4956 results about "Surface processing" patented technology

The invention relates to the technical field of curved surface machining control, and discloses an intelligent curved surface machining method and system based on a CNC cutting machine tool, and the method comprises the steps: carrying out the laser scanning of a to-be-machined workpiece, obtaining the three-dimensional geometric data of the workpiece, activating a target clamping device, and generating an initial clamping scheme; the target clamping device is controlled to execute multi-area pressure gradient clamping operation, and target position data and clamping pressure distribution data are obtained; performing multi-field coupling dynamic analysis to generate a processing optimization parameter set; executing segmented continuous Hamiltonian path planning and self-adaptive lattice point reconstruction according to the machining optimization parameter set, and generating a tool path data set; according to the method, it is ensured that all the surfaces of the polygon prism workpiece are evenly stressed, the problem of machining deviation caused by edge stress concentration in a traditional method is solved, and the overall machining quality of the workpiece is improved.

The invention discloses a casting surface treatment quality evaluation method and system, and relates to the technical field of intelligent manufacturing and quality control, and the method comprises the steps: carrying out the multi-modal data collection of a casting, and carrying out the preprocessing; analyzing the preprocessed data, and constructing a comprehensive quality evaluation data set; a quality evaluation model is constructed, abnormal conditions in surface processing are identified, and a quality evaluation result is generated; performing quality classification on the casting according to a quality evaluation result, generating an evaluation report, and providing quality state judgment and related optimization suggestions; the casting surface treatment process is adjusted and optimized, the overall manufacturing quality is improved, and continuous improvement of quality evaluation is achieved. According to the method, the detection precision of the casting surface treatment quality and the process optimization capability are improved. By adopting data-driven closed-loop control, quality abnormity can be accurately identified, optimization suggestions can be provided, intelligentization, stability improvement and long-term quality improvement of the manufacturing process are realized, the defect rate is effectively reduced, and the manufacturing consistency is improved.

The invention relates to the technical field of grinding, in particular to a self-adaptive force control grinding system and method for a complex curved surface machining robot. Three-dimensional point cloud data of a workpiece are obtained through machine vision, gridding processing is carried out, and normal vector and curvature characteristic parameters are calculated; performing operation area division and operation path planning based on curvature characteristics; calculating operation parameters according to the normal vector and curvature characteristics; a self-adaptive impedance control algorithm is adopted, the polishing force is monitored in real time through a force sensor, and the rigidity and damping parameters of the robot are dynamically adjusted; and performing defect identification on the surface image of the processed workpiece by using the deep learning model, and when defects are identified, re-planning the operation path. According to the method, self-adaptive grinding of the complex curved surface workpiece is achieved, and the grinding efficiency and quality of the complex curved surface can be improved.

The invention discloses a casting surface treatment defect detection and quality evaluation method and system, and relates to the technical field of casting quality evaluation, and the method comprises the steps: collecting the surface data of a to-be-detected casting, and carrying out the data preprocessing, and obtaining a standardized input data set and a standardized data subset; calling a corresponding analysis sub-model for each subset, outputting quality features and confidence coefficients, and summarizing the quality features and the confidence coefficients into a sub-source result; environment state information is acquired to determine sub-model weights, and weighted fusion is carried out on sub-source results to obtain an evaluation result and an overall confidence coefficient; calculating space / feature / time consistency and judging according to a combination rule; when a re-checking condition is met, obtaining a re-checking label backflow updating data set, and training an updating model and parameters; and dynamically adjusting the threshold value and the weight value according to the performance index for subsequent evaluation. According to the method, multi-source data and environment information can be fused, weight self-adaption and closed-loop updating are parallel, accuracy and stability are improved, misjudgment and missed judgment are reduced, and complex working condition adaptability and long-term reliability are enhanced.

