Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
NON-INVASIVE MONITORING SYSTEM FOR DETECTION OF TOOL WEAR IN POLYMER MILLING PROCESS
Submission Author:
Janaina Gonçalves , PR
Co-Authors:
Janaina Gonçalves, Roger Michels, Mayther Gimenez, Rafael Tanganini Boa Sorte, Elizabeth Mie Hashimoto
Presenter: Mayther Gimenez
doi://10.26678/ABCM.COBEM2021.COB2021-0741
Abstract
The present work proposes a low-cost, non-invasive monitoring system. Aiming to estimate the electric current demanded, based on the variation of the cutting parameters in the top milling process of acrylic and expanded PVC, with and without the use of cutting fluid. The proposed system consists of an integrated Arduino® board with SCT-013-000 current sensor, RTC-DS3231 module and SD Card module, which perform the measurement and storage, respectively, of the current values collected directly from the power cable Router Spindle TVS. 1ZM3. 12. The data were collected in a machinability test, where there was a variation in the cutting fluid concentration and cutting parameters (vc and fz). The output data were surface roughness, current consumption, chip shape and tool wear. The results were treated statistically through analysis of variance (ANOVA). Based on the statistical contrast, it can be concluded that the factors have an individual effect on the consumption of electric current and that the wear of the tool promotes an increase in the consumption of the main motor. The decrease in the consumption of electric current indicated that, with the addition of the cutting fluid (with variation in concentration), there was a decrease in friction between the tool/part.
Keywords
Arduino, Open Source, cutting fluid, Acrylic, PVC
