A continuous processing system and method for copper-aluminum composite shunt

Abstract

The application discloses a copper-aluminum composite shunt continuous processing system and method, and belongs to the technical field of processing.The copper edge of a copper-aluminum composite strip is aligned and compressed with one edge of a resistive alloy strip to form an alloy whole, a welding gap is recognized through a first image of the alloy whole, a welding position coordinate path is obtained according to the welding gap, an electronic beam welding path is automatically provided for an electronic beam welding device, the accuracy of the electronic beam welding position is improved, the welding quality is ensured, and adaptive electronic beam welding parameters are intelligently optimized for welding according to thickness and material information on the welding position coordinate path, so that the welding quality and welding efficiency are further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of processing, in particular to a copper-aluminum composite shunt continuous processing system and method. BACKGROUND

[0002] The current shunt can accurately measure the current, guarantee the safety and stability of the system, and therefore plays a key role in electronic, electric power and industrial systems.

[0003] The shunt is basically made by continuously welding different material strips, so the welding quality directly affects the quality of the shunt, and the welding parameters, such as the acceleration voltage of the electron beam, determine the welding quality, so setting appropriate welding parameters can improve the welding quality.

[0004] However, in the prior art, welding parameters are usually set manually based on experience, which has poor adaptability and cannot guarantee good welding quality. SUMMARY

[0005] To solve the technical problems in the prior art, the present application provides a copper-aluminum composite shunt continuous processing method, comprising the following steps:

[0006] Pretreating the metal strip, which includes a copper strip, an aluminum strip and a resistance alloy strip;

[0007] Welding one side of the copper strip to one side of the aluminum strip to obtain a copper-aluminum composite strip;

[0008] Welding the copper edge of the copper-aluminum composite strip to one side of the resistance alloy strip by electron beam welding, specifically:

[0009] Aligning and pressing the copper edge of the copper-aluminum composite strip and one side of the resistance alloy strip as an alloy whole, and placing it fixedly on the welding platform in the electron beam welding equipment;

[0010] Scanning to obtain a first image of the alloy whole, identifying the welding gap in the first image, and obtaining the welding position coordinate path according to the welding gap;

[0011] Obtaining the thickness and material information of the metal strip on the welding position coordinate path, and optimizing the electron beam welding parameters;

[0012] According to the welding position coordinate path and the optimized electron beam welding parameters, performing electron beam welding.

[0013] Further, the pretreatment of the metal strip specifically includes eliminating the initial bending of the metal strip and performing surface deoxidation treatment on the metal strip.

[0014] The resistance alloy strip is a manganese-copper alloy strip.

[0015] Further, the initial bending of the metal strip is eliminated, specifically, the metal strip is processed through a multi-roller straightening machine, and the pressure of the straightening roller in the multi-roller straightening machine is adjusted according to the material and thickness of the metal strip.

[0016] The metal strip is subjected to surface deoxidation treatment, specifically, the metal strip is processed through a vacuum plasma cleaning device, and the parameters of the plasma cleaning device are set according to the material of the metal strip.

[0017] Further, the welding gap is identified in the first image, specifically:

[0018] The welding platform region and the alloy overall region are distinguished from the first image through a pre-trained first deep learning model;

[0019] A plurality of first edge lines are obtained from the alloy overall region through an edge algorithm;

[0020] The copper region and the resistance alloy region are distinguished from the alloy overall region through a pre-trained second deep learning model;

[0021] Second edge lines that are simultaneously in the copper region and the resistance alloy region are selected from the first edge lines as the welding gap.

[0022] Further, the welding position coordinate path is obtained according to the welding gap, specifically:

[0023] The welding width of the welding gap is obtained, and the welding width is used as a unit coordinate size to establish a coordinate system on the welding platform;

[0024] A plurality of welding coordinates on the welding gap are obtained according to the coordinate system, and a welding position coordinate path is formed according to the welding coordinates.

[0025] Further, the material information includes the thermal conductivity k1 and the melting point t1 of the copper edge material, and the thermal conductivity k2 and the melting point t2 of the resistance alloy material.