The invention discloses a numerical control machining path control system based on artificial intelligence, particularly relates to the field of numerical control machining, is used for solving the problems of continuity and stability of a curvature mutation area in cutter path planning, and accurately captures global and local geometric characteristics of a curved surface through a curvature constraint feature matrix and a curvature adaptive convolutional network. A machining track meeting the differential geometric continuity is generated, and the problem of path breakage of a curvature sudden change area is effectively avoided; meanwhile, energy scale criteria and curvature manifold constraints are introduced, the machining track is dynamically repaired, geometric repair and physical stability are balanced, cutting force sudden change and stress concentration are reduced, and therefore the machining reliability is enhanced; in addition, through finite element simulation of the digital twin platform and synchronous updating of servo system parameters, dynamic closed-loop matching of a control instruction and a machining state is achieved, and the control efficiency and the surface quality are further optimized. And therefore, high-precision, high-stability and high-efficiency collaborative optimization is realized in complex curved surface processing.

To perform efficient surface treatment on a surface to be treated which is positioned on a lower surface side of a structure.SOLUTION: A surface treatment system jets jetted material to a surface to be treated which is set on a lower surface of a structure. The system includes: a surface treatment device which has a nozzle head provided with a jetting nozzle which is inserted in a base end opening part and jets the jetted material, and having a tip end opening part arranged opposite to the surface to be treated; and a nozzle head support device for supporting the nozzle head. The nozzle head support device includes: a pillar arranged in a periphery of the surface to be treated; an arm mechanism which has an arm main body of which a base end is connected to the pillar and rotates around the pillar, and includes a rotation shaft parallel to the pillar and arranged on a joint of a link; and a nozzle head mounting member which is connected to a tip end of the arm mechanism and on which the nozzle head is mounted.SELECTED DRAWING: Figure 1

The invention discloses an intelligent production method of a corrosion-resistant pressing rivet nut in the technical field of information, which comprises the following steps: carrying out surface treatment on the pressing rivet nut subjected to heat treatment, selecting a zinc plating or nickel plating process according to the corrosion resistance requirement of a product, and obtaining a uniform and compact plating layer by controlling the parameters of the temperature and the concentration of a plating solution and the electroplating time, the plating layer quality is detected by adopting a plating layer thickness meter and an adhesive force tester, the pre-plating treatment and post-plating treatment processes are optimized, and the protection performance and the appearance quality of the plating layer are improved; integrating a surface defect detection result with other performance indexes to serve as a comprehensive evaluation basis of product quality, establishing a correlation model of pressure riveting nut performance detection data and material attributes, a heat treatment process and a surface treatment process, mining an influence rule of each element on the product performance by adopting a correlation rule mining and time sequence prediction method, and determining the quality of the product. And predicting product performance distribution under different production parameter combinations.

The invention provides a multi-source data fusion intelligent control method for logarithmic curved surface machining, and relates to the technical field of data processing, and the method comprises the steps: 1, in a product machining process, through a geometric morphology detection sensor, a material characteristic perception sensor and a cutting state monitoring sensor, a cutting state is detected; obtaining multi-dimensional data reflecting the geometric morphology, the material characteristics and the cutting state of the curved surface, and forming a multi-source information stream; 2, carrying out real-time fusion on the multi-source information flow, and generating a comprehensive state description through space-time alignment and association of sensor data; the method comprises the following steps: converting data reflecting the geometric morphology of a curved surface into a point cloud set, identifying a feature point of a curvature mutation region as an original reference point, constructing two space reference straight lines, and calculating a space included angle between the two space reference straight lines to obtain an included angle region; through multi-source data fusion and intelligent control, the precision, efficiency and stability for logarithmic curved surface machining are improved, and the machining cost and the error rate are reduced.

The invention relates to the technical field of the manufacturing industry, and discloses a high-integration variable-focus laser engraving control method and system, and the method comprises the steps: carrying out the high-frequency data collection of the surface of a workpiece through a sensor array, and obtaining an initial surface state data set; and analyzing surface tiny differences by using the feature extraction model, and determining a dynamic trend distribution diagram. A real-time monitoring technique is employed to track the surface change, and focus position correction is triggered when it is detected that the height fluctuation exceeds a threshold. And adjusting the focus position according to a deviation correction algorithm, and driving an execution mechanism to carry out real-time correction. And the processing effect is analyzed and evaluated through data comparison, a parameter optimization instruction is generated, and the dynamic adjustment control model is called to finely adjust operation parameters. And finally outputting a processing quality evaluation result, and generating a complete log file. Real-time precision monitoring and dynamic adjustment in the complex surface machining process are achieved, the machining precision and stability are improved, and the high-end manufacturing standard requirement is met.

