CN109558698A - System is determined based on the electric pulse auxiliary welding electric pulse waveform of data mining technology - Google Patents

System is determined based on the electric pulse auxiliary welding electric pulse waveform of data mining technology Download PDF

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CN109558698A
CN109558698A CN201910047351.0A CN201910047351A CN109558698A CN 109558698 A CN109558698 A CN 109558698A CN 201910047351 A CN201910047351 A CN 201910047351A CN 109558698 A CN109558698 A CN 109558698A
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electric pulse
pulse waveform
grain size
module
characteristic quantity
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CN109558698B (en
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顾邦平
王萍
胡雄
庄佳奕
王思淇
黄敏
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Shanghai Maritime University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08Feature extraction
    • G06F2218/10Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching

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Abstract

Determine that system includes grain size test module, master system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse waveform acquisition module based on the electric pulse auxiliary welding electric pulse waveform of data mining technology;The master system includes that electric pulse waveform database module, electric pulse waveform characteristic quantity acquisition module, electric pulse waveform characteristic quantity data library module, grain size variable quantity database module and electric pulse waveform determine method module.The present invention has the advantages that can determine suitable electric pulse auxiliary welding electric pulse waveform and obtains preferable experiment effect.

Description

System is determined based on the electric pulse auxiliary welding electric pulse waveform of data mining technology
Technical field
The present invention relates to welding technology fields, refer in particular to a kind of electric pulse auxiliary welding electric pulse based on data mining technology Waveform determines system.
Technical background
Welding is an important material forming process, is widely used in the neck such as aerospace, ocean engineering, automobile Domain.However the effect due to welding high temperature, cause welded seam area microstructure coarse, to reduce the comprehensive of welding workpiece Can, the microstructure for how refining welding workpiece welding region has become an important subject of welding technology field.
Electric pulse assists welding technique that can directly act on process of setting generation, to realize the beginning manufactured in material The purpose that just process of setting is controlled.Capacitor energy storage generate high energy electric pulse basic principle be first to capacitor into Row charging energy-storing, then discharges to load, to generate biggish pulse current.The characteristic quantity of electric pulse waveform is directly determined Determine to be injected into the energy in metallic solution, has important influence to the process of crystallization, if it is possible to disclose electric pulse waveform Characteristic quantity to the mechanism of action of crystallization process, suitable electric pulse waveform can be chosen to control liquid alloy on this basis Microstructure grain size after solidification, to achieve the purpose that improve material comprehensive performance.However there has been no documents to disclose at present Action rule of the characteristic quantity to Fine Texture of Material grain size of electric pulse waveform was reported, so determining the mistake of electric pulse waveform Journey is more by experience, so that the effect of electric pulse auxiliary welding technique and unstable, limits electric pulse auxiliary welding skill The popularization and application of art.Therefore, it is necessary to the characteristic quantity of electric pulse waveform to the action rule of Fine Texture of Material grain size It conducts a research, assists the determination of welding electric pulse waveform to provide foundation for electric pulse, and form electric pulse auxiliary welding electric pulse The determination method of waveform, the electric pulse auxiliary welding electric pulse waveform constructed on this basis based on data mining technology determine system System.
For the characteristic quantity of the electric pulse waveform problem unclear to the action rule of Fine Texture of Material grain size, originally Invention proposes that a kind of electric pulse auxiliary welding electric pulse waveform based on data mining technology determines system, i.e., in experimentation Obtained magnanimity electric pulse waveform and its corresponding Fine Texture of Material grain size number discloses electric pulse waveform according to being analyzed Characteristic quantity provides foundation on this basis to the action rule of Fine Texture of Material grain size for the determination of electric pulse waveform, and The electric pulse auxiliary welding electric pulse waveform constructed based on data mining technology determines system, assists welding technique for electric pulse It promotes and provides power-assisted with application.
