CN106216745A - A kind of LASER HEATING auxiliary milling attachment that can monitor tool wear in real time - Google Patents
A kind of LASER HEATING auxiliary milling attachment that can monitor tool wear in real time Download PDFInfo
- Publication number
- CN106216745A CN106216745A CN201610605407.6A CN201610605407A CN106216745A CN 106216745 A CN106216745 A CN 106216745A CN 201610605407 A CN201610605407 A CN 201610605407A CN 106216745 A CN106216745 A CN 106216745A
- Authority
- CN
- China
- Prior art keywords
- laser
- milling
- data
- signal
- laser heating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23C—MILLING
- B23C3/00—Milling particular work; Special milling operations; Machines therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23C—MILLING
- B23C9/00—Details or accessories so far as specially adapted to milling machines or cutter
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23P—METAL-WORKING NOT OTHERWISE PROVIDED FOR; COMBINED OPERATIONS; UNIVERSAL MACHINE TOOLS
- B23P25/00—Auxiliary treatment of workpieces, before or during machining operations, to facilitate the action of the tool or the attainment of a desired final condition of the work, e.g. relief of internal stress
- B23P25/003—Auxiliary treatment of workpieces, before or during machining operations, to facilitate the action of the tool or the attainment of a desired final condition of the work, e.g. relief of internal stress immediately preceding a cutting tool
- B23P25/006—Heating the workpiece by laser during machining
-
- 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
- B23Q17/0952—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 during machining
- B23Q17/0957—Detection of tool breakage
Abstract
The invention discloses a kind of LASER HEATING auxiliary milling attachment that can monitor tool wear in real time, including milling attachment, laser heating device, real-time monitoring device;Described milling attachment includes CNC milling machine workbench, milling cutter, the workpiece that is fixed on described CNC milling machine workbench;Described laser heating device includes laser focusing head, and described laser focusing head is by the surface of laser light incident to workpiece;Described real-time monitoring device includes multiple acoustic emission sensor, signal processing module, digital sampling and processing, industrial computer, described acoustic emission sensor is arranged on workpiece the acoustic emission signal detecting described milling cutter when milling state, described acoustical signal is stored in industrial computer after signal processing module and digital sampling and processing process, after processing and analyzing, draw described milling cutter grinding away over time state.
Description
Technical field
The present invention relates to a kind of cutter abrasion detection device, a kind of LASER HEATING that can monitor tool wear in real time
Auxiliary milling attachment.
Background technology
Laser-assisted machining technology is the surface of the work before high-power laser beam focuses on cutting edge, at material quilt
In short time before excision, make the machinability of material at high temperature change by being locally heated to the highest temperature, then adopt
It is processed with cutter.By material being carried out the heating of local tiny area, while improving material plasticity, make bending of material
Taking intensity to reduce, reduce cutting force, tool life, suppression Serrated Chip Formation produces, and prevents cutting chatter, thus reaches
To improving working (machining) efficiency, reducing cost, the purpose of increase surface quality.
LASER HEATING auxiliary milling is a kind of mode of laser-assisted machining.Owing to milling is an intermittent cut
Journey, the percussion of cutter is easier to cause tool damage by workpiece, and therefore, LASER HEATING auxiliary milling technology can reduce to be cut
Cut power, reduce the cutter impact to workpiece, improve cutter life and improve machined surface quality.Tungsten chromium cobalt is closed by foreign scholar
Gold copper-base alloy has carried out LASER HEATING auxiliary milling test research, it was demonstrated that the advantage of heating auxiliary milling, can improve processing
Tool wear is reduced while efficiency.In terms of the ceramic material big in fragility, difficulty of processing is high, use LASER HEATING auxiliary milling
Technology can make material be plasticity by Transition of Brittleness, significantly reduces cutting force in the course of processing, and chip becomes continuous, and
To good finished surface.But, the material of LASER HEATING Milling Process is usually Aero-Space difficult-to-machine material, even if adopting
Being processed with LASER HEATING milling, cutter wear also ratio is more serious, and the crudy for part has large effect, with
Time need to take off cutter frequently and carry out the measurement of cutter wear value, working (machining) efficiency is greatly reduced, also brings milling cutter simultaneously
The problem of location when secondary is installed.
In view of drawbacks described above, creator of the present invention obtains this creation finally through research for a long time and practice.
Summary of the invention
It is an object of the invention to design a set of LASER HEATING auxiliary milling attachment that can monitor tool wear in real time, in order to gram
Take drawbacks described above.
For realizing this purpose, the technical solution used in the present invention is, devises one and can monitor tool wear in real time
LASER HEATING auxiliary milling attachment, including milling attachment, laser heating device, real-time monitoring device;
Described milling attachment includes CNC milling machine workbench 1, milling cutter 5, the work that is fixed on described CNC milling machine workbench 1
Part 3;
Described laser heating device includes laser focusing head 8, and described laser focusing head 8 is by the table of laser light incident to workpiece 3
Face;
Described real-time monitoring device includes acoustic emission sensor unit 4, signal processing module 11, digital sampling and processing
12, industrial computer 13;
Described acoustic emission sensor unit 4 includes that multiple acoustic emission sensor, the plurality of acoustic emission sensor are arranged on
On workpiece 3 and detect the described milling cutter 5 acoustical signal when milling state, described acoustical signal is through signal processing module 11 and data acquisition
Collection processing module 12 is stored in industrial computer 13 after processing, and by processing and analyzing, draws described milling cutter 5 grinding away over time state.
