CN106334969A - Cutter life estimation method for cutting power tool - Google Patents
Cutter life estimation method for cutting power tool Download PDFInfo
- Publication number
- CN106334969A CN106334969A CN201610926255.XA CN201610926255A CN106334969A CN 106334969 A CN106334969 A CN 106334969A CN 201610926255 A CN201610926255 A CN 201610926255A CN 106334969 A CN106334969 A CN 106334969A
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- China
- Prior art keywords
- cutter
- power tool
- signal
- life
- cutting
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Classifications
-
- 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
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
- B23Q17/0995—Tool life management
-
- 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
- B23Q2717/00—Arrangements for indicating or measuring
- B23Q2717/006—Arrangements for indicating or measuring in milling machines
Abstract
A cutter life estimation method for a cutting power tool comprises the following steps that firstly, a cutter life estimation device for the cutting power tool is established and comprises the power tool (1), a cutter (2), a single-axis acceleration sensor (3) and a microphone (4); secondly, the device established in the first step is adopted, the cutter reaching the service life and a new cutter are used for cutting a workpiece, signals recorded by the single-axis acceleration sensor and the microphone are treated, and a mapping relation model of a signal wavelet energy spectrum and the cutter life is established; thirdly, for the power tool with the service life to be estimated, the signals recorded by the single-axis acceleration sensor and the microphone are continuously collected in the work process, the signals are analyzed in real time, the calculated energy spectrum is input into the mapping relation model established in the second step, if the energy spectrum is close to the signal energy of the cutter reaching the service life, work of the power tool is stopped, and the cutter is replaced with a new cutter.
Description
Technical field
The invention belongs to cutting tool technical field.
Background technology
High-speed cutting technique is widely used in automobile, aircraft, mold manufacturing industry.Due to each several part when cutter at high speeds rotates
The centrifugal force bearing becomes the Main Load of cutter considerably beyond the effect of cutting force itself, and centrifugal force reaches certain journey
Cutter distortion can be caused when spending even to rupture, the method for estimation of therefore research cutter life has pole to Developing High-speed machining
Its important meaning.
Content of the invention
The present invention seeks in solution high-speed cutting processing cutter life estimation problem, provide one kind to be used for cutting power
The cutter life method of estimation of instrument.
Provided by the present invention for cutting the cutter life method of estimation of power tool, comprise the steps:
1st step, the building, including power tool (1), power work of cutter life estimation unit for cutting power tool
The cutter (2) that tool lower end is installed, the single-axis acceleration sensors (3) that power tool lower end is installed near cutter position, with single shaft
Acceleration transducer is provided with a mike (4) relative on the power tool of opposite side by rubber vibration insulating pad (5)；
2nd step, the device built using the 1st step, respectively using the cutter reaching service life and new Tool in Cutting workpiece,
The signal of single-axis acceleration sensors and mike record is processed, reduces the noise in signal using cross-correlation technique,
Multi-level Wavelet Transform bag decomposition is carried out to each signal, in signal calculated once, residing for secondary, three times and four-time harmonic composition
Node on wavelet coefficient energy, set up the Wavelet Energy Spectrum of signal and the mapping relations model of cutter life；
3rd step, the power tool for the life-span to be estimated, in the course of the work continuous collecting single-axis acceleration sensors and
The signal of mike record, is analyzed in real time to signal, and method is identical with the 2nd step, and the energy spectrum calculating is inputted the 2nd step
The mapping relations model set up, if close to the signal energy reaching the cutter of service life, stops power tool work, more
Renew cutter.
Advantages of the present invention and good effect:
The present invention has a low cost, the advantage of high precision, it can be avoided that the work being led to due to tool wear in machining
Part produces burr seriously, and surface roughness declines, the defect such as workpiece size change.
Brief description
Fig. 1 is the device of the cutter life estimated service life for cutting power tool.
Fig. 2 is the mapping relations model with cutter life for the Wavelet Energy Spectrum of signal.
