DOAJ Open Access 2024

Auto-Tuning Sync in Acoustic Emission Mapping for CFRP Milling

Paulo Vitor Pereira de Oliveira Lucas Zanasi Matheus Fabio Romano Lofrano Dotto Pedro de Oliveira Conceição Junior Alessandro Roger Rodrigues +1 lainnya

Lihat Sumber DOI

Abstrak

In milling applications of CFRP (Carbon Fiber Reinforced Polymer) composites, acoustic emission sensors employing piezoelectric transducers have been used to generate acoustic maps. These maps are crucial for monitoring the condition of both the tool and the workpiece, providing a visual analysis of the tool–workpiece interaction that facilitates decision-making by the operator in case of failures. This study introduces a technique—implemented in the Matlab software—that uses the image generated by the acoustic map to perform automatic alignment during the map’s production, eliminating the need for an external synchronization signal.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (6)

Paulo Vitor Pereira de Oliveira

Lucas Zanasi Matheus

Fabio Romano Lofrano Dotto

Pedro de Oliveira Conceição Junior

Alessandro Roger Rodrigues

Dennis Brandao

Format Sitasi

APA MLA BibTeX

Oliveira, P.V.P.d., Matheus, L.Z., Dotto, F.R.L., Junior, P.d.O.C., Rodrigues, A.R., Brandao, D. (2024). Auto-Tuning Sync in Acoustic Emission Mapping for CFRP Milling. https://doi.org/10.3390/ecsa-11-20478

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.3390/ecsa-11-20478
Akses: Open Access ✓