It is also preferred that the left described digital sampling and processing 12 comprises A/D converter, amplifier and data processor, described A/D
Transducer passes to data processor through amplifier after the acoustical signal received is converted into digital signal.Described data processor
Receive the data of described amplifier output and these data are carried out Screening Treatment.
It is also preferred that the left the Screening Treatment process of data is by described data processor:
Calculating the meansigma methods of acoustical signal data, formula is:
Acoustical signal data threshold W is setminAnd Wmax
Wmin=S (1-m%)
Wmax=S (1+m%)
Work as Wmin<Sx<WmaxTime, data S obtainedxIn set threshold range, then these data retain;
Work as Sx>WmaxOr Sx<Wmin, data S that obtainedxNot in the threshold range of this setting, then delete these data.
In formula, S is the meansigma methods of acoustical signal data, SXThe acoustical signal data obtained for x-th acoustic emission sensor, X
For acoustic emission sensor quantity, m is the constant arranged, WminAnd WmaxFor acoustical signal data threshold.
It is also preferred that the left described real-time monitoring device also includes current sensor, the motor phase of described current sensor and main shaft
Even, and the current signal of the spindle motor received is sent to signal processing module 11 by cable.
It is also preferred that the left described industrial computer 13 includes terminal control module, described terminal control module is by real-time state of wear
Compare with predetermined threshold value, if exceeding threshold value will carry out alarm replacing milling cutter 5.
Preamplifier is had it is also preferred that the left be connected between described acoustic emission sensor unit 4 and signal processing module 11.
It is also preferred that the left described signal processing module 11 is adjusted circuit by signal amplitude, wave filter, differential amplifier form.
It is also preferred that the left described laser heating device also includes temperature field finite element simulation module, described temperature field finite element is imitated
True module optimizes laser heating process parameter.
It is also preferred that the left described milling attachment also includes numerical control rotary table or and two-dimensional movement workbench.
It is also preferred that the left described laser heating device also includes focus head fixed adjustment device 7, optical fiber 9, laser instrument 10, described
Laser instrument 10 can export the laser of prescribed energy and enter described laser focusing head 8, described laser by the conduction of described optical fiber 9
Focus head 8 is fixed on described focus head fixed adjustment device 7, and described focus head fixed adjustment device 7 is fixed on lathe milling
On head, change laser light incident direction by the described focus head fixed adjustment device 7 of adjustment straight with the hot spot being incident on surface of the work
Footpath size.
Compared with prior art, the method have the advantages that
(1) acoustic emission signal and current signal detection technique can easily realize laser as effective Dynamic Non-Destruction Measurement
The on-line monitoring of heating auxiliary milling, and highly sensitive, without advantages such as shutdown during monitoring, it is greatly saved milling cutter mill
Damage the time of monitoring, improve the efficiency of LASER HEATING auxiliary milling.
(2) signal gathered multiple acoustic emission sensors by data processor is screened so that the signal of acquisition
Data are more accurate.
(3) signal processing module can reject the impact of other environment noises in reality processing or experimentation, from
And only high frequency stage to our acoustic emission signal of interest there is preferable selectivity analysis, realizing industrial automation side
Mask has relatively broad application prospect.
(4) acoustic emission equipment is simple, and only need to collect achievement on the basis of original LASER HEATING auxiliary milling attachment can be real
Existing LASER HEATING auxiliary milling cutter wear and damaged on-line monitoring.
(5) this system is analyzed for the signal gathered in real time by wavelet transformation, it is possible to adjusts laser in time and cuts
Cut parameter and cutter wear is carried out real-Time Compensation, it is ensured that in milling process, fully meet the requirement of Workpiece Machining Accuracy.
Accompanying drawing explanation
Fig. 1 is a kind of LASER HEATING auxiliary milling attachment schematic diagram possessing monitoring cutter grinding away over time;
In figure, numeral represents:
1 CNC milling machine workbench;2 fixtures;3 workpiece;4 acoustic emission sensors;5 milling cutters;6 main shafts;7—
Laser focusing head adjusting apparatus;8 laser focusing heads;9 optical fiber;10 laser instrument;11 signal processing modules;12 data
Acquisition processing module;13 industrial computers.