Summary of the invention
Characteristic quantity in order to solve electric pulse waveform is unclear to the action rule of Fine Texture of Material grain size to ask Topic, the present invention proposes that a kind of electric pulse auxiliary welding electric pulse waveform based on data mining technology determines system, i.e., to experiment Magnanimity electric pulse waveform obtained in process and its corresponding Fine Texture of Material grain size number disclose electric pulse according to being analyzed The characteristic quantity of waveform to the action rule of Fine Texture of Material grain size, on this basis for the determination of electric pulse waveform provide according to According to, and building determines system based on the electric pulse auxiliary welding electric pulse waveform of data mining technology, so that power-assisted electric pulse is auxiliary Help the promotion and application of welding technique.
Based on data mining technology electric pulse auxiliary welding electric pulse waveform determine system include grain size test module, Master system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse waveform acquisition module;Institute The master system stated includes electric pulse waveform database module, electric pulse waveform characteristic quantity acquisition module, electric pulse waveform spy Sign amount database module, grain size variable quantity database module and electric pulse waveform determine method module;The host computer system System is attached by the wireless transport module and the lower computer system, and then is controlled the electric pulse and generated electricity Road module generates electric pulse;The electricity that the electric pulse waveform acquisition module acquisition electric pulse generation circuit module generates Pulse, and by the storage of electric pulse data in the electric pulse waveform database module into master system;The grain size is surveyed Examination module testing obtains grain size when material is welded when only welding with electric pulse auxiliary respectively, and by the grain size of material The storage of variable quantity data is in the grain size variable quantity database module into master system;The electric pulse waveform database The module storage collected electric pulse waveform of electric pulse waveform acquisition module;The electric pulse waveform characteristic quantity obtains Module obtains the characteristic quantity of the electric pulse waveform;The electric pulse waveform characteristic quantity data library module storage electricity Impulse waveform characteristic quantity;The electric pulse waveform determines the determination method of method module storage electric pulse waveform.
The process of grain size test module test material grain size is as follows in the present invention: using modern material test analysis Technology obtains grain size when material is welded when only welding with electric pulse auxiliary respectively.It is auxiliary in directly welding and electric pulse When helping welding, keeps welding condition constant, change electric pulse waveform, only for studying electric pulse waveform characteristic quantity to material The affecting laws of grain size;The grain size variable quantity refers to that material is welded when only welding with electric pulse auxiliary respectively When grain size difference.
Further, the electric pulse waveform characteristic quantity data of electric pulse waveform characteristic quantity data library module storage and institute The grain size variable quantity data for the grain size variable quantity database module storage stated have one-to-one relationship.Of the invention specific In implementation process, in directly welding and electric pulse auxiliary welding, keeps welding condition constant, only change electric pulse Shape, for studying influence of the electric pulse waveform characteristic quantity to material grains degree, i.e. the electric pulse waveform database module is deposited The grain size variable quantity data that the electric pulse waveform of storage and the grain size variable quantity database module store have an a pair Should be related to, that is, the electric pulse waveform characteristic quantity data library module storage electric pulse waveform characteristic quantity data with it is described Grain size variable quantity database module storage grain size variable quantity data also there is one-to-one relationship.When determining one kind After electric pulse waveform, start to carry out material electric pulse auxiliary welding, after electric pulse assists welding process, test obtains material The grain size of material, and the difference of grain size when material is welded when only welding with electric pulse auxiliary respectively is calculated, together When extract the characteristic quantity of electric pulse waveform at this time, electric pulse waveform characteristic quantity data and grain size variable quantity data are deposited respectively It stores up in the electric pulse waveform characteristic quantity data library module and grain size variable quantity database module in master system, such The electric pulse waveform characteristic quantity data and grain size variable quantity data arrived has one-to-one relationship, is follow-up study electric pulse Shape characteristic quantity provides mass data to the action rule of the grain size variable quantity of material.
