| dc.contributor.author | Keraita, JN | |
| dc.contributor.author | Oyango, HJ | |
| dc.contributor.author | Misoi, GK | |
| dc.date.accessioned | 2013-08-08T12:57:14Z | |
| dc.date.available | 2013-08-08T12:57:14Z | |
| dc.date.issued | 2001 | |
| dc.identifier.citation | JN Keraita, HJ Oyango and GK Misoi (2001). Lathe stability charts via acoustic emission monitoring. African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 2, No. 2, pp. 81-93 | en |
| dc.identifier.uri | http://www.ajol.info/index.php/ajst/article/view/44675 | |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/55545 | |
| dc.description.abstract | Signal parameters characterizing acoustic emission (AE) detected during metal
cutting have been theoretically correlated in a simple manner, to the work material properties,
cutting conditions, and tool geometry. During chatter, the cutting conditions and the tool
geometry change considerably. Self-exited chatter, an instability of the cutting process in
combination with the machine structure, is a basic performance limitation of machine tools.
In the research findings presented in this paper, changes occurring to AE signal parameters
have been used to detect the onset of chatter and hence plot stability charts, during a turning
operation. Apart from showing the borderlines of stability, such charts can be used to identify
the necessary changes required to eliminate chatter at minimum or no loss of production.
The signal parameters investigated include AE mean intensity level, the skew and kurtosis of
the power spectrum; as well as the count rate of the emissions. | en |
| dc.language.iso | en | en |
| dc.title | Lathe stability charts via acoustic emission monitoring | en |
| dc.type | Article | en |
| local.publisher | Department of Mechanical Engineering, Jomo Kenyatta University of Agriculture and Technology | en |
| local.publisher | Department of Mechanical Engineering, University of Nairobi | en |
