976 results about "Material selection" patented technology

The invention discloses a high-pressure soft water medium treatment and supply system, which belongs to the technical field of seawater desalination treatment, and comprises a multi-dimensional ion detection module for detecting the concentration distribution characteristics of target inhibition ions in original seawater to generate a corresponding coating material selection instruction; the electric field dynamic coupling module captures a termination signal according to the coating material selection instruction; the shock wave generation module starts a main pump to generate fluid shock waves to execute sediment breaking action according to the termination signal; the monitoring module is used for monitoring the finally output softened water ion concentration and reversely calculating the pollution index of the coating surface; and the heat cycle feedback device is used for starting a self-cleaning mode according to the pollution index and transmitting waste heat in the cleaning process to the pump set. The electric field dynamic coupling adsorption and fluid shock wave cooperative treatment technology is adopted, high-efficiency ion capture, dynamic sediment removal and waste heat recycling can be achieved, energy consumption is remarkably reduced, and continuous and stable operation of the system is guaranteed.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention discloses a multi-dimensional multi-physics field coupling analysis platform of a hydrogen fuel cell based on artificial intelligence, and relates to the technical field of hydrogen fuel cells, the platform comprises a user interaction interface module, a multi-physics field model construction module, a data acquisition and preprocessing module, an integration module and an analysis and result output module; an electrochemical reaction model, a temperature field model and a gas and liquid flow model are respectively built through a multi-physical field model building module, the coupling strength among different physical fields is quantified, and the electrochemical reaction model, the temperature field model and the gas and liquid flow model are integrated into a multi-physical field model; physical action parameters such as electrochemical reaction rate, temperature value and the like are associated with time change, spatial distribution and fault conditions, so that the platform can simulate the multi-physical field coupling effect of the hydrogen fuel cell under complex working conditions, and the performance of the fuel cell is analyzed; and a reliable basis is provided for the geometric structure, material selection and operation condition optimization of the fuel cell.

The invention relates to the technical field of bearings, and discloses a ceramic angular contact ball bearing with high bearing capacity, the ceramic angular contact ball bearing comprises an outer ring, an inner ring, a rolling body, a retainer and an oil storage cavity, the outer ring is of a cylindrical structure, and the inner surface of the outer ring is in contact with the rolling body; the inner ring is positioned inside the outer ring, and the outer surface of the inner ring is contacted with the rolling body; and the rolling bodies are a plurality of spherical ceramic elements which are fixed and separated by the retainer. By optimizing the arrangement mode and material selection of the rolling bodies, the bearing has higher bearing capacity and anti-overturning performance under the high-load condition; the heat dissipation through holes are formed in the retainer, so that the heat dissipation performance of the bearing in the running process is remarkably improved, and the bearing failure risk caused by overheating is reduced; through the design of the oil storage cavity and the oil outlet micropores matched with the oil storage cavity, uniform supply of lubricating oil is achieved, and friction loss between the rolling body and the inner ring and the outer ring is reduced.

The invention provides a packaging material intelligent selection method and system based on multi-dimensional data analysis, and relates to the field of material management. Vibration, deformation and temperature and humidity data are collected in real time through an environment sensing module to construct a feature matrix; the data analysis module fuses the historical case library and the logistics task duration to predict the material life, and associates the supply chain inventory to generate residual life evaluation; the decision engine module dynamically distributes cost, safety and environmental protection weights, and combines the supplier credit score to generate a multi-level decision scheme; the execution control module verifies the dimensional tolerance of the material and drives replacement operation, and model calibration is triggered through a 5% deviation threshold value; a humidity sensitive material grading standard and a deformation safety limit value are built in the system, and when the temperature and humidity sudden change exceeds the threshold value, deformation quantity prediction and emergency scheme reconstruction are started; a three-level self-optimization mechanism of environmental perception error, material life error and execution error is established, and closed-loop optimization is realized through sensor calibration, supplier credit recalculation and dynamic adjustment of control parameters.

The invention relates to the technical field of electric field measurement, in particular to a non-contact electric field sensor design method and system, and the method comprises the steps: carrying out the electromagnetic analysis and shielding structure topological optimization based on the environment characteristics of a transformer substation, and generating mechanical design parameters; shielding structure parameters are formed through material selection and electrode optimization, a three-dimensional electromagnetic field simulation model is established, and multi-scene interference simulation and sensitivity verification are carried out; and configuring a temperature compensation circuit and optimizing circuit parameters, performing dynamic response analysis and material matching degree evaluation through a high-frequency material test platform, and finally generating sensor specification parameters. According to the method, the anti-interference performance, the measurement precision and the stability of the sensor are remarkably improved, and the method is suitable for high-precision electric field measurement in a complex electromagnetic environment.

