CN105573250A - On-line quality control method and system for machining, and processing machine tool - Google Patents
On-line quality control method and system for machining, and processing machine tool Download PDFInfo
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- CN105573250A CN105573250A CN201610029372.6A CN201610029372A CN105573250A CN 105573250 A CN105573250 A CN 105573250A CN 201610029372 A CN201610029372 A CN 201610029372A CN 105573250 A CN105573250 A CN 105573250A
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- 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
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- 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
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Abstract
The invention discloses an on-line quality control method for machining. The on-line quality control method for machining includes the steps: acquiring the real time physical quantity during the machining process of a processing machine tool; and comparing the real time physical quantity with a preset range, and determining that a machined workpiece is abnormal in quality and controlling the processing machine tool to perform a first operation if the real time physical quantity exceeds the boundary of the preset range, wherein the first operation includes closing down the machine tool immediately, closing down the machine tool after finishing the current process, or keeping on machining and giving an alarm. The on-line quality control method for machining can timely discover the quality problem during the machining process and realize quality control during the production process, and can prevent occurrence of reject batch for the machined products. The invention also discloses an on-line quality control system for machining, and a processing machine tool.
Description
Technical field
The present invention relates to machining monitoring technique field, particularly relate to the online quality management-control method of a kind of machining and system and machining tool.
Background technology
In machining, the quality of workpiece comprises dimensional accuracy, form and position tolerance and surface quality etc.Due to the restriction of processing environment and the requirement of efficiency, quality restriction is in the past carried out all after processing, and belongs to batch inspection.If workpiece occurs that batch is bad, also can only do over again in batches or scrap, great waste may be caused.
The factor causing workpiece quality bad is a lot, and comprise the state etc. of lathe, workpiece material, technological parameter and machining tool, wherein the change of any one factor all may cause quality problem.By processing rear quality restriction result, being also difficult to the reason judging to cause quality bad, cannot making and adjusting timely.
Summary of the invention
Based on this, be necessary to provide a kind of and can judge the online quality management-control method of the machining of processing quality exception and system and machining tool in time.
The online quality management-control method of a kind of machining, comprises the following steps:
Gather the real-time physical amount in machining tool process;
Described real-time physical amount is compared with preset range, if described real-time physical amount exceeds the border of described preset range, then judges that quality abnormal appears in workpiece to be machined, and control described machining tool execution first operation;
Wherein, described first be operating as hard stop, execute current process after shut down or continue process and report to the police;
Described real-time physical amount is the temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.
Wherein in an embodiment, described real-time physical amount is spindle motor power; The border of described preset range is by adopting boundary Control method to calculate to the power data of spindle motor in multiple qualified process.
Wherein in an embodiment, described boundary Control method comprises mean value method; The border of described predetermined power scope by the method adopting mean value method to calculate to the power data of spindle motor in multiple qualified process is:
Obtain N
1the power data of spindle motor in individual described qualified process; The number of described qualified process is N
1, in each described qualified process, the number of the power data of spindle motor is M;
For N
1the N corresponding to same position of the power data of spindle motor in individual described qualified process
1individual power data, calculates described N
1the mean value of individual power data
Pass through formula
calculate the magnitude of power that the border of described predetermined power scope is corresponding;
Wherein, N
1for being more than or equal to the integer of 2, M be more than or equal to 2 integer, i is the integer being more than or equal to 1 and being less than or equal to M; A is the first predetermined coefficient, and a>0.
Wherein in an embodiment, described boundary Control method comprises standard deviation method; The border of described predetermined power scope by the method adopting standard deviation method to calculate to the power data of spindle motor in multiple qualified process is:
Obtain N
2the power data of spindle motor in individual described qualified process; The number of described qualified process is N
2, in each described qualified process, the number of the power data of spindle motor is M;
For N
2the N corresponding to same position of the power data of spindle motor in individual described qualified process
2individual power data, calculates described N
2the average value P of individual power data
iand standard deviation sigma;
Pass through formula
calculate the magnitude of power that the border of described predetermined power scope is corresponding;
Wherein, N
2for being more than or equal to the integer of 3, M be more than or equal to 2 integer, i is the integer being more than or equal to 1 and being less than or equal to M; S is the second predetermined coefficient.