In figure, 1 is power tool, and 2 is the drill bit being installed on 1, the cutter such as milling cutter, and 3 is single-axis acceleration sensors, 4
It is mike, 5 is rubber vibration insulating pad.
Specific embodiment
Embodiment 1:
1st step, the building of cutter life estimation unit for cutting power tool, device is as shown in Figure 1.
Single-axis acceleration sensors 3 and power tool 1 are to be rigidly connected, and mike 4 and power tool 1 are elastic connections,
Rubber vibration insulating pad 5 is located between mike 4 and power tool 1, plays the effect of isolation vibration.Single-axis acceleration sensors 3 exist
As far as possible near cutter 2 in layout, mike 4 is not more than 0.3 meter with the distance of cutter 2, and ensures not being cut liquid adhesional wetting.Wheat
Gram wind 4 and single-axis acceleration sensors 3 are located at the both sides of power tool 1, and object can not be had between mike 4 and cutter 2 to hide
Gear.It is analyzed obtaining cutter life by the signal that single-axis acceleration sensors 3 and mike 4 are obtained.
2nd step, respectively using the cutter reaching service life and new Tool in Cutting workpiece, to single-axis acceleration sensors 3
Processed with the signal of mike 4 record, reduce the noise in signal using cross-correlation technique, each signal is carried out
Multi-level Wavelet Transform bag decomposes, in signal calculated once, wavelet coefficient on secondary, three times and the node residing for four-time harmonic composition
Energy, sets up the Wavelet Energy Spectrum of signal and the mapping relations model of cutter life, and model is as shown in Figure 2.In figure artificial neuron
Network is a kind of neutral net behavior characteristicss imitating human brain, carries out the algorithm of distributed parallel information processing.It passes through adjustment
It is connected with each other the relation of (in the in figure mark of the straight line with arrow) between internal great deal of nodes (identifying in figure circle), from
And reach the purpose of the mapping relations model setting up Wavelet Energy Spectrum and cutter life.
2. power tool in the course of the work continuous collecting single-axis acceleration sensors 3 and mike 4 record signal, right
Signal is analyzed in real time, and method is identical with step 1, by the energy spectrum calculating input mapping relations model, if close to
Reach the signal energy of the cutter of service life, then stop power tool work, more renew cutter.
Claims (1)
1. a kind of cutter life method of estimation for cutting power tool is it is characterised in that the method comprises the steps:
1st step, the building, including power tool (1), under power tool of cutter life estimation unit for cutting power tool
The cutter (2) that end is installed, the single-axis acceleration sensors (3) that power tool lower end is installed near cutter position, accelerate with single shaft
Degree sensor is provided with a mike (4) relative on the power tool of opposite side by rubber vibration insulating pad (5)；
2nd step, the device built using the 1st step, respectively using the cutter reaching service life and new Tool in Cutting workpiece, to list
The signal of axle acceleration sensor and mike record is processed, and reduces the noise in signal using cross-correlation technique, to every
One signal all carries out multi-level Wavelet Transform bag decomposition, in signal calculated once, secondary, three times and the section residing for four-time harmonic composition
The energy of wavelet coefficient on point, sets up the Wavelet Energy Spectrum of signal and the mapping relations model of cutter life；
3rd step, the power tool for the life-span to be estimated, continuous collecting single-axis acceleration sensors and Mike in the course of the work
The signal of wind record, is analyzed in real time to signal, and method is identical with the 2nd step, and the energy spectrum calculating input the 2nd step is set up
Mapping relations model, if close to the signal energy having reached the cutter of service life, stop power tool work, more renew
