CN105573250B - It is machined online quality management-control method and system and machining tool - Google Patents
It is machined online quality management-control method and system and machining tool Download PDFInfo
- Publication number
- CN105573250B CN105573250B CN201610029372.6A CN201610029372A CN105573250B CN 105573250 B CN105573250 B CN 105573250B CN 201610029372 A CN201610029372 A CN 201610029372A CN 105573250 B CN105573250 B CN 105573250B
- Authority
- CN
- China
- Prior art keywords
- spindle motor
- power
- real
- physical amount
- time physical
- 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.)
- Active
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
- G05B19/4063—Monitoring general control system
-
- 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
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31076—Controller for cell, for robot motion, for supervision
Abstract
The present invention discloses a kind of online quality management-control method of mechanical processing, includes the following steps：Acquire the real-time physical amount in machining tool process；By real-time physical amount compared with preset range, if real-time physical amount exceeds the boundary of preset range, judge that quality abnormal occurs in workpiece to be machined, and controls machining tool and execute the first operation；Wherein, the first operation be hard stop, executed current process after shut down or continue to process and alarm.The above-mentioned online quality management-control method of mechanical processing can find the quality problem in process in time, realize the quality management and control in production process, prevent product to be processed from batch occurs bad.Invention additionally discloses a kind of online quality managing and control system of mechanical processing and machining tools.
Description
Technical field
The present invention relates to mechanical processing monitoring technology field more particularly to a kind of online quality management-control method of mechanical processing and
System and machining tool.
Background technology
In mechanical processing, the quality of workpiece includes dimensional accuracy, geometric tolerance and surface quality etc..Due to processing environment
Limitation and efficiency requirement, previous quality restriction all carries out after processing, and belongs to batch and examine.If workpiece goes out
Now batch is bad, also can only do over again or scrap in batches, may cause greatly to waste.
It causes the undesirable factor of workpiece quality very much, includes the state of lathe, workpiece material, technological parameter and machining tool
Deng the variation of one factor of any of which may all lead to quality problem.Pass through quality restriction result after processing, it is also difficult to judge
The reason that quality is bad is caused, can not make and timely adjust.
Invention content
Based on this, it is necessary to which provide a kind of can judge the online quality management and control of the mechanical processing of processing quality exception in time
Method and system and machining tool.
A kind of online quality management-control method of mechanical processing, includes the following steps：
Acquire the real-time physical amount in machining tool process；
By the real-time physical amount compared with preset range, if the real-time physical amount exceeds the side of the preset range
Boundary then judges that quality abnormal occurs in workpiece to be machined, and controls the machining tool and execute the first operation；
Wherein, first operation be hard stop, executed current process after shut down or continue to process and alarm；
The real-time physical amount is spindle motor power, spindle motor torque, the electric current of spindle motor, cutting force, cutting
The vibration in region, the sound of cutting zone or cutting zone temperature.
The real-time physical amount is spindle motor power in one of the embodiments,；The boundary of the preset range is logical
It crosses and the power data of spindle motor in multiple qualified process is calculated using boundary Control method.
The boundary Control method includes mean value method in one of the embodiments,；The boundary of the predetermined power range
The method for using mean value method to be calculated by the power data to spindle motor in multiple qualified process for：
Obtain N1The power data of spindle motor in a qualified process；It is described qualification process number be
N1, each the number of the power data of spindle motor is M in the qualified process；
For N1N in a qualified process corresponding to the same position of the power data of spindle motor1A power
Data calculate the N1The average value of a power data
Pass through formulaCalculate the corresponding magnitude of power in boundary of the predetermined power range；
Wherein, N1For the integer more than or equal to 2, M is the integer more than or equal to 2, and i is more than or equal to 1 and to be less than or equal to M
Integer；A is the first predetermined coefficient, and a>0.