Detailed description of the invention
Below in conjunction with implementation and accompanying drawing, the invention will be further described:
Embodiment 1
Fig. 1 is the schematic diagram of a kind of LASER HEATING auxiliary milling attachment possessing monitoring cutter grinding away over time, this device bag
Include CNC milling machine workbench 1, fixture 2, workpiece 3, acoustic emission sensor unit 4, milling cutter 5, milling machine spindle 6, laser focusing head tune
Engagement positions 7, laser focusing head 8, optical fiber 9, laser instrument 10, signal processing module 11, digital sampling and processing 12, industrial computer
13。
Wherein said workpiece 3 is fixed on CNC milling machine workbench 1 after being arranged on fixture 2 together, above workpiece 3
For milling cutter 5, milling cutter 5 is fixed on milling machine spindle 6, and described acoustic emission sensor unit 4 comprises multiple acoustic emission sensor, at this
In embodiment, acoustic emission sensor is 3, and described acoustic emission sensor is arranged on the side edge of workpiece 3 and as far as possible near cutting
At Dian, acoustic emission sensor is made to be close to workpiece 3 during installation, in order to preferably to receive acoustic emission signal.Laser instrument 10 is by adjusting
Current can export the laser of prescribed energy, and laser enters laser focusing head 8 by optical fiber 9 conduction, and laser focusing head 8 is fixed
On focus head fixed adjustment device 7, focus head fixed adjustment device 7 is fixed on lathe milling head, described laser focusing head 8
By the surface of laser light incident to workpiece 3, change laser light incident direction and incidence by adjusting described focus head fixed adjustment device 7
Spot diameter size at surface of the work.Signal processing module 11, digital sampling and processing 12 are positioned at acoustic emission sensor list
Between unit 4 and industrial computer 13, between industrial computer 13 and milling machine table 1, digital sampling and processing 12, acoustic emission sensor list
Unit 4 is all connected by cable with between signal processing module 11 and digital sampling and processing 12.
The LASER HEATING auxiliary milling attachment of the present invention operationally, controls laser instrument 10 and adjusts laser power, open light
Lock, makes cutting zone temperature reach processing request by preheating, and laser enters laser focusing head 8, focus head by optical fiber 9 conduction
Fixed adjustment device 7 can adjust laser light incident direction and be incident on the spot diameter size on workpiece 3 surface.Described laser instrument
10 is CO2Laser instrument, YAG laser or semiconductor laser.Wherein YAG laser has output wave length, beneficially metal
The absorption of material for laser light, and be suitable to fiber optic conduction, it is possible to the advantages such as convenient and traditional machine tool is integrated.
Described acoustic emission sensor unit 4, signal processing module 11 and digital sampling and processing 12 broadly fall into hardware and put down
Platform, is used for realizing signals collecting, detection and digitized.In milling process, milling cutter 5 can produce a kind of elastic wave when rupturing,
This elastic wave is producing plastic deformation and the energy that discharges when rupturing is converted into the form of sound wave and propagates from solid
, this sound wave can well be detected by 3 described acoustic emission sensors.LASER HEATING is assisted by acoustic emission sensor
In milling process, the signal of characteristic frequency carries out real time on-line monitoring, and detected acoustical signal then passes to signal processing mould
Block 11, the acoustical signal received is carried out exporting after range-adjusting, analog filtering and difference convert by described signal processing module 11,
Signal after process enters digital sampling and processing 12 and carries out post processing, through the data of digital sampling and processing 12 post processing
Finally it is transferred to industrial computer 13.On the software processes analysis platform LabVIEW of industrial computer 13, data are processed and displayed out
Waveform.Judge the signal of a certain frequency band paid close attention to, and the signal in this frequency band is made wavelet decomposition, primary signal is divided
Solve different frequency range, judge, according to the energy of decomposed signal, the degree that milling cutter 5 weares and teares, adjust laser and cutting parameter in time to milling
Cutter 5 abrasion carries out real-Time Compensation, it is ensured that fully meet the requirement of machining accuracy in working angles.After machining, close black out
Lock, stops gathering acoustic emission signal.
Described digital sampling and processing 12 comprises A/D converter, amplifier and data processor.Described A/D converter
After receiving the signal of described signal processing module 11, after being translated into digital signal, transmit data processor through amplifier.
Described data processor receives the data of described amplifier output and these data is carried out Screening Treatment, and result is defeated
Go out to industrial computer 13.Owing to when LASER HEATING auxiliary milling attachment work, the vibration of lathe or noise etc. all can be sent out by back drop
Penetrating sensor and receive acoustical signal so that measure and be mixed with many interference signals in the middle of signal, these interference signals can make described
There is deviation in the judgement of milling cutter 5 abrasion condition, and acoustic emission sensor each time is recorded by the most described data processor needs
Data are screened, and obtain measurement acoustical signal S1.The acoustical signal data that x-th acoustic emission sensor obtains are SX, then institute is passed through
The meansigma methods stating the acoustical signal data that acoustic emission sensor unit 4 is obtained is S, and the computing formula of the most described S is:
Acoustical signal data threshold W is setminAnd Wmax
Wmin=S (1-m%)
Wmax=S (1+m%)
Work as Wmin<Sx<WmaxTime, data S obtainedxIn set threshold range, then these data retain;
Work as Sx>WmaxOr Sx<Wmin, data S that obtainedxNot in the threshold range of this setting, then delete these data.
