Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
A comparison between on-axis and off-axis measurements during machining operations
Submission Author:
Arthur Rosa Raposo , SP , United Kingdom
Co-Authors:
Arthur Rosa Raposo, Leopoldo de Oliveira, André Landim de Mello, Reginaldo Coelho, Raphael Galdino dos Santos
Presenter: Leopoldo de Oliveira
doi://10.26678/ABCM.COBEM2017.COB17-1697
Abstract
With the recent push towards Industry 4.0, gathering information from the machine tools becomes a necessity in order to create a smart factory and therefore maximize the efficiency of the production process. One parameter especially useful during turning and milling operations is the spindle vibration, which can indicate the quality of the surface finish of the workpiece, the level of effort for the current operation, possible defects in the bearings that can lead to machine breakdown, among others. Having a constant stream of data during machining operations allows the user to be warned about possible problems during operation and therefore to perform predictive maintenance, increasing the uptime of the machine and reducing the chance of wasting materials due to low-quality finishes. This article proposes two methods for measuring spindle vibrations: (i) from a static position, e.g. close to one of the spindle bearings and (ii) using a wireless data transmission system with sensors placed directly on rotating parts. During the operational measurements, the cutting forces are constantly measured by a dynamometer mounted on the tool holder. The level and severity of the cutting forces are then analyzed against the signals coming from the rotating part and the static accelerometers. The wireless data transmission system, developed in this framework, uses strain gauges as primary sensors, process the signal and send it optically to a stationary receiver, which then transmits the data for further analysis. The static measurement is performed with accelerometers that are directly linked to the data acquisition system.
Keywords
industry 4.0, telemetry, Strain, Torque, Vibration