The boundary Control method includes standard deviation method in one of the embodiments,；The boundary of the predetermined power range
By the power data to spindle motor in multiple qualified process use the method that standard deviation method is calculated for：
Obtain N2The power data of spindle motor in a qualified process；It is described qualification process number be
N2, each the number of the power data of spindle motor is M in the qualified process；
For N2N in a qualified process corresponding to the same position of the power data of spindle motor2A power
Data calculate the N2The average value P of a power dataiAnd standard deviation sigma；
Pass through formulaCalculate the corresponding magnitude of power in boundary of the predetermined power range；
Wherein, N2For the integer more than or equal to 3, M is the integer more than or equal to 2, and i is more than or equal to 1 and to be less than or equal to M
Integer；S is the second predetermined coefficient.
The value range of the second predetermined coefficient s is 3 to 5 in one of the embodiments,.
The method further includes in one of the embodiments,：
The real-time physical amount is stored, and shows the real-time physical amount and the preset range.
A kind of online quality managing and control system of mechanical processing, including data acquisition device, data processing equipment and signal output
Device；
The data acquisition device is used to acquire the real-time physical amount in machining tool process, and is converted into the number
According to the identifiable signal mode of processing unit, it is sent to data processing equipment；
The data processing equipment is used for by the real-time physical amount compared with preset range, super in the real-time physical amount
When going out the boundary of the preset range, trigger signal is generated, and the trigger signal is sent to through the signal output apparatus
The control system of the machining tool；
The control system of the machining tool controls the machining tool and executes the first operation；
Wherein, first operation be hard stop, executed current process after shut down or continue to process and alarm；
The real-time physical amount is spindle motor power, spindle motor torque, the electric current of spindle motor, cutting force, cutting
The vibration in region, the sound of cutting zone or cutting zone temperature.
Further include display storage device in one of the embodiments,；The display storage device and the data processing
Device connects；
The display storage device shows the real-time physical amount and described default for storing the real-time physical amount
Range.
A kind of machining tool, including the online quality managing and control system of mechanical processing described in any one of the above.
The online quality management-control method of above-mentioned mechanical processing and system and machining tool, during machine tooling, acquisition
Real-time physical amount in machining tool process, by real-time physical amount compared with preset range, if real-time physical amount is beyond pre-
If the boundary of range, then judge that quality abnormal occurs in workpiece to be machined, and controls machining tool and execute the first operation.It being capable of root
Judge whether there is quality abnormal in current process according to the real-time physical amount of machining tool, it is processed so as to find in time
Quality problem in journey realizes the quality management and control of production process, prevents product to be processed from batch occurs bad.
Description of the drawings
Fig. 1 is the flow diagram that the present invention is machined online quality management-control method one embodiment；
Fig. 2 is default using mean value method calculating in the online quality management-control method one embodiment of present invention mechanical processing
The flow diagram of power bracket；
Fig. 3 is that the use standard deviation method calculating that the present invention is machined in online quality management-control method one embodiment is default
The flow diagram of power bracket；
Fig. 4 is the curve that the power data of spindle motor in multiple qualified process is formed；
Fig. 5 is the structural schematic diagram that the present invention is machined online quality managing and control system one embodiment.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, below in conjunction with attached drawing to machinery of the invention
It processes online quality management and control and system and the specific implementation mode of machining tool illustrates.It should be appreciated that described herein
Specific embodiment be only used to explain the present invention, be not intended to limit the present invention.
Can include commonly that cutting force, spindle motor are turned round there are many kinds of the physical quantitys of reacting processing machine tooling process
Square, spindle motor power, the current of spindle motor, the vibration of cutting zone, the sound of cutting zone and cutting zone temperature etc.
