Adaptive inverse control of chatter vibrations in internal turning operations
سال
: 2019
چکیده: In this article, adaptive inverse control of chatter vibrations in internal turning process is
addressed. The active boring bar is composed of a slender steel cutting tool, an electrodynamic
shaker as controllable actuator and an IEPE accelerometer as feedback sensor. The
SISO control system actuates in the direction normal to the cut surface. A novel adaptive
inverse control algorithm is presented in this paper. This algorithm is mainly used in the
feed-forward Active Noise Control (ANC) applications and is known as the Filtered-x
Normalized Least Mean Square (FxNLMS). In order to extend the application of adaptive
inverse control algorithms in the field of Active Vibration Control (AVC), the FxNLMS algorithm
with feedback architecture is suggested for the specific problem of chatter suppression
in internal turning operations.
The performance of developed adaptive feedback controller is experimentally verified
during the internal turning of Aluminum alloy 6063-T6. The value of critical limiting depth
of cut is anticipated to be nearly 0.2 [mm] for the slender boring bar. However, the stable
cutting process is conducted by the active boring bar in the presence of adaptive controller
up to depth of cut 2 [mm]. That is, the boundary of stability is enhanced by at least 10 folds.
It has been observed that the amplitude of chatter vibrations is efficiently suppressed adjacent
to the fundamental resonance peak of the active boring bar. In addition, the feedback
FxNLMS controller effectively attenuates the boring bar’s vibration by at least 70 dBs.
Moreover, the periodic chatter marks are eliminated from the surface texture of workpiece
and the roughness of cut surface is remarkably improved. The obtained results suggest that
the practical application of adaptive inverse control algorithms for chatter rejection can be
extended to other machining processes as well.
addressed. The active boring bar is composed of a slender steel cutting tool, an electrodynamic
shaker as controllable actuator and an IEPE accelerometer as feedback sensor. The
SISO control system actuates in the direction normal to the cut surface. A novel adaptive
inverse control algorithm is presented in this paper. This algorithm is mainly used in the
feed-forward Active Noise Control (ANC) applications and is known as the Filtered-x
Normalized Least Mean Square (FxNLMS). In order to extend the application of adaptive
inverse control algorithms in the field of Active Vibration Control (AVC), the FxNLMS algorithm
with feedback architecture is suggested for the specific problem of chatter suppression
in internal turning operations.
The performance of developed adaptive feedback controller is experimentally verified
during the internal turning of Aluminum alloy 6063-T6. The value of critical limiting depth
of cut is anticipated to be nearly 0.2 [mm] for the slender boring bar. However, the stable
cutting process is conducted by the active boring bar in the presence of adaptive controller
up to depth of cut 2 [mm]. That is, the boundary of stability is enhanced by at least 10 folds.
It has been observed that the amplitude of chatter vibrations is efficiently suppressed adjacent
to the fundamental resonance peak of the active boring bar. In addition, the feedback
FxNLMS controller effectively attenuates the boring bar’s vibration by at least 70 dBs.
Moreover, the periodic chatter marks are eliminated from the surface texture of workpiece
and the roughness of cut surface is remarkably improved. The obtained results suggest that
the practical application of adaptive inverse control algorithms for chatter rejection can be
extended to other machining processes as well.
شناسه الکترونیک: 10.1016/j.ymssp.2019.04.007
کلیدواژه(گان): Active vibration control
Chatter suppression
Boring bar
Stability improvement
FxNLMS algorithm
کالکشن
:
-
آمار بازدید
Adaptive inverse control of chatter vibrations in internal turning operations
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| contributor author | محسن فلاح | en |
| contributor author | بهنام معتکف ایمانی | en |
| contributor author | Mohsen Fallah | fa |
| contributor author | Behnam Moetakef Imani | fa |
| date accessioned | 2020-06-06T13:47:41Z | |
| date available | 2020-06-06T13:47:41Z | |
| date issued | 2019 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3369289 | |
| description abstract | In this article, adaptive inverse control of chatter vibrations in internal turning process is addressed. The active boring bar is composed of a slender steel cutting tool, an electrodynamic shaker as controllable actuator and an IEPE accelerometer as feedback sensor. The SISO control system actuates in the direction normal to the cut surface. A novel adaptive inverse control algorithm is presented in this paper. This algorithm is mainly used in the feed-forward Active Noise Control (ANC) applications and is known as the Filtered-x Normalized Least Mean Square (FxNLMS). In order to extend the application of adaptive inverse control algorithms in the field of Active Vibration Control (AVC), the FxNLMS algorithm with feedback architecture is suggested for the specific problem of chatter suppression in internal turning operations. The performance of developed adaptive feedback controller is experimentally verified during the internal turning of Aluminum alloy 6063-T6. The value of critical limiting depth of cut is anticipated to be nearly 0.2 [mm] for the slender boring bar. However, the stable cutting process is conducted by the active boring bar in the presence of adaptive controller up to depth of cut 2 [mm]. That is, the boundary of stability is enhanced by at least 10 folds. It has been observed that the amplitude of chatter vibrations is efficiently suppressed adjacent to the fundamental resonance peak of the active boring bar. In addition, the feedback FxNLMS controller effectively attenuates the boring bar’s vibration by at least 70 dBs. Moreover, the periodic chatter marks are eliminated from the surface texture of workpiece and the roughness of cut surface is remarkably improved. The obtained results suggest that the practical application of adaptive inverse control algorithms for chatter rejection can be extended to other machining processes as well. | en |
| language | English | |
| title | Adaptive inverse control of chatter vibrations in internal turning operations | en |
| type | Journal Paper | |
| contenttype | External Fulltext | |
| subject keywords | Active vibration control Chatter suppression Boring bar Stability improvement FxNLMS algorithm | en |
| identifier doi | 10.1016/j.ymssp.2019.04.007 | |
| journal title | Mechanical Systems and Signal Processing | en |
| journal title | Mechanical Systems and Signal Processing | fa |
| pages | 91-111 | |
| journal volume | 129 | |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1077088.html | |
| identifier articleid | 1077088 |