The invention discloses a concrete bridge reinforcement carbon emission calculation method based on a fiber reinforced composite material, and the method comprises the steps: obtaining the carbon emission data and material attribute data of the fiber reinforced composite material, i.e., an FRP material, in a whole life cycle, and building an FRP material database; establishing a bridge building reinforcement information model according to the design model of the concrete bridge and the acquired bridge data, performing static data-driven open-loop semi-entity simulation on the bridge building reinforcement information model, and continuously optimizing and updating the selected FRP material; constructing a carbon emission calculation model of the full life cycle of the bridge reinforcement project based on the FRP material database; and determining the total carbon emission of the concrete bridge reinforcement construction based on a carbon emission calculation model and the optimally selected FRP material. According to the method, the carbon emission of the FRP material in the bridge reinforcement process can be accurately evaluated, the material selection is optimized, the influence on the environment is reduced, the sustainable development is promoted, and the scientificity and accuracy of decision making are improved.

The invention provides experimental equipment and method for simulating filling and sealing of carbon dioxide in a goaf, and the experimental equipment comprises a simulation system, a slurry injection system, a gas injection system, a data acquisition and processing module, a recording, analyzing and displaying module and a data acquisition system. A simulated overlying strata of the simulation system naturally collapses to form a porous medium space model, slurry and carbon dioxide are injected into the porous medium space model through the slurry injection system and the gas injection system, and data acquisition is conducted on the curing process of the carbon dioxide through the data acquisition system; and the data is transmitted to the recording, analyzing and displaying module through the data collecting and processing module. According to the invention, the influence of carbon dioxide on the slurry solidification behavior and the solidification reaction penetration depth can be comprehensively researched, and a scientific basis is provided for optimizing material selection, proportion design and injection process parameters in practical engineering.

The invention relates to the technical field of phase-change energy storage materials, and particularly provides a phase-change energy storage plate and a preparation method thereof.The phase-change energy storage plate comprises a front aluminum plate, a honeycomb core layer made of aluminum materials and a back aluminum plate, the honeycomb core layer is formed by arranging a plurality of hexagonal columns in a matrix mode, each hexagonal column is filled with a phase-change material, and the phase-change material is arranged in the honeycomb core layer; the phase change material is selected from at least one of a graphite-based phase change material and a microcapsule phase change material, and the phase change material is selected from at least one of a graphite-based phase change material and a microcapsule phase change material. The phase change energy storage plate has high heat storage and release rate and thermal conductivity, has high bending strength and is convenient to popularize and apply.

The invention provides an insulating material surface arc ablation resistance simulation method based on magnetohydrodynamics, and belongs to the field of insulating material performance detection. The method comprises the following steps: establishing an insulating material surface arc ablation resistance model; constructing a magnetohydrodynamic control equation set; setting boundary conditions of the model; and iteratively solving the magnetohydrodynamic control equation set through finite element simulation software to obtain a temperature distribution diagram of the insulating material under different arc ablation times, and comparing the temperature distribution diagram with a TGA curve of the insulating material to judge the arc ablation resistance of the insulating material. According to the invention, the power-frequency alternating-current high-voltage arc and the insulating material are used as simulation objects, engineering practice is better met, the surface arc ablation resistance process of any insulating material can be simulated by changing the physical characteristic parameters of the insulating material, and the TGA curve of the material is introduced to judge the arc ablation resistance of the insulating material. And technical support is provided for high-voltage switch equipment insulating material type selection.

The invention relates to a concrete filled steel tube arch bridge node comprehensive evaluation and green design method and an optimization system. The method comprises the steps of node parameter input, mechanical property evaluation, durability evaluation, construction process difficulty evaluation, material suitability evaluation and comprehensive score calculation. The system integrates a comprehensive evaluation module, a construction process simulation module, a self-repairing module and an intelligent monitoring module, and provides omnibearing support. A design method based on green construction and an extreme environment adaptability analysis method are also covered, material selection is optimized through life cycle analysis, and the implementability and long-term stability of node design are ensured. And an artificial intelligence technology is introduced to realize weight adaptive adjustment and optimization suggestion generation, so that the intelligence and flexibility of evaluation are improved. According to the method, node design and construction can be effectively guided, resource allocation is optimized, construction risks are reduced, the service life of nodes is prolonged, and the requirements of green construction and sustainable development are met.

