1992
DOI: 10.1016/0043-1648(92)90135-u
|View full text |Cite
|
Sign up to set email alerts
|

Correlating tool life, tool wear and surface roughness by monitoring acoustic emission in finish turning

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
17
0
1

Year Published

2000
2000
2023
2023

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 62 publications
(19 citation statements)
references
References 16 publications
1
17
0
1
Order By: Relevance
“…Turning of hardened metals (hard turning), has been popular in recent years as an economic way of generating a high quality finish on steels with a hardness of 60-65 Rc (1)- (4). Compared with grinding, hard turning can machine complex workpieces in one step.…”
Section: Introductionmentioning
confidence: 99%
“…Turning of hardened metals (hard turning), has been popular in recent years as an economic way of generating a high quality finish on steels with a hardness of 60-65 Rc (1)- (4). Compared with grinding, hard turning can machine complex workpieces in one step.…”
Section: Introductionmentioning
confidence: 99%
“…The established method was applicable to estimate on-line the roughness of cylindrically ground surface with reasonable accuracy and to estimate the roughness of other ground and turned surfaces. Diniz et al (1992) conducted related experiments to monitor the change of surface roughness caused by the deterioration of tool wear, through the variation of acoustic emission in finish turning, under different cutting conditions. The signal-processing analysis was done on the AE rms signal filtered using a high bandpass and on the AE rms filtered using a smaller bandpass.…”
Section: Sound Signal Ultrasound Acoustic Emission (Ae)mentioning
confidence: 99%
“…Once acoustic emission signatures, thresholds and bandwidth are established for a specific process configuration, the AE signal and AE RMS may be monitored and compared to nominal values to detect abnormal events such as tool breakage [15] or unacceptable tool wear [8,16,17]. However, few if any surface integrity parameters including residual stress, microstructure changes [13], and surface finish [18] were on-line monitored, except a brief discussion by Toenshoff [3].…”
Section: Acoustic Emission Monitoringmentioning
confidence: 99%