[0026] Further, the electronic beam welding parameters are optimized, including optimizing the acceleration voltage, specifically:

[0027] ;

[0028] ;

[0029] ;

[0030] ;

[0031] Wherein, V represents the optimized acceleration voltage, V1 represents the acceleration voltage for the copper edge material, V2 represents the acceleration voltage for the resistance alloy material, V0 represents the preset reference voltage, which is set according to the thickness on the welding position coordinate path, and k represents the average thermal conductivity, , which is a preset thermal conductivity compensation coefficient.

[0032] Further, the optimized electron beam welding parameters further include optimizing the electron gun working distance, specifically:

[0033] The average energy conversion efficiency and the equivalent thermal conductivity are obtained:

[0034]

[0035]

[0036] The optimized electron gun working distance d is obtained by the third pre-trained deep learning model according to the average energy conversion efficiency, the equivalent thermal conductivity, the optimized acceleration voltage, and the thickness on the welding position coordinate path.

[0037] Wherein, , which is the average energy conversion efficiency, , which is the energy conversion efficiency of the copper edge material, representing the absorption capacity of the electron beam energy, , which is the energy conversion efficiency of the resistance alloy material, and k3 represents the equivalent thermal conductivity.

[0038] Further, the optimized electron beam welding parameters further include optimizing the electron gun welding speed, specifically:

[0039]

[0040] Wherein, v represents the optimized electron gun welding speed, v0 represents the preset initial electron gun welding speed, d0 represents the preset initial electron gun working distance, and a represents the preset correction factor.

[0041] The application also provides a continuous processing system for a copper-aluminum composite shunt, comprising:

[0042] A pretreatment unit is configured to pretreat a metal strip, which includes a copper strip, an aluminum strip, and a resistance alloy strip.

[0043] A first welding unit is configured to weld one edge of the copper strip with one edge of the aluminum strip to obtain a copper-aluminum composite strip.

[0044] A second welding unit is configured to weld the copper edge of the copper-aluminum composite strip with one edge of the resistance alloy strip by an electron beam welding method, specifically: ​​​

[0045] aligning and pressing the copper edge of the copper-aluminum composite strip with one edge of the resistance alloy strip as an alloy whole, and placing the alloy whole fixedly on a welding platform in an electron beam welding device;

[0046] scanning to obtain a first image of the alloy whole, identifying a welding gap in the first image, and obtaining a welding position coordinate path according to the welding gap;

[0047] obtaining thickness and material information on the welding position coordinate path, and optimizing electron beam welding parameters;

[0048] carrying out electron beam welding according to the welding position coordinate path and the optimized electron beam welding parameters.

[0049] Compared with the prior art, the present application has the following advantages:

[0050] After the copper edge of the copper-aluminum composite strip is aligned and pressed with one edge of the resistance alloy strip as an alloy whole, the welding gap is identified from the first image of the alloy whole, and the welding position coordinate path is obtained according to the welding gap, thereby automatically providing the welding path of the electron beam for the electron beam welding device, improving the accuracy of the electron beam welding position, ensuring the welding quality, and intelligently optimizing the adaptive electron beam welding parameters according to the thickness and material information on the welding position coordinate path to carry out welding, thereby further improving the welding quality and welding efficiency.

[0051] One edge of the copper strip to be welded with the aluminum strip is processed into an outward convex dovetail structure to form a dovetail copper edge, and one edge of the aluminum strip to be welded with the copper strip is processed into an inward concave dovetail structure to form a dovetail aluminum edge, the outward convex dovetail structure and the inward concave dovetail structure are mutually embedded to obtain a dovetail embedded structure, the combination of welding and mechanical structure improves the firmness of the copper strip and the aluminum strip, and ensures the quality of the final shunt product.

[0052] By distinguishing the copper region and the resistance alloy region from the alloy whole region, the welding gap is identified from the plurality of first edge lines obtained by the edge algorithm according to the material region, thereby ensuring the accuracy of the welding position coordinate path and further ensuring the accuracy of the welding position.

[0053] By optimizing the acceleration voltage, the balance of the penetration depth, the welding efficiency and the quality are achieved; according to the optimized acceleration voltage, the electron gun working distance is optimized, by matching the acceleration voltage and the electron gun working distance, the adaptability of the electron gun working distance is improved, the focusing performance of the electron beam is significantly improved while the electron beam deviation or jitter is inhibited, and the welding quality is further improved; according to the optimized acceleration voltage and the optimized electron gun working distance, the electron gun welding speed is optimized, the dynamic balance of energy input, heat distribution and production efficiency is realized, the welding quality is ensured while the welding efficiency is improved.