Further, the electric pulse waveform characteristic quantity includes peak value of pulse A, pulse width d and the rate that pulse rises k.The energy peak of first pulse of electric pulse waveform is maximum, and it is also the most obvious for acting on material internal microstructure, Affecting laws of the characteristic quantity to material internal microstructure grain size of first pulse are mainly studied in the present invention.The arteries and veins It rushes to the rate risen and refers to that first pulse reaches peak value, the i.e. slope of impulse waveform with speed how soon.It grinds in the present invention The rate k that the pulse studied carefully rises is directed to the rate that first pulse rises to peak value.
Further, the grain size of the material is indicated using the average line length of crystal grain.
Further, the electric pulse waveform determines that method module includes that electric pulse waveform determines that the first evaluation means store Module and electric pulse waveform determine the second evaluation means memory module.
Further, the electric pulse waveform determines that the first evaluation means memory module includes that peak value of pulse becomes grain size The rate that the affecting laws of change amount, pulse width rise the affecting laws of grain size variable quantity, pulse is to grain size variable quantity Affecting laws and determine electric pulse auxiliary welding electric pulse waveform the first evaluation means;The electric pulse assists welding First evaluation means of electric pulse waveform refer to choosing and obtaining in the suitable electric pulse auxiliary welding electric pulse waveform of determination Electric pulse waveform characteristic quantity in electric pulse waveform characteristic quantity mobility scale corresponding to larger grain size variable quantity.To material into It can be refined when its microstructure is directly welded relative to material when the auxiliary welding of row electric pulse, i.e., material is by electric arteries and veins It can become smaller when its microstructure is directly welded relative to material after punching auxiliary soldering.Material in the welding process, leads to Extra pulse electric current can act on Material Coagulating Process generation, and the dendrite that material crystalline is formed can be rushed broken, form new forming core Core, the size of microstructure can be reduced, that is, achieve the purpose that refine crystal grain, so that realizing improves material comprehensive performance Purpose.Grain size variable quantity is mainly disclosed herein with the changing rule of each electric pulse waveform characteristic quantity, such as electric arteries and veins It is larger to rush wave character amount grain size variable quantity within the scope of what, such as electric pulse waveform characteristic quantity crystal grain within the scope of what It is smaller to spend variable quantity, at this moment in the suitable electric pulse auxiliary welding electric pulse waveform of determination, chooses the larger grain size of acquisition and becomes Electric pulse waveform characteristic quantity in electric pulse waveform characteristic quantity mobility scale corresponding to change amount.
Further, the electric pulse waveform determines that the second evaluation means memory module includes grain size variable quantity and electric arteries and veins Rush the function model module between wave character amount, the partial derivative module to function model solution single feature amount and determining electricity Second evaluation means of pulse auxiliary welding electric pulse waveform;The function model module is to grain size variable quantity data and three A electric pulse waveform characteristic quantity data is fitted, and obtains the letter between grain size variable quantity and three electric pulse waveform characteristic quantities Exponential model;The partial derivative module solves the partial derivative of single feature amount to function model respectively, and the partial derivative is bigger, Show that influence of this feature amount for grain size variable quantity is bigger;The of the described determination electric pulse auxiliary welding electric pulse waveform Two evaluation means refer to that the partial derivative is bigger, show that influence of this feature amount to grain size variable quantity is bigger, in determination First using the big characteristic quantity of partial derivative as starting point when suitable electric pulse waveform.
