CN109240207A - A kind of vibrocutting processing diagnostic system and method based on multisensor - Google Patents
A kind of vibrocutting processing diagnostic system and method based on multisensor Download PDFInfo
- Publication number
- CN109240207A CN109240207A CN201811307528.8A CN201811307528A CN109240207A CN 109240207 A CN109240207 A CN 109240207A CN 201811307528 A CN201811307528 A CN 201811307528A CN 109240207 A CN109240207 A CN 109240207A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- cutting
- vibrocutting
- multisensor
- 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/35—Nc in input of data, input till input file format
- G05B2219/35026—Design of machine tool, of cnc machine
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Automatic Control Of Machine Tools (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention belongs to vibratory Cutting Technology fields, a kind of vibrocutting processing diagnostic system and method based on multisensor is disclosed, the vibrocutting processing diagnostic system based on multisensor includes: power supply module, noise detection module, cutting force measurement module, operation module, main control module, machined parameters setting module, data judgment module, data de-noising module, ultrasonic module, cutting module, display module.The present invention is able to reflect the characteristic of the processing effects such as processing quality and processing efficiency of workpiece by data judgment module using performance parameters such as automatically controlled data, it is whether reasonable that corresponding Cutting data is determined according to performance parameter, and thus by the storage of reasonable Cutting data into Database in Cutting Database.Meanwhile can theoretically be guaranteed by data de-noising module 100% denoising rate；The real-time de-noising of knife rail data is realized in pretreatment by software to numerical control cutting process knife rail data, improves work pieces process efficiency.
Description
Technical field
The invention belongs to vibratory Cutting Technology fields more particularly to a kind of vibrocutting based on multisensor to process diagnosis
System and method.
Background technique
Vibrocutting is a kind of novel unconventional special cutting processing method, it is to cutter (or workpiece) with appropriate
Direction, certain frequency and amplitude vibration, with improve its cut effect pulse cutting method.Vibrocutting is to pass through
Apply certain regular, controllable vibration on cutting tool, make the change of cutting speed, back engagement of the cutting edge generating period,
Method to obtain special cutting effect.Vibrocutting changes the space between tool and machined material and deposits with the time
In condition, to change processing (cutting) mechanism, reaches and reduce cutting force, cutting heat, improve the mesh of processing quality and efficiency
's.Vibrocutting can be divided into high-frequency vibration and low-frequency vibration by added frequency difference, and low-frequency vibration only changes chip from amount
Formation condition, be mainly used to solve the problems, such as chip breaking and a series of problems related to this.And ultrasonic vibration (high-frequency vibration)
Cutting has made chip formation mechenism generate great change, and the machinability of machined material can be improved, and improves cutter life
And workpiece processing quality.Disengaging movement of the technological effect of Ultrasonic machining between cutter and workpiece, i.e., it is a kind of pulse
The interrupted cut process of formula.So as one of Precision Machining and difficult-to-machine material processing new technology, its cutting effect
It has obtained the consistent of countries in the world to generally acknowledge, it is believed that it is a leap of conventional machining techniques.However, existing Database in Cutting Database
Height relies on manual intervention, although artificial intelligence approach has obtained preliminary reference in Database in Cutting Database at this stage, current
Intelligence degree is not high, and there is still a need for a large amount of manual decisions in actual processing；Meanwhile, processing low to scalpel rail denoising rate
Low efficiency.
In conclusion problem of the existing technology is:
Existing Database in Cutting Database height relies on manual intervention, although artificial intelligence approach obtains in Database in Cutting Database at this stage
Preliminary reference is arrived, but current intelligence degree is not high, there is still a need for a large amount of manual decisions in actual processing；Meanwhile it is right
Scalpel rail denoising rate is low, and processing efficiency is low.
In the prior art, sound transducer itself does not have rectification building-out function, can not accurately measure noise data, easily
Cause the control and display error of noise data；In the prior art, it cannot be guaranteed that ultrasonic transducer can obtain stable voltage, meets
To the unstable situation of voltage, the electric signal of input stable and accurate cannot be converted into mechanical oscillation, cause system delays in work；
In the prior art, display cannot effectively improve the accuracy that data information is shown, reduce rate of reading, influence working efficiency,
Reduce economic benefit.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of, and diagnosis is processed in the vibrocutting based on multisensor
System and method.
