Next Article in Journal
Acknowledgement to Reviewers of Inventions in 2017
Next Article in Special Issue
A Remote Controlled Robotic Arm That Reads Barcodes and Handles Products
Previous Article in Journal
A Reconfigurable Gripper for Dexterous Manipulation in Flexible Assembly
Article Menu

Export Article

Open AccessArticle
Inventions 2018, 3(1), 5; https://doi.org/10.3390/inventions3010005

Numerical Analysis of CNC Milling Chatter Using Embedded Miniature MEMS Microphone Array System

1
Master’s Program of Electro-Acoustics, Feng Chia University, Taichung 40724, Taiwan
2
Bachelor’s Program in Precision System Design, Feng Chia University, Taichung 40724, Taiwan
*
Author to whom correspondence should be addressed.
Received: 22 November 2017 / Revised: 11 January 2018 / Accepted: 12 January 2018 / Published: 16 January 2018
(This article belongs to the Special Issue Selected Papers from ICI2017 and Spintech Thesis Awards)
Full-Text   |   PDF [6042 KB, uploaded 16 January 2018]   |  

Abstract

With the increasingly common use of industrial automation for mass production, there are many computer numerical control (CNC) machine tools that require the collection of data from intelligent sensors in order to analyze their processing quality. In general, for high speed rotating machines, an accelerometer can be attached on the spindle to collect the data from the detected vibration of the CNC. However, due to their cost, accelerometers have not been widely adopted for use with typical CNC machine tools. This study sought to develop an embedded miniature MEMS microphone array system (Radius 5.25 cm, 8 channels) to discover the vibration source of the CNC from spatial phase array processing. The proposed method utilizes voice activity detection (VAD) to distinguish between the presence and absence of abnormal noise in the pre-stage, and utilizes the traditional direction of arrival method (DOA) via multiple signal classification (MUSIC) to isolate the spatial orientation of the noise source in post-processing. In the numerical simulation, the non-interfering noise source location is calibrated in the anechoic chamber, and is tested with real milling processing in the milling machine. As this results in a high background noise level, the vibration sound source is more accurate in the presented energy gradation graphs as compared to the traditional MUSIC method. View Full-Text
Keywords: beamforming; direction of arrival; voice activity detection; chatter detection beamforming; direction of arrival; voice activity detection; chatter detection
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wang, P.-L.; Tsai, Y.-T. Numerical Analysis of CNC Milling Chatter Using Embedded Miniature MEMS Microphone Array System. Inventions 2018, 3, 5.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Inventions EISSN 2411-5134 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top