In formula, S is the meansigma methods of acoustical signal data, SXThe acoustical signal data obtained for x-th acoustic emission sensor, X
For acoustic emission sensor quantity, m is the constant arranged, WminAnd WmaxFor acoustical signal data threshold.Described constant m can be according to reality
Border situation is configured, and in the present embodiment, described constant m value is set to 10-30.When X acoustic emission in described milling cutter 5 passes
When the acoustical signal data that sensor obtains are not in threshold value, described data processor carries out delete processing, described milling to the Sx obtained
When the acoustical signal data that X acoustic emission sensor in cutter 5 obtains are in threshold value, the Sx obtained then is entered by described data processor
Row reservation process, and then obtain measurement acoustical signal S needed, thus can discharge in milling process lathe vibrations or noise and different
The impact that measurement is caused by thing etc..Compared with the prior art, this data processing method is calculated by the formula quantified, process letter
Single, perform motivated, calculate rapidly and make obtained data more accurate.
In milling attachment, milling cutter 5 abrasion is a progressive process, and change is relatively slow, when conventional machining, and workman
Milling cutter 5 degree of wear can be estimated according to the vibration of lathe or noise and cutting state etc..But in automatization's course of processing, then
Need system can automatic decision milling cutter 5 the degree of wear and in time change milling cutter 5, to avoid owing to milling cutter 5 wear extent is excessive
The crudy caused declines, and improves production efficiency simultaneously, reduces labor cost.Compared with other non-destructive monitoring methods, sound
Launch monitor have sensor simple installation, signal frequency abundant information, do not affect the course of processing, can to realize dynamic detection etc. excellent
Point.And acoustic-emission monitoring is the high frequency elastic stress wave signal sent when milling cutter 5 abrasion and breakage, avoids processed
Vibration and the with serious pollution low frequency range of audio signal in journey, in high frequency region, sensitivity is higher, and capacity of resisting disturbance is strong, simultaneously by milling
The impact cutting parameter and milling cutter 5 geometric parameter is less, damaged very sensitive to milling cutter 5, is worn and torn by acoustic emission monitor(ing) milling cutter 5 and swashs
Light heating auxiliary milling integrates, it is possible to make this technology of LASER HEATING milling play maximum economic benefit.Test
Show, this method strong operability, be conducive to promoting in monitoring in real time and applying.
Embodiment 2
On the basis of above-mentioned embodiment, described real-time monitoring device also includes current sensor, described current sense
Device is connected with the motor of main shaft, and by cable, the current signal of the spindle motor received is sent to signal processing module
11.Current signal and acoustic emission signal final biography after digital sampling and processing 12 through signal processing module 11 process
Delivering to industrial computer 13, described industrial computer 13 selects LabVIEW software as the collection of data and analysis platform, passes through wavelet transformation
Current signal and acoustic emission signal for gathering analyze and process in real time, and damaged with predetermined threshold value multilevel iudge milling cutter 5
Situation.In metal milling process, Milling Force can occur corresponding change along with the increase of milling cutter 5 wear extent, utilizes Milling Force to believe
Number can realize the monitoring of milling cutter 5 state of wear, but the high cost of Milling Force measuring instrument have impact on the actual application of the method
It is worth;The change of Milling Force can cause the change of motor output torque, so that current of electric changes, hence with motor
Current signal can realize the monitoring to milling cutter 5 state of wear indirectly.Due to current sensor low cost, it is easy to install, therefore
Current monitoring method has good application foundation.But individually current signal is not only relevant with tool wear, also join with milling
Number, part material, material of cutting-tool are relevant, are used alone current signal and judge that cutter wear situation reliability is poor.And sound is sent out
The impact penetrating signal Stimulated Light parameter, Milling Parameters and milling cutter geometric parameter is the least.Therefore, send out in conjunction with current signal harmony
Penetrate signal, more information can be obtained so that the judgement to cutter wear situation is more comprehensive and reliable.
Embodiment 3
On the basis of above-mentioned embodiment, described industrial computer 13 includes terminal control module.Described industrial computer 13 is selected
LabVIEW software, as the collection of data and analysis platform, is carried out at real-time analysis for the signal gathered by wavelet transformation
Reason, by terminal control module and predetermined threshold value multilevel iudge, adjusts laser and cutting parameter in time and milling cutter 5 abrasion is carried out reality
Time compensate, it is ensured that in working angles, fully meet the requirement of machining accuracy, if exceeding threshold value terminal control module, reporting to the police, carrying
Wake up and change milling cutter 5.
Embodiment 4
On the basis of above-mentioned embodiment, described acoustic emission sensor unit 4 is connected between signal processing module 11
There is preamplifier.The signal voltage of sensor output is the lowest, these faint signal signal intensitys after long range propagation
Decay, needs to be brought up to a certain degree by signal by preamplifier, and improves the signal to noise ratio of signal.In acoustic emission system,
Preamplifier controls the size of whole system noise, and preamplifier occupies an important position.