[0054] Solve the current application of the shunt parts by full copper electrode to use copper aluminum structure, copper and aluminum material difficult to weld connection problem, so that the shunt parts from pure copper end electrode piece into copper aluminum end electrode, realize the copper aluminum end electrode of shunt has excellent welding effect with aluminum row wire. BRIEF DESCRIPTION OF DRAWINGS

[0055] The accompanying drawings, which are incorporated into and form part of the specification, illustrate an embodiment consistent with the present application and, together with the description, serve to explain the principles of the application.

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative labor.

[0057] Figure 1 is a flow chart of a copper-aluminum composite shunt continuous processing method of the present application;

[0058] Figure 2 is a flow chart of step S3 in the copper-aluminum composite shunt continuous processing method of the present application;

[0059] Figure 3 is a front view structural diagram of a copper-aluminum composite shunt of the present application;

[0060] Figure 4 is a side view structural diagram of a copper-aluminum composite shunt of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0062] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between the components in a certain posture (as shown in the drawings), if the certain posture changes, the directional indications also change accordingly.

[0063] In addition, the description related to "first", "second" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can be explicitly or implicitly included at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the realization of ordinary skilled in the art, when the combination of technical solutions appears contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist, also not within the protection scope required by the present application.

[0064] Embodiment one

[0065] Referring to Figure 1 and Figure 2 The present application provides a continuous processing method of copper-aluminum composite shunt, specifically comprising the following steps:

[0066] S1, pretreating the metal strip, wherein the metal strip comprises copper strip, aluminum strip and resistance alloy strip;

[0067] S2, welding one side of the copper strip with one side of the aluminum strip to obtain a copper-aluminum composite strip;

[0068] S3, welding the copper side of the copper-aluminum composite strip with one side of the resistance alloy strip by electron beam welding.

[0069] S1, pretreating the metal strip, wherein the metal strip comprises copper strip, aluminum strip and resistance alloy strip.

[0070] In step S1, the metal strip is pretreated, specifically:

[0071] S11, eliminating the initial bending of the metal strip;

[0072] S12, surface deoxidizing treatment of the metal strip.

[0073] In step S1, the resistance alloy strip is a manganese-copper alloy strip.

[0074] In step S11, the initial bending of the metal strip is eliminated, specifically:

[0075] The metal strip is processed through a multi-roll straightening machine, and the pressure of the straightening roll in the multi-roll straightening machine is adjusted according to the material and thickness of the metal strip.

[0076] Step S11 eliminates the initial deformation such as wave shape and warping generated during transportation or storage, ensures the fitting accuracy of subsequent processing, reduces stress concentration caused by bending, and prevents cracking or size deviation during processing.

[0077] In step S12, the metal strip is subjected to surface deoxidation treatment, specifically:

[0078] The metal strip is treated by a vacuum plasma cleaning device, and the parameters of the plasma cleaning device are set according to the material of the metal strip.

[0079] Step S12 uses plasma to remove metal surface oxides through physical bombardment (ion kinetic energy) and chemical reaction (gas reduction / decomposition), and there is no chemical solution residue. After the oxidation treatment, the interface bonding strength during subsequent compounding or welding is improved, and the decrease in conductivity or peeling of the composite layer caused by the oxidation layer is avoided.

[0080] S2, one side of the copper strip is welded with one side of the aluminum strip to obtain a copper-aluminum composite strip.

[0081] In step S2, the copper strip is welded with one side of the aluminum strip, specifically:

[0082] S21, one side of the copper strip welded with the aluminum strip is processed into an outward convex dovetail structure to form a dovetail copper edge, and one side of the aluminum strip welded with the copper strip is processed into an inward concave dovetail structure to form a dovetail aluminum edge, and the outward convex dovetail structure and the inward concave dovetail structure are mutually embedded;

[0083] S22, the dovetail copper edge and the dovetail aluminum edge are embedded and welded to obtain a copper-aluminum composite strip.

