Tool Wear Assessment in Composite Helical Milling via Acoustic Emission Monitoring

This study investigates the machining challenges of fiber-reinforced composite materials (FRCMs), focusing on carbon fiber-reinforced polymer (CFRP) plates, which exhibit high abrasiveness, delamination tendency, and accelerated tool wear. Two solid carbide helical end mills, designed for composite machining, were evaluated through helical interpolation drilling. Acoustic emission signals were continuously acquired via a piezoelectric sensor during standardized cycles, and tool wear was assessed using confocal microscopy and a digital altimeter. Signal processing played a central role, combining energy-based metrics and damage indices to identify the onset of wear and early delamination, enhancing the understanding of tool degradation and improving machining reliability.

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Publication Details

Published
2025-11-07
DOI
https://doi.org/10.3390/ecsa-12-26547
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

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Tool Wear Assessment in Composite Helical Milling via Acoustic Emission Monitoring

Advanced machining processes and optimization
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Tool Wear Assessment in Composite Helical Milling via Acoustic Emission Monitoring

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Abstract

This study investigates the machining challenges of fiber-reinforced composite materials (FRCMs), focusing on carbon fiber-reinforced polymer (CFRP) plates, which exhibit high abrasiveness, delamination tendency, and accelerated tool wear. Two solid carbide helical end mills, designed for composite machining, were evaluated through helical interpolation drilling. Acoustic emission signals were continuously acquired via a piezoelectric sensor during standardized cycles, and tool wear was assessed using confocal microscopy and a digital altimeter. Signal processing played a central role, combining energy-based metrics and damage indices to identify the onset of wear and early delamination, enhancing the understanding of tool degradation and improving machining reliability.

Serviço Nacional de Aprendizagem Industrial (BR), Universidade de São Paulo (BR), Institute of Physics (PL), Institute of Mathematics and Computer Science (MD)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 47%
Advanced machining processes and optimization
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Tool Wear Assessment in Composite Helical Milling via Acoustic Emission Monitoring · (2025) | TGRS Research Map | TGRS