Further, the determination method of the electric pulse waveform is, firstly, the electric pulse determined with the second evaluation means Based on shape characteristic quantity is to the influence degree of grain size variable quantity, by the maximum characteristic quantity of influence degree to grain size variable quantity As the first Consideration, the selection range of characteristic quantity is then further determined that according to the first evaluation means;Secondly, being commented with second It, will be to grain size variable quantity based on the electric pulse waveform characteristic quantity that valence means determine is to the influence degree of grain size variable quantity Influence degree is only second to the characteristic quantity of the first Consideration as the second Consideration, then further according to the first evaluation means Determine the selection range of characteristic quantity;Then, the electric pulse waveform characteristic quantity determined with the second evaluation means is to grain size variable quantity Influence degree based on, using the smallest characteristic quantity of the influence degree to grain size variable quantity as third Consideration, then The selection range of characteristic quantity is further determined that according to the first evaluation means;Finally, in the selection range of above three characteristic quantity Specific feature numerical quantity is chosen, required electric pulse waveform is obtained.It is chosen in the selection range of above three characteristic quantity Specific feature numerical quantity, adjusts the parameter of electric pulse generation circuit, obtains required electric pulse waveform, when adjusting electric pulse It, can be by the choosing as the characteristic quantity of third Consideration when electric pulse waveform required for the parameter of generation circuit is unable to get Range is taken to expand, it, can be by the characteristic quantity as the second Consideration if being still unable to get required electric pulse waveform Selection range expand, to obtain required electric pulse waveform.In addition it is also possible to pass through the member of replacement electric pulse generation circuit The mode of device expands the range of choice of circuit parameter, to obtain required electric pulse waveform.
Specifically, the electric pulse auxiliary welding electric pulse waveform using proposed by the present invention based on data mining technology is true Determine system and determine that the process of electric pulse waveform is as follows:
(1) the electric pulse auxiliary welding electric pulse waveform constructed based on data mining technology determines system.Building includes crystalline substance Testing graininess module, master system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse The electric pulse auxiliary welding electric pulse waveform based on data mining technology of shape acquisition module determines system;It is wrapped in master system Include electric pulse waveform database module, electric pulse waveform characteristic quantity obtains module, electric pulse waveform characteristic quantity data library module, crystalline substance Granularity variable quantity database module and electric pulse waveform determine method module.
(2) connection of the modules of system is determined based on the electric pulse auxiliary welding electric pulse waveform of data mining technology Relationship and function.Master system is attached by wireless transport module and lower computer system, to control electric pulse production Raw circuit module generates electric pulse;Electric pulse waveform acquisition module acquires the electric pulse that electric pulse generation circuit module generates, and By the storage of electric pulse data in the electric pulse waveform database module into master system;Grain size test module tests to obtain Grain size when material is welded when only welding with electric pulse auxiliary respectively, and the grain size variable quantity data of material are stored In grain size variable quantity database module into master system;Electric pulse waveform database module storage electric pulse waveform is adopted Collect the collected electric pulse waveform of module;Electric pulse waveform characteristic quantity obtains the characteristic quantity that module obtains electric pulse waveform;Electric arteries and veins Rush wave character amount database module storage electric pulse waveform characteristic quantity;Electric pulse waveform determines that method module stores electric pulse The determination method of shape.
Beneficial effects of the present invention are as follows:
1, the electric pulse auxiliary welding electric pulse waveform proposed by the present invention based on data mining technology determines system with sea Based on measuring data, electric pulse waveform characteristic quantity can be disclosed to the action rule of degree of grain refinement, determined on this basis Electric pulse waveform can obtain ideal grain refining effect.
2, system is determined using the electric pulse auxiliary welding electric pulse waveform proposed by the present invention based on data mining technology It when determining electric pulse waveform, is controlled by master system, reduces the workload of operator, improve the effect of experiment Rate.
3, system is determined using the electric pulse auxiliary welding electric pulse waveform proposed by the present invention based on data mining technology When determining electric pulse waveform, master system connects lower computer system by wireless transport module, to control electric pulse generation Circuit module can be improved the safety of electric pulse auxiliary Welding experiment.
4, the electric pulse auxiliary welding electric pulse waveform proposed by the present invention based on data mining technology determine system be with Based on mass data, it is ensured that obtained electric pulse waveform characteristic quantity be to the action rule of grain size variable quantity it is reliable, It is effective for ensuring that the determining electric pulse waveform of the system proposed through the invention carries out experiment, and can be obtained preferably Experiment effect.
Detailed description of the invention
Fig. 1 determines system schematic based on the electric pulse auxiliary welding electric pulse waveform of data mining technology.
The module diagram that Fig. 2 master system includes.