Embodiment 5
On the basis of above-mentioned embodiment, described signal processing module 11 is adjusted circuit, wave filter, difference by signal amplitude
Dynamic amplifier composition, the acoustic emission signal amplified through preamplifier first after signal amplitude adjusts circuit, sound now
Launch signal, current signal is mingled with various noise, filters impurity by wave filter, is finally converted by signal by differential amplifier
Become the A/D receptible differential signal of converter.Differential amplifier be filtered signal is become two-way differential wave+
OUTPUT and-OUTPUT, this two paths of signals phase with one another differs 180 degree, so also eliminates certain common mode disturbances.
Embodiment 6
On the basis of above-mentioned embodiment, described laser heating device also includes temperature field finite element simulation module.This
The method selecting suitable technological parameter that invention proposes is that result based on FEM (finite element) model carries out selecting to optimize.Cutting region
Territory temperature is that LASER HEATING assists the most important parameter of milling, reflects the softening degree of local ob, and selected parameter needs
Ensure cutting zone temperature within the specific limits, directly obtain suitable technological parameter by the method for test relatively costly, and
The method using emulation is saved the time, is reduced cost, and can obtain suitable technological parameter.Size according to practical work piece
Set up model partition grid, laser is regarded as surface heat flow, load heat radiation and convection boundary condition, and pass through temperature survey
Test revises the boundary after condition, i.e. available temperature distribution prediction model accurately.Use according to pilot system and can select technique
Parameter emulates, and with cutting zone temperature as optimization aim, the technological parameter in conjunction with milling selects feature, i.e. available final
Working process parameter.
Optimization processing technology parameter is selected, it is possible to obtain laser power, cutting speed, enter by temperature field finite element simulation
The technological parameters such as the amount of giving, feed speed, preheating time, laser spot center distance milling cutter centre distance.
Embodiment 7
On the basis of above-mentioned embodiment, described milling attachment also includes numerical control rotary table or and two-dimensional movement work
Station.In LASER HEATING auxiliary milling process, laser cannot adjust with the relative position of milling cutter, which results in Working position relative
It is only a direction in milling cutter.For having complicated groove, the isostructural complex part of die cavity, clamping just can reach the most again
The purpose softened to LASER HEATING, this just significantly limit the range of application of this technology.Therefore the present invention is directed to different adding
Work workpiece and original CNC milling machine add rotary table or and two-dimensional movement workbench.At Numerical-control Milling Machines workbench
Place a numerical control rotary table on 1, reach to change the effect of workpiece relative direction, two dimensional surface workbench is positioned over simultaneously
On numerical control rotary table, reach the effect changing workpiece relative to position.
Detailed description of the invention is: for processing linear, and requirement on machining accuracy is the highest or existing milling machine can not meet requirement
Occasion.Numerical-control Milling Machines increases rotary table, first adjusts position and process in one direction, when processing side
When needs change, milling cutter 5 promotes, and optical gate is closed, and rotary table rotates to next position, so that machine direction and laser
Incident direction is identical, and CNC milling machine workbench 1 moves to postrotational Working position simultaneously, and milling cutter 5 carries out the next one after falling
The processing of position.But owing to laser light incident cannot adjust relative to position in the course of processing at any time, it is only capable of processing linear track;
For needing the occasion that Processing Curve, processing fragile material or requirement on machining accuracy are higher.Two-dimensional movement workbench is positioned over
On rotary table, CNC milling machine machine tool chief axis 6 and rotary table central coaxial, rotary table is during rotating
Only change the direction of processing, do not change the position of milling cutter 5 relative two dimensional mobile working platform, now can ensure that laser light incident is relative
Position can adjust in the course of processing at any time, therefore can meet the processing request of curvilinear path.In the course of processing workpiece with
Mobile working platform to move, rotate the relative angle changing laser light incident position with workpiece, laser facula position with rotary table
Put and need not change.
The foregoing is only presently preferred embodiments of the present invention, be merely illustrative for the purpose of the present invention, and non-limiting
's.Those skilled in the art understands, it can be carried out many changes in the spirit and scope that the claims in the present invention are limited,
Amendment, even equivalence, but fall within protection scope of the present invention.
Claims (10)
1. the LASER HEATING auxiliary milling attachment that can monitor tool wear in real time, it is characterised in that include milling attachment, swash
Optical heating device, real-time monitoring device;
Described milling attachment includes CNC milling machine workbench (1), milling cutter (5), is fixed on described CNC milling machine workbench (1)
Workpiece (3);
Described laser heating device includes laser focusing head (8), and described laser focusing head (8) is by laser light incident to workpiece (3)
Surface;
Described real-time monitoring device includes acoustic emission sensor unit (4), Signal-regulated kinase (11), digital sampling and processing
(12), industrial computer (13);
Described acoustic emission sensor unit (4) includes that multiple acoustic emission sensor, the plurality of acoustic emission sensor are arranged on work
Part (3) is upper detects the described milling cutter (5) acoustical signal when milling state, and described acoustical signal is through signal processing module (11) and data
Acquisition processing module (12) is stored in after processing in industrial computer (13), by processing and analyzing, show that described milling cutter (5) grinds in real time
Damage state.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 1, it is characterised in that
Described digital sampling and processing (12) comprises A/D converter, amplifier and data processor, and described A/D converter will receive
To acoustical signal be converted into digital signal after pass to data processor through amplifier, described data processor receives described amplification
Device output data and these data are carried out Screening Treatment.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 2, it is characterised in that
The Screening Treatment process of data is by described data processor:
Calculating the meansigma methods of acoustical signal data, formula is:
Acoustical signal data threshold W is setminAnd Wmax
Wmin=S (1-m%)
Wmax=S (1+m%)
Work as Wmin<Sx<WmaxTime, data S obtainedxIn set threshold range, then these data retain;
Work as Sx>WmaxOr Sx<Wmin, data S that obtainedxNot in the threshold range of this setting, then delete these data.
