CN109290672A - A kind of Metal Material Welding method and control system based on ultrasonic bonding - Google Patents
A kind of Metal Material Welding method and control system based on ultrasonic bonding Download PDFInfo
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- CN109290672A CN109290672A CN201811180707.XA CN201811180707A CN109290672A CN 109290672 A CN109290672 A CN 109290672A CN 201811180707 A CN201811180707 A CN 201811180707A CN 109290672 A CN109290672 A CN 109290672A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K20/00—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
- B23K20/10—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating making use of vibrations, e.g. ultrasonic welding
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K20/00—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
- B23K20/26—Auxiliary equipment
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- Mechanical Engineering (AREA)
- Pressure Welding/Diffusion-Bonding (AREA)
- Apparatuses For Generation Of Mechanical Vibrations (AREA)
Abstract
The invention belongs to metal works welding technology fields, disclose a kind of Metal Material Welding method and control system based on ultrasonic bonding；The thickness of raw material, welding condition are detected by signal collection and analysis module, the information that will test is transmitted to center regulation module；Center regulation module selects suitable power to carry out ultrasonic wave radiation according to the information control transmitting module of acquisition and analysis, and is exported；Signal collection and analysis module detects the launch time of ultrasonic wave, transducing time and welding situation, and the information that will test is transmitted to center regulation module, regulates and controls module by center and carries out intelligent control to system.The present invention is by using LBFA algorithm to central regulator control system, meet the central regulator control system task that real time resources are dispatched under magnanimity node condition, the fitness and degrees of coordination for making each system greatly improve, and have effectively facilitated the stability, operability and reliability of system.
Description
Technical field
The invention belongs to metal welding techniques field more particularly to a kind of Metal Material Welding sides based on ultrasonic bonding
Method and control system.
Background technique
Currently, the prior art commonly used in the trade is such that ultrasonic bonding is to be transmitted to two using high-frequency vibration wave
The body surface that need to be welded makes two body surface phase mutual friction and forms the engagement between molecular layer in the case where pressurization.
Either Ultrasonic Plastic Welding or ultrasonic wave metal welding, basic principle is all roughly the same, but due to metal material with
The difference of plastics, ultrasonic wave metal welding requirements have higher precision and higher power capacity and low impedance, therefore right
The requirement of the components such as supersonic generator and energy converter is more harsh, exactly these requirements, so that early stage is for welding plastic
The welding of ultrasonic brazing unit and the not competent metal material of technology.In view of ultrasonic wave metal welding and Ultrasonic Plastic Welding
Between the technology similarities and differences, the development of ultrasonic wave metal welding technique has been increasingly becoming focus concerned by people.
But since ultrasonic welding system is more complicated, the mutual cooperation of multiple systems, shape are needed in the welding process
The total system combined closely at one could be stable operation, if the fitness of whole system and degrees of coordination is inconsistent to lead
Stability, operability and the reliability aspect of cause system have certain problems.
In conclusion problem of the existing technology is:
(1) since ultrasonic welding system is more complicated, the mutual cooperation of multiple systems is needed in the welding process, is formed
One total system combined closely could be stable operation, if the fitness of whole system and degrees of coordination is inconsistent will lead to
Stability, operability and the reliability aspect of system have certain problems.
(2) larger to the analysis of data and collection capacity, data analysis is inaccurate, easily causes the appearance of a variety of errors, right
Welding quality produces serious influence.
(3) traditional tracking to ultrasonic wave transducer resonance frequency is difficult to cooperate with vibration frequency, cannot keep one
It causes, welding efficiency is lower.
Solve the difficulty and meaning of above-mentioned technical problem:
By the improvement to ultrasonic wave metal welding system, keep ultrasonic system more stable with it is reliable, convenient for operation,
Development to ultrasonic technology in China has great facilitation, makes bigger tribute for the socio-economic development in China
It offers.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of Metal Material Welding sides based on ultrasonic bonding
Method and control system.