The invention relates to the technical field of virtual reality and indoor and outdoor design, in particular to a VR indoor and outdoor design virtual material selection system based on eye movement tracking. Comprising a VR display and eye movement tracking module used for presenting a virtual design space to a user and capturing eye movement data of the user in real time; the fixation point recognition and target object judgment module is used for calculating real-time fixation point coordinates of the user based on the eye movement data; the dynamic material menu management module is used for outputting the target object information according to the judgment module; the sight line interaction and material rendering module is used for receiving a selection instruction of a user on a specific material in the dynamic material menu through a sight line; and the central processing module is used for coordinating and controlling data streams and execution logics of the modules. By integrating the eye movement tracking technology and the dynamic material menu management, the intelligent material selection interaction driven by the fixation point is realized.

The invention discloses a co-extrusion-molded microporous polyphenyl particle phase change energy storage gradient water stop thermal insulation structural slab, the thermal insulation structural slab sequentially comprises an EVA water stop layer, a strength layer and a thermal insulation layer from outside to inside, the EVA water stop layer is prepared by doping EVA rubber powder and fly ash into cement; the strength layer is made of high-strength cement; the heat preservation layer is made of microporous polystyrene foaming particles, microcapsules containing phase change materials and foaming cement. Through innovative design and material selection, the heat preservation performance of the gradient water stop heat preservation layer structural slab is gradually reduced from inside to outside so as to meet the requirements of different environment temperatures, the highest waterproof performance is provided on the outermost layer of the structure, and the heat preservation performance is gradually reduced inwards so as to reduce condensation of internal moisture; and an efficient, environment-friendly and economical solution is provided for the building industry. The invention solves the problem of balance between thermal insulation performance and fireproof performance of the traditional building thermal insulation material, and improves the problems of insufficient waterproof performance, limited heat energy storage capacity and the like of the traditional material.

The invention belongs to the field of photoelectric co-packaging, and particularly relates to a photoelectric co-packaging temperature control framework based on an embedded glass-based micro-channel. Independent lower-layer heat dissipation is carried out on a heat-sensitive component optical interconnection chip through an embedded glass-based micro-channel technology, an electric interconnection heat dissipation channel continues to use existing upper-layer heat dissipation, mutual isolation of two heat dissipation channels in the whole common packaging body is achieved, heat dissipation partition is achieved from a new dimension, and thermal crosstalk is avoided; the whole common packaging body dissipates heat at the upper layer and the lower layer, so that the effective heat dissipation area is greatly increased, and the heat dissipation capability of the packaging body is greatly improved; and the guidance quality of the heat dissipation channel is better through material selection and additional arrangement of the heat insulation layer. And a metal film temperature sensor can be additionally arranged, so that the temperature of a component can be monitored in real time, heat management regulation and control can be performed in a targeted manner, the temperature rise of a heating device and the heat contact efficiency between the micro-channels are balanced, and more efficient heat dissipation is realized.

The invention discloses a waterproof safety evaluation method and system for waterproof engineering, and belongs to the technical field of waterproofing of constructional engineering. According to the method, the waterproof safety level is comprehensively evaluated by determining an engineering structure defect quantitative index, setting a reference crack width Ws, measuring a waterproof material or engineering re-waterproof performance index Wm and calculating a waterproof safety coefficient K = Wm / Ws. The system evaluates grades based on the method, and selects corresponding waterproof materials and construction methods according to engineering importance, expected deformation and service life. According to the invention, concepts of'waterproof performance 'and'waterproof safety coefficient' are put forward for the first time, a quantitative evaluation system oriented to waterproof performance is established, the defects of heavy form and light actual effect of current specifications are effectively overcome, the transformation from'form compliance 'to'performance standard' is realized, the reliability, durability and economy of waterproof engineering are remarkably improved, and the method is suitable for popularization and application. And a scientific basis is provided for engineering design, material selection and acceptance.