In formula, S is the meansigma methods of acoustical signal data, SXThe acoustical signal data obtained for x-th acoustic emission sensor, X is that sound is sent out
Penetrating number of sensors, m is the constant arranged, WminAnd WmaxFor acoustical signal data threshold.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 2, it is characterised in that
Described real-time monitoring device also includes that current sensor, described current sensor are connected with the motor of main shaft, and will receive
The current signal of spindle motor is sent to described signal processing module (11) by cable.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 4, it is characterised in that
Described industrial computer (13) includes that real-time state of wear is carried out by terminal control module, described terminal control module with predetermined threshold value
Relatively, if exceeding threshold value will carry out alarm replacing milling cutter (5).
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 5, it is characterised in that
It is connected between described acoustic emission sensor (4) with signal processing module (11) and has preamplifier.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 6, it is characterised in that
Described signal processing module (11) is adjusted circuit by signal amplitude, wave filter, differential amplifier form.
8. according to the LASER HEATING auxiliary milling attachment that can monitor tool wear in real time described in any one of claim 1-7, its
Being characterised by, described laser heating device also includes temperature field finite element simulation module, described temperature field finite element simulation module
Optimize laser heating process parameter.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 8, it is characterised in that
Described milling attachment also includes numerical control rotary table or and two-dimensional movement workbench.
The LASER HEATING auxiliary milling attachment that can monitor tool wear in real time the most according to claim 8, its feature exists
In, described laser heating device also includes focus head fixed adjustment device (7), optical fiber (9), laser instrument (10), described laser instrument
(10) laser of prescribed energy can be exported and enter described laser focusing head (8), described laser by described optical fiber (9) conduction
Focus head (8) is fixed on described focus head fixed adjustment device (7), and described focus head fixed adjustment device (7) is fixed on
On lathe milling head, change laser light incident direction by adjusting described focus head fixed adjustment device (7) and be incident on surface of the work
Spot diameter size.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610605407.6A CN106216745B (en) | 2016-07-28 | 2016-07-28 | A kind of laser heating auxiliary milling attachment that can monitor tool wear in real time |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610605407.6A CN106216745B (en) | 2016-07-28 | 2016-07-28 | A kind of laser heating auxiliary milling attachment that can monitor tool wear in real time |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106216745A true CN106216745A (en) | 2016-12-14 |
CN106216745B CN106216745B (en) | 2018-07-24 |
Family
ID=57534420
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610605407.6A Active CN106216745B (en) | 2016-07-28 | 2016-07-28 | A kind of laser heating auxiliary milling attachment that can monitor tool wear in real time |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106216745B (en) |
Cited By (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106944835A (en) * | 2017-04-25 | 2017-07-14 | 山东大学 | One kind heating auxiliary milling attachment and method |
CN108356607A (en) * | 2018-04-26 | 2018-08-03 | 中南大学 | The device and method of middle cutting tool state is formed for monitoring machining and chip |
CN108817489A (en) * | 2018-06-20 | 2018-11-16 | 华中科技大学 | Collimator pose regulating device and method for free form surface laser assisted milling |
CN109454325A (en) * | 2018-11-26 | 2019-03-12 | 南京航空航天大学 | A kind of laser assisted cuts the device and its technique of the transparent hard brittle material of grinding |
CN109482953A (en) * | 2018-12-06 | 2019-03-19 | 沈阳航空航天大学 | A kind of electric heating auxiliary milling attachment and method |
CN109623494A (en) * | 2019-01-18 | 2019-04-16 | 四川大学 | A kind of three-in-one sensor fixture and multi-modal cutting-tool wear state monitor system |
CN110421351A (en) * | 2019-08-27 | 2019-11-08 | 哈尔滨理工大学 | Laser for complex milling machine tool heats automatic monitoring system and monitoring method |
CN110434670A (en) * | 2018-05-04 | 2019-11-12 | 奥迪股份公司 | The method and machining tool of original members are processed by machining tool |
CN110587402A (en) * | 2019-09-03 | 2019-12-20 | 南通大学 | Method and device for detecting and trimming end face grinding wheel quality in real time |