Physical quantity.The corresponding sensor of these physical quantitys be followed successively by force snesor, torque sensor, power sensor, current sensor,
Vibrating sensor, acoustic emission sensor and temperature sensor.Due to the signal characteristic of each sensor, mounting means and cost
Difference can be monitored so in different processed and applied occasions using the mode of different sensor or Multi-sensor fusion
Process.No matter using which kind of or which kind sensor, be required for determining each sensor is corresponding being capable of reacting processing mistake
The characteristic value of Cheng Bianhua.Characteristic value includes original signal；The system in various time domains that sample data based on original signal calculates
Count signal, such as average value, peak value, root-mean-square value；All kinds of frequency domains that original signal obtained after Mathematical treatment transformation
Signal, such as power spectrum, amplitude spectrum and phase spectrum.In process, lathe, technological parameter, machining tool and workpiece material
Each small variation, can all cause process generate variation, can correspondingly reacting processing process these physical quantitys
Also it can change.But which kind of characteristic value of which kind of specifically used sensor characterizes the variation of process to be reacted, needs
It is determined according to the variation relation between specific signal characteristic and the physical phenomenon to be monitored.
After the characteristic value that determination to be monitored, so that it may to use this feature value as the basic number for realizing intelligence manufacture
According to, and process is diagnosed, manages and controlled based on the detailed analysis to the data, the final purpose for realizing intelligence manufacture.
Referring to Fig. 1, in one embodiment, it is machined online quality management-control method and may comprise steps of：
S101 acquires the real-time physical amount in machining tool process.
Wherein, real-time physical amount can be spindle motor power, spindle motor torque, the electric current of spindle motor, cutting force,
The vibration of cutting zone, the sound of cutting zone or cutting zone the physical quantitys such as temperature.In milling, drilling and grinding etc. are mechanical
In processing, cutter cuts off workpiece material by the relative motion between itself high speed rotation and cutter and workpiece.In turning,
Realize that material removes by workpiece rotation and cutter movement.It is tangential suffered by cutter or workpiece during material removal
Power characterizes the degree to interact between cutter and workpiece.This is an important process parameter, each in system of processing
The variation of item input all can make this power change, and then generate different processing effects.But directly measure the cost of the power
Very high, installation is complicated.And spindle power is directly proportional to the power, and power sensor cost easy for installation is reasonable, can provide with
The information of cutting force as many, therefore spindle power is an ideal parameters for evaluating process.Therefore, in the present embodiment with
Real-time physical amount be spindle motor power for, this step is illustrated, but is not limited thereto.
In the present embodiment, spindle motor power can be obtained by following procedure：Acquire spindle motor real-time current and
After real-time voltage, in conjunction with the phase relation of real-time current and real-time voltage, spindle motor power is calculated.
It should be understood that when the case where real-time physical amount is in addition to spindle motor power, corresponding sensing can be passed through
Device monitoring obtains, therefore this will not be detailed here.
S102, if real-time physical amount exceeds the boundary of preset range, judges by real-time physical amount compared with preset range
There is quality abnormal in workpiece to be machined, and controls machining tool and execute the first operation.
Likewise, being illustrated below to this step, but not with this so that real-time physical amount is spindle motor power as an example
It is limited.
Wherein, the first operation be hard stop, executed current process after shut down or continue to process and alarm.User can be with
It is configured as the case may be.It the boundary of predetermined power range can be by spindle motor in multiple qualified process
Power data is obtained using boundary Control method.Wherein, in each qualified process the power data of spindle motor sampling frequency
Rate is consistent.
Specifically, referring to Fig. 2, in one embodiment, boundary Control method may include mean value method.By to multiple qualifications
The boundary of predetermined power range is calculated using mean value method in the power data of spindle motor in process, may include with
Lower step：
S201 obtains N1The power data of spindle motor in a qualification process.
Wherein, the number of qualified process is N1.Of the power data of spindle motor in each qualification process
Number is M.And in each qualified process the power data of spindle motor sample frequency it is consistent.Specifically, N1It can
Think that the integer more than or equal to 2, M can be the integer more than or equal to 2.
For example, the abscissa of a coordinate system is process time, ordinate is performance number.It is main in each qualification process
The power data of spindle motor can be shown as a curve in the coordinate system.It can be by main shaft in each qualified process
The power data of motor connects one by one according to chronological order, to form a curve.It is main in each qualification process
The power data number of spindle motor is M.N1It is a qualification process in spindle motor power data in the coordinate system
It can be shown as N1Curve.The both ends of every curve are aligned on axis of abscissas, referring to Fig. 4.