The invention is realized in this way diagnostic method is processed in a kind of vibrocutting based on multisensor, described in be based on
Diagnostic method is processed in the vibrocutting of multisensor
Step 1 is powered the vibrocutting processing diagnostic system based on multisensor；Using with GM (1, N) mould
The noise data that the sound transducer detection cutting process of type generates；
Step 2, using measuring appliance according to amplitude, vibration frequency, the amount of feeding, cutting speed measurement cutting force data；It utilizes
Operation button carries out control operation to cutting apparatus；
Step 3 sets vibrocutting machined parameters；Correspondence is determined according to performance parameter using determining program
Cutting data it is whether reasonable；Denoising using denoising program to numerical control cutting process knife rail data；
Step 4, using the output frequency of supersonic signal generator after power amplifier amplifies, send to it is interior set it is miniature steady
The electric signal of input is converted into mechanical oscillation by the ultrasonic transducer of depressor, ultrasonic transducer, and excitation cutter is generated perpendicular to cutting
Cut the lateral ultrasonic vibration in direction；
Step 5 carries out workpiece to cut operation using blade is cut；Change using with cross hairs gray level image clarity
The display of progressive die type to the noise data of detection, cut force data, parameter settings data information is shown.
Further, the step 1 uses making an uproar for the sound transducer detection cutting process generation with GM (1, N) model
Sound data take GM (1, N) model to carry out modeling processing to sound transducer, realize the rectification building-out of sound transducer, sensing
Grey GM (1, the N) model and corresponding albefaction equation of device are as follows:
Wherein, k=1,2,3 ..., n, a are the development coefficient of model, and b is grey actuating quantity, express the variation feelings between data
Condition.
Further, the electric signal of input is converted into machine by the ultrasonic transducer for micro voltage stabilizing device being set in the step 4 utilization
Tool vibrates, two amplifiers in voltage-stablizer, is all made of negative-feedback circuit, and the output of bandgap voltage reference circuit is by output amplification
Device follows structure directly to export, stabilizer output voltage VOUT and shifted by delta VOUT:
Wherein R2/R3 is the resistance ratio in bandgap voltage reference circuit, VEB1And VEB2For the transmitting of NPN triode Q1 and Q2
Pole-base voltage, Δ VIN1|diffWith Δ VIN2|diffThe respectively output voltage offset of two stage amplifer.
Further, utilize the display with cross hairs gray level image clarity improved model to detection in the step 5
Noise data, cut force data, parameter settings data information is shown；By gray level image cross hairs region clarity model
Algorithm improves, and the display of display screen is made of m × n pixel, grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,
0≤J≤n-1；
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, B is used in the 1/2 of gray scale difference valuedifIt indicates:
According to cross hairs gray level image sharpness computation theoretical model, if the clarity of gray level image is C, obtained cross
Line gray level image clarity improved model are as follows:
Another object of the present invention is to provide the vibrocuttings described in a kind of realize based on multisensor to process diagnosis side
Diagnostic system is processed in the vibrocutting based on multisensor of method, and diagnostic system is processed in the vibrocutting based on multisensor
Include:
Power supply module is connect with main control module, is carried out for processing diagnostic system for the vibrocutting based on multisensor
Power supply；
Noise detection module is connect with main control module, for detecting the noise that cutting process generates by sound transducer
Data；
Cutting force measurement module, connect with main control module, for by measuring appliance according to amplitude, vibration frequency, the amount of feeding,
Cutting speed measurement cutting force data；
Operation module is connect with main control module, for carrying out control operation to cutting apparatus by operation button；
Main control module is set with power supply module, noise detection module, cutting force measurement module, operation module, machined parameters
Module, data judgment module, data de-noising module, ultrasonic module, cutting module, display module connection, for passing through single-chip microcontroller
Modules are controlled to work normally；
Machined parameters setting module, connect with main control module, for setting vibrocutting machined parameters；
Data judgment module, connect with main control module, corresponding for being determined by determining program according to performance parameter
Whether Cutting data is reasonable；
Data de-noising module, connect with main control module, for by denoising program to numerical control cutting process knife rail data
Denoising；
Ultrasonic module is connect with main control module, for the output frequency by supersonic signal generator through power amplifier
It is sent after amplification to ultrasonic transducer, the electric signal of input is converted into mechanical oscillation by ultrasonic transducer, and excitation cutter generates vertical
In the lateral ultrasonic vibration of cutting direction；
Module is cut, is connect with main control module, for carrying out cutting operation to workpiece by cutting blade；
Display module is connect with main control module, for by display display detection noise data, cut force data,
Parameter settings data information.
