CN105290434B - A kind of turning flutter forecasting procedure based on power flow - Google Patents
A kind of turning flutter forecasting procedure based on power flow Download PDFInfo
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- CN105290434B CN105290434B CN201510732035.9A CN201510732035A CN105290434B CN 105290434 B CN105290434 B CN 105290434B CN 201510732035 A CN201510732035 A CN 201510732035A CN 105290434 B CN105290434 B CN 105290434B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23B—TURNING; BORING
- B23B25/00—Accessories or auxiliary equipment for turning-machines
- B23B25/04—Safety guards specially designed for turning machines
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q11/00—Accessories fitted to machine tools for keeping tools or parts of the machine in good working condition or for cooling work; Safety devices specially combined with or arranged in, or specially adapted for use in connection with, machine tools
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/12—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring vibration
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a kind of turning flutter forecasting procedure based on power flow, feature is to be respectively mounted PH phasemeter, force snesor and velocity sensor at the point of a knife position of lathe tool, and electrically connect PH phasemeter, force snesor and velocity sensor with multiplier respectively, multiplier is electrically connected with flutter determination module, the relational expression of Vibrational Power Flow In A is set in multiplier, the predictor Y of flutter is set in flutter determination module, and it is 5.625, i.e. Y to preset the predictor Y of flutter critical valuelim=5.625, during turnery processing, the flutter situation of lathe tool is monitored in real time, if measuring predictor value Y >=Y of the lathe tool in the flutter in some sampling timelim, then it is assumed that flutter is produced, otherwise it is assumed that not producing flutter；Advantage is that this method is obtained the characteristic quantity of flutter judgement by application power flow theory and designs corresponding detecting system, and it can fast and accurately judge whether turning process produces chatter phenomenon, substantially increase the reliability of flutter detection.
Description
Technical field
The present invention relates to the forecasting procedure of flutter during lathe process, more particularly to a kind of turning flutter based on power flow are pre-
Reporting method.
Background technology
In Tutrning Process, due to the effect of cutting force and other uncertain factors, often produced in process
Raw chatter phenomenon, influences the machining accuracy and turning efficiency of turning.Flutter be a kind of self-excited vibration, wherein regenerative chatter the most
Harmful, regenerative chatter is due to that the dynamic cutting force in process produced by thickness of cutting varying effect evokes.Flutter
The generation of phenomenon can reduce the surface quality of processed workpiece, cause process tool to be scrapped in advance, while producing in process
Give birth to very big noise.
For the chatter phenomenon in Tutrning Process, some different methods have been proposed at present to detect flutter
Whether there is.Such as：Judged by frequency, it is by being compared to inspection to the reference oscillation frequency and the frequency of flutter that prestore
Flutter is surveyed, but because the frequency of flutter can change according to combination, processing conditions of various instruments and workpiece etc., therefore in production
Give birth in the case of the flutter that can't detect frequency, there is a possibility that flutter can not be detected so that the reliability of flutter detection
It is not high.
The content of the invention
The technical problems to be solved by the invention be to provide it is a kind of be greatly improved flutter detection reliability based on work(
The turning flutter forecasting procedure of rate stream.
The present invention solve the technical scheme that is used of above-mentioned technical problem for：A kind of turning flutter forecast based on power flow
Method, including step in detail below：
(1), it is respectively mounted PH phasemeter, force snesor and velocity sensor at the point of a knife position of lathe tool, and by PH phasemeter, power
Sensor and velocity sensor are electrically connected with multiplier respectively, and multiplier is electrically connected with flutter determination module；
(2) relational expression of Vibrational Power Flow In A, is set in multiplier：
Wherein：PiRepresent the Vibrational Power Flow In A in the ith sample time, FiRepresent ith sample time inner force sense device institute
The exciting force acted on Lathe tool tip measured, viRepresent the lathe tool knife measured by velocity sensor in the ith sample time
The speed of point, φiRepresent the exciting force on the Lathe tool tip in the ith sample time measured by PH phasemeter and the phase between speed
Angle；
(3), set in flutter determination module the predictor Y of flutter as：
Wherein：N takes natural number, n=1,2,3 ...；
(4) critical value that the predictor Y of flutter, is preset in flutter determination module is 5.625, i.e. Ylim=
5.625, during turnery processing, the flutter situation of lathe tool is monitored in real time, if measuring lathe tool quivering in some sampling time
The predictor value Y >=Y shakenlim, then it is assumed that flutter is produced, otherwise it is assumed that not producing flutter.
