CN104043885A - Sound emission technology-based surface white layer removal method - Google Patents
Sound emission technology-based surface white layer removal method Download PDFInfo
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- CN104043885A CN104043885A CN201410260990.2A CN201410260990A CN104043885A CN 104043885 A CN104043885 A CN 104043885A CN 201410260990 A CN201410260990 A CN 201410260990A CN 104043885 A CN104043885 A CN 104043885A
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Abstract
The invention relates to a sound emission technology-based surface white layer removal method, comprising the steps of setting a plurality of groups control parameters, collecting representation emission signals corresponding to each group of control parameters in an online mode, using a scanning electronic microscope to respectively measure a plurality of surface white layer thicknesses of a material workpiece according to feature parameter root-mean-square values calculated by a feature parameter root-mean-square value formula, calculating a plurality of discharging energy values according to a discharging energy formula, determining a corresponding relation among the surface white layer thicknesses, the discharging energy values and the feature parameter root-mean-square values by using a regression analysis method, storing the corresponding relation into a slow speed wire cutting machine tool system, using the regression analysis method to determine the corresponding relation between the feature parameter root-mean-square values and the surface white layer thicknesses and the between the feature parameter root-mean-square values and the discharging energy values, predicting a first surface white layer thickness and a second surface white layer thickness which are generated after cutting in an online mode, and calculating the difference value between the first surface white layer thickness and the second surface white layer thickness as a feed rate.
Description
Technical field
The silk thread cutting processing field that the present invention relates to be careful, especially relate in this field, the white layer of different materials surface of the work in slow wire feeding line cutting processing accurately can be removed based on acoustic emission surface white layer removal method.
Background technology
It is precision machined a kind of that slow wire feeding Wire EDM belongs to, and can process the conductive material of any hardness.The high temperature of discharge generation makes material fusing or vaporization, is issued to the effect of removal material at the flushing action of pressure medium.But molten metal is not removed completely, some material is again solidified on material surface and forms the white layer in surface, has reduced the quality of finished surface.Conventionally adopt the repeatedly pruning cutting method that the discharge energy of cutting reduces successively at every turn to remove surface layer in vain, but while cutting when adopting the method, the amount of feeding of wire electrode is determined a not clear and definite foundation at every turn, normally operating personnel rule of thumb arrange, therefore the amount of feeding of operated by rotary motion is bigger than normal, can cause waste to workpiece material itself, repeatedly according to such method to set up, remove, take care of the pence and just caused a large amount of wastes of material.And the material of slow wire feeding Wire-cut Electrical Discharge Machining is conventionally all more expensive, so the saving of material just seems more important, and the process route that material is saved in design more also just seems more meaningful.
In the middle of known technology, sound emission is when certain regional area of material or structure or integral body are subject to external force or internal stress effect generation plastic deformation or destroy, the strain energy that its inside is saved with the form of Elastic wave rapidly/a kind of common physical phenomenon that discharges.Main feature has: a kind of 1. Dynamic Non-Destruction Measurement method; 2. its sound source energy is from stress, the strain energy of measured object self, and being different from detection needs outside ultrasonic wave, the X-ray detection X method that energy is provided; 3. not high to the degree of closeness demand of measured object, be relatively applicable to high and low temperature, the inaccessible occasion of additive method under inflammable and explosive mal-condition such as grade; 4. insensitive to the physical dimension of structure, be applicable to baroque mechanical system.Acoustic emission testing technology is widely used in the research of traditional machining process, but the application in slow wire feeding Wire EDM is still considerably less.
Not having at present a kind of effective method is that the white layer realization in surface that can produce different materials surface of the work in slow wire feeding line cutting processing accurately removed.
Summary of the invention
For the problems referred to above, the object of the present invention is to provide a kind of based on acoustic emission come the amount of feeding of control electrode silk accurately remove in the slow wire feeding line cutting processing white layer of different materials surface of the work based on acoustic emission surface white layer removal method.