The invention belongs to the technical field of stress corrosion tests, and particularly relates to a dry-wet alternating environment stress corrosion test device and method.The test device is simple in structure, convenient to operate and suitable for stress corrosion tests of metal materials of dry-wet alternating parts of ships, wharfs and other equipment facilities. Therefore, the corrosion performance and the residual life of the metal and the component thereof under the stress action of pulling, bending and the like in the dry-wet alternate harsh marine environment are measured, and a basis is provided for material selection, structural design and the like of key stress parts such as related equipment facilities. The test method is based on corrosion equivalent conversion, the seawater medium flow velocity is controllable, stress corrosion test parameters of the dry-wet alternating environment can be reasonably determined, and corrosion damage of the dry-wet alternating part of the equipment under the long-term stress service condition can be rapidly reproduced under the condition that the stress corrosion mechanism and the damage development process are not changed; the test time is greatly shortened, the test cost is reduced, and rapid screening and examination verification of novel structures / materials of equipment are realized.

The utility model provides a local resonance type phononic crystal primitive cell which comprises a silicon rubber base body serving as an outer ring, a steel scatterer is arranged in an inner cavity of the silicon rubber base body, and the steel scatterer and the silicon rubber base body are connected and fixed through a soft material wrapping layer. The four spring mass subsystems are nested in the steel scattering body; a soft material wrapping layer is arranged on the side wall of the inner cavity of the silicone rubber base body. According to the utility model, a plurality of complete and directional band gaps in a low-frequency range can be effectively formed, and low-frequency elastic waves are effectively inhibited; the hollow and height difference design is adopted among the external silicon rubber base body, the steel scatterer and the spring mass subsystem, so that the vibration damping material has a sufficient deformation space to play a vibration damping role; the steel scatterer, the spring mass subsystem and other structures ensure that the anti-vibration pad has an enough supporting effect, band gap regulation and control of the local resonance type photonic crystal can be effectively achieved through material selection flexibility, and low-frequency vibration control of different frequency bands is achieved.

The invention discloses a non-standard goods shelf intelligent design method and system based on a parameterized model, and relates to the technical field of computer aided design, and the method comprises the following steps: collecting parameters, and carrying out abnormal value elimination and dimension unified processing to generate a standardized demand parameter set; defining core structure parameters and establishing a component association rule, and constructing a parameterized basic model through three-dimensional modeling; the storage rack structure is optimized by combining storage mechanics and material mechanics characteristics, stress concentration is reduced, and deformation under rated load is controlled; a simulation environment is built for statics and dynamics simulation, and a simulation test report is output; screening an optimal parameter combination to generate a detailed design scheme; and receiving user feedback, adjusting parameters and material selection in combination with production feasibility and cost budget, and repeating optimization simulation steps to generate a final scheme. Efficient design of the non-standard goods shelf is achieved through parametric modeling and intelligent optimization, the structure is safe and reliable, the material utilization rate is high, and the design quality and efficiency are remarkably improved.

The invention relates to an application that utilizes artificial intelligence to enhance project management in construction and repair industries. The system includes a user computing device, an application server, and a database server. The application server processes project data, including blueprints, to generate materials lists, integrates with online marketplaces to facilitate purchasing, and employs machine learning for product recommendations. The system also uses predictive analytics to forecast project deliveries and prevent backorders, while optimizing resource allocation through efficient supplier and material selection. The software application features an AI-powered chat, job planner, marketplace, and cart, providing a comprehensive platform for real-time collaboration among contractors, suppliers, and manufacturers. This innovation streamlines project workflows, reduces errors, and improves overall efficiency in managing construction and repair projects.

The invention discloses an optimization method for a PBR material set selection strategy, and relates to the technical field of computer graphics, and the optimization method comprises the steps: obtaining sub-object metadata of sub-objects in a target model, and an environment illumination type corresponding to the environment illumination intensity of the target model; performing rule mapping on the sub-object metadata based on a preset rule base, and determining material demand parameters of the sub-objects; selecting a first candidate PBR material from a PBR material library according to the material demand parameter, the sub-object metadata and the ambient light category; the first candidate PBR material is matched with the environment illumination category, the material demand parameter and the sub-object metadata, and the matching degree score of the first candidate PBR material is determined; and selecting a target PBR material from the first candidate PBR materials according to the matching degree score, thereby solving the technical problem of low PBR material selection matching accuracy in the prior art, and improving the material selection efficiency and accuracy.

