Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/18/5326 |
| _version_ | 1797553401249136640 |
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| author | Andrés Sio-Sever Erardo Leal-Muñoz Juan Manuel Lopez-Navarro Ricardo Alzugaray-Franz Antonio Vizan-Idoipe Guillermo de Arcas-Castro |
| author_facet | Andrés Sio-Sever Erardo Leal-Muñoz Juan Manuel Lopez-Navarro Ricardo Alzugaray-Franz Antonio Vizan-Idoipe Guillermo de Arcas-Castro |
| author_sort | Andrés Sio-Sever |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T16:15:55Z |
| format | Article |
| id | doaj.art-b6d86ebae5fe476db580d8dd815760d7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:15:55Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b6d86ebae5fe476db580d8dd815760d72023-11-20T14:06:52ZengMDPI AGSensors1424-82202020-09-012018532610.3390/s20185326Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic EmissionAndrés Sio-Sever0Erardo Leal-Muñoz1Juan Manuel Lopez-Navarro2Ricardo Alzugaray-Franz3Antonio Vizan-Idoipe4Guillermo de Arcas-Castro5Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28040 Madrid, SpainDepartamento de Ingeniería Mecánica, Universidad de La Frontera, Temuco 4780000, ChileGrupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Telemática y Electrónica, Universidad Politécnica de Madrid, 28040 Madrid, SpainDepartamento de Ingeniería Mecánica, Universidad de La Frontera, Temuco 4780000, ChileDepartamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28006 Madrid, SpainGrupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28040 Madrid, SpainThis 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.https://www.mdpi.com/1424-8220/20/18/5326microphoneMEMSmachiningmillingacoustic emissionprocess monitoring |
| spellingShingle | Andrés Sio-Sever Erardo Leal-Muñoz Juan Manuel Lopez-Navarro Ricardo Alzugaray-Franz Antonio Vizan-Idoipe Guillermo de Arcas-Castro Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission Sensors microphone MEMS machining milling acoustic emission process monitoring |
| title | Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission |
| title_full | Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission |
| title_fullStr | Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission |
| title_full_unstemmed | Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission |
| title_short | Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission |
| title_sort | non invasive estimation of machining parameters during end milling operations based on acoustic emission |
| topic | microphone MEMS machining milling acoustic emission process monitoring |
| url | https://www.mdpi.com/1424-8220/20/18/5326 |
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