Fig. 3 electric pulse waveform determines the first evaluation means memory module schematic diagram.
Fig. 4 electric pulse waveform determines the second evaluation means memory module schematic diagram.
Fig. 5 electric pulse waveform characteristic quantity schematic diagram.
Specific embodiment
Referring to attached drawing, the present invention is further illustrated:
Based on data mining technology electric pulse auxiliary welding electric pulse waveform determine system include grain size test module, Master system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse waveform acquisition module;Institute The master system stated includes electric pulse waveform database module, electric pulse waveform characteristic quantity acquisition module, electric pulse waveform spy Sign amount database module, grain size variable quantity database module and electric pulse waveform determine method module;The host computer system System is attached by the wireless transport module and the lower computer system, and then is controlled the electric pulse and generated electricity Road module generates electric pulse;The electricity that the electric pulse waveform acquisition module acquisition electric pulse generation circuit module generates Pulse, and by the storage of electric pulse data in the electric pulse waveform database module into master system;The grain size is surveyed Examination module testing obtains grain size when material is welded when only welding with electric pulse auxiliary respectively, and by the grain size of material The storage of variable quantity data is in the grain size variable quantity database module into master system;The electric pulse waveform database The module storage collected electric pulse waveform of electric pulse waveform acquisition module;The electric pulse waveform characteristic quantity obtains Module obtains the characteristic quantity of the electric pulse waveform;The electric pulse waveform characteristic quantity data library module storage electricity Impulse waveform characteristic quantity;The electric pulse waveform determines the determination method of method module storage electric pulse waveform.
The process of grain size test module test material grain size is as follows in the present invention: using modern material test analysis Technology obtains grain size when material is welded when only welding with electric pulse auxiliary respectively.It is auxiliary in directly welding and electric pulse When helping welding, keeps welding condition constant, change electric pulse waveform, only for studying electric pulse waveform characteristic quantity to material The affecting laws of grain size;The grain size variable quantity refers to that material is welded when only welding with electric pulse auxiliary respectively When grain size difference.
Further, the electric pulse waveform characteristic quantity data of electric pulse waveform characteristic quantity data library module storage and institute The grain size variable quantity data for the grain size variable quantity database module storage stated have one-to-one relationship.Of the invention specific In implementation process, in directly welding and electric pulse auxiliary welding, keeps welding condition constant, only change electric pulse Shape, for studying influence of the electric pulse waveform characteristic quantity to material grains degree, i.e. the electric pulse waveform database module is deposited The grain size variable quantity data that the electric pulse waveform of storage and the grain size variable quantity database module store have an a pair Should be related to, that is, the electric pulse waveform characteristic quantity data library module storage electric pulse waveform characteristic quantity data with it is described Grain size variable quantity database module storage grain size variable quantity data also there is one-to-one relationship.When determining one kind After electric pulse waveform, start to carry out material electric pulse auxiliary welding, after electric pulse assists welding process, test obtains material The grain size of material, and the difference of grain size when material is welded when only welding with electric pulse auxiliary respectively is calculated, together When extract the characteristic quantity of electric pulse waveform at this time, electric pulse waveform characteristic quantity data and grain size variable quantity data are deposited respectively It stores up in the electric pulse waveform characteristic quantity data library module and grain size variable quantity database module in master system, such The electric pulse waveform characteristic quantity data and grain size variable quantity data arrived has one-to-one relationship, is follow-up study electric pulse Shape characteristic quantity provides mass data to the action rule of the grain size variable quantity of material.
Further, the electric pulse waveform characteristic quantity includes peak value of pulse A, pulse width d and the rate that pulse rises k.The energy peak of first pulse of electric pulse waveform is maximum, and it is also the most obvious for acting on material internal microstructure, Affecting laws of the characteristic quantity to material internal microstructure grain size of first pulse are mainly studied in the present invention.The arteries and veins It rushes to the rate risen and refers to that first pulse reaches peak value, the i.e. slope of impulse waveform with speed how soon.It grinds in the present invention The rate k that the pulse studied carefully rises is directed to the rate that first pulse rises to peak value.