Wherein in an embodiment, the span of described second predetermined coefficient s is 3 to 5.
Wherein in an embodiment, described method also comprises:
Store described real-time physical amount, and show described real-time physical amount and described preset range.
The online quality managing and control system of a kind of machining, comprises data collector, data processing equipment and signal output apparatus;
Described data collector for gathering the real-time physical amount in machining tool process, and converts the discernible signal mode of described data processing equipment to, is sent to data processing equipment;
Described data processing equipment is used for described real-time physical amount to compare with preset range, when described real-time physical amount exceeds the border of described preset range, generate trigger pip, and through described signal output apparatus, described trigger pip is sent to the control system of described machining tool;
The control system of described machining tool controls described machining tool and performs the first operation;
Wherein, described first be operating as hard stop, execute current process after shut down or continue process and report to the police;
Described real-time physical amount is the temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.
Wherein in an embodiment, also comprise display memory storage; Described display memory storage is connected with described data processing equipment;
Described display memory storage for storing described real-time physical amount, and shows described real-time physical amount and described preset range.
A kind of machining tool, comprises the above-mentioned online quality managing and control system of machining described in any one.
The online quality management-control method of above-mentioned machining and system and machining tool, in machine tooling process, gather the real-time physical amount in machining tool process, real-time physical amount is compared with preset range, if real-time physical amount exceeds the border of preset range, then judge that quality abnormal appears in workpiece to be machined, and controlled working lathe performs the first operation.It can judge whether have quality abnormal in current process according to the real-time physical amount of machining tool, thus the quality problem in energy Timeliness coverage process, realize the quality management and control of production run, prevent product to be processed from batch occurring bad.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of a machining of the present invention online quality management-control method embodiment;
Fig. 2 is the schematic flow sheet of the employing mean value method calculating predetermined power scope in machining of the present invention online quality management-control method embodiment;
Fig. 3 is the schematic flow sheet of the employing standard deviation method calculating predetermined power scope in machining of the present invention online quality management-control method embodiment;
Fig. 4 is the curve that the power data of spindle motor in multiple qualified process is formed;
Fig. 5 is the structural representation of a machining of the present invention online quality managing and control system embodiment.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, be described below in conjunction with the embodiment of accompanying drawing to the online quality management and control of machining of the present invention and system and machining tool.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Can the physical quantity of reacting processing machine tooling process have a variety of, the conventional physical quantity such as temperature comprising cutting force, spindle motor moment of torsion, spindle motor power, the current of spindle motor, the vibration of cutting zone, the sound of cutting zone and cutting zone.Sensor corresponding to these physical quantitys is followed successively by force snesor, torque sensor, power sensor, current sensor, vibration transducer, calibrate AE sensor and temperature sensor.Due to the difference of the signal characteristic of often kind of sensor, mounting means and cost, so in different processed and applied occasions, the mode of different sensors or Multi-sensor fusion can be used to monitor process.No matter use which kind of or which plant sensor, all need to determine often kind of sensor corresponding can the eigenwert of reacting processing change in process.Eigenwert comprises original signal; Based on the statistical signal in the various time domains that the sample data of original signal calculates, as mean value, peak value, root-mean-square value etc.; All kinds of frequency-region signals obtained after carrying out mathematics manipulation conversion to original signal, as power spectrum, amplitude spectrum and phase spectrum etc.In process, each the small change of lathe, technological parameter, machining tool and workpiece material, all can cause process to change, and can correspondingly these physical quantitys of reacting processing process also can change.But the concrete change using which kind of eigenwert of which kind of sensor to characterize the process that will react, needs to determine according to the variation relation between concrete signal characteristic and the physical phenomenon that will monitor.
After determining the eigenwert that will monitor, this eigenwert just can be used as the basic data realizing intelligence manufacture, and based on diagnosing the labor of these data, managing and controlled working process, finally realize the object of intelligence manufacture.
See Fig. 1, in an embodiment, the online quality management-control method of machining can comprise the following steps:
S101, gathers the real-time physical amount in machining tool process.