CN110614445A (en) * | 2019-09-16 | 2019-12-27 | 重庆大学 | Laser head phase angle self-adaptive adjusting method for laser-assisted cutting |
CN112139574A (en) * | 2020-09-23 | 2020-12-29 | 长春理工大学 | Inductively coupled laser-assisted milling device and method |
CN112296408A (en) * | 2020-10-22 | 2021-02-02 | 南京航空航天大学 | Processing equipment and processing method for surface heat dissipation structure of laminated AlN substrate |
TWI732977B (en) * | 2017-01-20 | 2021-07-11 | 日商迪思科股份有限公司 | Cutting device |
CN113333840A (en) * | 2021-05-31 | 2021-09-03 | 西北工业大学 | Heat-assisted milling device |
CN113829078A (en) * | 2021-10-22 | 2021-12-24 | 沈阳航空航天大学 | Laser drilling auxiliary drilling device and method |
CN113843631A (en) * | 2021-10-15 | 2021-12-28 | 华中科技大学 | Selective processing system based on in-situ laser high-frequency regulation and control technology |
CN113894617A (en) * | 2021-09-22 | 2022-01-07 | 沈阳机床(集团)有限责任公司 | Cutter state monitoring system and method based on machine tool vibration signals |
CN114585473A (en) * | 2019-10-04 | 2022-06-03 | 豪迈公司 | Method for determining wear degree, device for determining wear degree, machining device, and computer program |
CN115383515A (en) * | 2022-09-15 | 2022-11-25 | 沈阳航远航空技术有限公司 | Electric heating auxiliary cutting system and method for online monitoring and adjusting cutter abrasion |
CN115635366A (en) * | 2022-10-12 | 2023-01-24 | 哈尔滨工程大学 | Large machine tool blade acoustic emission online monitoring system and method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3934679B2 (en) * | 1996-02-15 | 2007-06-20 | バーナル インターナショナル,インコーポレイテッド | Cutting die and method for manufacturing the same |
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 |
CN102430904A (en) * | 2011-10-19 | 2012-05-02 | 哈尔滨工业大学 | Auxiliary laser heating milling device and method |
CN103048383A (en) * | 2012-11-30 | 2013-04-17 | 大连理工大学 | Bull-nose-shaped milling cutter damage detection system in rough machining process of three-dimensional impeller |
CN203542239U (en) * | 2013-09-24 | 2014-04-16 | 沈阳利笙电子科技有限公司 | Multi-sensor cutter wear detection device |
CN104708497A (en) * | 2015-03-17 | 2015-06-17 | 洛阳理工学院 | Tool wear monitoring system based on current and sound emission composite signals |
-
2016
- 2016-07-28 CN CN201610605407.6A patent/CN106216745B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3934679B2 (en) * | 1996-02-15 | 2007-06-20 | バーナル インターナショナル,インコーポレイテッド | Cutting die and method for manufacturing the same |
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 |
CN102430904A (en) * | 2011-10-19 | 2012-05-02 | 哈尔滨工业大学 | Auxiliary laser heating milling device and method |
CN103048383A (en) * | 2012-11-30 | 2013-04-17 | 大连理工大学 | Bull-nose-shaped milling cutter damage detection system in rough machining process of three-dimensional impeller |
CN203542239U (en) * | 2013-09-24 | 2014-04-16 | 沈阳利笙电子科技有限公司 | Multi-sensor cutter wear detection device |
CN104708497A (en) * | 2015-03-17 | 2015-06-17 | 洛阳理工学院 | Tool wear monitoring system based on current and sound emission composite signals |
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI732977B (en) * | 2017-01-20 | 2021-07-11 | 日商迪思科股份有限公司 | Cutting device |
CN106944835B (en) * | 2017-04-25 | 2019-07-05 | 山东大学 | A kind of heating auxiliary milling process method |
CN106944835A (en) * | 2017-04-25 | 2017-07-14 | 山东大学 | One kind heating auxiliary milling attachment and method |
CN108356607A (en) * | 2018-04-26 | 2018-08-03 | 中南大学 | The device and method of middle cutting tool state is formed for monitoring machining and chip |
CN108356607B (en) * | 2018-04-26 | 2023-08-08 | 中南大学 | Device and method for monitoring the condition of a tool in cutting machining and chip forming |
CN110434670A (en) * | 2018-05-04 | 2019-11-12 | 奥迪股份公司 | The method and machining tool of original members are processed by machining tool |
CN108817489A (en) * | 2018-06-20 | 2018-11-16 | 华中科技大学 | Collimator pose regulating device and method for free form surface laser assisted milling |
CN108817489B (en) * | 2018-06-20 | 2019-08-13 | 华中科技大学 | Collimator pose regulating device and method for free form surface laser assisted milling |
CN109454325A (en) * | 2018-11-26 | 2019-03-12 | 南京航空航天大学 | A kind of laser assisted cuts the device and its technique of the transparent hard brittle material of grinding |
CN109482953A (en) * | 2018-12-06 | 2019-03-19 | 沈阳航空航天大学 | A kind of electric heating auxiliary milling attachment and method |
CN109623494B (en) * | 2019-01-18 | 2023-08-15 | 四川大学 | Three-in-one sensor clamp and multi-mode cutter wear state monitoring system |
CN109623494A (en) * | 2019-01-18 | 2019-04-16 | 四川大学 | A kind of three-in-one sensor fixture and multi-modal cutting-tool wear state monitor system |
CN110421351A (en) * | 2019-08-27 | 2019-11-08 | 哈尔滨理工大学 | Laser for complex milling machine tool heats automatic monitoring system and monitoring method |