[0084] The copper strip welded with the aluminum strip is processed into an outward convex dovetail structure to form a dovetail copper edge, and the aluminum strip welded with the copper strip is processed into an inward concave dovetail structure to form a dovetail aluminum edge, and the outward convex dovetail structure and the inward concave dovetail structure are mutually embedded to obtain a dovetail embedded structure. Through the combination of welding and mechanical structure, the firmness of the copper strip and the aluminum strip is improved, and the quality of the final flow divider product is ensured.

[0085] As shown in Figure 4 The outward convex dovetail structure and the inward concave dovetail structure are mutually embedded by the inclined surfaces of the outward convex dovetail structure and the inward concave dovetail structure.

[0086] It should be noted that the number of inward concave dovetail structures and the number of outward convex dovetail structures are not limited.

[0087] S3, the copper edge of the copper-aluminum composite strip is welded with one side of the resistance alloy strip by electron beam welding.

[0088] In step S3, the copper edge of the copper-aluminum composite strip is welded with one side of the resistance alloy strip by electron beam welding, specifically:

[0089] S31, align and press the copper edge of the copper-aluminum composite strip with one edge of the resistance alloy strip as an alloy whole, and fix the alloy whole on a welding platform in an electron beam welding device;

[0090] S32, scan to obtain a first image of the alloy whole, identify a welding gap in the first image, and obtain a welding position coordinate path according to the welding gap;

[0091] S33, obtain thickness and material information of the metal strip on the welding position coordinate path, and optimize electron beam welding parameters, the electron beam welding parameters including electron gun working distance, moving speed, acceleration voltage, and vacuum pumping rate;

[0092] S34, perform electron beam welding according to the welding position coordinate path and the optimized electron beam welding parameters.

[0093] In step S32, the first image includes an upper surface image of the alloy whole and an upper surface image of the welding platform.

[0094] In step S32, the welding gap is identified in the first image, specifically:

[0095] S3211, distinguish a welding platform region and an alloy whole region from the first image through a pre-trained first deep learning model;

[0096] S3212, obtain a plurality of first edge lines from the alloy whole region through an edge algorithm;

[0097] S3213, distinguish a copper region and a resistance alloy region from the alloy whole region through a pre-trained second deep learning model;

[0098] S3214, screen a second edge line from the first edge lines as the welding gap, the second edge line being located in both the copper region and the resistance alloy region.

[0099] The scheme distinguishes the copper region and the resistance alloy region from the alloy whole region, screens and identifies the welding gap from the plurality of first edge lines obtained through the edge algorithm according to the material regions, thereby ensuring the accuracy of the welding position coordinate path and further ensuring the accuracy of the welding position.

[0100] In step S32, the welding position coordinate path is obtained according to the welding gap, specifically:

[0101] S3221, obtain a welding width of the welding gap, and establish a coordinate system on the welding platform with the welding width as a unit coordinate size;

[0102] S3222, obtaining welding coordinates on the plurality of welding gaps according to the coordinate system, and forming a welding position coordinate path according to the welding coordinates.

[0103] In step S33, the material information includes the thermal conductivity and melting point of the copper edge material and the thermal conductivity and melting point of the resistance alloy material.

[0104] In step S33, the optimized electron beam welding parameters include optimizing the acceleration voltage, specifically:

[0105] ;

[0106] ;

[0107] ;

[0108] ;

[0109] wherein V represents the optimized acceleration voltage, V1 represents the acceleration voltage for the copper edge material, V2 represents the acceleration voltage for the resistance alloy material, V0 represents the preset reference voltage, which is set according to the thickness on the welding position coordinate path, k1 represents the thermal conductivity of the copper edge material, k2 represents the thermal conductivity of the resistance alloy material, and k represents the average thermal conductivity, represents the preset thermal conductivity compensation coefficient.

[0110] It should be noted that if V is greater than the maximum acceleration voltage Vmax of the used electron beam welding equipment, then V=Vmax, and if V is less than the minimum acceleration voltage Vmin of the used electron beam welding equipment, then V=Vmin.

[0111] In electron beam welding, too high an acceleration voltage can lead to increased equipment cost and X-ray shielding requirements, and insufficient acceleration voltage can affect penetration, so the present scheme optimizes the acceleration voltage to balance the penetration, improve welding efficiency and quality.

