Publications

@article{gonzalez-laguna_design_2015,

title = {Design of a TCM system based on vibration signal for metal turning processes},

author = {Adalberto González-Laguna and Joaquín Barreiro and A Fernández-Abia and Enrique Alegre and Víctor González-Castro},

url = {https://www.sciencedirect.com/science/article/pii/S1877705815044239},

year  = {2015},

date = {2015-01-01},

journal = {Procedia engineering},

volume = {132},

pages = {405–412},

abstract = {This paper investigates the identification of cutting tool wear in steel dry turning operations using vibration signal analysis. By analyzing RMS value evolution and FFT frequency spectra, an on-line tool condition monitoring system was developed to determine when the tool condition becomes unacceptable, affecting machining quality. The study concludes that both RMS values and specific frequency amplitude ranges are correlated with tool wear.},

note = {Publisher: No longer published by Elsevier},

keywords = {Monitoring, TCM, Tool wear, Turning, Vibration},

pubstate = {published},

tppubtype = {article}

}