Wherein, real-time physical amount can be the physical quantity such as temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.In milling, in the machining such as drilling and grinding, cutter excises workpiece material by self High Rotation Speed and the relative motion between cutter and workpiece.In turning, moved by workpiece rotation and cutter and realize material removal.In the process removing material, cutter or the tangential force suffered by workpiece characterize interactional degree between cutter and workpiece.This is an important process parameter, and in system of processing, the change of every input all can make this power change, and then produces different processing effects.But the cost directly measuring this power is very high, install complicated.And spindle power is directly proportional to this power, and power sensor cost easy for installation is reasonable, can provide the as many information with cutting force, and therefore spindle power is the ideal parameters evaluating process.Therefore, in the present embodiment for real-time physical amount for spindle motor power, this step to be described, but not as limit.
In the present embodiment, spindle motor power can be obtained by following process: after gathering the real-time current of spindle motor and real-time voltage, in conjunction with the phase relation of real-time current and real-time voltage, calculates spindle motor power.
Understandable, when real-time physical amount is the situation except spindle motor power, can be drawn by corresponding Sensor monitoring, therefore be not described in detail in this.
S102, compares real-time physical amount with preset range, if real-time physical amount exceeds the border of preset range, then judge that quality abnormal appears in workpiece to be machined, and controlled working lathe performs the first operation.
Same, below for real-time physical amount for spindle motor power, this step to be described, but not as limit.
Wherein, first be operating as hard stop, execute current process after shut down or continue process and report to the police.User can be arranged as the case may be.The border of predetermined power scope can by adopting boundary Control method to draw to the power data of spindle motor in multiple qualified process.Wherein, in each qualified process, the sample frequency of the power data of spindle motor is consistent.
Concrete, see Fig. 2, in an embodiment, boundary Control method can comprise mean value method.By adopting mean value method to calculate the border of predetermined power scope to the power data of spindle motor in multiple qualified process, can comprise the following steps:
S201, obtains N
1the power data of spindle motor in individual qualified process.
Wherein, the number of qualified process is N
1.In each qualified process, the number of the power data of spindle motor is M.And the sample frequency of the power data of spindle motor is all consistent in each qualified process.Concrete, N
1can for the integer being more than or equal to 2, M can for the integer being more than or equal to 2.
Such as, the horizontal ordinate of a coordinate system is process time, and ordinate is performance number.In each qualified process, the power data of spindle motor all can be shown as a curve in the coordinate system.The power data of spindle motor in each qualified process can be connected one by one according to time order and function order, thus form a curve.In each qualified process, the power data number of spindle motor is M.N
1in individual qualified process, the power data of spindle motor can be shown as N in the coordinate system
1bar curve.Align, see Fig. 4 in the two ends of every bar curve on abscissa axis.
S202, for N
1the N corresponding to same position of the power data of spindle motor in individual qualified process
1individual power data, calculates N
1the mean value of individual power data
Wherein, the power data of M spindle motor in each qualified process can be sorted according to sample time order.N
1the N corresponding to same position of the power data of spindle motor in individual qualified process
1individual power data can be the power data on position corresponding to same sequence number after the power data sequence of M spindle motor in each qualified process.Number due to qualified process is N
1individual, in each qualified process M spindle motor power data sequence after position corresponding to same sequence number on the number 1 of power data.Therefore, N
1after in individual qualified process, the power data of spindle motor sorts, the number of the power data on the position that same sequence number is corresponding has N
1individual.
Concrete, see Fig. 4, N bar curve, there is identical time coordinate.Suppose, in each qualified process, the power data of spindle motor is respectively P
n1, P
n2to P
ni, M data altogether.P
n1, P
n2to P
niarrange according to time sequencing.That is, the corresponding P of every bar curve
n1, P
n2to P
nideng M data.Wherein, i is the integer being more than or equal to 1 and being less than or equal to M, and n is for being more than or equal to 1 and being less than or equal to N
1integer.N
1the N corresponding to same position of the power data of spindle motor in individual qualified process
1individual power data, can for having the N of same time coordinate
1individual power data.Such as, this N
1individual power data can be P
1i, P
2ito P
ni.P
1i, P
2ito P
nibe i-th power data in corresponding qualified process.
