CN202029036U - Feature monitoring device used for grinding wheel dressing - Google Patents
Feature monitoring device used for grinding wheel dressing Download PDFInfo
- Publication number
- CN202029036U CN202029036U CN2011200485894U CN201120048589U CN202029036U CN 202029036 U CN202029036 U CN 202029036U CN 2011200485894 U CN2011200485894 U CN 2011200485894U CN 201120048589 U CN201120048589 U CN 201120048589U CN 202029036 U CN202029036 U CN 202029036U
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- China
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- grinding wheel
- grinding
- sensor
- acoustic emission
- emery wheel
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- Grinding-Machine Dressing And Accessory Apparatuses (AREA)
Abstract
The utility model discloses a feature monitoring device used for grinding wheel dressing, which comprises a grinding wheel and a grinding wheel dresser, wherein the side surface of a base of the grinding wheel dresser is provided with an acoustic emission sensor, a light reflection piece of a photoelectric sensor is stuck to the lower end of an outer end surface of a grinding wheel flange of the grinding wheel, and the acoustic emission sensor and the photoelectric sensor are respectively connected with data acquisition cards arranged in a computer. The utility model realizes the visual real-time monitoring of grinding wheel features in image display dressing in a grinding wheel dressing process, and the grinding quality and the grinding efficiency of workers are improved.
Description
Technical field
The utility model relates to mechanical grinding processing, particularly a kind of crushing pattern monitoring device that is used for.
Background technology
In the accurate grinding process,, often use dressing tool that abrasive grinding wheel is repaired for avoid causing the surface quality of grinding workpiece to descend behind the abrasion of grinding wheel as far as possible.And crushing process now is to be undertaken by operator's experience mostly, and experience selects the crushing surplus will be far longer than the trim amount of actual needs, thereby has reduced emery wheel service life and working (machining) efficiency.Therefore, how effectively to monitor the shape characteristic on crushing process medium plain emery wheel surface, significant to improving workpiece grinding quality and grinding efficiency.
The utility model content
The utility model purpose is to overcome the deficiency that above-mentioned existing crushing process is undertaken by operator's experience, a kind of crushing pattern monitoring device that is used for is provided, in the crushing process, its pattern is carried out visualization real-time monitoring, to improve workman's grinding quality and grinding efficiency.
Technical solution of the present utility model is as follows:
A kind of crushing pattern monitoring device that is used for, comprise the emery wheel that grinding wheel spindle drives, its characteristics are, also has single abrasive particle diamond grinding wheel dresser, a calibrate AE sensor is installed in the side of the base of this list abrasive particle diamond grinding wheel dresser, reflecting piece has been sticked in the outer face of the grinding wheel flange of described emery wheel, with respect to described reflecting piece a photoelectric sensor is set outside the outer face of the grinding wheel flange of described emery wheel, described calibrate AE sensor all is connected with computer by data collecting card with described photoelectric sensor.
Utilize the above-mentioned monitoring method that is used for crushing pattern monitoring device, its characteristics are that this method comprises the steps:
1. data acquisition: the sample frequency of setting data capture card is f
s=10MHz, the response frequency of photoelectric sensor is f
m=20kHz;
2. data filtering is handled: when grinding wheel spindle rotates, and with dresser when contactless, described calibrate AE sensor sends signal acoustic emission signal or that described data collecting card received and is considered as interfering signal, analyzes by its radio-frequency component, determines the cut-off frequency of low pass filter;
3. start the described crushing pattern monitoring device that is used for, computer is gathered the signal of described calibrate AE sensor and photoelectric sensor by data collecting card, calculate the root-mean-square value of the acoustic emission signal in each split time of described calibrate AE sensor, and image shows finishing medium plain emery wheel pattern: the energy signal of release when the high energy signals of release when the projection value part of acoustic emission signal root-mean-square value represents that the emery wheel abrasive particle contact with diamond truer, the low value part of root-mean-square value represent that grinding wheel bond contacts with diamond truer.
The maximum segment time t of described calculating acoustic emission signal root-mean-square value
e(s) be:
t
e＝L
e·S
n/πD·f
s
Wherein: S
nBe the rotate a circle number of institute's image data of emery wheel:
S
n＝D·π·f
s/1000·V
r
D: grinding wheel diameter (mm);
f
s: sound data sampling frequency (Hz);
V
r: crushing speed (m/s);
L
e: set distance (mm) between two collection points;
f
s: the sample frequency of acoustic emission signal (Hz).
