Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission

Sensors

Antonio Vizan-Idoipe¹  Erardo Leal-Muñoz²  Ricardo Alzugaray-Franz²  Andrés Sio-Sever³  Guillermo de Arcas-Castro³  JuanManuel Lopez-Navarro⁴ 

[1] Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28006 Madrid, Spain;Departamento de Ingeniería Mecánica, Universidad de La Frontera, Temuco 4780000, Chile;Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28040 Madrid, Spain;Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Telemática y Electrónica, Universidad Politécnica de Madrid, 28040 Madrid, Spain;

关键词: microphone;    MEMS;    machining;    milling;    acoustic emission;    process monitoring;   

DOI  :  10.3390/s20185326

来源: DOAJ

【 摘 要 】

This work presents a non-invasive and low-cost alternative to traditional methods for measuring the performance of machining processes directly on existing machine tools. A prototype measuring system has been developed based on non-contact microphones, a custom designed signal conditioning board and signal processing techniques that take advantage of the underlying physics of the machining process. Experiments have been conducted to estimate the depth of cut during end-milling process by means of the measurement of the acoustic emission energy generated during operation. Moreover, the predicted values have been compared with well established methods based on cutting forces measured by dynamometers.

【 授权许可】

Unknown