Basic Investigation of the Applicability of Artificial Intelligence Based Predictive
Models to Im...(SNN146940) Támogató: NKFIH
Szakterületek:
Gépészmérnöki tudományok és gyártástervezés (alakítás, szerelés, csatlakozás, szétválasztás)
In the metal chip formation zone, during the large-scale and high-speed shaping of
the raw material, high-frequency but low-energy pressure waves are generated within
the solid material. The entire set of these pressure waves can be detected in machining
research through acoustic emission measurement. The magnitude and features of the
acoustic emission mainly depend on the material of the workpiece and tool, the technological
parameters, and tool wear. Exploiting this property, it has become widespread in the
field of process monitoring. By relating the acoustic emission to the theoretical
chip cross-section, we obtain a characteristic indicator proportional to the chip
formation process. Examining the specific acoustic emission as a function of the theoretical
chip cross-section allows us to clearly observe and measure the transient phase of
the cutting process, i.e., when the tool edge enters and exits the cutting zone. The
range of small chip thickness is considered to be the range of theoretical chip thicknesses
that are equal to or smaller than the tool edge radius. In this range, the statistical
behavior of the specific acoustic emission differs from that observed at larger theoretical
chip thicknesses, indicating a change in chip formation quality—referred to as process
transition or instability. Cutting in this unstable range is undesirable and can deteriorate
the finish of the machined surface. This study presents the measurement technique
for the specific acoustic emission, the development of related process indicators,
and their application to monitor the transient stage of cutting.