Cutter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610926255.XA CN106334969B (en) | 2016-10-31 | 2016-10-31 | A kind of cutter life method of estimation for cutting power tool |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610926255.XA CN106334969B (en) | 2016-10-31 | 2016-10-31 | A kind of cutter life method of estimation for cutting power tool |
Publications (2)
| Publication Number | Publication Date |
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| CN106334969A true CN106334969A (en) | 2017-01-18 |
| CN106334969B CN106334969B (en) | 2018-08-10 |
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| CN201610926255.XA Active CN106334969B (en) | 2016-10-31 | 2016-10-31 | A kind of cutter life method of estimation for cutting power tool |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110116335A (en) * | 2019-05-14 | 2019-08-13 | 哈尔滨理工大学 | A kind of determining heavy cutting hard alloy cutter breakage life approach |
| TWI670138B (en) * | 2018-11-22 | 2019-09-01 | 國立臺灣科技大學 | Method for predicting tool wear in an automatic processing machine |
| CN110744358A (en) * | 2019-10-16 | 2020-02-04 | 中国矿业大学 | Method for determining service life of cutter |
| CN111843615A (en) * | 2020-06-29 | 2020-10-30 | 中南大学 | Method for rapidly identifying fracture toughness of material in ultrasonic vibration-assisted machining |
| CN113272746A (en) * | 2019-05-09 | 2021-08-17 | 西门子股份公司 | Method, device and system for setting service life of cutting tool based on tool change record |
Citations (4)
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| JPH05169354A (en) * | 1991-12-18 | 1993-07-09 | Kobe Steel Ltd | Life detecting method for cutting edge in rotary multi-edged cutting tool |
| CN101758423A (en) * | 2008-12-23 | 2010-06-30 | 上海诚测电子科技发展有限公司 | Rotational cutting tool state multiple parameter overall assessment method based on image identification |
| CN102172849A (en) * | 2010-12-17 | 2011-09-07 | 西安交通大学 | Cutter damage adaptive alarm method based on wavelet packet and probability neural network |
| CN102689230A (en) * | 2012-05-09 | 2012-09-26 | 天津大学 | Tool wear condition monitoring method based on conditional random field model |
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2016
- 2016-10-31 CN CN201610926255.XA patent/CN106334969B/en active Active
Patent Citations (4)
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| JPH05169354A (en) * | 1991-12-18 | 1993-07-09 | Kobe Steel Ltd | Life detecting method for cutting edge in rotary multi-edged cutting tool |
| CN101758423A (en) * | 2008-12-23 | 2010-06-30 | 上海诚测电子科技发展有限公司 | Rotational cutting tool state multiple parameter overall assessment method based on image identification |
| CN102172849A (en) * | 2010-12-17 | 2011-09-07 | 西安交通大学 | Cutter damage adaptive alarm method based on wavelet packet and probability neural network |
| CN102689230A (en) * | 2012-05-09 | 2012-09-26 | 天津大学 | Tool wear condition monitoring method based on conditional random field model |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI670138B (en) * | 2018-11-22 | 2019-09-01 | 國立臺灣科技大學 | Method for predicting tool wear in an automatic processing machine |
| CN113272746A (en) * | 2019-05-09 | 2021-08-17 | 西门子股份公司 | Method, device and system for setting service life of cutting tool based on tool change record |
| CN113272746B (en) * | 2019-05-09 | 2024-04-09 | 西门子股份公司 | Cutting tool life setting method, device and system based on tool replacement record |
| CN110116335A (en) * | 2019-05-14 | 2019-08-13 | 哈尔滨理工大学 | A kind of determining heavy cutting hard alloy cutter breakage life approach |
| CN110744358A (en) * | 2019-10-16 | 2020-02-04 | 中国矿业大学 | Method for determining service life of cutter |
| CN111843615A (en) * | 2020-06-29 | 2020-10-30 | 中南大学 | Method for rapidly identifying fracture toughness of material in ultrasonic vibration-assisted machining |
| CN111843615B (en) * | 2020-06-29 | 2021-07-20 | 中南大学 | Method for rapidly identifying fracture toughness of material in ultrasonic vibration-assisted machining |
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| CN106334969B (en) | 2018-08-10 |
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