A pilot study to assess manufacturing processes using selected point measures of vibroacoustic signals generated on a multitasking machine

Abstract

The article presents the method for the evaluation of selected manufacturing processes using the analysis of vibration and sound signals. This method is based on the use of sensors installed outside the machining zone, allowing to be used quickly and reliably in real production conditions. The article contains a developed measurement methodology based on the specific location of microphones and vibration transducers mounted on the tested object, in this case on a four-axis CNC ST20Y Haas lathe. A mobile phone was integrated into the measuring system and used to control the measurement process. The results from the analysis of vibration and sound signals recorded during different machining operations are presented. They refer to selected working conditions of a machine tool depending on switching the coolant supply on or off and different machine loads caused by various technological processing as well as the various speed of the positioning movements. The analysis was carried out using selected point measures describing the vibroacoustic signals. The synthesis conducted on the basis of results from the experiments indicates the validity of using vibration and acoustic signals, recorded outside the machining area, to evaluate material removal processes that are diverse in terms of kinematics and processing conditions. It indicates the possibility of using proposed point measures of vibroacoustic signals in the diagnostic aspects of the machine tools to achieve high dimension and shape accuracy and to evaluate the condition of the technological devices in terms of their optimal efficiency. Presented methodology can be used as a supporting tool in the CAD/CAM software for a better selection of appropriate cutting parameters and for a wireless control of manufacturing systems consisting of several machine tools.

On acoustic emission analysis in circular saw cutting beech wood with respect to power consumption and surface roughness

“…In addition, the lateral movement is less as a result of saw fixation inside the material. An adaptive control system based upon acoustic emissions in terms of surface roughness by adjusting the feed rate was proposed by Deja and Licow (2020) and monitoring sawing processes via means of acoustic emission was proposed by . Sound techniques were also proposed for cutting conditions (Nagatomi et el.…”