Acoustic emission (AE) is that a kind of material is subjected to external force or endogenetic process and when producing distortion or fracture, and with the phenomenon that the form of elastic wave releases energy, calibrate AE sensor is acoustic emission principle and a kind of sensor of making in view of the above.
Pattern visualizing monitor method in the crushing, in with single abrasive particle diamond finishing trimming wheel process, emery wheel abrasive particle and the diamond truer extruding energy waves that discharges of breaking is higher, and that grinding wheel bond and diamond truer roll the broken energy waves that discharges is lower, the inevitable variation that also can cause the acoustic emission signal amplitude of the variation of abrupt release energy waves in this dressing process, this makes us draw out dressing process medium plain emery wheel abrasive particle distribution by the variation of acoustic emission signal.After the acoustic emission signal of gathering is carried out preliminary treatment, extract the root-mean-square value that calculates in each segmentation effective time respectively and draw out the microscopic appearance of abrasive particle and bond in the crushing process according to computer image technology.The signal of telecommunication that the photoelectric sensor that rotates each all reflecting piece same position for accurate differentiation trimming wheel sends is as the criterion, and all is from same starting point to guarantee that calibrate AE sensor is gathered emery wheel revolution data.
Technique effect of the present utility model:
Compared with prior art, the utility model has improved grinding efficiency and the grinding quality of workman in actual accurate grinding process based on abrasive particle and bond distribution pattern in the visualizing monitor crushing process of acoustic emission signal.
Description of drawings
Fig. 1 is the schematic diagram that the utility model is used for crushing pattern monitoring device.
Fig. 2 is a crushing process schematic diagram.
Fig. 3 is feature image drawing process figure in the crushing process.
Among the figure: 1-grinding wheel spindle, 2-emery wheel, 3-dresser, 4-calibrate AE sensor, 5-reflecting piece, 6-photoelectric sensor, 7-data collecting card, 8-computer, 9-emery wheel abrasive particle, 10-grinding wheel bond, 11-grinding wheel flange.
The specific embodiment
Below in conjunction with the drawings and specific embodiments the utility model is further described, but should limit protection domain of the present utility model with this.
Please consult Fig. 1 earlier, Fig. 1 is the schematic diagram that the utility model is used for crushing pattern monitoring device.As seen from the figure, the utility model is used for crushing pattern monitoring device, comprise the emery wheel 2 that grinding wheel spindle 1 drives, also has single abrasive particle diamond grinding wheel dresser 3, a calibrate AE sensor 4 is installed in the side of the base of this list abrasive particle diamond grinding wheel dresser 3, reflecting piece 5 has been sticked in the outer face of the grinding wheel flange 11 of described emery wheel 2, with respect to described reflecting piece 5 photoelectric sensor 6 is set outside the outer face of the grinding wheel flange 11 of described emery wheel 2, described calibrate AE sensor 4 all passes through data collecting card 7 with described photoelectric sensor 6 and is connected with computer 8.
Pattern visualizing monitor method comprises the steps: in the crushing
1. data acquisition: the sample frequency of setting data capture card 7 is f
s=10MHz, the response frequency of photoelectric sensor 6 is f
m=20kHz; The photoelectric sensing signal that acoustic emission signal that calibrate AE sensor 4 sends and photoelectric sensor 6 send is gathered acquisition respectively by data collecting card 7 by computer 8.
2. data filtering is handled: for removing the influence of external interference signal, the utility model uses Chebyshev II type digital filter that the data of gathering are carried out filtering and handles.Frequency range according to grinding machine AE signal under no finishing state is determined filter cutoff frequency, promptly rotate when grinding wheel spindle 1, and emery wheel 2 and trimmer 3 be when contactless, the signal that AE received is considered as interfering signal, analyze by its radio-frequency component, determine the cut-off frequency of low pass filter.
3. start the described crushing pattern monitoring device that is used for, computer 8 is gathered the interior acoustic emission signal root-mean-square value of each split time of calculated signals of described calibrate AE sensor 4 and photoelectric sensor 6 by data collecting card 7; Because the root-mean-square value of acoustic emission signal has good stable in a long time, therefore the utility model utilizes acoustic emission signal root-mean-square value size variation to react dressing process medium plain emery wheel abrasive particle and the broken energy variation that discharges of grinding wheel bond, and then can draw the wheel face pattern in the dressing process.