The invention discloses an automatic planning method and system for a curved surface path of a grinding robot, and the method comprises the following steps: S1, constructing a to-be-machined three-dimensional curved surface model and a triangular mesh model, and relates to the technical field of automatic control of robots for surface machining in the manufacturing industry. According to the method, a complex three-dimensional surface coverage path planning problem of a workpiece is converted into two low-complexity sub-problems of key point sampling of a two-dimensional path planning domain and three-dimensional shortest path searching on a triangular mesh model, a small number of sampling points are sampled only on the two-dimensional path planning domain, and the sampling process depends on a spatial index framework; according to the method, global traversal of disordered point clouds is avoided, three-dimensional coordinates are positioned through nearest neighbor search of a KD tree algorithm, adjacent three-dimensional ordered key points are sequentially connected through a graph search algorithm, and a continuous machining path is formed, so that the operand is greatly reduced, real-time response of path planning is facilitated, and the problems that traditional online planning is long in time consumption and difficult in real-time response are solved.

The invention discloses a PCB ink-jet printing pretreatment agent, a preparation method thereof and a PCB ink-jet printing method, and relates to the technical field of printed circuit board production. The PCB ink-jet printing pretreatment agent is prepared from the following components in mass concentration: 0.1 to 0.5 percent of an anti-diffusion agent, 0.1 to 0.5 percent of a wetting agent, 0.2 to 1.0 percent of a homogenizing agent, 0.5 to 2.5 percent of a dispersing agent, 0.1 to 3.0 percent of a cosolvent and the balance of water. The PCB ink-jet printing pretreatment agent can be used in a surface treatment procedure of a fine PCB pattern ink-jet printing process, a uniform organic layer can be formed on a PCB copper surface and a substrate surface, and the organic layer can effectively reduce surface tension of the copper surface and the substrate surface, prevent diffusion of jet printing ink on the PCB surface, promote uniform arrangement of the ink and improve the printing quality of the PCB. Stable and neat linear ink can be formed, and the product yield of a fine line ink-jet printing process is improved.

The invention belongs to the technical field of crucible coating optimization, and relates to an intelligent coating optimization method for quartz crucible surface treatment. According to the method, coating material data, surface treatment environment data, coating process data and performance test data are collected, the performance test data serve as a real result label of a training set, denoising, missing value processing and normalization are carried out on the collected data, and through a Pearson's correlation coefficient and a principal component analysis method, the coating material data, the surface treatment environment data, the coating process data and the performance test data are obtained. According to the method, a group of key features are screened out, data dimensions are reduced, main information influencing the coating performance is reserved, a deep neural network model is trained, the coating performance is predicted through the model, and coating process parameters are optimized by adopting a particle swarm optimization algorithm based on the predicted coating performance, so that the coating performance is optimized. According to the method, the optimal parameter combination can be effectively searched, blindness and high cost of a traditional optimization method are avoided, a closed-loop intelligent coating optimization process is formed, and the optimization efficiency and performance of the coating process are remarkably improved.

The invention relates to an additive manufacturing method and application of an aluminum-based silicon carbide composite material complex component, and the additive manufacturing method of the aluminum-based silicon carbide composite material complex component comprises the following steps: step 1, uniformly mixing silicon carbide powder and aluminum alloy powder, and drying; 2, establishing a structural model for the target part, and importing the structural model into selective laser melting forming equipment; thirdly, selective laser melting forming is conducted; fourthly, linear cutting and surface treatment are conducted; and fifthly, hot isostatic pressing treatment is conducted. The invention further provides application of the aluminum-based silicon carbide composite material complex component to precise structural components such as aviation structural components, guided missile and satellite components and optical instruments. According to the method, the problem of subsequent large-allowance removal of the aluminum-based silicon carbide composite material component is solved, the wettability between the aluminum alloy and the silicon carbide particles is improved, the mechanical property meets the application requirement, and the aluminum-based silicon carbide structural component with stable performance is obtained.