Provided by the invention a kind of based on acoustic emission surface white layer removal method, can be for different materials workpiece the amount of feeding of the material parameter control electrode silk based on acoustic emission and different workpieces, thereby accurately remove this workpiece because producing the white layer in surface in slow wire feeding line cutting processing, there are following steps: step 1 is for to be connected calibrate AE sensor with sound emission acquisition system, and be placed near workpiece to be processed; Step 2 is controlled parameter for plural groups is set in slow feeding linear cutting bed system, and this plural groups is controlled parameter and at least comprised respectively pulse width, interpulse period and peak point current; Step 3 is according to one group of set control parameter wherein, online acquisition corresponding with this group control parameter for reflecting the sign acoustic emission signal of workpiece material surface condition, this sign acoustic emission signal is according to characteristic parameter root-mean-square value formula
the characteristic parameter root-mean-square value gained calculating; Step 4 is controlled the parameter white layer thickness in a plurality of surfaces one to one for what use that SEM measures respectively material workpiece with plural groups; Step 5 is according to discharge energy formula
calculate with plural groups and control parameter a plurality of discharge energy values one to one; Step 6 be utilize regression analysis determine characteristic parameter root-mean-square value respectively and the white layer thickness in a plurality of surface and a plurality of discharge energy value between corresponding relation; Step 7, for corresponding relation is stored in slow feeding linear cutting bed system, utilizes corresponding relation on-line prediction to go out the rear white layer thickness h of first surface producing of cutting when cutting machined material
nthe white layer thickness h of second surface next time producing after cutting
n+1, calculate this h
nwith the white layer thickness h of second surface
n+1difference be amount of feeding Δ h, i.e. Δ h=h
n-h
n+1; Thereby step 8 changes discharge energy change amount of feeding Δ h for control parameter by online adjustment; And step 9 is for until described rapidoprint surface quality reaches requirement,
Wherein, online acquisition, on-line prediction and online adjustment are all carried out in the non-stop-machine situation of slow feeding linear cutting bed system.
Provided by the invention a kind of based on acoustic emission surface white layer removal method, also there are following steps: before plural groups control parameter is set, test cutting, to obtain control parameter, wherein, in experiment cutting step, to in different materials workpiece wherein a kind of material to be processed once cuts time, using pulse width, interpulse period and peak point current as one group of experiment parameter, repeat to test cutting step, obtain plural groups experimental data and be used as the control parameter corresponding with material to be processed.
Invention effect
According to involved in the present invention a kind of based on acoustic emission surface white layer removal method, calibrate AE sensor is connected with sound emission acquisition system, and relative to setting with workpiece to be processed, plural groups is set in slow wire feeding System of HS-WEDM and controls parameter, this plural groups is controlled parameter and is at least comprised respectively pulse width, interpulse period and peak point current, according to wherein one group control parameter, online acquisition is controlled the corresponding sign acoustic emission signal of parameter with this group, and this characterizes acoustic emission signal according to characteristic parameter root-mean-square value formula
the characteristic parameter root-mean-square value gained calculating, that uses that SEM measures respectively material workpiece controls the parameter white layer thickness in a plurality of surfaces one to one with plural groups, according to discharge energy formula
calculate with plural groups and control parameter a plurality of discharge energy values one to one, utilize regression analysis determine characteristic parameter root-mean-square value respectively and the white layer thickness in a plurality of surface and a plurality of discharge energy value between corresponding relation, corresponding relation is stored in slow feeding linear cutting bed system, when cutting machined material, utilizes corresponding relation on-line prediction to go out the rear white layer thickness h of second surface producing of cutting
n+1, according to corresponding relation on-line prediction, go out current cutting machined material time the white layer thickness h of first surface that produces
n, calculate this h
nwith the white layer thickness h of second surface
n+1difference be amount of feeding Δ h, i.e. Δ h=h
n-h
n+1thereby, finally by online adjustment, control parameter and change discharge energy change amount of feeding Δ h.Institute is so that the white layer of different materials surface of the work can accurately be removed in slow wire feeding line cutting processing.
Accompanying drawing explanation
Fig. 1 is the present invention's calibrate AE sensor in an embodiment and the syndeton schematic diagram of sound emission acquisition system;
Fig. 2 is the action flow chart that the white layer in the present invention surface is in an embodiment removed process; And
Fig. 3 is the cutting amount of feeding schematic diagram of the present invention's material to be processed in an embodiment.
The specific embodiment
Referring to accompanying drawing and embodiment, surface involved in the present invention white layer removal method is explained in detail.
Embodiment
Fig. 1 is the present invention's calibrate AE sensor in an embodiment and the connection diagram of sound emission acquisition system.