S202, for N1N in a qualification process corresponding to the same position of the power data of spindle motor1A work(
Rate data calculate N1The average value of a power data
Wherein it is possible to which the power data of M spindle motor in each qualified process is arranged according to sample time order
Sequence.N1N in a qualification process corresponding to the same position of the power data of spindle motor1A power data, can be
The power number on the corresponding position of same serial number in each qualification process after the power data sequence of M spindle motor
According to.Since the number of qualified process is N1It is a, in each qualification process after the power data sequence of M spindle motor
The corresponding position of same serial number on power data number 1.Therefore, N1The work(of spindle motor in a qualification process
After rate data sorting, the number of the power data on the corresponding position of same serial number shares N1It is a.
Specifically, referring to Fig. 4, N curve time coordinate having the same.It is assumed that main shaft in each qualification process
The power data of motor is respectively Pn1、Pn2To Pni, total M data.Pn1、Pn2To PniIt arranges sequentially in time.That is, every song
Line corresponds to Pn1、Pn2To PniEqual M data.Wherein, i is the integer more than or equal to 1 and less than or equal to M, and n is more than or equal to 1 and small
In equal to N1Integer.N1N in a qualification process corresponding to the same position of the power data of spindle motor1A power
Data can be the N with same time coordinate1A power data.For example, the N1A power data can be P1i、P2iTo Pni。
P1i、P2iTo PniIt is i-th of power data in corresponding qualified process.
In the present embodiment, formula can be passed throughCalculate average valueCalculated average valueNumber
It is M.
S203 passes through formulaCalculate the corresponding magnitude of power in boundary of predetermined power range.
Wherein, a is the first predetermined coefficient, and a>0.By the size for adjusting the first predetermined coefficient a, you can work(is preset in adjustment
The size of rate range.A is bigger, and predetermined power range is bigger.Conversely, predetermined power range is smaller.It should be understood that passing through formulaIt is after the corresponding magnitude of power in boundary for calculating predetermined power range, the coboundary of predetermined power range is corresponding
Magnitude of power connects one by one, then can form the coboundary curve of predetermined power range.The lower boundary of predetermined power range is corresponded to
Magnitude of power connect one by one, then can form the lower boundary curve of predetermined power range.
Referring to Fig. 3, in one embodiment, boundary Control method may include standard deviation method.By processed to multiple qualifications
The power data of spindle motor obtains the boundary of predetermined power range using standard deviation method in journey, may comprise steps of：
S301 obtains N2The power data of spindle motor in a qualification process.
Wherein, the number of qualified process is N2.Of the power data of spindle motor in each qualification process
Number is M.And in each qualified process the power data of spindle motor sample frequency it is consistent.Specifically, N2It can
Think that the integer more than or equal to 3, M can be the integer more than or equal to 2.
For example, the abscissa of a coordinate system is process time, ordinate is performance number.It is main in each qualification process
The power data of spindle motor can be shown as a curve in the coordinate system.Spindle motor in each qualification process
Power data number is M.N2The power data of spindle motor can be shown in the coordinate system in a qualification process
For N2Curve.The both ends of every curve are aligned on axis of abscissas, referring to Fig. 4.
S302, for N2N in a qualification process corresponding to the same position of the power data of spindle motor2A work(
Rate data calculate N2The average value P of a power dataiAnd standard deviation sigma.
Wherein it is possible to which the power data of M spindle motor in each qualified process is arranged according to sample time order
Sequence.N2N in a qualification process corresponding to the same position of the power data of spindle motor2A power data, can be
The power number on the corresponding position of same serial number in each qualification process after the power data sequence of M spindle motor
According to.Since the number of qualified process is N2It is a, in each qualification process after the power data sequence of M spindle motor
The corresponding position of same serial number on power data number 1.Therefore, N2The work(of spindle motor in a qualification process
After rate data sorting, the number of the power data on the corresponding position of same serial number shares N2It is a.