The invention relates to the field of metal surface treatment, and discloses a multi-layer vacuum coating method for enhancing the surface of a high-precision metal part, which comprises the following steps: S1, surface treatment: removing surface pollutants and oxide layers through plasma cleaning, and coarsening the surface of a base material through laser etching; s2, coating deposition is conducted, specifically, a metal transition layer and a multi-layer nano hard coating are deposited in an enhanced mode through plasma; s3, depositing a self-lubricating coating: depositing the self-lubricating coating by pulse laser; s4, post-treatment: carrying out ion beam assisted post-treatment; s5, heat treatment: performing low-temperature heat treatment to eliminate stress. Through the plasma enhanced PVD and pulse laser deposition technology, the multi-layer nano coating is deposited under the low-temperature condition, the problem of thermal deformation of a heat-sensitive metal base material caused by a traditional high-temperature process is solved, and it is ensured that the multi-layer coating with high hardness and high compactness can still be formed on the premise that the size precision of the base material is not affected; and therefore, the method can be widely applied to surface treatment of high-precision parts.

The invention discloses an intelligent robot construction technology and system for building surface treatment, and relates to the technical field of building construction.The technology comprises the following specific processes that three-dimensional contour data collection is conducted, specifically, a building surface is comprehensively scanned through high-precision three-dimensional laser scanning equipment, and space coordinate information of all points on the surface of the building surface is obtained; by integrating three-dimensional laser scanning, image processing and spray gun and polishing control, full-process automatic operation from putty spraying, polishing to paint spraying is achieved, the construction period is greatly shortened, the efficiency advantage is particularly remarkable for large-area or complex-shape building surface treatment, and meanwhile, the construction efficiency is greatly improved. Due to the fact that the robot can work strictly according to the preset program and path and conduct accurate adjustment in combination with real-time feedback data, high consistency and uniformity of construction quality are ensured, and the problems of spraying omission, repeated spraying or uneven grinding and the like possibly occurring in manual construction are effectively avoided.

The invention discloses an aluminum alloy extrusion forming production process, which relates to the technical field of extrusion production, and comprises the following steps: designing an extrusion die, carrying out surface heat treatment on the extrusion die, selecting an aluminum alloy material, heating and extruding, carrying out surface treatment processing on a produced aluminum alloy profile, and packaging the aluminum alloy profile after the aluminum alloy profile is inspected to be qualified. Compared with the prior art, the method has the advantages that the grain structure of the profile can be more uniform and refined by accurately regulating and controlling the complex relation among parameters such as the extrusion temperature, the mold temperature, the extrusion speed and the lubricating condition, so that the mechanical property is enhanced, like a 6063 aluminum alloy profile, the tensile strength can be improved, the yield strength is improved, deformation or damage in the using process is effectively avoided, and meanwhile, the service life of the profile is prolonged. Good parameter matching can effectively reduce internal defects of the profile, metal can flow in a mold more smoothly, internal pores, cracks and other defects caused by non-uniform metal flow are reduced, and the surface quality is greatly improved.

A cutting insert includes a rake face, a flank face, and a cutting edge constituted of a ridgeline between the rake face and the flank face. The cutting edge has a first cutting edge portion for corner processing, a second cutting edge portion for low cut-in pulling processing, a third cutting edge portion for high cut-in pulling processing, a fourth cutting edge portion for finished-surface processing, a first connection cutting edge portion, a second connection cutting edge portion, and a third connection cutting edge portion. The fourth cutting edge portion is disposed between the first cutting edge portion and the second cutting edge portion. The second cutting edge portion is disposed between the fourth cutting edge portion and the third cutting edge portion. Each of the first cutting edge portion, the second cutting edge portion, and the fourth cutting edge portion has a curved shape.