As shown in Figure 1, calibrate AE sensor 1 is fixed on slow feeding linear cutting bed system 2, relative to placement with material 4 to be processed, then calibrate AE sensor 1 is connected to sound emission acquisition system 3.In order to collect useful acoustic emission signal, the capture card that is 2M/s according to the pulse frequency of LSWEDM Pulse Generator and sampling thheorem choice for use sample frequency.Start to add man-hour, the acquisition interface of controlling on display screen 5 is controlled collection beginning.Acquisition system has been write capture program by Labview.
Fig. 2 is the action flow chart that the white layer in the present invention surface is in an embodiment removed process.
Step S1:
The present invention can process different materials workpiece, for a kind of material to be processed 4 wherein, describe in the present embodiment, when once cutting, using pulse width, interpulse period and the peak point current of the slow feeding linear cutting bed system 2 that this material 4 to be processed is cut as one group of experiment parameter, the parameter that pulse width, interpulse period and peak point current have the greatest impact to discharge energy.Repeat to test cutting step, obtain the plural groups experimental data of repeatedly cutting gained on this material 4 to be processed and be used as controlling parameter, enter step S2.
Step S2:
Pulse width, interpulse period and the peak point current of slow feeding linear cutting bed system are set as controlling parameter, this control parameter is corresponding with material 4 to be processed, enters step S3.
Step S3:
Gather the acoustic emission signal corresponding with material 4 to be processed, according to characteristic parameter root-mean-square value formula
calculate characteristic parameter root-mean-square value, the sample record that wherein x (t) is random signal, T is the sample record time, enters step S4.
Step S4:
Use goes out the white layer thickness value in surface of the cutting surfaces corresponding with controlling parameter with scanning electron microscopy measurement, enter step S5.
Step S5:
According to discharge energy formula
the discharge energy value that calculation and control parameter is corresponding, in formula, T is pulse width, and t is discharge time, and U (t) is discharge voltage, and I (t) is discharge current, enters step S6.
Step S6:
Use mathematical regression analytic approach draw characteristic parameter root-mean-square value respectively with the corresponding relation of the white layer thickness in surface and discharge energy value, enter step S7.
Step S7:
Corresponding relation is stored in slow feeding linear cutting bed system, can just can obtains the white layer thickness in surface according to the characteristic parameter root-mean-square value calculating later, enter step S8.
Step S8:
The white layer thickness in surface producing while next time cutting according to corresponding relation on-line prediction, enters step S9.
Step S9:
According to the white layer thickness in the surface of on-line prediction, thereby change discharge energy value by online adjustment control parameter, change the described amount of feeding.Add the pulse width, interpulse period and the peak point current that just change lathe man-hour, other parameters are controlled constant, therefore control noise signal identical, still can relatively draw the height of discharge energy value in the situation that there is no cancelling noise signal.
Fig. 3 is the cutting amount of feeding schematic diagram of the present invention's material to be processed 4 in an embodiment.
As shown in Figure 3, T
nfor essence cutting code name once, T
n+1for after essence once cutting code name, h
nand h
n+1be respectively the white layer thickness in surface that twice smart cutting can access.At T
nbefore cutting, corresponding relation on-line prediction goes out the white layer thickness h of first surface
n, at T
ncutting goes out the white layer thickness h of second surface according to rear according to corresponding relation on-line prediction
n+1.The amount of feeding Δ h that wire electrode is set is: Δ h=h
n-h
n+1.Thereby the wire electrode amount of feeding generally rule of thumb arranging is greater than the waste that Δ h causes matrix material.The part of drawing oblique line in Fig. 3 is that the parent metal of excessive and cut waste is set due to the wire electrode amount of feeding.
The effect of embodiment and effect
Related a kind of based on acoustic emission surface white layer removal method according to the present embodiment, by adopting acoustic emission, discharge energy value in slow wire feeding Wire-cut Electrical Discharge Machining process, the rapidoprint 4 white layer thicknesses in surface and characteristic parameter root-mean-square value are connected, realize the on-line prediction of white layer thickness and adjusted online with controlling parameter, thereby improved working (machining) efficiency.White layer thickness by online detected white layer thickness and next cutting parameter is accurately determined the wire electrode amount of feeding, has reduced the waste of material.The inventive method is also easy to embed in existing slow feeding linear cutting bed system and realizes commercial Application.