The invention is realized in this way a kind of Metal Material Welding method based on ultrasonic bonding, described based on ultrasound
Metal Material Welding method that wave soldering connects the following steps are included:
Step 1: the metal material welded will be needed to be placed on welding equipment, pass through signal collection and analysis module pair
The thickness of raw material, welding condition are detected, and the information that will test is transmitted to center regulation module；
Step 2: center regulation module selects suitable power to carry out according to the information control transmitting module of acquisition and analysis
Ultrasonic wave radiation, and exported；
Step 3: high-frequency electrical energy is converted to according to the output power inverting model of ultrasonic wave and exports frequency with ultrasonic wave
The consistent mechanical oscillation of rate；The tracking of resonance frequency carries out automatic frequency tracking using PI controller；
Step 4: while regulation module control drive module in center is to drive to inverting model, the fortune of promotion system
Row；
Step 5: the launch time of ultrasonic wave, transducing time and welding situation are carried out using Fuzzy Cluster Analysis Algorithm
Detection, the information that will test are transmitted to center regulation module, and center regulation module uses the LBFA algorithm based on cloud computing system
Realize the analysis and regulation to each module.
Further, using Fuzzy Cluster Analysis Algorithm the step of are as follows:
(1) data standard makees the following two kinds transformation to original index data matrix Xnm:
1. translating the transformation of * standard deviation:
Wherein: i=1,2 ... n；K=1,2 ..., m；
2. translating * range transformation:
Wherein k=1,2 ..., m；
(2) fuzzy similarity matrix is established
Number of applications area method is found out be classified object between similarity degree similarity factor rij, establish fuzzy similarity matrix R=
(rij), quantity area method calculation formula are as follows:
Wherein
(3) fuzzy equivalence relation matrix is established
By fuzzy similarity matrix, transitive closure t (R)=R* of R is sought with quadratic method, asks R2=RR, R4=R2R2 ... ... warp
After n times convolution operation, R2n=Rn is obtained；Then R*=Rn is required fuzzy equivalent matrix；
(4) fuzzy clustering
According to fuzzy equivalent matrix, different confidence levels is taken, obtains different classification situations, as value constantly reduces,
Gradually classify from fine to coarse, obtains cluster result.
Further, the tracking of resonance frequency carries out automatic frequency tracking method using PI controller are as follows: according to given value x
(t) control deviation, the deviation of given value x (t) and actual value y (t) are constituted with actual value y (t) are as follows:
E (t)=x (t)-y (t)；
Deviation is constituted into control amount by the linear combination of ratio, integral, controlled device is controlled, PI control is become
System, control law are as follows:
In formula: Kp:PI controller ratio system；The time of integration coefficient of Ti:Pl controller；
The integral coefficient of Ki=KP/Ti:PI controller；Wherein reflect to proportional component composition the deviation letter of system
Number.
Further, center regulation module realizes analysis and the tune to each module using the LBFA algorithm based on cloud computing system
Control includes:
(1) position (X, Y) of the center of gravity G of the current phase space projection method of cloud computing system is calculated；
(2) current load value, load vector (a, b) are received；
(3) it calculates and is located at the Δ LB value that system after present load is assigned in optimal phase subspace interior joint in phase space；
(4) it chooses the smallest node of current Δ LB and carries out task distribution, the system load balancing degree LB after guaranteeing distribution is most
It is small；
(5) system position of centre of gravity current in phase space is recalculated, according to formula
(6) new position of centre of gravity is directly calculated using the load value of this sub-distribution；
(7) (2) are returned to and starts new assigning process.
Utilization of the invention is designed to provide a kind of Metal Material Welding method described in realize based on ultrasonic bonding
The Metal Material Welding control system based on ultrasonic bonding, the Metal Material Welding based on ultrasonic bonding controls system
System includes:
Inverting model is connect by conducting wire with center regulation module, for the conversion of energy in the course of work, by high-frequency electrical
Mechanical oscillation can be converted to；
Drive module is connect with center regulation module, for driving the ultrasonic wave transducer in inverting model by stroke cylinder
Device vibrational system moves up and down, and provides driving force；
Welding module is connect with center regulation module, after being placed in equipment for metal material, is welded to metal material
It connects；
Transmitting module is connect with center regulation module, for emitting ultrasonic wave；
Signal collection and analysis module with center regulation module connect, be used for raw material, driving intensity, emissive porwer and
The acquisition and analysis of frequency progress data；
Center regulation module respectively with drive module, welding module, transmitting module, inverting model, signal collection and analysis
Module connection is worked normally for controlling modules.