[0112] In step S33, the optimized electron beam welding parameters also include optimizing the electron gun working distance, specifically:

[0113] Obtain the average energy conversion efficiency and the equivalent thermal conductivity:

[0114] ;

[0115] ;

[0116] The optimized electron gun working distance d is obtained by the third pre-trained deep learning model according to the average energy conversion efficiency, the equivalent thermal conductivity, the optimized accelerating voltage and the thickness on the coordinate path of the welding position, and the electron gun working distance is the vertical height from the electron gun to the interface where the coordinate path of the welding position is located.

[0117] wherein, is the average energy conversion efficiency, is the energy conversion efficiency of the copper edge material, representing the absorption capacity of the electron beam energy, is the energy conversion efficiency of the resistance alloy material, k3 represents the equivalent thermal conductivity, k1 represents the thermal conductivity of the copper edge material, k2 represents the thermal conductivity of the resistance alloy material, t1 represents the melting point of the copper edge material, and t2 represents the melting point of the resistance alloy material.

[0118] The third deep learning model uses a large number of different welding test data with qualified welding quality as a training set, including a single material, corresponding energy conversion efficiency, thermal conductivity, accelerating voltage, welding thickness and corresponding electron gun working distance, the input parameters include energy conversion efficiency, thermal conductivity, accelerating voltage and welding thickness, and the output parameter is the electron gun working distance.

[0119] In electron beam welding, if the electron gun working distance is too large, the probability of collision between the electron beam and residual gas molecules during transmission will increase, causing scattering phenomenon and reducing energy concentration, which will reduce the weld penetration and increase the weld width, and even cause incomplete penetration defects, and too small beam spot diameter or too high focusing current will easily cause electron beam deviation or jitter, affecting the welding precision.

[0120] In the present scheme, the electron gun working distance is optimized according to the optimized accelerating voltage, the accelerating voltage and the electron gun working distance are matched, the adaptability of the electron gun working distance is improved, the focusing performance of the electron beam is significantly improved, the electron beam deviation or jitter is inhibited, and the welding quality is further improved.

[0121] In step S33, the optimized electron beam welding parameters further include optimizing the electron gun welding speed, specifically:

[0122] ;

[0123] wherein, v represents the optimized electron gun welding speed, v0 represents the preset initial electron gun welding speed, V represents the optimized accelerating voltage, V0 represents the preset reference voltage, d0 represents the preset initial electron gun working distance, d represents the optimized electron gun working distance, and a represents the preset correction factor.

[0124] In electron beam welding, the electron gun welding speed is too large to reduce the energy input per unit length, resulting in insufficient penetration and reducing the weld forming quality, and too small to cause heat accumulation and thus lead to thin plate burning or workpiece deformation due to local overheating.

[0125] In the present scheme, the electron gun welding speed is optimized according to the optimized accelerating voltage and the optimized electron gun working distance, realizing the dynamic balance of energy input, heat distribution and production efficiency, and ensuring the welding quality while improving the welding efficiency.

[0126] The accelerating voltage affects the kinetic energy of the electron beam, and when the voltage increases, the energy input to the workpiece per unit time increases, and in the present scheme, the optimized accelerating voltage is used as the numerator, and when the accelerating voltage increases, the welding speed is increased to shorten the energy action time, so as to avoid excessive energy leading to overheating of the molten pool.

[0127] When the electron gun working distance increases, the electron beam spot diameter linearly increases, resulting in the area of the beam spot expanding at a square speed, and the electron beam energy density is inversely proportional to the electron gun working distance, in order to maintain the energy density required for penetration, the speed needs to be reduced to prolong the energy action time, therefore, the optimized electron gun working distance is used as the denominator in the present scheme.

[0128] It should be noted that if v is greater than the maximum moving speed vmax of the electron gun of the electron beam welding equipment used, then v=vmax, and if v is less than the minimum moving speed vmin of the electron gun of the electron beam welding equipment used, then v=vmin.

[0129] Example two

[0130] The present application also provides a copper-aluminum composite shunt continuous processing system, which specifically comprises:

[0131] A pretreatment unit is configured to pretreat a metal strip, which includes a copper strip, an aluminum strip and a resistance alloy strip.

