQA, for chamfers ≥ 0.2 mm, DET (determinism) and L (average diagonal line length) mostly rose above and LAM(laminarity) and TT (trapping time) fell below the burred-edge reference levels. The chamfer width produced by brushing increased with fibre stiffness, from 588 to 1040 µm (GFRP) and from 389 to 1005 µm (CFRP). Under the tested conditions, the force signal distinguished the two edge conditions; its use for detecting burrs themselves requires further validation on edges with quantified burrs.

MaterialsVol. 19(21)
Lublin University of Technology (PL)
Advanced machining processes and optimization
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Burr Detection and Edge Condition in Ceramic Brushing of Glass and Carbon Fabric-Reinforced Composites Using Recurrence Analysis of Force Signals: A Feasibility Study — Jakub Matuszak, Krzysztof Ciecieląg · Materials (2026) | TGRS Research Map | TGRS