Another object of the present invention is to provide the vibrocuttings described in a kind of application based on multisensor to process diagnosis side
The information data processing terminal of method.
Advantages of the present invention and good effect are as follows:
The present invention by data judgment module using the performance parameters such as automatically controlled data be able to reflect the processing quality of workpiece with
Whether reasonable the characteristic of the processing effects such as processing efficiency determines corresponding Cutting data according to performance parameter, and thus will close
The Cutting data of reason is stored into Database in Cutting Database.For example, what the present invention learnt to be formed in cutting process by machine learning
Mass data meets the Cutting data of predetermined condition to obtain processing effect based on this to form Database in Cutting Database.As a result,
Solve intelligence degree present in existing Database in Cutting Database technology it is low, excessively rely on manual decision, practical life cannot be covered
In production the problems such as ever-changing process requirements；Meanwhile can theoretically be guaranteed by data de-noising module 100% denoising
Rate；While satisfaction denoising requires, the quality risk of work pieces process is reduced, the generation of substandard products is reduced；Software logarithm can be passed through
The pretreatment of cutting process knife rail data is controlled, realizes the real-time de-noising of knife rail data, improves work pieces process efficiency.
Of the invention takes GM (1, N) model to carry out modeling processing to sound transducer, realizes the correction of sound transducer
Compensation, is conducive to accurately measure noise data, so that noise data is precisely controlled and is shown；It is set in present invention utilization micro-
The electric signal of input is converted into mechanical oscillation by the ultrasonic transducer of type voltage-stablizer, guarantees that ultrasonic transducer can obtain stable electricity
Pressure, effectively avoids the influence of voltage, so that the electric signal of input is stable and accurate to be converted into mechanical oscillation, system works accurate
Operation；The present invention utilizes the display with cross hairs gray level image clarity improved model to the noise data of detection, cuts
Force data, parameter settings data information are shown；The accuracy that data information is shown is effectively improved, rate of reading is improved, mentions
High working efficiency.
Detailed description of the invention
Fig. 1 is the vibrocutting processing diagnostic method flow chart provided in an embodiment of the present invention based on multisensor.
Fig. 2 is the vibrocutting processing diagnostic system structural schematic diagram provided in an embodiment of the present invention based on multisensor；
In figure: 1, power supply module；2, noise detection module；3, cutting force measurement module；4, operation module；5, master control mould
Block；6, machined parameters setting module；7, data judgment module；8, data de-noising module；9, ultrasonic module；10, module is cut；
11, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, it is provided by the invention based on multisensor vibrocutting processing diagnostic method the following steps are included:
S101: the vibrocutting processing diagnostic system based on multisensor is powered；Using with GM (1, N) model
Sound transducer detection cutting process generate noise data；
S102: using measuring appliance according to amplitude, vibration frequency, the amount of feeding, cutting speed measurement cutting force data；Utilize behaviour
Make key and control operation is carried out to cutting apparatus；
S103: vibrocutting machined parameters are set；It is determined using determining program according to performance parameter corresponding
Whether Cutting data is reasonable；Denoising using denoising program to numerical control cutting process knife rail data；
S104: it using the output frequency of supersonic signal generator after power amplifier amplifies, send to interior and sets micro voltage stabilizing
The electric signal of input is converted into mechanical oscillation by the ultrasonic transducer of device, ultrasonic transducer, and excitation cutter is generated perpendicular to cutting
The lateral ultrasonic vibration in direction；
S105: workpiece is carried out to cut operation using blade is cut；It is improved using with cross hairs gray level image clarity
The display of model to the noise data of detection, cut force data, parameter settings data information is shown.
It is provided in an embodiment of the present invention that cutting is detected using the sound transducer with GM (1, N) model in step S101
The noise data that process generates, takes GM (1, N) model to carry out modeling processing to sound transducer, realizes the school of sound transducer
Positive compensation, is conducive to accurately measure noise data, so that noise data is precisely controlled and is shown, the grey GM of sensor
(1, N) model and corresponding albefaction equation are as follows:
Wherein, k=1,2,3 ..., n, a are the development coefficient of model, and b is grey actuating quantity, express the variation feelings between data
Condition.