The invention discloses a method for manufacturing a high-precision circuit board based on material transfer, which comprises the following steps of: taking a thick copper layer, attaching a micro-mucous membrane layer, manufacturing a dry film pattern layer on the other surface, etching off a part of thickness of the thick copper layer, stripping a film, screen-printing solder resist ink, baking and curing, polishing, forming a solder resist ink pattern, laminating an insulating medium layer, and stripping the micro-mucous membrane layer. Etching for the second time to form a circuit pattern layer, and performing surface treatment to form the high-precision circuit board; a reverse processing flow is formed through a material transfer mode, a semi-circuit layer is firstly manufactured, then solder resist ink is directly screen-printed to form a solder resist pattern, then the pattern is transferred to an insulating medium layer, the manufactured circuit pattern and the solder resist pattern are etched and exposed, alignment and exposure are carried out only once, the circuit processing precision is greatly improved, and the production cost is reduced. The solder resist pattern is not subjected to exposure and development processing, the phenomena of irregular pattern edge and lateral erosion are avoided, the whole processing flow is efficient and convenient, and a high-precision circuit board product is formed.

The invention discloses a five-axis linkage platform-galvanometer collaborative curved surface machining method based on space curve filling. The method comprises the following steps: firstly, importing a three-dimensional model stored in a triangular patch format, segmenting a closed curved surface target processing area, and then obtaining a two-dimensional plane mapping graph through parameterization; a space curve is adopted to fill the pattern, and a five-axis linkage platform motion trail is obtained through smooth processing; a filling pattern and a path are reflected to a three-dimensional space, a five-axis linkage platform and galvanometer motion instruction is generated, five-axis linkage platform motion parameters are checked, and local smooth iteration is carried out if the five-axis linkage platform motion parameters do not reach the standard; calculating a laser incident angle and a focal offset distance, and iteratively optimizing a smoothing mode when the requirements are not met; and the relative positions of the five-axis linkage platform, the workpiece and the galvanometer coordinate system are determined, coordinates are converted, and the five-axis linkage platform is combined with the two-dimensional or three-dimensional galvanometer module to complete machining. According to the method, high-frequency scanning of the galvanometer and smooth motion of the five-axis linkage platform are combined, and curved surface pattern machining under comprehensive constraint of the focal offset distance and the incident angle is achieved.

The invention relates to the technical field of composite material surface magnetron sputtering coating, and particularly discloses a composite material surface magnetron sputtering coating process and method, and the composite material surface magnetron sputtering coating process comprises the steps of S1, surface treatment, S2, process equipment condition setting, S3, intelligent control, S4, multi-target co-sputtering process, S5, post-treatment and S6, surface topography detection. Through the multi-target co-sputtering technology, multiple layers of composite coatings such as TiN, CrN, Al2O3, ITO and other different functional layers can be deposited on the surface of the composite material, the base material is endowed with the properties such as abrasion resistance, corrosion resistance, insulation and electric conduction, and the comprehensive performance of the coatings is further improved through the synergistic effect of all the layers; the intelligent control system monitors and adjusts sputtering parameters in real time, so that the compactness and uniformity of the film are ensured, the defect rate of the film is reduced, the protection effect of a coating is enhanced, the service life of the coating is prolonged, key parameters such as sputtering power and temperature can be accurately adjusted, fluctuation caused by manual intervention is reduced, and the service life of the coating is prolonged. And the result of each process operation has high consistency.

This application relates to a laser-plasma composite cladding head and a composite cladding method, and belongs to the field of surface processing of metallic materials. In the laser-plasma composite cladding head of this application, a ring laser beam is split into two half-ring laser beams through an upper roof lens to avoid a tungsten electrode. The two half-ring laser beams pass through a left 45° reflective lens to be coaxial with the tungsten electrode and then are integrated into a complete ring laser beam through a lower roof lens, thereby allowing a coaxial output of the ring laser beam and a plasma beam. This application integrates the advantages of laser cladding and plasma cladding and adopts coaxial compounding and synchronous powder-feeding.

The invention discloses a door and window surface treatment intelligent regulation and control system and method based on multi-sensor fusion. According to the method, through multi-dimensional cooperation of the self-learning optimization center, breakthrough improvement of the process quality and essential optimization of the production efficiency are achieved. According to the system, the high-precision simulation capability of the digital twins and a dynamic decision-making mechanism of reinforcement learning are deeply fused, so that fine changes of material characteristics, environmental conditions and equipment states can be sensed in real time in the door and window surface treatment process, and optimal process parameters are automatically generated. The traditional hysteresis quality which depends on manual experience for adjustment is thoroughly eliminated, and when the system treats complex working conditions such as special-shaped curved surfaces and composite base materials, not only can the uniformity of the nanoscale coating be maintained, but also the energy supply strategy can be dynamically optimized, and the energy consumption and the material loss can be obviously reduced. The cross-process global optimization capability ensures that the links of pretreatment, spraying, curing and the like form cooperative gain instead of isolated operation, and the debugging period of the complex process is greatly shortened through the full-process intelligence.

