Development of non-contact structural health monitoring system for machine tools

Abstract

In this era of flexible manufacturing systems, a real-time structural health monitoring (SHM) is paramount for machining processes which are of great relevance today, when there is a constant call for better productivity with high quality at low price. During machining, vibrations are always brought forth because of mechanical disturbances from various sources such as an engine, a sound, and noise, among others. A SHM system provides significant economic benefits when applied to machine tools and machining processes. This study demonstrates a non contact SHM system for machine tools based on the vibration signal collected through a low-cost, microcontroller based data acquisition system. The examination tests of this developed system have been carried out on a vibration rig. The readings have also been calibrated with the accelerometer to validate the proposed system. The developed system results in quick measurement, enables reliable monitoring, and is cost effective with no need to alter the structure of the machine tool. It is expected that the system can forewarn the operator for timely based maintenance actions in addition to reducing the costs of machine downtime and acquiring equipments with reduction in complexity of machine tools.

Vibrational behaviors studied through experiments and simulations using free licensing cross-platform software

“…As a result, the first resonance frequency was clearly detected at 482.5 Hz, which corresponded to the first free vibration mode, according to the deformation mode of the beam shape. Therefore, the aim of the present work was to obtain a spectrum, with no more specially designed device for this purpose, as it was few years ago [27], since you can simply emulate its operation, following these procedures.…”

Development of a system for monitoring vibration accelerations based on the raspberry pi microcomputer and the ADXL345 accelerometer

“…A system for monitoring machine tools and machining processes was developed in [12]. The vibration signal acquisition system is based on the Arduino microcontroller connected to a computer via an USB port.…”

“…The best approaches and technical solutions among the above-described solutions for the range of tasks involved include the methods described in [8], [12] and [13ψ15]. The study methods were based on conducting experiments with various technical objects including measurement of vibration parameters, their processing and analysis with the help of the self-developed hardware and software systems.…”

State of the Art Vibration Analysis of Electrical Rotating Machines

“…[9]. The vibration signal is collected through a low-cost, microcontroller based data acquisition system.…”