Specifically, referring to Fig. 4, N curve time coordinate having the same.It is assumed that main shaft in each qualification process
The power data of motor is respectively Pn1、Pn2To Pni, total M data.Pn1、Pn2To PniIt arranges sequentially in time.That is, every song
Line corresponds to Pn1、Pn2To PniEqual M data.Wherein, i is the integer more than or equal to 1 and less than or equal to M, and n is more than or equal to 1 and small
In equal to N2Integer.N2N in a qualification process corresponding to the same position of the power data of spindle motor2A power
Data can be the N with same time coordinate2A power data.For example, the N2A power data can be P1i、P2iTo Pni。
P1i、P2iTo PniIt is i-th of power data in corresponding qualified process.
In the present embodiment, formula can be passed throughCalculate average valueCalculated average valueNumber
It is M.Then according to average valueCalculate standard deviation sigmai.Formula can be passed throughCalculating standard
Poor σi.Calculated standard deviation sigmaiNumber be M.I.e. each sampled point corresponds to a standard deviation sigmai。
S303 passes through formulaCalculate the corresponding magnitude of power in boundary of predetermined power range.
Wherein, s is the second predetermined coefficient.By the size for adjusting the second predetermined coefficient s, you can adjustment predetermined power range
Size.Second predetermined coefficient s is bigger, and predetermined power range is bigger.Conversely, predetermined power range is smaller.Preferably, second is pre-
If the value range of coefficient s can be 3 to 5.Within this range by the second predetermined coefficient s settings, the predetermined power range obtained
Both will not be excessive, will not be too small, do not interfere with the judgement to the quality of workpieces processing.And predetermined power range is excessive, it may
It will appear the underproof workpieces processing in part and not detected.Predetermined power range is too small, may be to partial quality qualification
Workpieces processing be judged as it is unqualified, and execute first operation, influence process operation.
It should be understood that passing through formulaAfter the corresponding magnitude of power in boundary for calculating predetermined power range,
The corresponding magnitude of power in the coboundary of predetermined power range is connected one by one, then the coboundary that can form predetermined power range is bent
Line.The corresponding magnitude of power of the lower boundary of predetermined power range is connected one by one, then can form the lower boundary of predetermined power range
Curve.
Likewise, when the real-time physical amount in step S102 is other real-time physical amounts in addition to spindle motor power,
It is referred to the process of spindle motor power, when other real-time physical amounts exceed the boundary of corresponding preset range, is then judged
There is quality abnormal in workpiece to be machined, and controls machining tool and execute the first operation.
Further, in one embodiment, being machined online quality management-control method can also include：Store real-time physical
Amount, and show real-time physical amount and preset range.Specifically, can include in a coordinate by real-time physical amount and preset range
In system.The abscissa of the coordinate system is the time, and ordinate is physical quantity.In this way, convenient working personnel intuitively observe
The quality conditions of workpieces processing.Moreover, by analyzing there is the real-time physical amount of quality abnormal period and preset range,
It can also obtain the specifying information of quality abnormal.For example, according to there is the real-time physical amount of quality abnormal period and default model
It encloses and is analyzed, can be derived that the quality abnormal is abnormal supplied materials, flank of tooth burn exception or feeding exception etc..
The above-mentioned online quality management-control method of mechanical processing acquires during machine tooling in machining tool process
Real-time physical amount, by real-time physical amount compared with predetermined power, if real-time physical amount exceed preset range boundary, judge
There is quality abnormal in workpiece to be machined, and controls machining tool and execute the first operation.It can be according to the real-time object of machining tool
Reason amount judges whether there is quality abnormal in current process, real so as to finding the quality problem in process in time
Quality management and control in existing production process prevents workpiece to be machined from batch occurs bad.