[0132] A first welding unit is configured to weld one side of the copper strip with one side of the aluminum strip to obtain a copper-aluminum composite strip.

[0133] A second welding unit is configured to weld the copper side of the copper-aluminum composite strip with one side of the resistance alloy strip by an electron beam welding method, specifically as follows:

[0134] The copper side of the copper-aluminum composite strip is aligned and pressed with one side of the resistance alloy strip as an alloy whole, and is fixedly placed on a welding platform in an electron beam welding device.

[0135] A first image of the alloy whole is scanned and obtained, and a welding gap is identified in the first image, and a welding position coordinate path is obtained according to the welding gap.

[0136] Obtaining thickness and material information on the welding position coordinate path, and optimizing the electron beam welding parameters;

[0137] According to the welding position coordinate path and the optimized electron beam welding parameters, electron beam welding is performed.

[0138] The metal strip includes copper strip, aluminum strip and resistance alloy strip; the resistance alloy strip is manganese-copper alloy strip.

[0139] The metal strip is pretreated, specifically including: eliminating the initial bending of the metal strip and performing surface deoxidation treatment on the metal strip.

[0140] The initial bending of the metal strip is eliminated, specifically:

[0141] The metal strip is processed through a multi-roll straightening machine, and the pressure of the straightening roll in the multi-roll straightening machine is adjusted according to the material and thickness of the metal strip.

[0142] The surface deoxidation treatment on the metal strip is specifically:

[0143] The metal strip is processed through a vacuum plasma cleaning device, and the parameters of the plasma cleaning device are set according to the material of the metal strip.

[0144] The one side of the copper strip is welded with the one side of the aluminum strip, specifically:

[0145] One side of the copper strip welded with the aluminum strip is processed into an outward convex dovetail structure to form a dovetail copper edge, and one side of the aluminum strip welded with the copper strip is processed into an inward concave dovetail structure to form a dovetail aluminum edge, the outward convex dovetail structure and the inward concave dovetail structure are embedded with each other;

[0146] The dovetail copper edge and the dovetail aluminum edge are embedded and welded to obtain a copper-aluminum composite strip.

[0147] The copper edge of the copper-aluminum composite strip is welded with one side of the resistance alloy strip by electron beam welding, specifically:

[0148] The copper edge of the copper-aluminum composite strip and one side of the resistance alloy strip are aligned and pressed as an alloy whole, and are fixedly placed on a welding platform in an electron beam welding device;

[0149] A first image of the alloy whole is scanned and obtained, and a welding gap is identified in the first image, and a welding position coordinate path is obtained according to the welding gap.

[0150] Obtain thickness and material information on a welding position coordinate path, optimize electron beam welding parameters, including electron gun working distance, moving speed, accelerating voltage and vacuum pumping rate;

[0151] According to the welding position coordinate path and the optimized electron beam welding parameters, electron beam welding is performed.

[0152] The first image includes an upper surface image of the entire alloy and an upper surface image of the welding platform.

[0153] The welding gap is identified in the first image, specifically:

[0154] The welding platform region and the entire alloy region are distinguished from the first image by a pre-trained first deep learning model;

[0155] A plurality of first edge lines are obtained from the entire alloy region by an edge algorithm;

[0156] The copper region and the resistance alloy region are distinguished from the entire alloy region by a pre-trained second deep learning model;

[0157] The second edge line that is on both the copper region and the resistance alloy region is selected from the first edge line as the welding gap.

[0158] The welding position coordinate path is obtained according to the welding gap, specifically:

[0159] The welding width of the welding gap is obtained, and the welding width is used as a unit coordinate size to establish a coordinate system on the welding platform;

[0160] The welding coordinates on a plurality of welding gaps are obtained according to the coordinate system, and the welding position coordinate path is formed according to the welding coordinates.

[0161] The material information includes the thermal conductivity and melting point of the copper edge material, and the thermal conductivity and melting point of the resistance alloy material.

[0162] The optimized electron beam welding parameters include optimized accelerating voltage, optimized electron gun working distance and optimized electron gun welding speed, and the specific manner is consistent with the above method embodiment.