In the present embodiment, formula can be passed through
calculating mean value
the mean value calculated
number be M.
S203, passes through formula
calculate the magnitude of power that the border of predetermined power scope is corresponding.
Wherein, a is the first predetermined coefficient, and a>0.By regulating the size of the first predetermined coefficient a, i.e. the size of adjustable predetermined power scope.A is larger, and predetermined power scope is larger.Otherwise predetermined power scope is less.Understandable, pass through formula
after calculating magnitude of power corresponding to the border of predetermined power scope, magnitude of power corresponding for the coboundary of predetermined power scope is connected one by one, then can form the coboundary curve of predetermined power scope.Magnitude of power corresponding for the lower boundary of predetermined power scope is connected one by one, then can form the lower boundary curve of predetermined power scope.
See Fig. 3, in an embodiment, boundary Control method can comprise standard deviation method.By adopting standard deviation method to draw the border of predetermined power scope to the power data of spindle motor in multiple qualified process, can comprise the following steps:
S301, obtains N
2the power data of spindle motor in individual qualified process.
Wherein, the number of qualified process is N
2.In each qualified process, the number of the power data of spindle motor is M.And the sample frequency of the power data of spindle motor is all consistent in each qualified process.Concrete, N
2can for the integer being more than or equal to 3, M can for the integer being more than or equal to 2.
Such as, the horizontal ordinate of a coordinate system is process time, and ordinate is performance number.In each qualified process, the power data of spindle motor all can be shown as a curve in the coordinate system.In each qualified process, the power data number of spindle motor is M.N
2in individual qualified process, the power data of spindle motor can be shown as N in the coordinate system
2bar curve.Align, see Fig. 4 in the two ends of every bar curve on abscissa axis.
S302, for N
2the N corresponding to same position of the power data of spindle motor in individual qualified process
2individual power data, calculates N
2the average value P of individual power data
iand standard deviation sigma.
Wherein, the power data of M spindle motor in each qualified process can be sorted according to sample time order.N
2the N corresponding to same position of the power data of spindle motor in individual qualified process
2individual power data can be the power data on position corresponding to same sequence number after the power data sequence of M spindle motor in each qualified process.Number due to qualified process is N
2individual, in each qualified process M spindle motor power data sequence after position corresponding to same sequence number on the number 1 of power data.Therefore, N
2after in individual qualified process, the power data of spindle motor sorts, the number of the power data on the position that same sequence number is corresponding has N
2individual.
Concrete, see Fig. 4, N bar curve, there is identical time coordinate.Suppose, in each qualified process, the power data of spindle motor is respectively P
n1, P
n2to P
ni, M data altogether.P
n1, P
n2to P
niarrange according to time sequencing.That is, the corresponding P of every bar curve
n1, P
n2to P
nideng M data.Wherein, i is the integer being more than or equal to 1 and being less than or equal to M, and n is for being more than or equal to 1 and being less than or equal to N
2integer.N
2the N corresponding to same position of the power data of spindle motor in individual qualified process
2individual power data, can for having the N of same time coordinate
2individual power data.Such as, this N
2individual power data can be P
1i, P
2ito P
ni.P
1i, P
2ito P
nibe i-th power data in corresponding qualified process.
In the present embodiment, formula can be passed through
calculating mean value
the mean value calculated
number be M.Then according to mean value
calculate standard deviation sigma
i.Formula can be passed through
calculate standard deviation sigma
i.The standard deviation sigma calculated
inumber be M.The i.e. corresponding standard deviation sigma of each sampled point
i.
S303, passes through formula
calculate the magnitude of power that the border of predetermined power scope is corresponding.
Wherein, s is the second predetermined coefficient.By regulating the size of the second predetermined coefficient s, i.e. the size of adjustable predetermined power scope.Second predetermined coefficient s is larger, and predetermined power scope is larger.Otherwise predetermined power scope is less.Preferably, the span of the second predetermined coefficient s can be 3 to 5.Be arranged within the scope of this by the second predetermined coefficient s, the predetermined power scope drawn both can not be excessive, also can not be too small, can not affect the judgement of the quality to processing work.And predetermined power scope is excessive, the underproof processing work of part may be there is and do not detect.Predetermined power scope is too small, may be judged as defective by the processing work qualified to partial quality, and perform the first operation, impact processing operation.