Based on same inventive concept, the present invention also proposes a kind of online quality managing and control system of mechanical processing.Referring to Fig. 5, one
In a embodiment, it includes data acquisition device 110, data processing equipment 120 and signal to be machined online quality managing and control system
Output device 130.Wherein, data acquisition device 110 is used to acquire the real-time physical amount in 300 process of machining tool.Number
It is used for real-time physical amount compared with preset range according to processing unit 120.When real-time physical amount exceeds the boundary of preset range,
Data processing equipment 120 generates trigger signal, and trigger signal is sent to the control of machining tool through signal output apparatus 130
System 200.The control system 200 of machining tool controls the machining tool 300 and executes the first operation.
Wherein, first operation can be hard stop, executed current process after shut down or continue the behaviour such as process and alarm
Make.User can operate according to actual conditions pair first and be configured.Real-time physical amount is spindle motor power, spindle motor torsion
Square, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone the physics such as temperature
Amount.
Preferably, referring to Fig. 5, it can also includes display storage device 140 to be machined online quality managing and control system.Display
Storage device 140 shows real-time physical amount and preset range for storing real-time physical amount.Specifically, display storage device
140 can connect with data processing equipment 120, and obtain the real-time physical amount of the transmission of data processing equipment 120.Preset range can
To be directly pre-entered into display storage device 140.Display storage device 140 can also be obtained from data processing equipment 120
It takes.Show that real-time physical amount and preset range can be included in a coordinate system by storage device 140.The horizontal seat of the coordinate system
Mark can be the time, and ordinate is corresponding physical quantity, and with convenient working personnel or technical staff, intuitively observation is processed work
The quality conditions of part.
The above-mentioned online quality managing and control system of mechanical processing, during machine tooling, the acquisition processing of data acquisition device 110
Real-time physical amount in 300 process of lathe；Data processing equipment 120 by real-time physical amount compared with preset range, in reality
When physical quantity exceed preset range boundary when, judgement workpiece to be machined there is quality abnormal, by signal output apparatus 130 to
The control system 200 of machining tool 300 sends out trigger signal.Control system 200 controls machining tool 300 according to trigger signal and holds
Row first operates.It can judge whether there is quality abnormal in current process according to the real-time physical amount of machining tool,
So as to find the quality problem in process in time, realizes the quality management and control in production process, prevent product to be processed from sending out
Raw batch is bad.
In one embodiment, machining tool may include the online quality managing and control system of any one of the above mechanical processing, and
Have the advantages that possessed by the online quality managing and control system of above-mentioned mechanical processing.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (6)
1. a kind of online quality management-control method of mechanical processing, which is characterized in that include the following steps：
Acquire the real-time physical amount in machining tool process；
By the real-time physical amount compared with preset range, if the real-time physical amount exceeds the boundary of the preset range,
There is quality abnormal in judgement workpiece to be machined, and controls the machining tool and execute the first operation；
Wherein, first operation be hard stop, executed current process after shut down or continue to process and alarm；
The real-time physical amount is spindle motor power, spindle motor torque, the electric current of spindle motor, cutting force, cutting zone
Vibration, the sound of cutting zone or the temperature of cutting zone；
The real-time physical amount is spindle motor power；The boundary of predetermined power range passes through to main in multiple qualified process
The power data of spindle motor is calculated using boundary Control method；
The boundary Control method includes mean value method；The boundary of the predetermined power range passes through in multiple qualified process
The power data of spindle motor use the method that mean value method is calculated for：
Obtain N1The power data of spindle motor in a qualified process；The number of the qualification process is N1, often
The number of the power data of spindle motor is M in a qualified process；
For N1N in a qualified process corresponding to the same position of the power data of spindle motor1A power number
According to calculating the N1The average value of a power data
Pass through formulaCalculate the corresponding magnitude of power in boundary of the predetermined power range；
Wherein, N1For the integer more than or equal to 2, M is the integer more than or equal to 2, and i is more than or equal to 1 and whole less than or equal to M
Number；A is the first predetermined coefficient, and a>0；
Alternatively, the boundary Control method includes standard deviation method；The boundary of the predetermined power range passes through to multiple qualified processing
In the process the power data of spindle motor use the method that standard deviation method is calculated for：
Obtain N2The power data of spindle motor in a qualified process；The number of the qualification process is N2, often
The number of the power data of spindle motor is M in a qualified process；
For N2N in a qualified process corresponding to the same position of the power data of spindle motor2A power number
According to calculating the N2The average value of a power dataAnd standard deviation sigma；
Pass through formulaCalculate the corresponding magnitude of power in boundary of the predetermined power range；
Wherein, N2For the integer more than or equal to 3, M is the integer more than or equal to 2, and i is more than or equal to 1 and whole less than or equal to M
Number；S is the second predetermined coefficient.