CN110587402A (en) * | 2019-09-03 | 2019-12-20 | 南通大学 | Method and device for detecting and trimming end face grinding wheel quality in real time |
CN110587402B (en) * | 2019-09-03 | 2021-09-17 | 南通大学 | Method and device for detecting and trimming end face grinding wheel quality in real time |
CN110614445A (en) * | 2019-09-16 | 2019-12-27 | 重庆大学 | Laser head phase angle self-adaptive adjusting method for laser-assisted cutting |
CN114585473A (en) * | 2019-10-04 | 2022-06-03 | 豪迈公司 | Method for determining wear degree, device for determining wear degree, machining device, and computer program |
CN112139574A (en) * | 2020-09-23 | 2020-12-29 | 长春理工大学 | Inductively coupled laser-assisted milling device and method |
CN112296408B (en) * | 2020-10-22 | 2022-03-29 | 南京航空航天大学 | Processing equipment and processing method for surface heat dissipation structure of laminated AlN substrate |
CN112296408A (en) * | 2020-10-22 | 2021-02-02 | 南京航空航天大学 | Processing equipment and processing method for surface heat dissipation structure of laminated AlN substrate |
CN113333840A (en) * | 2021-05-31 | 2021-09-03 | 西北工业大学 | Heat-assisted milling device |
CN113894617A (en) * | 2021-09-22 | 2022-01-07 | 沈阳机床(集团)有限责任公司 | Cutter state monitoring system and method based on machine tool vibration signals |
CN113843631A (en) * | 2021-10-15 | 2021-12-28 | 华中科技大学 | Selective processing system based on in-situ laser high-frequency regulation and control technology |
CN113843631B (en) * | 2021-10-15 | 2022-08-16 | 华中科技大学 | Selective processing system based on in-situ laser high-frequency regulation and control technology |
CN113829078A (en) * | 2021-10-22 | 2021-12-24 | 沈阳航空航天大学 | Laser drilling auxiliary drilling device and method |
CN115383515A (en) * | 2022-09-15 | 2022-11-25 | 沈阳航远航空技术有限公司 | Electric heating auxiliary cutting system and method for online monitoring and adjusting cutter abrasion |
CN115635366A (en) * | 2022-10-12 | 2023-01-24 | 哈尔滨工程大学 | Large machine tool blade acoustic emission online monitoring system and method |
Also Published As
Publication number | Publication date |
---|---|
CN106216745B (en) | 2018-07-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106216745A (en) | A kind of LASER HEATING auxiliary milling attachment that can monitor tool wear in real time | |
Haber et al. | An investigation of tool-wear monitoring in a high-speed machining process | |
CN102929210B (en) | Control and optimization system for feature-based numerical control machining process and control and optimization method therefor | |
Bhuiyan et al. | An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning | |
CN105058165A (en) | Tool abrasion loss monitoring system based on vibration signals | |
Ertekin et al. | Identification of common sensory features for the control of CNC milling operations under varying cutting conditions | |
CN106312567A (en) | Laser-assisted orthogonal micro-cutting device and method having automatic laser focus following function | |
CN205318211U (en) | Inertia match parameter formula digit control machine tool is optimized and real -time monitoring system | |
Choudhury et al. | On-line control of machine tool vibration in turning | |
US20210278817A1 (en) | Online precise control method for truncating parameters of microscale abrasive grains | |
CN206066100U (en) | Numerical control deep hole internal grinder measurement monitoring process integration device and control system | |
Martin et al. | A comparison of in-process tool wear measurement methods in turning | |
CN105241953A (en) | Diamond circular saw blade weld eddy current test device and system | |
Doukas et al. | On the estimation of tool-wear for milling operations based on multi-sensorial data | |
CN204686664U (en) | A kind of grinding-wheel grinder undermines the measurement mechanism of G ratio | |
Huang et al. | The wear detection of mill-grinding tool based on acoustic emission sensor | |
Zhuo et al. | Overview on development of acoustic emission monitoring technology in sawing | |
CN114227382A (en) | Cutter damage monitoring system and method based on novel capsule network | |
CN106112713A (en) | Numerical control deep hole internal grinder measures monitoring processing integrated apparatus and control system | |
CN103644960B (en) | A kind of ultrasonic vibration aided grinding processing dynamic amplitude survey tool and measuring method | |
CN107433492B (en) | A kind of milling parameter test block and its test method | |
Deja et al. | A pilot study to assess manufacturing processes using selected point measures of vibroacoustic signals generated on a multitasking machine | |
CN106041737B (en) | Flat surface grinding effective cut depth On-line Measuring Method | |
Hasan et al. | Deep neural network tool chatter model for aluminum surface milling using acoustic emmision sensor | |
Thaler et al. | Chatter recognition in band sawing based on feature extraction and discriminant analysis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |