Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
APPLICATION OF VIBRATION AND SOUND SIGNALS FOR EVALUATING MACHINING PARAMETERS RELATED TO THE MILLING PROCESS OF AISI D6 STEEL
Submission Author:
WALLIF SOUZA , SP , Brazil
Co-Authors:
WALLIF SOUZA, Emerson dos Reis, Roberto Giani Pattaro Junior
Presenter: Roberto Giani Pattaro Junior
doi://10.26678/ABCM.COBEM2023.COB2023-0492
Abstract
Mechanical vibration signals are produced naturally in machining processes. They can be acquired and processed in order to obtain indicators of quality, efficiency or even failure in these processes. In short, such indicators allow to determine the most suitable configurations and machining parameters, avoiding damage, premature wear of the cutting tool or inadequate surface finish of the part. In this work, a single-axis accelerometer and a low-cost omnidirectional microphone were used to acquire mechanical vibration and sound intensity signals from the milling process of AISI D6 steel. Tests performed regarding three cut parameters, which were varied with values were above and below those recommended by the manufacturers, which were assumed as a reference. They were the cutting depth, the rotation of the spindle and the work penetration. Thus, the objective was to determine the effects of these parameters on the intensity of vibration and sound, and consequently, on the surface finish of milling, in which the average roughness of the surface was measured in each experiment. The acquired signals were analyzed in the time and frequency domains based on statistical parameters and by the fast Fourier transform (FFT). The results indicate that work penetration is the parameter that has the greatest impact on the analyzed machining process. When set to 90%, the amplitude of acceleration signals increases approximately 36%. On the other hand, work penetration at 30% caused these signals to increase by about 10%. The microphone used to acquire the sound signals proved to be ineffective due to the action of the automatic gain control, which distorts the amplitude of the captured signal components. On the average measured values of machined surface roughness, the quality on this point of view was almost the same. This indicates that none of the three machining parameters had important impact on the machined surface rough, which was above 1 µm.
Keywords
signals, Vibrations, Sound, milling