Utilization of the invention is designed to provide a kind of Metal Material Welding method based on ultrasonic bonding described in application
Information data processing terminal.
In conclusion advantages of the present invention and good effect are as follows:
(1) present invention meets central regulator control system in magnanimity node by using LBFA algorithm to central regulator control system
Under the conditions of real time resources dispatch task, greatly improve the fitness of each system and degrees of coordination, effectively facilitated the steady of system
Qualitative, operational and reliability.
(2) data are analyzed by using fuzzy clustering, creates a variety of matrixes, simplify the analysis to complex data
Method reduces error rate, improves welding quality.
(3) ultrasonic wave transducer resonance frequency is tracked by using PI controller, makes ultrasonic wave transducer resonance frequency
Tracking be consistent completely with vibration frequency, substantially increase the efficiency of welding.
Detailed description of the invention
Fig. 1 is the connection signal of the Metal Material Welding control system provided in an embodiment of the present invention based on ultrasonic bonding
Figure；
In figure: 1, center regulation module；2, drive module；3, welding module；4, transmitting module；5, inverting model；6, believe
Number acquisition and analysis module.
Fig. 2 is the Metal Material Welding method flow diagram provided in an embodiment of the present invention based on ultrasonic bonding.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Application principle of the invention is described in detail with reference to the accompanying drawing.
As shown in Figure 1, ultrasonic welding system provided in an embodiment of the present invention includes: center regulation module 1, drive module
2, welding module 3, transmitting module 4, inverting model 5, signal collection and analysis module 6.
Inverting model 5 is connect by conducting wire with center regulation module 1, and the conversion of energy in the course of work is mainly used for, will
High-frequency electrical energy is converted to mechanical oscillation；
Drive module 2 is connect with center regulation module 1, is mainly used for driving by stroke cylinder super in inverting model 5
Acoustic wave transducer vibrational system moves up and down, and provides driving force, the operation of promotion system for system；
Welding module 3 is connect with center regulation module 1, is mainly used for after suitable metal material is placed in equipment, right
Metal material is welded；
Transmitting module 4 is connect with center regulation module 1, is mainly used for emitting ultrasonic wave；
Signal collection and analysis module 6 is connect with center regulation module 1, is mainly used for raw material, driving intensity, transmitting
Intensity and frequency carry out the acquisition and analysis of data；
Center regulation module 1 respectively with drive module 2, welding module 3, transmitting module 4, inverting model 5, signal acquisition with
Analysis module 6 connects, and works normally for controlling modules.
As shown in Fig. 2, the Metal Material Welding method provided in an embodiment of the present invention based on ultrasonic bonding mainly includes
Following steps:
S201: the metal material welded will be needed to be placed on welding equipment, by signal collection and analysis module to original
The thickness of material, welding condition are detected, and the information that will test is transmitted to center regulation module；
S202: center regulation module selects suitable power to be surpassed according to the information control transmitting module of acquisition and analysis
Sound wave radiation, and exported；
S203: high-frequency electrical energy is converted to and ultrasonic output frequency according to the output power inverting model of ultrasonic wave
Consistent mechanical oscillation；The tracking of resonance frequency carries out automatic frequency tracking using PI controller；
S204: while regulation module control drive module in center is to drive to inverting model, the operation of promotion system；
S205: the launch time of ultrasonic wave, transducing time and welding situation are examined using Fuzzy Cluster Analysis Algorithm
It surveys, the information that will test is transmitted to center regulation module, and center regulation module is real using the LBFA algorithm based on cloud computing system
Now to the analysis and regulation of each module.