The invention relates to the technical field of information, in particular to a method and system for accurately controlling friction force of a support rotating shaft in the design field of the support rotating shaft, and the method comprises the steps: obtaining the rotating frequency and load size data of the support rotating shaft under different postures as the basis of subsequent analysis; according to the change trend of the wear degree, establishing a mapping relation between the geometrical shape and a friction force value, and fitting a mapping function through geometrical characteristics and friction force experiment data; a multi-objective optimization algorithm is adopted, material performance and a surface treatment process are combined, an optimal parameter combination of the geometrical shape is solved, and an objective function is friction force uniformity and wear rate minimization; generating a rotating shaft geometric structure with uniformly distributed friction force values through the optimal parameter combination, and ensuring that geometric characteristics meet preset friction force and wear requirements; according to the control model and the constraint conditions, the optimal friction value range of the rotating shaft under different working conditions is calculated, and it is ensured that the friction value is within a preset threshold value.

The invention discloses an intelligent control system and method for shot blasting equipment based on multi-modal perception, and relates to the technical field of industrial surface treatment.The intelligent control system and method for the shot blasting equipment based on the multi-modal perception have the advantages that a technological parameter self-evolution decision-making mechanism with deep reinforcement learning as a core and real-time feedback of discharging quality as a system is established; the shot blasting process is converted from static experience setting to dynamic model driving, a process parameter optimization model serves as a deep reinforcement learning agent, instant reward functions of processing quality, energy consumption, material consumption and equipment loss are comprehensively considered, and the function guide model pays attention to whether the final quality reaches the standard or not, and also pays attention to the real-time reward functions of the processing quality, the energy consumption, the material consumption and the equipment loss. And meanwhile, the comprehensive economic benefits of the whole process are actively optimized, the quality evaluation and prediction model performs real-time and quantitative analysis on visual images of discharged workpieces, and immediately feeds back results to the decision model, so that the system has the learning ability, and autonomously explores and converges to an optimal process parameter combination for specific workpieces and specific states.

The invention discloses a post-pressing multilayer high-frequency metal-based carbon oil circuit board production method, and relates to the field of circuit board production, and the method comprises the steps: carrying out the engineering design, carrying out the pretreatment preparation after the engineering design is completed, and carrying out the hole metallization control of a high-frequency microwave board after the pretreatment preparation is completed. And after hole metallization control of the high-frequency microwave plate is completed, copper plating processing is carried out, and after copper plating processing is completed, metal-based chemical gold plating processing is carried out. According to the post-pressing multilayer high-frequency metal-based carbon oil circuit board production method, a dielectric layer of a multilayer high-frequency metal-based board is generally made of a high-frequency material, a multilayer high-frequency microwave board is firstly manufactured, then pressed together with a metal-based board and then subjected to surface treatment and forming, a carbon oil board is generally used on an FR4 board and is subjected to screen printing through common gauze, the resistance value and thickness error are large, and the resistance value and thickness error are large. And the produced post-pressed high-frequency metal-based carbon oil circuit board is good in heat dissipation and good in signal transmission performance, and the thickness and resistance of the carbon oil meet the requirements of customers.

The invention discloses a target sheet identification method based on point cloud data, and belongs to the field of target sheet identification methods, and the method comprises the following steps: 1, collecting original point cloud data of a target range environment through a laser radar; step 2, anti-rain and anti-fog interference processing; step 3, carrying out gale shake compensation; 4, reconstructing a basic curved surface, and executing random sampling consistency plane fitting; step 5, enhancing and reconstructing a wrinkle region, specifically, detecting a region with a curvature change rate of greater than 0.05 mm <-2 > on the basic curved surface; marking as a to-be-enhanced area and transmitting to a sub-curved surface processing flow; step 6, bullet hole identification: calculating the local curvature of the point cloud, and screening abrupt change points of which the curvature values are greater than 0.25 mm <-1 >; fitting the three-dimensional coordinates of the bullet hole by adopting a least square method; and step 7, outputting target sheet attitude parameters and bullet hole ring values. According to the invention, interference of rain, fog and strong wind can be reduced, and identification precision is improved.