The invention relates to the technical field of permeable material testing, solves the problem that a more complete material selection basis cannot be provided for engineering design in the prior art, and provides a method, a device and equipment for testing the heat dissipation performance of an evaporative cooling material and a storage medium. Acquiring a first mass change value of the to-be-tested sample in the simulated rainfall process; when the instantaneous moisture content meets a preset condition, rainfall simulation is stopped, and a second mass change value of the to-be-tested sample in a preset duration is obtained; placing the to-be-tested sample in the wind tunnel test platform, and obtaining a third mass change value and a surface temperature change value of the to-be-tested sample and an environment temperature change value, a humidity change value and a wind speed change value of the wind tunnel test platform; and obtaining a heat dissipation performance evaluation result of the to-be-tested sample based on the parameters. According to the method, quantitative, comparable and repeatable evaluation of the cooling capacity of the permeable material is realized, and a scientific basis is provided for material performance judgment and application scene selection.

The invention discloses a treatment process and a production line of a variable-strength automobile anti-collision beam rolling profile, and relates to the technical field of automobile anti-collision beam manufacturing, and the treatment process comprises the following steps: material selection and primary leveling; local heating and cooling; secondary leveling and punching are carried out; and carrying out primary cold roll forming and secondary cold roll forming. According to the treatment process, the strength of the target position of the ultra-high-strength steel forming plate is changed, so that the problem of cracking cannot occur when the small fillet of the ultra-high-strength steel forming plate is bent, a rolling production line can normally operate for a long time, and the production efficiency is guaranteed.

The invention discloses a well drilling leakage crack width prediction and bridging plugging particle optimization method and system. The method comprises the steps that reservoir leakage points are found through a logging tool, and the type of a leakage crack is recognized; the leakage crack type comprises a horizontal crack or a vertical crack; according to the reservoir leakage point, establishing a working fluid flowing mathematical model from the surface pipeline to the reservoir leakage point; according to the type of the leakage crack, constructing a leakage crack deformation mathematical model based on a displacement discontinuity theory; calculating the fluid pressure at the reservoir leakage point based on the working fluid flow mathematical model; according to the fluid pressure and the leakage data, the leakage crack width distribution is predicted based on the leakage crack deformation mathematical model; and preferably selecting the particle size of the bridging plugging particles according to the width distribution of the leakage crack. The method overcomes the defects that a traditional well drilling plugging material is high in selection subjectivity and lacks theoretical support, and the effects of improving the success rate of well drilling plugging operation, guaranteeing well drilling safety and improving the oil and gas recovery rate are expected to be achieved.

The invention relates to the related technical field of capacitor production, in particular to a preparation method of a capacitor shell, which comprises the steps of material selection and preparation, mold design and manufacture, shell forming process, quality detection and test, shell surface treatment and protection, shell assembly and welding, and final detection and quality guarantee of the shell. According to the preparation method of the capacitor shell, multiple key links are covered, various materials are selected, aluminum alloy, stainless steel, plastic and the like are matched with different scenes, the purity is strictly controlled and treated to enhance the performance, the mold design is reasonable, the material selection is proper, the machining precision is high, a cooling system optimizes the forming quality, and the forming process is rich; parameters are controlled to guarantee precision, quality is guaranteed through comprehensive detection, performance and attractiveness are improved through surface treatment, multiple modes are adopted for assembly, automation and manual work are combined, structural stability and good sealing are guaranteed, all links synergistically improve the comprehensive performance of the shell, and production quality and efficiency are guaranteed.

The invention discloses a main material and equipment price selection method and system for a maintenance project, and relates to the technical field of power maintenance project price selection, and the method comprises the steps: extracting field information from a material price library, and recognizing a core word through a semantic analysis model; constructing a core word index file, and performing word segmentation and matching processing on retrieval keywords; and sorting the matched data based on a weight rule, and generating a recommendation result for a user to refer to. According to the method, a dynamic and real-time data basis is provided for subsequent analysis, so that the system can better adapt to continuously changing market requirements, the reading speed of the index file is increased, the search sensitivity and accuracy are improved, the requirement of a user for instant information is met, and the user experience is improved. According to the method, the recommendation transparency and credibility are improved, and the user experience and participation sense are improved, so that the pertinence and rationality of decision making are improved, and efficient market response and material selection strategy optimization are realized.

The invention relates to the technical field of metal material fracture resistance testing, in particular to a prediction method for fracture toughness of a polar region ship composite steel plate under different thicknesses, and the method comprises the following specific steps: S1, material selection and performance testing; s2, carrying out a fracture test; s3, modeling and simulation: performing modeling on the composite steel plate samples with different composite layer thicknesses, and performing fracture behavior simulation; s4, model establishment and parameter fitting; and S5, model verification and application. According to the method, the layer thickness ratio Rt is used as a key research parameter, the fracture toughness change rule of the polar ship composite steel plate under different composite layer thicknesses can be systematically represented, and the fracture toughness prediction model based on the layer thickness ratio is established, so that the problems of complexity and high cost caused by one-by-one test on all the composite layer thicknesses in a traditional method are effectively solved; therefore, the actual engineering requirements of rapid fracture resistance design and economic evaluation of the polar ship composite steel plate are met, the test quantity is small, the period is short, and the cost is low.

This invention belongs to the field of feed processing technology, specifically a feed processing conveyor, including a trough conveyor frame; a conveyor belt is installed on the trough conveyor frame; a collection box is provided below the trough conveyor frame; a material selection bin is fixedly connected to the inner side wall of the collection box; a fan is fixedly connected to the side wall of the collection box; an air outlet pipe is fixedly connected between the output end of the fan and the material selection bin. Air is blown into the air outlet pipe by the fan. Utilizing the light weight of grain husks, the air carries the husks towards the discharge port, while the feed itself, being heavier, cannot be carried by the weak airflow and continues to fall downwards under its own gravity, entering the collection box through the discharge port for collection and subsequent processing. By removing the husks from the feed through airflow, the content of grain husks in the feed is reduced, improving the production quality of the feed. This device is suitable for any automated three-dimensional warehouse.

The invention relates to the field of gas working medium heat conductivity coefficient measuring devices, in particular to an unsteady-state high-temperature gas working medium heat conductivity coefficient measuring device and method. Comprising a high-sealing sample cavity, a uniform temperature block for heating the sample cavity, a constant temperature furnace for heating the uniform temperature block, a gas conveying device for inputting or outputting to-be-detected gas into or out of the sample cavity, and a vacuum device communicated with the sample cavity and used for vacuumizing the sample cavity, wherein a hot wire sensor and a supporting rod for supporting the hot wire sensor are arranged in the sample cavity; the temperature equalizing block is arranged outside the sample cavity, and a temperature measuring system is arranged in the temperature equalizing block; the gas conveying device comprises a gas inlet tank, a gas recovery tank and a pipeline. The device has the effect of solving a series of problems of temperature control precision of a temperature control system, selection of a high-temperature-resistant material, selection of a heating wire material and the like in measurement of the heat conductivity coefficient of the high-temperature gas.

The invention discloses a notebook computer shell processing method and relates to the technical field of notebook computer shells. The method comprises the following steps: S1, material selection: selecting a high-strength aluminum alloy plate; s2, material cutting is conducted, specifically, the high-strength aluminum alloy plate is cut into a primary blank according to the needed size and shape; s3, pressing a bending groove: pressing the bending groove at the joint between the bottom shell and the bending part; s4, primary bending: stopping applying pressure when a bending angle of 50-80 degrees is formed between the bottom shell and the bending part; s5, secondary bending: forming a 90-degree bending angle between the bottom shell and the bending part; s6, primary hemming: arranging a necking part at the top of the bending part, and stopping applying pressure when a hemming angle of 50-80 degrees is formed between the necking part and the bending part; s7, performing secondary hemming to form a 90-degree hemming angle between the necking part and the bending part; and S8, back extrusion is carried out, wherein a right-angle inner curled edge is formed between the inner side of the necking part and the bent part. The technical scheme has the advantages of strong supporting force, high structural strength, difficulty in deformation and easiness in surface treatment.

The invention relates to the field of material science and electronic engineering, and discloses a treatment method of a copper wire doped high-conductivity material, which comprises the following steps: (1) material selection and pretreatment: selecting at least one of silver, nickel and rare earth elements as a doping element, and selecting at least one of a carbon nanotube or graphene as a composite material; pre-treating the doping elements and the composite material to ensure uniform dispersion of the doping elements and the composite material; and (2) alloying process: smelting the pretreated doping elements and a copper-based material to form a copper alloy, and processing the copper alloy into a copper wire through a casting or forging process. By optimizing the material composition of the copper wire and adopting the nano-composite technology, the conductivity, the mechanical strength and the corrosion resistance of the copper wire are remarkably improved; meanwhile, due to the improvement of the surface treatment process, the oxidation resistance of the copper wire is effectively enhanced, the service life of the copper wire is prolonged, and the stability of the copper wire in various severe environments is ensured.