Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Andrés Sio-Sever"'
Autor:
Andrés Sio-Sever, Juan Manuel Lopez, César Asensio-Rivera, Antonio Vizan-Idoipe, Guillermo de Arcas
Publikováno v:
Sensors, Vol 22, Iss 10, p 3807 (2022)
This paper presents the implementation of a measurement system that uses a four microphone array and a data-driven algorithm to estimate depth of cut during end milling operations. The audible range acoustic emission signals captured with the microph
Externí odkaz:
https://doaj.org/article/99165230e96d46f48a7c8481e996fd99
Autor:
Andrés Sio-Sever, Erardo Leal-Muñoz, Juan Manuel Lopez-Navarro, Ricardo Alzugaray-Franz, Antonio Vizan-Idoipe, Guillermo de Arcas-Castro
Publikováno v:
Sensors, Vol 20, Iss 18, p 5326 (2020)
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 microphone
Externí odkaz:
https://doaj.org/article/b6d86ebae5fe476db580d8dd815760d7
Autor:
Andrés Sio Sever
Publikováno v:
Archivo Digital UPM
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
La monitorización de procesos de mecanizado es objeto de un gran interés dentro de la industria de fabricación debido al alto grado de valor añadido que representan sus operaciones, siendo vital que estas se desarrollen con precisión y con la au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5773e52a232b1ee20f883bedd18faec0
https://oa.upm.es/71996/
https://oa.upm.es/71996/
Autor:
Ricardo Alzugaray-Franz, Erardo Leal-Muñoz, Juan Manuel Lopez-Navarro, Antonio Vizan-Idoipe, Andrés Sio-Sever, Guillermo de Arcas-Castro
Publikováno v:
Sensors
Volume 20
Issue 18
Sensors, Vol 20, Iss 5326, p 5326 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 18
Sensors, Vol 20, Iss 5326, p 5326 (2020)
Sensors (Basel, Switzerland)
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 microphone