In order to distinguish the shape characteristic of each abrasive particle of trimming wheel, with computing time of root-mean-square value less than the time of contact between any two abrasive particles in single abrasive particle diamond pen and the emery wheel.Institute's use emery wheel is common alundum wheel in the finishing experiment, and establish: average distance is L between the emery wheel abrasive particle
e, the crushing rotating speed is V
r, then can calculate the maximum segment time t of acoustic emission signal root-mean-square value
eAs with shown in following formula (1) and the formula (2):
S
n＝D·π·f
s/1000·V
r (1)
D: grinding wheel diameter (mm);
f
s: data sampling frequency (Hz);
V
r: crushing speed (m/s);
S
n: the rotate a circle number of institute's image data of emery wheel;
t
e＝L
e·S
n/πD·f
s (2)
L
e: set distance (mm) between two collection points;
f
s: the sample frequency of acoustic emission signal (Hz);
t
e: root mean square split time (s);
The time t that the Practical Calculation root-mean-square value is got will be much smaller than aforementioned calculation maximum time t
eSee also Fig. 3, Fig. 3 is feature image drawing process figure in the crushing process, as shown in the figure, the energy signal of release when the high energy signals that the projection value part of acoustic emission signal root-mean-square value discharged when representing that the emery wheel abrasive particle contacts with dressing diamond, the low value part of root-mean-square value represent that grinding wheel bond contacts with dressing diamond.
Image shows finishing medium plain emery wheel pattern: as shown in Figure 3, the acoustic emission root-mean-square value signal that 3. above-mentioned steps is calculated demonstrates the micro Distribution pattern of emery wheel abrasive particle and bond with visual image by computer 8 software programmings.Concrete grammar is: the acoustic emission root-mean-squared of the calibrate AE sensor 4 that whenever rotates a circle according to emery wheel is set up a threshold values M, when the root-mean-square value of one section acoustic emission signal during greater than this threshold values M, pairing image is depicted as the black section, expresses the emery wheel abrasive particle; When the root-mean-square value of one section acoustic emission signal during less than this threshold values M, pairing image is depicted as the oblique line section, represents grinding wheel bond; Can depict complete wheel face abrasive particle and bond distribution pattern after the image that emery wheel is drawn weekly adds up one by one again.
In above-mentioned Acoustic emission signal processing process, for guaranteeing that calibrate AE sensor 4 is gathered emery wheel revolution signal data all is from same starting point, when the reflecting piece 5 of trimming wheel rotates to when relative with photoelectric sensor 6, this photoelectric sensor 6 just sends a light triggering signal and finishes acoustic emission signal data acquisition last week, begins next all acoustic emission signal data acquisition simultaneously.
In this device monitoring crushing process of monitoring, when not having the black section, illustrate that being trimmed emery wheel has some zone contactless with trimmer, also needs further finishing when bigger regional oblique line district occurring in the image of drawing; When black weak point in the image of drawing distributes relatively evenly in the oblique line district, illustrate that trimmer repaiied whole wheel grinding face, the black section size that can adjust simultaneously in technological parameter (as grinding wheel speed, feed speed and the finishing degree of depth etc.) the control drawing image of crushing improves grinding quality and grinding efficiency.Through experimental verification, the utility model can be realized pattern visualization real-time monitoring in the crushing process.