Further, using Fuzzy Cluster Analysis Algorithm the step of are as follows:
(1) data standard makees the following two kinds transformation to original index data matrix Xnm:
Translate the transformation of * standard deviation:
Wherein: i=1,2 ... n；K=1,2 ..., m；
Translate * range transformation:
Wherein k=1,2 ..., m；
(2) fuzzy similarity matrix is established
Number of applications area method is found out be classified object between similarity degree similarity factor rij, establish fuzzy similarity matrix R=
(rij), quantity area method calculation formula are as follows:
Wherein
(3) fuzzy equivalence relation matrix is established
By fuzzy similarity matrix, transitive closure t (R)=R* of R is sought with quadratic method, asks R2=RR, R4=R2R2 ... ... warp
After n times convolution operation, R2n=Rn is obtained；Then R*=Rn is required fuzzy equivalent matrix；
(4) fuzzy clustering
According to fuzzy equivalent matrix, different confidence levels is taken, obtains different classification situations, as value constantly reduces,
Gradually classify from fine to coarse, obtains cluster result.
Further, the tracking of resonance frequency carries out automatic frequency tracking method using PI controller are as follows: according to given value x
(t) control deviation, the deviation of given value x (t) and actual value y (t) are constituted with actual value y (t) are as follows:
E (t)=x (t)-y (t)；
Deviation is constituted into control amount by the linear combination of ratio, integral, controlled device is controlled, PI control is become
System, control law are as follows:
In formula: Kp:PI controller ratio system；The time of integration coefficient of Ti:Pl controller；
The integral coefficient of Ki=KP/Ti:PI controller；Wherein reflect to proportional component composition the deviation letter of system
Number.
Further, center regulation module realizes analysis and the tune to each module using the LBFA algorithm based on cloud computing system
Control includes:
(1) position (X, Y) of the center of gravity G of the current phase space projection method of cloud computing system is calculated；
(2) current load value, load vector (a, b) are received；
(3) it calculates and is located at the Δ LB value that system after present load is assigned in optimal phase subspace interior joint in phase space；
(4) it chooses the smallest node of current Δ LB and carries out task distribution, the system load balancing degree LB after guaranteeing distribution is most
It is small；
(5) system position of centre of gravity current in phase space is recalculated, according to formula
(6) new position of centre of gravity is directly calculated using the load value of this sub-distribution；
(1) (7) return to the new assigning process of (2) beginning.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (6)
1. a kind of Metal Material Welding method based on ultrasonic bonding, which is characterized in that the gold based on ultrasonic bonding
Belong to material welding method the following steps are included:
Step 1: the metal material welded will be needed to be placed on welding equipment, by signal collection and analysis module to former material
The thickness of material, welding condition are detected, and the information that will test is transmitted to center regulation module；
Step 2: center regulation module selects suitable power to carry out ultrasound according to the information control transmitting module of acquisition and analysis
Wave radiation, and exported；
Step 3: high-frequency electrical energy is converted to and ultrasonic output frequency one according to the output power inverting model of ultrasonic wave
The mechanical oscillation of cause；The tracking of resonance frequency carries out automatic frequency tracking using PI controller；
Step 4: while regulation module control drive module in center is to drive to inverting model, the operation of promotion system；
Step 5: detecting the launch time of ultrasonic wave, transducing time and welding situation using Fuzzy Cluster Analysis Algorithm,
The information that will test is transmitted to central regulation module, and center regulation module is using the LBFA algorithm realization pair based on cloud computing system
The analysis and regulation of each module.