Understandable, pass through formula
after calculating magnitude of power corresponding to the border of predetermined power scope, magnitude of power corresponding for the coboundary of predetermined power scope is connected one by one, then can form the coboundary curve of predetermined power scope.Magnitude of power corresponding for the lower boundary of predetermined power scope is connected one by one, then can form the lower boundary curve of predetermined power scope.
Same, when real-time physical amount in step S102 is other real-time physical amounts except spindle motor power, can with reference to the process of spindle motor power, when other real-time physical amounts exceed the border of corresponding preset range, then judge that quality abnormal appears in workpiece to be machined, and controlled working lathe performs the first operation.
Further, in an embodiment, the online quality management-control method of machining can also comprise: store real-time physical amount, and show real-time physical amount and preset range.Concrete, real-time physical amount and preset range can be presented in a coordinate system.The horizontal ordinate of this coordinate system is the time, and ordinate is physical quantity.Like this, convenient working personnel observe intuitively just at the quality conditions of processing work.And, by analyzing the real-time physical amount and preset range that occur the quality abnormal period, the specifying information of quality abnormal can also be drawn.Such as, analyze according to the real-time physical amount and preset range that occur the quality abnormal period, can show that this quality abnormal is supplied materials exception, flank of tooth burn exception or feeding exception etc.
The online quality management-control method of above-mentioned machining, in machine tooling process, gather the real-time physical amount in machining tool process, real-time physical amount is compared with predetermined power, if real-time physical amount exceeds the border of preset range, then judge that quality abnormal appears in workpiece to be machined, and controlled working lathe performs the first operation.It can judge whether have quality abnormal in current process according to the real-time physical amount of machining tool, thus the quality problem in energy Timeliness coverage process, realize the quality management and control in production run, prevent workpiece to be machined from batch occurring bad.
Based on same inventive concept, the present invention also proposes the online quality managing and control system of a kind of machining.See Fig. 5, in an embodiment, the online quality managing and control system of machining comprises data collector 110, data processing equipment 120 and signal output apparatus 130.Wherein, data collector 110 is for gathering the real-time physical amount in machining tool 300 process.Data processing equipment 120 is for comparing real-time physical amount with preset range.When real-time physical amount exceeds the border of preset range, data processing equipment 120 generates trigger pip, and trigger pip is sent to the control system 200 of machining tool through signal output apparatus 130.The control system 200 of machining tool controls described machining tool 300 and performs the first operation.
Wherein, the first operation can for hard stop, execute and to shut down after current process or to continue processing and the operations such as warning.User can be arranged the first operation according to actual conditions.Real-time physical amount is the physical quantity such as temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.
Preferably, see Fig. 5, the online quality managing and control system of machining can also comprise display memory storage 140.Display memory storage 140 for storing real-time physical amount, and shows real-time physical amount and preset range.Concrete, display memory storage 140 can be connected with data processing equipment 120, and obtains the real-time physical amount of data processing equipment 120 transmission.Preset range can directly be pre-entered in display memory storage 140.Display memory storage 140 also can obtain from data processing equipment 120.Real-time physical amount and preset range can be presented in a coordinate system by display memory storage 140.The horizontal ordinate of this coordinate system can be the time, and ordinate is corresponding physical quantity, observes the quality conditions of workpiece to be machined with convenient working personnel or technician intuitively.
The online quality managing and control system of above-mentioned machining, in machine tooling process, data collector 110 gathers the real-time physical amount in machining tool 300 process; Real-time physical amount compares with preset range by data processing equipment 120, when real-time physical amount exceeds the border of preset range, judge that quality abnormal appears in workpiece to be machined, send trigger pip by signal output apparatus 130 to the control system 200 of machining tool 300.Control system 200 performs the first operation according to trigger pip controlled working lathe 300.It can judge whether have quality abnormal in current process according to the real-time physical amount of machining tool, thus the quality problem in energy Timeliness coverage process, realize the quality management and control in production run, prevent product to be processed from batch occurring bad.