2. the online quality management-control method of mechanical processing according to claim 1, which is characterized in that second predetermined coefficient
The value range of s is 3 to 5.
3. the online quality management-control method of mechanical processing according to claim 1, which is characterized in that the method further includes：
The real-time physical amount is stored, and shows the real-time physical amount and the preset range.
4. a kind of online quality management-control method of mechanical processing of implementation as described in any one of claim 1-3 claims
It is machined online quality managing and control system, which is characterized in that export and fill including data acquisition device, data processing equipment and signal
It sets；
The data acquisition device is used to acquire the real-time physical amount in machining tool process, and is converted at the data
The identifiable signal mode of device is managed, data processing equipment is sent to；
The data processing equipment is used for by the real-time physical amount compared with preset range, exceeds institute in the real-time physical amount
When stating the boundary of preset range, trigger signal is generated, and through the signal output apparatus be sent to the trigger signal described
The control system of machining tool；
The control system of the machining tool controls the machining tool and executes the first operation；
Wherein, first operation be hard stop, executed current process after shut down or continue to process and alarm；
The real-time physical amount is spindle motor power, spindle motor torque, the electric current of spindle motor, cutting force, cutting zone
Vibration, the sound of cutting zone or the temperature of cutting zone.
5. the online quality managing and control system of mechanical processing according to claim 4, which is characterized in that further include display storage dress
It sets；The display storage device is connect with the data processing equipment；
The display storage device shows the real-time physical amount and the default model for storing the real-time physical amount
It encloses.
6. a kind of machining tool, which is characterized in that including the online quality managing and control system of mechanical processing described in claim 4 or 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610029372.6A CN105573250B (en) | 2016-01-15 | 2016-01-15 | It is machined online quality management-control method and system and machining tool |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610029372.6A CN105573250B (en) | 2016-01-15 | 2016-01-15 | It is machined online quality management-control method and system and machining tool |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105573250A CN105573250A (en) | 2016-05-11 |
| CN105573250B true CN105573250B (en) | 2018-10-09 |
Family
ID=55883506
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610029372.6A Active CN105573250B (en) | 2016-01-15 | 2016-01-15 | It is machined online quality management-control method and system and machining tool |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105573250B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106141811A (en) * | 2016-06-15 | 2016-11-23 | 武汉范特西网络科技有限公司 | Wireless mechanical working condition maintenance device |
| CN107861476A (en) * | 2017-12-15 | 2018-03-30 | 重庆吉兰丁智能科技有限公司 | A kind of novel intelligent manufacture controller and its control method |
| CN108415381A (en) * | 2018-02-10 | 2018-08-17 | 苏州宏软信息技术有限公司 | A kind of distributed and remote control system and monitoring method for machine shop |
| CN115338693B (en) * | 2022-10-18 | 2023-08-11 | 江苏天南电力股份有限公司 | Machining loss avoiding method and system of automatic lathe |
| CN115993366B (en) * | 2023-03-24 | 2023-07-07 | 枣庄市大猫电子科技有限公司 | Workpiece surface detection method and system based on sensing equipment |
| CN116117587B (en) * | 2023-04-18 | 2023-06-30 | 济宁联威车轮制造有限公司 | Finished product quality detection system based on numerical control lathe generates |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011043864A (en) * | 2009-08-19 | 2011-03-03 | Toshiba Mach Co Ltd | Automatic programming method |