[0163] Embodiment three

[0164] As shown in Figure 3 and Figure 4 The present application provides a copper-aluminum composite shunt, which is processed by the above-mentioned copper-aluminum composite shunt continuous processing method.

[0165] The copper-aluminum composite shunt includes a copper strip, an aluminum strip and a resistance alloy strip.

[0166] One side of the copper strip is welded to one side of the aluminum strip, and the other side of the copper strip is welded to one side of the resistance alloy strip.

[0167] One side of the copper strip welded to the aluminum strip is an outward convex dovetail structure, and one side of the aluminum strip welded to the copper strip is an inward concave dovetail structure.

[0168] The outward convex dovetail structure and the inward concave dovetail structure are mutually embedded by the inclined surfaces of the outward convex dovetail structure and the inward concave dovetail structure.

[0169] It should be noted that the number of inward concave dovetail structures and the number of outward convex dovetail structures are not limited.

[0170] Embodiment Four

[0171] The application further provides an electronic device, comprising: a processor, a sending device, an input device, an output device and a memory, the processor can be realized by a general CPU (Central Processing Unit), a microprocessor, an application specific integrated circuit or one or more integrated circuits, etc., and is used for executing a related program to realize the technical scheme provided by the embodiments of the application, the memory can be realized by a ROM (ReadOnly Memory), a static storage device, a dynamic storage device or a RAM (Random Access Memory), etc., and is used for storing a computer program code, the computer program code comprises computer instructions, and when the processor executes the computer instructions, the electronic device executes the method in any one of the possible implementation manners described above.

[0172] Embodiment Five

[0173] The application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program.

[0174] The application has the following beneficial effects:

[0175] The application identifies the welding gap through the first image of the alloy whole after aligning and pressing the copper edge of the copper-aluminum composite strip and one edge of the resistance alloy strip as the alloy whole, obtains the welding position coordinate path according to the welding gap, automatically provides the welding path of the electron beam for the electron beam welding equipment, improves the accuracy of the electron beam welding position, guarantees the welding quality, intelligently optimizes the adaptive electron beam welding parameters according to the thickness and material information on the welding position coordinate path to carry out welding, and further improves the welding quality and welding efficiency.

[0176] One edge of the copper strip welded with the aluminum strip is processed into an outward convex dovetail structure to form a dovetail copper edge, and one edge of the aluminum strip welded with the copper strip is processed into an inward concave dovetail structure to form a dovetail aluminum edge, the outward convex dovetail structure and the inward concave dovetail structure are mutually embedded to obtain a dovetail embedded structure, the combination of welding and mechanical structure improves the firmness of the copper strip and the aluminum strip, and guarantees the quality of the final flow divider product.

[0177] The copper region and the resistance alloy region are distinguished from the alloy whole region, the welding gap is identified from the plurality of first edge lines obtained through the edge algorithm according to the material region, so as to guarantee the accuracy of the welding position coordinate path, and further guarantee the accuracy of the welding position.

[0178] The acceleration voltage is optimized to balance the penetration, improve the welding efficiency and quality; the working distance of the electron gun is optimized according to the optimized acceleration voltage, the matching of the acceleration voltage and the working distance of the electron gun improves the adaptability of the working distance of the electron gun, significantly improves the focusing performance of the electron beam while suppressing the deviation or jitter of the electron beam, and further improves the welding quality; the welding speed of the electron gun is optimized according to the optimized acceleration voltage and the optimized working distance of the electron gun, the dynamic balance of energy input, heat distribution and production efficiency is realized, the welding quality is guaranteed, and the welding efficiency is improved.

[0179] The application solves the problem that the copper material and the aluminum material are difficult to be welded and connected after the current applied flow divider parts are converted from full-copper electrodes to copper-aluminum structures, the flow divider parts are converted from pure copper end electrodes to copper-aluminum end electrodes, and the copper-aluminum end electrodes of the flow divider have excellent welding effect with aluminum row wires.

[0180] In the description of the specification, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0181] In addition, each of the function units in the embodiments of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit. When the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes multiple instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program storage media.