Further, the grain size of the material is indicated using the average line length of crystal grain.
Further, the electric pulse waveform determines that method module includes that electric pulse waveform determines that the first evaluation means store Module and electric pulse waveform determine the second evaluation means memory module.
Further, the electric pulse waveform determines that the first evaluation means memory module includes that peak value of pulse becomes grain size The rate that the affecting laws of change amount, pulse width rise the affecting laws of grain size variable quantity, pulse is to grain size variable quantity Affecting laws and determine electric pulse auxiliary welding electric pulse waveform the first evaluation means;The electric pulse assists welding First evaluation means of electric pulse waveform refer to choosing and obtaining in the suitable electric pulse auxiliary welding electric pulse waveform of determination Electric pulse waveform characteristic quantity in electric pulse waveform characteristic quantity mobility scale corresponding to larger grain size variable quantity.To material into It can be refined when its microstructure is directly welded relative to material when the auxiliary welding of row electric pulse, i.e., material is by electric arteries and veins It can become smaller when its microstructure is directly welded relative to material after punching auxiliary soldering.Material in the welding process, leads to Extra pulse electric current can act on Material Coagulating Process generation, and the dendrite that material crystalline is formed can be rushed broken, form new forming core Core, the size of microstructure can be reduced, that is, achieve the purpose that refine crystal grain, so that realizing improves material comprehensive performance Purpose.Grain size variable quantity is mainly disclosed herein with the changing rule of each electric pulse waveform characteristic quantity, such as electric arteries and veins It is larger to rush wave character amount grain size variable quantity within the scope of what, such as electric pulse waveform characteristic quantity crystal grain within the scope of what It is smaller to spend variable quantity, at this moment in the suitable electric pulse auxiliary welding electric pulse waveform of determination, chooses the larger grain size of acquisition and becomes Electric pulse waveform characteristic quantity in electric pulse waveform characteristic quantity mobility scale corresponding to change amount.
Further, the electric pulse waveform determines that the second evaluation means memory module includes grain size variable quantity and electric arteries and veins Rush the function model module between wave character amount, the partial derivative module to function model solution single feature amount and determining electricity Second evaluation means of pulse auxiliary welding electric pulse waveform;The function model module is to grain size variable quantity data and three A electric pulse waveform characteristic quantity data is fitted, and obtains the letter between grain size variable quantity and three electric pulse waveform characteristic quantities Exponential model;The partial derivative module solves the partial derivative of single feature amount to function model respectively, and the partial derivative is bigger, Show that influence of this feature amount for grain size variable quantity is bigger;The of the described determination electric pulse auxiliary welding electric pulse waveform Two evaluation means refer to that the partial derivative is bigger, show that influence of this feature amount to grain size variable quantity is bigger, in determination First using the big characteristic quantity of partial derivative as starting point when suitable electric pulse waveform.
Further, the determination method of the electric pulse waveform is, firstly, the electric pulse determined with the second evaluation means Based on shape characteristic quantity is to the influence degree of grain size variable quantity, by the maximum characteristic quantity of influence degree to grain size variable quantity As the first Consideration, the selection range of characteristic quantity is then further determined that according to the first evaluation means;Secondly, being commented with second It, will be to grain size variable quantity based on the electric pulse waveform characteristic quantity that valence means determine is to the influence degree of grain size variable quantity Influence degree is only second to the characteristic quantity of the first Consideration as the second Consideration, then further according to the first evaluation means Determine the selection range of characteristic quantity;Then, the electric pulse waveform characteristic quantity determined with the second evaluation means is to grain size variable quantity Influence degree based on, using the smallest characteristic quantity of the influence degree to grain size variable quantity as third Consideration, then The selection range of characteristic quantity is further determined that according to the first evaluation means;Finally, in the selection range of above three characteristic quantity Specific feature numerical quantity is chosen, required electric pulse waveform is obtained.It is chosen in the selection range of above three characteristic quantity Specific feature numerical quantity, adjusts the parameter of electric pulse generation circuit, obtains required electric pulse waveform, when adjusting electric pulse It, can be by the choosing as the characteristic quantity of third Consideration when electric pulse waveform required for the parameter of generation circuit is unable to get Range is taken to expand, it, can be by the characteristic quantity as the second Consideration if being still unable to get required electric pulse waveform Selection range expand, to obtain required electric pulse waveform.In addition it is also possible to pass through the member of replacement electric pulse generation circuit The mode of device expands the range of choice of circuit parameter, to obtain required electric pulse waveform.
