2006
DOI: 10.1016/j.jmatprotec.2006.03.075
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of high-speed end-milling dynamic stability through audio signal measurements

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
21
0
2

Year Published

2008
2008
2016
2016

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(23 citation statements)
references
References 8 publications
0
21
0
2
Order By: Relevance
“…A sound signal has also been used by [23] in the turning process and by [24] in monitoring the milling process. The authors of [25] also use signals to evaluate cutting process stability. Moreover, [26] describes the use of ultrasonics to monitor tool wear during the turning process, but there has been no report about such a use in milling.…”
Section: Introductionmentioning
confidence: 99%
“…A sound signal has also been used by [23] in the turning process and by [24] in monitoring the milling process. The authors of [25] also use signals to evaluate cutting process stability. Moreover, [26] describes the use of ultrasonics to monitor tool wear during the turning process, but there has been no report about such a use in milling.…”
Section: Introductionmentioning
confidence: 99%
“…In their studies, they simulated different forms of naturally occurring wear such as crater, notch and flank wear, local changes in rake angle and edge breakdown. Weingaertner et al [12] evaluated the influence of high speed end milling dynamic stability through audio signal measurements both experimentally and analytically. In the study, the stability evaluation was based on the workpiece surface finish and on the audio signals measured with a unidirectional microphone.…”
Section: Introductionmentioning
confidence: 99%
“…In most of the researches, the FRF of the system at the tool point is obtained by impact modal tests performed on the stationary spindle [13][14][15][16]. Spindle models, however, have rarely been considered in the machining simulation models.…”
Section: Introductionmentioning
confidence: 99%