[0182] The above description is only a specific implementation of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A continuous processing method of a copper-aluminum composite shunt, characterized by, The method comprises the following steps: preprocessing metal strips, the metal strips including copper strips, aluminum strips and resistance alloy strips; welding one side of the copper strips with one side of the aluminum strips to obtain copper-aluminum composite strips; welding the copper side of the copper-aluminum composite strips with one side of the resistance alloy strips by electron beam welding, specifically: aligning and pressing the copper side of the copper-aluminum composite strips with one side of the resistance alloy strips as an alloy whole, and placing the alloy whole on a welding platform in an electron beam welding device; scanning to obtain a first image of the alloy whole, identifying a welding gap in the first image, and obtaining a welding position coordinate path according to the welding gap; obtaining the thickness and material information of the metal strips on the welding position coordinate path, and optimizing the electron beam welding parameters; the material information includes the thermal conductivity k1 and melting point t1 of the copper side material, and the thermal conductivity k2 and melting point t2 of the resistance alloy material; the optimized electron beam welding parameters include an optimized acceleration voltage, specifically: ； ； ； ； wherein V represents an optimized acceleration voltage, V1 represents an acceleration voltage for a copper side material, V2 represents an acceleration voltage for a resistance alloy material, V0 represents a preset reference voltage, which is set according to the thickness on the welding position coordinate path, and k represents an average thermal conductivity, represents a preset thermal conductivity compensation coefficient; carrying out electron beam welding according to the welding position coordinate path and the optimized electron beam welding parameters.

2. The continuous processing method of copper-aluminum composite shunt according to claim 1, characterized in that, The preprocessing of the metal strips specifically includes eliminating the initial bending of the metal strips and performing surface deoxidation treatment on the metal strips; the resistance alloy strips are manganese-copper alloy strips.

3. The continuous process for making copper-aluminum composite shunt according to claim 2, wherein, The elimination of the initial bending of the metal strips specifically includes passing the metal strips through a multi-roll straightening machine, and adjusting the pressure of the straightening rollers in the multi-roll straightening machine according to the material and thickness of the metal strips; the surface deoxidation treatment on the metal strips specifically includes passing the metal strips through a vacuum plasma cleaning device, and setting the parameters of the plasma cleaning device according to the material of the metal strips.

4. The continuous process for making copper-aluminum composite shunt of claim 1 wherein, The identification of the welding gap in the first image specifically includes: distinguishing the welding platform region and the alloy whole region from the first image through a pre-trained first deep learning model; obtaining a plurality of first edge lines from the alloy whole region through an edge algorithm; distinguishing the copper region and the resistance alloy region from the alloy whole region through a pre-trained second deep learning model; selecting second edge lines that are on both the copper region and the resistance alloy region from the first edge lines as the welding gap.

5. The continuous process for making copper-aluminum composite shunt of claim 1 wherein, The obtaining of the welding position coordinate path according to the welding gap specifically includes: establishing a coordinate system on the welding platform with the welding width of the welding gap as a unit coordinate size; obtaining welding coordinates on a plurality of welding gaps according to the coordinate system, and forming a welding position coordinate path according to the welding coordinates.

6. The continuous process for making copper-aluminum composite shunt of claim 5 wherein, The optimization of the electron beam welding parameters also includes optimizing the electron gun working distance, specifically: obtaining the average energy conversion efficiency and the equivalent thermal conductivity: ； ； obtaining the optimized electron gun working distance d through a pre-trained third deep learning model according to the average energy conversion efficiency, the equivalent thermal conductivity, the optimized acceleration voltage and the thickness on the welding position coordinate path; wherein, represents the average energy conversion efficiency, represents the energy conversion efficiency of the copper border material, and represents the absorption capacity for electron beam energy, represents the energy conversion efficiency of the resistive alloy material, and k3represents the equivalent thermal conductivity.

7. The continuous process for making copper-aluminum composite shunt of claim 6 wherein, The optimization of the electron beam welding parameters also includes optimizing the electron gun welding speed, specifically: ； Wherein, v represents the optimized electron gun welding speed, v0 represents the preset initial electron gun welding speed, d0 represents the preset initial electron gun working distance, and a represents the preset correction factor.

8. A continuous processing system of a copper-aluminum composite shunt, which applies the continuous processing method of a copper-aluminum composite shunt according to any one of claims 1 to 7, characterized by, The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance alloy composite strip. The application relates to a method for manufacturing a copper-aluminum-resistance

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