Specifically, the electric pulse auxiliary welding electric pulse waveform using proposed by the present invention based on data mining technology is true Determine system and determine that the process of electric pulse waveform is as follows:
(1) the electric pulse auxiliary welding electric pulse waveform constructed based on data mining technology determines system.Building includes crystalline substance Testing graininess module, master system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse The electric pulse auxiliary welding electric pulse waveform based on data mining technology of shape acquisition module determines system;It is wrapped in master system Include electric pulse waveform database module, electric pulse waveform characteristic quantity obtains module, electric pulse waveform characteristic quantity data library module, crystalline substance Granularity variable quantity database module and electric pulse waveform determine method module.
(2) connection of the modules of system is determined based on the electric pulse auxiliary welding electric pulse waveform of data mining technology Relationship and function.Master system is attached by wireless transport module and lower computer system, to control electric pulse production Raw circuit module generates electric pulse;Electric pulse waveform acquisition module acquires the electric pulse that electric pulse generation circuit module generates, and By the storage of electric pulse data in the electric pulse waveform database module into master system;Grain size test module tests to obtain Grain size when material is welded when only welding with electric pulse auxiliary respectively, and the grain size variable quantity data of material are stored In grain size variable quantity database module into master system;Electric pulse waveform database module storage electric pulse waveform is adopted Collect the collected electric pulse waveform of module;Electric pulse waveform characteristic quantity obtains the characteristic quantity that module obtains electric pulse waveform;Electric arteries and veins Rush wave character amount database module storage electric pulse waveform characteristic quantity;Electric pulse waveform determines that method module stores electric pulse The determination method of shape.
Content described in this specification embodiment is only enumerating to the way of realization of inventive concept, protection of the invention Range should not be construed as being limited to the specific forms stated in the embodiments, and protection scope of the present invention is also and in art technology Personnel conceive according to the present invention it is conceivable that equivalent technologies mean.

Claims (8)

1. based on data mining technology electric pulse auxiliary welding electric pulse waveform determine system include grain size test module, on Position machine system, wireless transport module, lower computer system, electric pulse generation circuit module and electric pulse waveform acquisition module;It is described Master system include electric pulse waveform database module, electric pulse waveform characteristic quantity obtain module, electric pulse waveform feature Amount database module, grain size variable quantity database module and electric pulse waveform determine method module;The master system It is attached by the wireless transport module and the lower computer system, and then controls the electric pulse generation circuit Module generates electric pulse;The electric arteries and veins that the electric pulse waveform acquisition module acquisition electric pulse generation circuit module generates Punching, and by the storage of electric pulse data in the electric pulse waveform database module into master system;The grain size test Module testing obtains grain size when material is welded when only welding with electric pulse auxiliary respectively, and the grain size of material is become The storage of change amount data is in the grain size variable quantity database module into master system;The electric pulse waveform database mould The block storage collected electric pulse waveform of electric pulse waveform acquisition module;The electric pulse waveform characteristic quantity obtains mould Block obtains the characteristic quantity of the electric pulse waveform;The electric pulse waveform characteristic quantity data library module storage electric arteries and veins Rush wave character amount;The electric pulse waveform determines the determination method of method module storage electric pulse waveform.
2. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the electric pulse waveform characteristic quantity data of the electric pulse waveform characteristic quantity data library module storage and institute The grain size variable quantity data for the grain size variable quantity database module storage stated have one-to-one relationship.
3. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the electric pulse waveform characteristic quantity includes peak value of pulse A, pulse width d and the rate k that pulse rises.
4. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the grain size of the material is indicated using the average line length of crystal grain.
5. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the electric pulse waveform determines that method module includes that electric pulse waveform determines that the first evaluation means store Module and electric pulse waveform determine the second evaluation means memory module.
6. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the electric pulse waveform determines that the first evaluation means memory module includes that peak value of pulse becomes grain size The rate that the affecting laws of change amount, pulse width rise the affecting laws of grain size variable quantity, pulse is to grain size variable quantity Affecting laws and determine electric pulse auxiliary welding electric pulse waveform the first evaluation means;The electric pulse assists welding First evaluation means of electric pulse waveform refer to choosing and obtaining in the suitable electric pulse auxiliary welding electric pulse waveform of determination Electric pulse waveform characteristic quantity in electric pulse waveform characteristic quantity mobility scale corresponding to larger grain size variable quantity.
7. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the electric pulse waveform determines that the second evaluation means memory module includes grain size variable quantity and electric arteries and veins Rush the function model module between wave character amount, the partial derivative module to function model solution single feature amount and determining electricity Second evaluation means of pulse auxiliary welding electric pulse waveform;The function model module is to grain size variable quantity data and three A electric pulse waveform characteristic quantity data is fitted, and obtains the letter between grain size variable quantity and three electric pulse waveform characteristic quantities Exponential model;The partial derivative module solves the partial derivative of single feature amount to function model respectively, and the partial derivative is bigger, Show that influence of this feature amount for grain size variable quantity is bigger;The of the described determination electric pulse auxiliary welding electric pulse waveform Two evaluation means refer to that the partial derivative is bigger, show that influence of this feature amount to grain size variable quantity is bigger, in determination First using the big characteristic quantity of partial derivative as starting point when suitable electric pulse waveform.
8. such as realizing that the electric pulse auxiliary welding electric pulse waveform described in claim 1 based on data mining technology determines system System, it is characterised in that: the determination method of the electric pulse waveform is, firstly, the electric pulse determined with the second evaluation means Based on shape characteristic quantity is to the influence degree of grain size variable quantity, by the maximum characteristic quantity of influence degree to grain size variable quantity As the first Consideration, the selection range of characteristic quantity is then further determined that according to the first evaluation means;Secondly, being commented with second It, will be to grain size variable quantity based on the electric pulse waveform characteristic quantity that valence means determine is to the influence degree of grain size variable quantity Influence degree is only second to the characteristic quantity of the first Consideration as the second Consideration, then further according to the first evaluation means Determine the selection range of characteristic quantity;Then, the electric pulse waveform characteristic quantity determined with the second evaluation means is to grain size variable quantity Influence degree based on, using the smallest characteristic quantity of the influence degree to grain size variable quantity as third Consideration, then The selection range of characteristic quantity is further determined that according to the first evaluation means;Finally, in the selection range of above three characteristic quantity Specific feature numerical quantity is chosen, required electric pulse waveform is obtained.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08150515A (en) * 1994-11-24 1996-06-11 Sodick Co Ltd Wire discharge finishing work method and power source for wire discharge finishing work
CN101421069A (en) * 2006-04-13 2009-04-29 林肯环球公司 Metal cored electrode for open root pass welding
CN102500901A (en) * 2011-11-16 2012-06-20 上海交通大学 Composite pulsation spot welding process and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08150515A (en) * 1994-11-24 1996-06-11 Sodick Co Ltd Wire discharge finishing work method and power source for wire discharge finishing work
CN101421069A (en) * 2006-04-13 2009-04-29 林肯环球公司 Metal cored electrode for open root pass welding
CN102500901A (en) * 2011-11-16 2012-06-20 上海交通大学 Composite pulsation spot welding process and system

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