Above-described embodiment is preferred case of the present invention, is not used for limiting the scope of the invention.
Claims (2)
1. one kind based on acoustic emission surface white layer removal method, can be for different materials workpiece the amount of feeding of the material parameter control electrode silk based on acoustic emission and different workpieces, thereby accurately remove this workpiece because producing the white layer in surface in slow wire feeding line cutting processing, there are following steps:
Step 1, is connected calibrate AE sensor with sound emission acquisition system, and is placed near workpiece to be processed;
Step 2 arranges plural groups and controls parameter in slow feeding linear cutting bed system, and described in this, plural groups control parameter at least comprises respectively pulse width, interpulse period and peak point current;
Step 3, according to one group of set described control parameter wherein, online acquisition with this organize described control parameter corresponding for reflecting the sign acoustic emission signal of described workpiece material surface condition, this characterizes acoustic emission signal according to characteristic parameter root-mean-square value formula
the characteristic parameter root-mean-square value gained calculating;
Step 4, that uses that SEM measures respectively described material workpiece controls the parameter white layer thickness in a plurality of surfaces one to one with described plural groups;
Step 5, according to discharge energy formula
calculate with described plural groups and control parameter a plurality of discharge energy values one to one;
Step 6, utilize regression analysis determine described characteristic parameter root-mean-square value respectively and the white layer thickness in described a plurality of surface and described a plurality of discharge energy value between corresponding relation;
Step 7, is stored in described corresponding relation in described slow feeding linear cutting bed system, utilizes described corresponding relation on-line prediction to go out the rear white layer thickness h of first surface producing of cutting when the described machined material of cutting
nthe white layer thickness h of second surface next time producing after cutting
n+1, calculate this h
nwith the white layer thickness h of described second surface
n+1difference be described amount of feeding Δ h, i.e. Δ h=h
n-h
n+1;
Step 8, changes described amount of feeding Δ h thereby change described discharge energy value by the described control parameter of online adjustment; And
Step 9, until described rapidoprint surface quality reaches requirement,
Wherein, described online acquisition, described on-line prediction and described online adjustment are all carried out in the non-stop-machine situation of described slow feeding linear cutting bed system.
2. according to claim 1 based on acoustic emission surface white layer removal method, it is characterized in that also thering are following steps:
Before described plural groups control parameter is set, test cutting, to obtain described control parameter,
Wherein, in experiment cutting step, to in described different materials workpiece wherein a kind of material to be processed once cuts time, using described pulse width, described interpulse period and described peak point current as one group of experiment parameter, repeat described experiment cutting step, obtain plural groups experimental data and be used as the described control parameter corresponding with described material to be processed.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410260990.2A CN104043885B (en) | 2014-06-12 | 2014-06-12 | Based on acoustic emission technical face white minimizing technology |
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|---|---|---|---|
| CN201410260990.2A CN104043885B (en) | 2014-06-12 | 2014-06-12 | Based on acoustic emission technical face white minimizing technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106607628A (en) * | 2016-12-09 | 2017-05-03 | 上海理工大学 | An ultrasound and magnetic field-assisted wire cut electrical discharge machining method and device |
| CN111390306A (en) * | 2020-04-22 | 2020-07-10 | 东北林业大学 | Electric spark machining state detection method based on acoustic emission technology |
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Patent Citations (6)
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| CN1036108A (en) * | 1988-03-02 | 1989-10-04 | 西屋电气公司 | The employed method and apparatus of acoustic digitizer coil measurement system |
| GB2254280A (en) * | 1991-04-05 | 1992-10-07 | Rolls Royce Plc | Electrodischarge drilling. |
| CN2408458Y (en) * | 2000-01-31 | 2000-11-29 | 陈昌林 | High frequency electric spark sound wave vibration source |
| US6398942B1 (en) * | 2000-10-05 | 2002-06-04 | Korean Advanced Institute Of Science And Technology | Electrochemical machining process for fabrication of cylindrical microprobe |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106607628A (en) * | 2016-12-09 | 2017-05-03 | 上海理工大学 | An ultrasound and magnetic field-assisted wire cut electrical discharge machining method and device |
| CN111390306A (en) * | 2020-04-22 | 2020-07-10 | 东北林业大学 | Electric spark machining state detection method based on acoustic emission technology |
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| CN104043885B (en) | 2016-06-08 |
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