A kind of described turning flutter forecasting procedure based on power flow, is additionally provided with warning device, warning device is with quivering
The determination module that shakes is electrically connected, as Y >=YlimWhen, warning device sends alarm.
Compared with prior art, it is an advantage of the invention that this method obtains what flutter judged by application power flow theory
Characteristic quantity simultaneously designs corresponding detecting system, and it can fast and accurately judge whether turning process produces chatter phenomenon, significantly
Improve the reliability of flutter detection.
Brief description of the drawings
Fig. 1 is structural representation of the invention；
Fig. 2 is schematic flow sheet of the invention；
Fig. 3 isWith time t change curve.
Embodiment
The present invention is described in further detail below in conjunction with accompanying drawing embodiment.
As illustrated, a kind of turning flutter forecasting procedure based on power flow, including step in detail below：
(1) PH phasemeter (not shown), force snesor 2 and velocity sensor, are respectively mounted at the point of a knife position of lathe tool 1
3, and PH phasemeter, force snesor 2 and velocity sensor 3 are electrically connected with multiplier 4 respectively, by 6 points of multiplier 4 and warning device
Do not electrically connected with flutter determination module 5；
(2) relational expression of Vibrational Power Flow In A, is set in multiplier 4：
Wherein：PiRepresent the Vibrational Power Flow In A in the ith sample time, FiRepresent ith sample time inner force sense device 2
The measured exciting force acted on the point of a knife of lathe tool 1, viRepresent the car measured by velocity sensor 3 in the ith sample time
The speed of the point of a knife of knife 1, φiRepresent between the exciting force and speed on the point of a knife of lathe tool 1 in the ith sample time measured by PH phasemeter
Phase angle；
(3), set in flutter determination module 5 the predictor Y of flutter as：
Wherein：N takes natural number, n=1,2,3 ...；
(4) critical value that the predictor Y of flutter, is preset in flutter determination module 5 is 5.625, i.e. Ylim=
5.625, during turnery processing, the flutter situation of lathe tool 1 is monitored in real time, if measuring lathe tool 1 in some sampling time
Predictor value Y >=Y of flutterlim, then it is assumed that flutter is produced, warning device sends alarm, otherwise it is assumed that not producing flutter.
The following is the specific derivation process to the chatter prediction function Y based on power flow：
Assuming that it is F to act on the exciting force that certain is put on Lathe tool tipi(t) speed, accordingly produced is vi(t).For simple harmonic quantity
Exciting force Fi(t)=| Fi| sin ω t, acting on admittance isStructure on a bit, this point produce speed vi
(t)=| vi|sin(ωt+φi), wherein φiIt is the phase angle between the exciting force of Lathe tool tip and speed, then what is instantaneously inputted shakes
Dynamic power is P=Fivi *=| Fi||vi|sinωt sin(wt+φi) wherein, vi *It is viConjugation, ω is excited frequency.
In ith sample time TSThe average value of interior power is referred to as Vibrational Power Flow In A Pi, it is represented by：
IfIt is the mean power stream within n sampling time, i.e.,ThenRepresent measured signal power flow
Situation of change, due to being influenceed by accidentalia, individually can not accurately judge flutter situation very much from power flow change size, and
And be difficult to determine as the critical value of criterion.Fig. 3 isWith time t change curve, the power rheology at 3 points of A, B, C
Change less, working angles are in stable state, power flow change generates greatly flutter very much at D, but on full curve not
Critical value can be accurately determined, can only probably judge and erroneous judgement can be produced to forecast flutter.
For a sensitive indicator, it is desirable to there is a preferable critical value, can typically be undergone mutation more than the value,
Otherwise just do not undergo mutation.Forecast flutter can not possibly accomplish accurate forecast completely, can only improve the probability of accurate forecast, therefore absolutely
It is non-existent, simply critical range to preferable critical value.For accurate forecast flutter, it is necessary to introduce a switching coefficient
M, the coefficient will determine whether that threshold value is played a part of in flutter to whole turning process.