2. the Metal Material Welding method based on ultrasonic bonding as described in claim 1, which is characterized in that using fuzzy poly-
The step of alanysis algorithm are as follows:
(1) data standard makees the following two kinds transformation to original index data matrix Xnm:
1. translating the transformation of * standard deviation:
Wherein: i=1,2 ... n；K=1,2 ..., m；
2. translating * range transformation:
Wherein k=1,2 ..., m；
(2) fuzzy similarity matrix is established
Number of applications area method is found out be classified object between similarity degree similarity factor rij, establish fuzzy similarity matrix R=(rij),
Quantity area method calculation formula are as follows:
Wherein
(3) fuzzy equivalence relation matrix is established
By fuzzy similarity matrix, transitive closure t (R)=R* of R is sought with quadratic method, seeks R2=RR, R4=R2R2 ... ... is through n times
After convolution operation, R2n=Rn is obtained；Then R*=Rn is required fuzzy equivalent matrix；
(4) fuzzy clustering
According to fuzzy equivalent matrix, different confidence levels is taken, obtains different classification situations, as value constantly reduces, by thin
To slightly gradually classifying, cluster result is obtained.
3. the Metal Material Welding method based on ultrasonic bonding as described in claim 1, which is characterized in that resonance frequency
Tracking carries out automatic frequency tracking method using PI controller are as follows: it is inclined to constitute control according to given value x (t) and actual value y (t)
The deviation of difference, given value x (t) and actual value y (t) are as follows:
E (t)=x (t)-y (t)；
Deviation is constituted into control amount by the linear combination of ratio, integral, controlled device is controlled, PI control is become, is controlled
System rule are as follows:
In formula: Kp:PI controller ratio system；The time of integration coefficient of Ti:Pl controller；
The integral coefficient of Ki=KP/Ti:PI controller；Wherein reflect to proportional component composition the deviation signal of system.
4. the Metal Material Welding method based on ultrasonic bonding as described in claim 1, which is characterized in that center regulation mould
Block is realized using the LBFA algorithm based on cloud computing system
(1) position (X, Y) of the center of gravity G of the current phase space projection method of cloud computing system is calculated；
(2) current load value, load vector (a, b) are received；
(3) it calculates and is located at the Δ LB value that system after present load is assigned in optimal phase subspace interior joint in phase space；
(4) it chooses the smallest node of current Δ LB and carries out task distribution, the system load balancing degree LB after guaranteeing distribution is minimum；
(5) system position of centre of gravity current in phase space is recalculated, according to formula
(6) new position of centre of gravity is directly calculated using the load value of this sub-distribution；
(7) (2) are returned to and starts new assigning process.
5. a kind of Metal Material Welding method realized described in claim 1 based on ultrasonic bonding based on ultrasonic bonding
Metal Material Welding control system, which is characterized in that the Metal Material Welding control system based on ultrasonic bonding includes:
Inverting model is connect by conducting wire with center regulation module, and for the conversion of energy in the course of work, high-frequency electrical energy is turned
It is changed to mechanical oscillation；
Drive module is connect with center regulation module, for driving the ultrasonic transducer in inverting model to shake by stroke cylinder
Dynamic system moves up and down, and provides driving force；
Welding module is connect with center regulation module, after being placed in equipment for metal material, is welded to metal material；
Transmitting module is connect with center regulation module, for emitting ultrasonic wave；
Signal collection and analysis module is connect with center regulation module, for raw material, driving intensity, emissive porwer and frequency
Carry out the acquisition and analysis of data；
Center regulation module respectively with drive module, welding module, transmitting module, inverting model, signal collection and analysis module
Connection is worked normally for controlling modules.
6. a kind of information using the Metal Material Welding method described in Claims 1 to 4 any one based on ultrasonic bonding
Data processing terminal.
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Cited By (2)
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| CN111596544A (en) * | 2020-07-22 | 2020-08-28 | 四川大学 | Fuzzy PI-based frequency tracking search method |
| CN112394636A (en) * | 2020-11-04 | 2021-02-23 | 珠海泰坦新动力电子有限公司 | Ultrasonic welder and control method thereof |
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| CN111596544A (en) * | 2020-07-22 | 2020-08-28 | 四川大学 | Fuzzy PI-based frequency tracking search method |
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| CN112394636A (en) * | 2020-11-04 | 2021-02-23 | 珠海泰坦新动力电子有限公司 | Ultrasonic welder and control method thereof |
| CN112394636B (en) * | 2020-11-04 | 2024-04-19 | 珠海泰坦新动力电子有限公司 | Ultrasonic welder and control method thereof |
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