In step S104, electricity of the ultrasonic transducer by input of micro voltage stabilizing device is set in utilization provided in an embodiment of the present invention
Signal is converted into mechanical oscillation, guarantees that ultrasonic transducer can obtain stable voltage, effectively avoids the influence of voltage, so that input
Electric signal it is stable and accurate be converted into mechanical oscillation, the accurate operation of system work；Two amplifiers in voltage-stablizer, are all made of negative
Feed circuit, and the output of bandgap voltage reference circuit follows structure directly to export by output amplifier, therefore voltage-stablizer
Output voltage VO UT and shifted by delta VOUT can be as follows:
Wherein R2/R3 is the resistance ratio in bandgap voltage reference circuit, VEB1And VEB2For the transmitting of NPN triode Q1 and Q2
Pole-base voltage, Δ VIN1|diffWith Δ VIN2|diffThe respectively output voltage offset of two stage amplifer.
It is provided in an embodiment of the present invention using aobvious with cross hairs gray level image clarity improved model in step S105
Show device to the noise data of detection, cut force data, parameter settings data information is shown；Data information is effectively improved to show
Accuracy, improve rate of reading, improve working efficiency；
It is improved by gray level image cross hairs region clarity model algorithm, the display of display screen is by m × n pixel structure
At grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,0≤J≤n-1；
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, then the 1/2 of gray scale difference value uses BdifIt can table
Show and be shown below:
According to cross hairs gray level image sharpness computation theoretical model, if the clarity of gray level image is C, obtained cross
Line gray level image clarity improved model are as follows:
As shown in Fig. 2, the vibrocutting processing diagnostic system provided by the invention based on multisensor includes: power supply module
1, noise detection module 2, cutting force measurement module 3, operation module 4, main control module 5, machined parameters setting module 6, data are sentenced
Disconnected module 7, data de-noising module 8, ultrasonic module 9, cutting module 10, display module 11.
Power supply module 1 is connect with main control module 5, for for based on multisensor vibrocutting process diagnostic system into
Row power supply；
Noise detection module 2 is connect with main control module 5, for detecting making an uproar for cutting process generation by sound transducer
Sound data；
Cutting force measurement module 3 is connect with main control module 5, for passing through measuring appliance according to amplitude, vibration frequency, feeding
Amount, cutting speed measurement cutting force data；
Operation module 4 is connect with main control module 5, for carrying out control operation to cutting apparatus by operation button；
Main control module 5 is joined with power supply module 1, noise detection module 2, cutting force measurement module 3, operation module 4, processing
Number setting module 6, data judgment module 7, data de-noising module 8, ultrasonic module 9, cutting module 10, display module 11 connect,
It is worked normally for controlling modules by single-chip microcontroller；
Machined parameters setting module 6 is connect with main control module 5, for setting vibrocutting machined parameters；
Data judgment module 7 is connect with main control module 5, for determining correspondence according to performance parameter by determining program
Cutting data it is whether reasonable；
Data de-noising module 8 is connect with main control module 5, for by denoising program to numerical control cutting process knife rail data
Denoising；
Ultrasonic module 9 is connect with main control module 5, for the output frequency by supersonic signal generator through power amplification
It is sent after device amplification to ultrasonic transducer, the electric signal of input is converted into mechanical oscillation by ultrasonic transducer, and excitation cutter, which generates, to hang down
Directly in the lateral ultrasonic vibration of cutting direction；
Module 10 is cut, is connect with main control module 5, for carrying out cutting operation to workpiece by cutting blade；
Display module 11 is connect with main control module 5, for showing the noise data of detection by display, cutting power number
According to, parameter settings data information.
7 judgment method of data judgment module provided by the invention is as follows:
(1) data set related with the processing of numerical control device is obtained, wherein the data set includes Cutting data and correspondence
Performance parameter；
(2) determine whether the processing effect of the Cutting data meets predetermined condition according to performance parameter；And (3) if
The processing effect of the Cutting data meets predetermined condition, then by Cutting data storage into Database in Cutting Database.