| CN104101498A (en) * | 2014-07-08 | 2014-10-15 | 上海工程技术大学 | Real-time fault detection method and system of processing machine tool main shaft bearing |
| CN104536385A (en) * | 2014-12-18 | 2015-04-22 | 华中科技大学 | Method for correcting machining program of numerical control machine tool |
| CN105033760A (en) * | 2015-08-18 | 2015-11-11 | 深圳市创世纪机械有限公司 | Pre-warning system of numerical control machine tool |
-
2016
- 2016-01-15 CN CN201610029372.6A patent/CN105573250B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011043864A (en) * | 2009-08-19 | 2011-03-03 | Toshiba Mach Co Ltd | Automatic programming method |
| CN104101498A (en) * | 2014-07-08 | 2014-10-15 | 上海工程技术大学 | Real-time fault detection method and system of processing machine tool main shaft bearing |
| CN104536385A (en) * | 2014-12-18 | 2015-04-22 | 华中科技大学 | Method for correcting machining program of numerical control machine tool |
| CN105033760A (en) * | 2015-08-18 | 2015-11-11 | 深圳市创世纪机械有限公司 | Pre-warning system of numerical control machine tool |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105573250A (en) | 2016-05-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105573250B (en) | It is machined online quality management-control method and system and machining tool | |
| CN105676778B (en) | Intelligence manufacture method and system and machining tool based on Sensor monitoring | |
| CN109799784B (en) | Tool wear detection device, detection method thereof and tool wear compensation method | |
| CN102452022B (en) | The supervision method of lathe, monitoring arrangement and lathe | |
| Shi et al. | An improved cutting power-based model for evaluating total energy consumption in general end milling process | |
| CN104898565B (en) | The improved database for flutter prediction | |
| CN101829951B (en) | Outer circle grinding workpiece surface quality visualized real-time monitoring method | |
| CN102441817B (en) | Duty history management method and duty history management devices | |
| CN101434045B (en) | Device for calibrating relationship between current of electric machine of numerically controlled machine and cutting load | |
| WO2012169300A1 (en) | Working abnormality detecting device and working abnormality detecting method for machine tool | |
| JP6752866B2 (en) | Cutting tool condition inspection system and method | |
| CN108426665B (en) | Grinding wheel abrasion on-line monitoring and alarming device based on grinding resistance moment real-time measurement | |
| TW201332708A (en) | Tool chatter surveillance method | |
| CN106094730A (en) | Cutting Force Coefficient discrimination method based on main shaft of numerical control machine tool and axis servomotor power | |
| Suhail et al. | Workpiece surface temperature for in-process surface roughness prediction using response surface methodology | |
| CN110509110A (en) | A kind of cutting tool for CNC machine cutting force intelligent monitor system | |
| Serra et al. | Experimental evaluation of flank wear in dry turning from accelerometer data | |
| Armendia et al. | Cyber-physical system to improve machining process performance | |
| KR102305644B1 (en) | A method for measuring cutting load on individual spindle in multi-spindle drilling machine, which is driven by both a spindle motor and a feedrate motor | |
| Hsu et al. | Low-cost vibration and acceleration sensors module for the drilling processes monitoring | |
| CN208621219U (en) | Abrasion of grinding wheel on-Line Monitor Device based on grinding resistance square real-time measurement | |
| Lamraoui et al. | Cyclostationarity analysis of instantaneous angular speeds for monitoring chatter in high speed milling | |
| Smith et al. | Simulating the Effect of Modulated Tool-Path Chip Breaking on Surface Texture and Chip Length | |
| Jayaswal et al. | An investigation of tool condition monitoring | |
| Pappachan et al. | Event Classification from Sensor Data using Spectral Analysis in Robotic Finishing Processes. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |