Page 247 - Sensors and Control Systems in Manufacturing

Networking of Sensors and Contr ol Systems in Manufacturing
3 SHARP 207

8
2 SHARP
APD % 1 WORN 0.65mm

0
3 WORN 0.65mm

–3.0 0 +3.0
Acceleration (g)
FIGURE 4.8 Amplitude probability density (APD) for several tool conditions.

eight assemblies. It thus seems possible that insert wear could be
detected using such features as the location of the peak in the APD,
the magnitude of peak, and the area under specific segments of the
distribution.
As with fracture, the presence of insert wear resulted in a signifi-
cant increase in the spectral components within the 10- to 13-kHz
band. Although this would seem to indicate that the presence of flank
wear could be detected by simple spectral analysis, it is not yet clear
if this method would be sufficiently discriminating to permit reliable
determination of the magnitude of flank wear.

4.8 Understanding Computer Communications
and Sensors’ Role
The evolution in computer software and hardware has had a major
impact on the capability of computer-integrated manufacturing con-
cepts. The development of smart manufacturing equipment and sen-
sors and control systems, as well as methods of networking comput-
ers, has made it feasible to consider cost-effective computer applica-
tions that enhance manufacturing. In addition, this growth has
changed approaches to the design of manufacturing facilities.
Messages are exchanged among computers according to various
protocols. The open system interconnect (OSI) model developed by
the International Standards Organization (ISO) provides such a