It is provided by the invention to determine whether the processing effect of the Cutting data meets predetermined condition packet according to performance parameter
It includes:
The data set is input in machine learning model, wherein the machine learning model is trained to: according to property
Can parameter judge whether the processing effect of Cutting data meets predetermined condition；And
Determine whether the processing effect of the Cutting data meets predetermined condition according to the output of the machine learning model；
To the training dataset of machine learning model input predetermined quantity, so that machine learning model learning performance parameter
Relationship between processing effect, each training dataset include the related Cutting data of predetermined processing with numerical control device,
Performance parameter and corresponding processing effect；
Other Database in Cutting Database train the machine learning model based on one or more.
It is provided by the invention to determine whether the processing effect of the Cutting data meets predetermined condition packet according to performance parameter
It includes:
Judge whether performance parameter is within the scope of predetermined value, wherein performance parameter is within the scope of predetermined value
Indicate that the processing effect of the Cutting data meets predetermined condition；
Determine whether the processing effect of the Cutting data meets predetermined condition according to judging result.
8 denoising method of data de-noising module provided by the invention is as follows:
In numerical control processing cutting process, using workpiece surface as machining benchmark plane, i.e., (X, Y, 0) reference coordinate is flat
Face；Acquisition numerical control cutting cutter moves in process forms knife rail data；A kind of finite-state automata of cutter is constructed,
The idle running of corresponding cutter, empty shifting cut process, cutting, cutter lifting process and abnormal six states:
1) dally: Z is constant, and (X, Y) is constant；
2) empty to move: Z is constant, (X, Y) variation；
3) cut process: Z becomes smaller, and (X, Y) is constant；
4) cut: Z is basically unchanged, (X, Y) variation；
5) cutter lifting process: Z becomes larger, and (X, Y) is constant；
6) abnormal: other states apart from the above；
In six states, wherein the sampled data of bite rail is the valid data that actual cut workpiece generates, and
Idle running knife rail, it is empty move knife rail, cut process knife rail, cutter lifting process knife rail is invalid noise data, removed.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. diagnostic method is processed in a kind of vibrocutting based on multisensor, which is characterized in that the vibration based on multisensor
Moving machining diagnostic method includes:
Step 1 is powered the vibrocutting processing diagnostic system based on multisensor；Using with GM (1, N) model
Sound transducer detects the noise data that cutting process generates；
Step 2, using measuring appliance according to amplitude, vibration frequency, the amount of feeding, cutting speed measurement cutting force data；Utilize operation
Key carries out control operation to cutting apparatus；
Step 3 sets vibrocutting machined parameters；Corresponding cut is determined according to performance parameter using determining program
Whether reasonable cut data；Denoising using denoising program to numerical control cutting process knife rail data；
Step 4 is sent to interior using the output frequency of supersonic signal generator after power amplifier amplifies and sets micro voltage stabilizing device
Ultrasonic transducer, the electric signal of input is converted into mechanical oscillation by ultrasonic transducer, and excitation cutter is generated perpendicular to cutting side
To lateral ultrasonic vibration；
Step 5 carries out workpiece to cut operation using blade is cut；Mould is improved using with cross hairs gray level image clarity
The display of type to the noise data of detection, cut force data, parameter settings data information is shown.
2. diagnostic method is processed in the vibrocutting based on multisensor as described in claim 1, which is characterized in that the step
One noise data generated using the sound transducer detection cutting process with GM (1, N) model, takes GM (1, N) model pair
Sound transducer carries out modeling processing, realizes the rectification building-out of sound transducer, grey GM (1, the N) model and correspondence of sensor
Albefaction equation are as follows:
Wherein, k=1,2,3 ..., n, a are the development coefficient of model, and b is grey actuating quantity, express the situation of change between data.
3. diagnostic method is processed in the vibrocutting based on multisensor as described in claim 1, which is characterized in that the step
The electric signal of input is converted into mechanical oscillation, two fortune in voltage-stablizer by the ultrasonic transducer that micro voltage stabilizing device is set in four utilizations
It puts, is all made of negative-feedback circuit, and the output of bandgap voltage reference circuit follows structure directly to export by output amplifier,
Stabilizer output voltage VOUT and shifted by delta VOUT:
Wherein R2/R3 is the resistance ratio in bandgap voltage reference circuit, VEB1And VEB2For the emitter-of NPN triode Q1 and Q2
Base voltage, Δ VIN1|diffWith Δ VIN2|diffThe respectively output voltage offset of two stage amplifer.