The present invention relates to the technical field of double hardness hammer heads, specifically to a manufacturing process of double hardness hammer heads, comprising: pouring molten steel into a sand mold after refining treatment, taking out the casting after cooling, and obtaining a rough hammer head; hanging the rough hammer head on a hanger and moving it into an insulation shell for normalizing heat treatment, and air cooling to room temperature; adjusting the working part of the rough hammer head to be located at the position of the electromagnetic heater of group A, heating the working part, then moving the working part down to the quenching oil, cooling the oil to room temperature, repeating the above operation, and performing cyclic quenching; removing the rough hammer head from the hanger, and performing surface treatment on the working part; hanging the rough hammer head after surface treatment on the hanger again, moving the working part to the position of the electromagnetic heater of group A, performing tempering heat treatment, and then moving it out of the insulation shell, air cooling to room temperature, and obtaining a double hardness hammer head. The present invention improves the overall quality of the working part of the hammer head through the cooperation of cyclic quenching / rare earth nitriding / tempering stress relief process.

The invention discloses shot blasting equipment for shell surface treatment and a shot blasting treatment process, and relates to the field of shot blasting treatment.The shot blasting equipment comprises supporting feet, a shot blasting box is fixedly connected to the tops of the supporting feet, a switch device is fixedly connected to the outer surface of the shot blasting box, and the output end of the switch device is fixedly connected with a sealing door; a shot blasting unit is fixedly connected to the front face of the shot blasting box, a processing unit is fixedly connected to the bottom of the shot blasting box, a rack is fixedly connected to the top of the shot blasting box, a shot outlet channel and a loading unit are arranged on the side, close to the shot blasting unit, of the shot blasting box, and the loading unit is arranged on the top of the shot outlet box. After the loading mechanism drives a product subjected to shot blasting to enter the shot blasting box, the shot blasting unit performs shot blasting on the product to remove scrap iron on the surface of the product, and shots after impact fall into the treatment unit which treats and recovers the shots.

The invention discloses a reinforced composite PCB and a preparation method thereof, and belongs to the technical field of PCB preparation. The preparation method of the reinforced composite PCB comprises the following steps: step 1, processing an inner-layer core board to obtain a preprocessed inner-layer core board; 2, cutting, drilling and activating the modified composite film to obtain a treated modified composite film; and 3, sequentially carrying out stacking, hot pressing treatment, pressure relief, cooling, drilling, hole metallization treatment, outer layer pattern transfer, pattern electroplating, outer layer etching, resistance welding, surface treatment, molding and testing on a copper foil, a prepreg, the pretreated inner layer core plate, the prepreg, the treated modified composite film, the prepreg, the pretreated inner layer core plate, the prepreg and the copper foil. And the composite PCB is obtained. The circuit board prepared by the method has excellent thermal stability and mechanical properties.

The invention relates to the technical field of aluminum alloy wire processing, and particularly discloses a high-modulus high-conductivity heat-resistant aluminum alloy material, an aluminum wire, a preparation method and a power transmission cable. According to the high-modulus, high-conductivity and heat-resistant aluminum alloy material provided by the invention, the nanoscale TiB2 particles and the micron-sized SiC particles are compounded in the aluminum alloy powder, a dual-reinforcement system is constructed, and the mechanical property and the electrical property of an aluminum conductor are synergistically improved. The invention further provides a preparation method of the high-modulus and high-conductivity heat-resistant aluminum conductor. According to the process, a multi-stage coupling plastic processing technology of hot extrusion, continuous rolling, drawing and surface treatment is adopted. The grain structure is refined through the dynamic recrystallization effect in the series of machining processes, oxidation film defects on the surface and in the structure are damaged through plastic deformation, the rigidity and the conductivity of the aluminum wire are further optimized, and the technical bottleneck that high modulus, high conductivity and heat resistance of traditional aluminum alloy are difficult to consider at the same time is effectively solved.