In an embodiment, machining tool can comprise the online quality managing and control system of any one machining above-mentioned, and has the advantage that the online quality managing and control system of above-mentioned machining has.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (9)
1. the online quality management-control method of machining, is characterized in that, comprise the following steps:
Gather the real-time physical amount in machining tool process;
Described real-time physical amount is compared with preset range, if described real-time physical amount exceeds the border of described preset range, then judges that quality abnormal appears in workpiece to be machined, and control described machining tool execution first operation;
Wherein, described first be operating as hard stop, execute current process after shut down or continue process and report to the police;
Described real-time physical amount is the temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.
2. the online quality management-control method of machining according to claim 1, is characterized in that, described real-time physical amount is spindle motor power; The border of described preset range is by adopting boundary Control method to calculate to the power data of spindle motor in multiple qualified process.
3. the online quality management-control method of machining according to claim 2, is characterized in that, described boundary Control method comprises mean value method; The border of described predetermined power scope by the method adopting mean value method to calculate to the power data of spindle motor in multiple qualified process is:
Obtain N
1the power data of spindle motor in individual described qualified process; The number of described qualified process is N
1, in each described qualified process, the number of the power data of spindle motor is M;
For N
1the N corresponding to same position of the power data of spindle motor in individual described qualified process
1individual power data, calculates described N
1the mean value of individual power data
Pass through formula
calculate the magnitude of power that the border of described predetermined power scope is corresponding;
Wherein, N
1for being more than or equal to the integer of 2, M be more than or equal to 2 integer, i is the integer being more than or equal to 1 and being less than or equal to M; A is the first predetermined coefficient, and a>0.
4. the online quality management-control method of machining according to claim 2, is characterized in that, described boundary Control method comprises standard deviation method; The border of described predetermined power scope by the method adopting standard deviation method to calculate to the power data of spindle motor in multiple qualified process is:
Obtain N
2the power data of spindle motor in individual described qualified process; The number of described qualified process is N
2, in each described qualified process, the number of the power data of spindle motor is M;
For N
2the N corresponding to same position of the power data of spindle motor in individual described qualified process
2individual power data, calculates described N
2the mean value of individual power data
and standard deviation sigma;
Pass through formula
calculate the magnitude of power that the border of described predetermined power scope is corresponding;
Wherein, N
2for being more than or equal to the integer of 3, M be more than or equal to 2 integer, i is the integer being more than or equal to 1 and being less than or equal to M; S is the second predetermined coefficient.
5. the online quality management-control method of machining according to claim 4, is characterized in that, the span of described second predetermined coefficient s is 3 to 5.
6. the online quality management-control method of machining according to claim 1, it is characterized in that, described method also comprises:
Store described real-time physical amount, and show described real-time physical amount and described preset range.
7. the online quality managing and control system of machining, is characterized in that, comprise data collector, data processing equipment and signal output apparatus;
Described data collector for gathering the real-time physical amount in machining tool process, and converts the discernible signal mode of described data processing equipment to, is sent to data processing equipment;
Described data processing equipment is used for described real-time physical amount to compare with preset range, when described real-time physical amount exceeds the border of described preset range, generate trigger pip, and through described signal output apparatus, described trigger pip is sent to the control system of described machining tool;
The control system of described machining tool controls described machining tool and performs the first operation;
Wherein, described first be operating as hard stop, execute current process after shut down or continue process and report to the police;
Described real-time physical amount is the temperature of spindle motor power, spindle motor moment of torsion, the electric current of spindle motor, cutting force, the vibration of cutting zone, the sound of cutting zone or cutting zone.
8. the online quality managing and control system of machining according to claim 7, is characterized in that, also comprise display memory storage; Described display memory storage is connected with described data processing equipment;
Described display memory storage for storing described real-time physical amount, and shows described real-time physical amount and described preset range.
9. a machining tool, is characterized in that, comprises the online quality managing and control system of machining described in claim 7 or 8.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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