4. diagnostic method is processed in the vibrocutting based on multisensor as described in claim 1, which is characterized in that the step
In five using the display with cross hairs gray level image clarity improved model to the noise data of detection, cut force data,
Parameter settings data information is shown；It is improved by gray level image cross hairs region clarity model algorithm, display screen
Display is made of m × n pixel, grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,0≤J≤n-1；
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, B is used in the 1/2 of gray scale difference valuedifIt indicates:
According to cross hairs gray level image sharpness computation theoretical model, if the clarity of gray level image is C, obtained cross hairs is grey
Spend image definition improved model are as follows:
5. it is a kind of realize the processing diagnostic method of the vibrocutting described in claim 1 based on multisensor based on multisensor
Diagnostic system is processed in vibrocutting, which is characterized in that the vibrocutting based on multisensor processes diagnostic system and includes:
Power supply module is connect with main control module, is powered for processing diagnostic system for the vibrocutting based on multisensor；
Noise detection module is connect with main control module, for detecting the noise data that cutting process generates by sound transducer；
Cutting force measurement module, connect with main control module, for passing through measuring appliance according to amplitude, vibration frequency, the amount of feeding, cutting
Force data is cut in tachometric survey；
Operation module is connect with main control module, for carrying out control operation to cutting apparatus by operation button；
Main control module sets mould with power supply module, noise detection module, cutting force measurement module, operation module, machined parameters
Block, data judgment module, data de-noising module, ultrasonic module, cutting module, display module connection, for passing through single-chip microcontroller control
Modules processed work normally；
Machined parameters setting module, connect with main control module, for setting vibrocutting machined parameters；
Data judgment module, connect with main control module, for determining corresponding cutting according to performance parameter by determining program
Whether data are reasonable；
Data de-noising module, connect with main control module, for the denoising by denoising program to numerical control cutting process knife rail data
Processing；
Ultrasonic module is connect with main control module, for being amplified by the output frequency of supersonic signal generator through power amplifier
After send to ultrasonic transducer, the electric signal of input is converted into mechanical oscillation by ultrasonic transducer, and excitation cutter is generated perpendicular to cutting
Cut the lateral ultrasonic vibration in direction；
Module is cut, is connect with main control module, for carrying out cutting operation to workpiece by cutting blade；
Display module is connect with main control module, for showing the noise data of detection by display, cutting force data, parameter
Set data information.
6. a kind of letter using the vibrocutting processing diagnostic method described in Claims 1 to 4 any one based on multisensor
Cease data processing terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811307528.8A CN109240207B (en) | 2018-11-05 | 2018-11-05 | Vibration cutting processing diagnosis system and method based on multiple sensors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811307528.8A CN109240207B (en) | 2018-11-05 | 2018-11-05 | Vibration cutting processing diagnosis system and method based on multiple sensors |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109240207A true CN109240207A (en) | 2019-01-18 |
| CN109240207B CN109240207B (en) | 2021-05-14 |
Family
ID=65076594
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811307528.8A Expired - Fee Related CN109240207B (en) | 2018-11-05 | 2018-11-05 | Vibration cutting processing diagnosis system and method based on multiple sensors |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109240207B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110888400A (en) * | 2019-10-30 | 2020-03-17 | 宁波兰羚钢铁实业有限公司 | Electrical automatic control system and method for intelligent slitting machine |
| CN112958840A (en) * | 2021-02-10 | 2021-06-15 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Automatic segmentation method for cutting force signal in precision part machining |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102901686A (en) * | 2012-10-10 | 2013-01-30 | 广东奔朗新材料股份有限公司 | Testing device of grinding wheel and operation method of testing device |
| CN103419076A (en) * | 2012-05-17 | 2013-12-04 | 大隈株式会社 | Machining vibration suppressing method and machining vibration suppressing apparatus for machine tool |
| CN103753357A (en) * | 2014-01-23 | 2014-04-30 | 南京理工大学 | Method for predicting axial direction cutting force of supersonic vibration auxiliary grinding for fragile materials |
| WO2014162866A1 (en) * | 2013-04-02 | 2014-10-09 | 株式会社 アマダ | Cutting machine, cutting method, and chute |