Claims (1)
1. one kind is used for crushing pattern monitoring device, comprise the emery wheel (2) that grinding wheel spindle (1) drives, it is characterized in that, also has single abrasive particle diamond grinding wheel dresser (3), a calibrate AE sensor (4) is installed in the side of the base of this list abrasive particle diamond grinding wheel dresser (3), reflecting piece (5) has been sticked in the outer face of the grinding wheel flange (11) of described emery wheel (2), with respect to described reflecting piece (5) photoelectric sensor (6) is set outside the outer face of the grinding wheel flange (11) of described emery wheel (2), described calibrate AE sensor (4) all passes through data collecting card (7) with described photoelectric sensor (6) and is connected with computer (8).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200485894U CN202029036U (en) | 2011-02-25 | 2011-02-25 | Feature monitoring device used for grinding wheel dressing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200485894U CN202029036U (en) | 2011-02-25 | 2011-02-25 | Feature monitoring device used for grinding wheel dressing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202029036U true CN202029036U (en) | 2011-11-09 |
Family
ID=44891347
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011200485894U Expired - Fee Related CN202029036U (en) | 2011-02-25 | 2011-02-25 | Feature monitoring device used for grinding wheel dressing |
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|---|---|
| CN (1) | CN202029036U (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102172893A (en) * | 2011-02-25 | 2011-09-07 | 上海理工大学 | Visual supervisory instrument of grinding wheel finishing topography and monitoring method thereof |
| CN102554780A (en) * | 2012-02-17 | 2012-07-11 | 上海理工大学 | Measuring device for grinding radial run-out of metal-bonded grinding wheels |
| CN103203688A (en) * | 2013-03-12 | 2013-07-17 | 苏州科技学院 | Micro-scale grinding online electrolytic dressing device and method thereof |
| CN103395001A (en) * | 2013-07-25 | 2013-11-20 | 王晋生 | System and method for diagnosing and intelligently optimizing grinding processes |
| CN103753397A (en) * | 2014-01-09 | 2014-04-30 | 河南理工大学 | Online finishing and morphology detecting device for grinding wheel for performing ultrasonic electrolytic combined grinding on inner circles |
| CN103786093A (en) * | 2014-03-05 | 2014-05-14 | 威海华东数控股份有限公司 | Graphical detection display method for real-time monitoring of grinding state |
| CN104678211A (en) * | 2014-12-30 | 2015-06-03 | 同济大学 | Real-time testing and analysis system for electrical characteristics and breakdown characteristics of thin films |
| CN106670971A (en) * | 2016-10-31 | 2017-05-17 | 哈尔滨展达机器人自动化有限责任公司 | Grinding tool correction mechanism driven by servo motor |
| CN113798929A (en) * | 2021-08-03 | 2021-12-17 | 郑州大学 | Diamond tool finishing state identification method based on acoustic emission |
-
2011
- 2011-02-25 CN CN2011200485894U patent/CN202029036U/en not_active Expired - Fee Related
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102172893B (en) * | 2011-02-25 | 2013-02-27 | 上海理工大学 | Visual supervisory instrument of grinding wheel finishing topography and monitoring method thereof |
| CN102172893A (en) * | 2011-02-25 | 2011-09-07 | 上海理工大学 | Visual supervisory instrument of grinding wheel finishing topography and monitoring method thereof |
| CN102554780A (en) * | 2012-02-17 | 2012-07-11 | 上海理工大学 | Measuring device for grinding radial run-out of metal-bonded grinding wheels |
| CN103203688B (en) * | 2013-03-12 | 2015-06-10 | 苏州科技学院 | Micro-scale grinding online electrolytic dressing device and method thereof |
| CN103203688A (en) * | 2013-03-12 | 2013-07-17 | 苏州科技学院 | Micro-scale grinding online electrolytic dressing device and method thereof |
| CN103395001B (en) * | 2013-07-25 | 2015-09-23 | 王晋生 | A kind of Grinding Process diagnosis and intelligent optimization system and method |
| CN103395001A (en) * | 2013-07-25 | 2013-11-20 | 王晋生 | System and method for diagnosing and intelligently optimizing grinding processes |
| CN103753397A (en) * | 2014-01-09 | 2014-04-30 | 河南理工大学 | Online finishing and morphology detecting device for grinding wheel for performing ultrasonic electrolytic combined grinding on inner circles |
| CN103753397B (en) * | 2014-01-09 | 2016-03-02 | 河南理工大学 | Ultrasonic electrolysis composite grinding inner circle emery wheel restoring on line and Shape measure device |
| CN103786093A (en) * | 2014-03-05 | 2014-05-14 | 威海华东数控股份有限公司 | Graphical detection display method for real-time monitoring of grinding state |
| CN104678211A (en) * | 2014-12-30 | 2015-06-03 | 同济大学 | Real-time testing and analysis system for electrical characteristics and breakdown characteristics of thin films |
| CN104678211B (en) * | 2014-12-30 | 2017-11-07 | 同济大学 | A kind of Electrical Characteristics and breakdown characteristics real time test ＆ analysis system |
| CN106670971A (en) * | 2016-10-31 | 2017-05-17 | 哈尔滨展达机器人自动化有限责任公司 | Grinding tool correction mechanism driven by servo motor |
| CN113798929A (en) * | 2021-08-03 | 2021-12-17 | 郑州大学 | Diamond tool finishing state identification method based on acoustic emission |
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Legal Events
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111109 Termination date: 20120225 |