Wherein, sgn is sign function,For the variance of power flow, its expression formula is as follows：
WhenWhen, value is 1, and is worked asWhen, value is -1.Erroneous judgement will not be produced by indicating 97.5% confidence level, but the probability for still having 2.5% is produced because accidentally disturbing
Erroneous judgement, therefore, the predictor that we can construct synthetic determination flutter is as follows：
Have when the ith sample moment, power flow was changed greatly：
I.e. now M=1,
Become greatly when because accidentalia causes power flow to fluctuate, but when not occurring flutter, M values now keep -1 not
Become without that because accidentalia produces mutation, can obtain：
That is M=-1,
On YlimThe determination of value, when meeting following two conditions, rule of thumb it is believed that flutter will occur：First,Second,The two conditions substitution predictor can be obtained：
Ylim=3 × 1.875=5.625, therefore can judge whether that generation is quivered by judging the size of predictor value
Shake, as Y >=YlimWhen, it is believed that flutter is produced, flutter is not otherwise produced.
Claims (2)
1. a kind of turning flutter forecasting procedure based on power flow, including step in detail below：
(1) PH phasemeter, force snesor and velocity sensor, are respectively mounted at the point of a knife position of lathe tool, and PH phasemeter, power are sensed
Device and velocity sensor are electrically connected with multiplier respectively, and multiplier is electrically connected with flutter determination module；
(2) relational expression of Vibrational Power Flow In A, is set in multiplier：
<mrow>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<mo>|</mo>
<msub>
<mi>F</mi>
<mi>i</mi>
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<mo>|</mo>
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<mi>v</mi>
<mi>i</mi>
</msub>
<mo>|</mo>
<msub>
<mi>cos&phi;</mi>
<mi>i</mi>
</msub>
</mrow>
Wherein：PiRepresent the Vibrational Power Flow In A in the ith sample time, FiRepresent measured by ith sample time inner force sense device
The exciting force acted on Lathe tool tip, viRepresent Lathe tool tip in the ith sample time measured by velocity sensor
Speed, φiRepresent the exciting force on the Lathe tool tip in the ith sample time measured by PH phasemeter and the phase angle between speed；
It is characterized in that：
(3), set in flutter determination module the predictor Y of flutter as：
<mrow>
<mi>Y</mi>
<mo>=</mo>
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<mi>P</mi>
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<mo>&OverBar;</mo>
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<mi>M</mi>
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</mrow>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>nP</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
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<mi>sgn</mi>
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<mo>&lsqb;</mo>
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<mn>2.96</mn>
<mi>n</mi>
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<munderover>
<mi>&Sigma;</mi>
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</munderover>
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<mi>i</mi>
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<mn>1.96</mn>
<msup>
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<mi>n</mi>
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<mo>&rsqb;</mo>
</mrow>
</mrow>
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</mrow>
<mo>)</mo>
</mrow>
</mrow>
Wherein：N takes natural number, n=1,2,3 ...；
(4) critical value that the predictor Y of flutter, is preset in flutter determination module is 5.625, i.e. Ylim=5.625,
During turnery processing, in real time monitoring lathe tool flutter situation, if measure lathe tool some sampling time flutter it is pre-
Report functional value Y >=Ylim, then it is assumed that flutter is produced, otherwise it is assumed that not producing flutter.
2. a kind of turning flutter forecasting procedure based on power flow as claimed in claim 1, it is characterised in that be provided with alarm
Device, described warning device is electrically connected with described flutter determination module, as Y >=YlimWhen, warning device sends alarm.
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| CN201510732035.9A CN105290434B (en) | 2015-11-02 | 2015-11-02 | A kind of turning flutter forecasting procedure based on power flow |
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| CN105290434B true CN105290434B (en) | 2017-10-24 |
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| CN105500115A (en) * | 2016-02-24 | 2016-04-20 | 南京工程学院 | Detection system for tool chattering in milling and detection method thereof |
| CN107414599B (en) * | 2016-05-23 | 2019-08-06 | 常州机电职业技术学院 | Turning cutting tool Bending Deformation detection method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JPS5439282A (en) * | 1977-09-02 | 1979-03-26 | Mitsubishi Electric Corp | Cutting observation device for machine tools or the like |
| US6085121A (en) * | 1997-09-22 | 2000-07-04 | Design & Manufacturing Solutions, Inc. | Device and method for recommending dynamically preferred speeds for machining |
| TW490357B (en) * | 1999-05-27 | 2002-06-11 | Sanyo Electric Co | Method and device for detecting abnormities of the cutting tool of a cutting machine |
| SE517878C2 (en) * | 2000-12-08 | 2002-07-30 | Sandvik Ab | Method and apparatus for vibration damping of metallic tools for chip separating machining and tools comprising such a device |
| JP2007105838A (en) * | 2005-10-14 | 2007-04-26 | Denso Corp | Device and method of abnormality detection for machining tool |
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