| CN105278452A (en) * | 2015-10-16 | 2016-01-27 | 厦门金鹭特种合金有限公司 | Active noise reduction method applied to metal cutting numerical control machining center |
| CN106568500A (en) * | 2016-10-12 | 2017-04-19 | 上海大学 | Processing abnormality alarm system based on processing noise |
| CN108052074A (en) * | 2017-12-15 | 2018-05-18 | 北京航空航天大学 | A kind of high-speed separation ultrasonic vibration cutting control method |
-
2018
- 2018-11-05 CN CN201811307528.8A patent/CN109240207B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103419076A (en) * | 2012-05-17 | 2013-12-04 | 大隈株式会社 | Machining vibration suppressing method and machining vibration suppressing apparatus for machine tool |
| CN102901686A (en) * | 2012-10-10 | 2013-01-30 | 广东奔朗新材料股份有限公司 | Testing device of grinding wheel and operation method of testing device |
| WO2014162866A1 (en) * | 2013-04-02 | 2014-10-09 | 株式会社 アマダ | Cutting machine, cutting method, and chute |
| CN103753357A (en) * | 2014-01-23 | 2014-04-30 | 南京理工大学 | Method for predicting axial direction cutting force of supersonic vibration auxiliary grinding for fragile materials |
| CN105278452A (en) * | 2015-10-16 | 2016-01-27 | 厦门金鹭特种合金有限公司 | Active noise reduction method applied to metal cutting numerical control machining center |
| CN106568500A (en) * | 2016-10-12 | 2017-04-19 | 上海大学 | Processing abnormality alarm system based on processing noise |
| CN108052074A (en) * | 2017-12-15 | 2018-05-18 | 北京航空航天大学 | A kind of high-speed separation ultrasonic vibration cutting control method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110888400A (en) * | 2019-10-30 | 2020-03-17 | 宁波兰羚钢铁实业有限公司 | Electrical automatic control system and method for intelligent slitting machine |
| CN112958840A (en) * | 2021-02-10 | 2021-06-15 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Automatic segmentation method for cutting force signal in precision part machining |
| CN112958840B (en) * | 2021-02-10 | 2022-06-14 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Automatic segmentation method for cutting force signal in precision part machining |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109240207B (en) | 2021-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102929210B (en) | Control and optimization system for feature-based numerical control machining process and control and optimization method therefor | |
| CN105956235B (en) | Ultrasonic machining special type knife optimum design method based on SVR-PSO | |
| CN104722866B (en) | A kind of real-time optimal-search control system of ULTRASONIC COMPLEX EDM Technology and its control method | |
| CN108942409A (en) | The modeling and monitoring method of tool abrasion based on residual error convolutional neural networks | |
| CN110661449B (en) | Hysteresis error compensation control system and control method of vibration-assisted cutting device | |
| JP2018094686A (en) | Machine learning device, cnc device and machine learning method detecting sign of occurrence of chattering of tool in machine tool | |
| CN109240207A (en) | A kind of vibrocutting processing diagnostic system and method based on multisensor | |
| CN106002489A (en) | Automatic compensation device and method for eliminating cutting chatter of numerical control machine tool | |
| CN104794492B (en) | Machine tool processing running status ONLINE RECOGNITION method based on power features model | |
| CN103192292B (en) | Numerical control machine error identification and separation method based on processing workpiece curved surface morphology information | |
| CN110488754A (en) | A kind of lathe self-adaptation control method based on GA-BP neural network algorithm | |
| CN101670553A (en) | External grinding multiparameter integrated quality monitoring device and method | |
| CN110605709A (en) | Digital twin and precise filtering driving robot integration system and use method thereof | |
| CN109462356A (en) | A kind of MFA control method of servo system for linear motor | |
| CN103034127A (en) | Axial magnetic bearing control system | |
| CN103713618A (en) | Cigarette making machine expert control system for quality improvement and consumption reduction | |
| CN106909125A (en) | A kind of monitoring system and method for motor processability index | |
| CN103939485A (en) | Magnetic suspension bearing digital controller with displacement sensor automatic calibration function | |
| CN111006728B (en) | Flow rate controller converter and control method thereof | |
| CN107678276A (en) | A kind of adaptive composite control method based on turning table control | |
| Gao et al. | Model-free adaptive MIMO control algorithm application in polishing robot | |
| US20220193852A1 (en) | Monitoring method and system for machine tool | |
| CN110744153B (en) | Micro electrochemical machining fuzzy control method based on short-circuit time | |
| CN110744152B (en) | Micro electrochemical machining fuzzy on-line control system based on short-circuit time | |
| CN209514009U (en) | A kind of linear motor characteristic test device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | 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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210514 Termination date: 20211105 |