4045 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 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.

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 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.

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.

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 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 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 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.

The invention provides a method for additive forming of a high-performance Ti2AlNb three-period minimal curved surface lattice structure in a nitrogen atmosphere, and belongs to the technical field of additive manufacturing. Comprising the following steps: step 1) modeling an implicit function of a TPMS configuration: designing a CAD model of the TPMS configuration and exporting the CAD model as an STL file; 2, pretreatment of the Ti2AlNb lattice structure formed through L-PBF, wherein an STL file is subjected to slicing treatment, and technological parameters are set; 3, L-PBF forming of the Ti2AlNb lattice structure is conducted, specifically, in the nitrogen-argon mixed atmosphere, the Ti2AlNb lattice structure is formed through the L-PBF technology; and (4) the TPMS configuration Ti2AlNb lattice structure is subjected to surface treatment. According to the method, the Ti2AlNb lattice structure with the TPMS configuration is designed through implicit function modeling, the Ti2AlNb lattice structure with the TPMS configuration is formed through L-PBF in the nitrogen-argon reaction atmosphere, the problems that in traditional particle strengthening, reinforcements are distributed unevenly, and the solid solution strengthening effect is limited are solved, and good matching of the strength, plasticity and toughness of the lattice structure is achieved.

The invention relates to the technical field of tunnel engineering prefabricated part production, in particular to a large-diameter duct piece independent kiln assembly line conveying prefabricating method and system. S2, a reinforcement cage and an embedded part are installed; s3, concrete is precisely poured and vibrated; s4, pre-curing and surface treatment; s5, carrying out roller way type flow conveying; s6, hydration heat-driven dynamic maintenance is carried out; and S7, demolding and finished product detection. And S8, mold circulation. According to the large-diameter duct piece prefabricating production line, through technical innovation in multiple aspects of mold, conveying, maintenance, control and the like, the core technical problem in existing large-diameter duct piece prefabricating production is solved, high-precision, high-efficiency, low-energy-consumption and green production of large-diameter duct pieces is achieved, and the large-diameter duct piece prefabricating production line has remarkable technical advantages and wide application prospects and is suitable for large-diameter duct piece prefabricating production. The method can be widely applied to infrastructure construction projects such as shield tunnels, open caisson projects and underground comprehensive pipe galleries.

The invention relates to the technical field of electroplating, and particularly discloses a nickel-tungsten-phosphorus plating layer electroplating process which comprises the following steps: S1, preparing a nano composite electroplating solution which comprises nickel salt, tungstate, hypophosphite, nano silicon carbide powder, ZIF-67 (at) MXene core-shell nanosheets, a composite complexing agent and water; s2, plasma mixed gas is adopted for conducting etching treatment on the surface of the workpiece to be plated; s3, electroplating the to-be-electroplated workpiece subjected to surface treatment under the action of pulse current and an alternating magnetic field, and performing ultrasonic stirring on the composite electroplating liquid in the electroplating process; and S4, under nitrogen protection, the workpiece is subjected to annealing treatment. According to the electroplating process, through the synergistic effect of the nano SiC and the ZIF-67 (at) MXene, the component uniformity and the structural compactness of the nickel-tungsten-phosphorus coating can be effectively improved, and then the corrosion resistance of the nickel-tungsten-phosphorus coating in the complex oil gas environment is effectively improved.

The invention provides a matte stainless steel roller coating surface treatment method which comprises the following steps: carrying out vibration grinding pretreatment on a stainless steel base material, activating phosphate, carrying out sequential coating process roller coating, carrying out three-section gradient curing and the like. The problems of insufficient circulating stability of the etching liquid, low dynamic pressure control precision, insufficient coating uniformity and adhesive force and the like are effectively solved, and the method has the advantages of improving the circulating stability of the etching liquid, improving the dynamic pressure control precision and improving the coating uniformity and adhesive force.

The invention relates to the technical field of information retrieval, in particular to a part three-dimensional model retrieval method and system based on feature extraction. The part three-dimensional model retrieval method comprises the following steps that a manufacturing industry part design drawing is obtained; geometric structure feature extraction and material feature extraction are carried out according to a manufacturing industry part design drawing, and geometric structure data and material data are obtained; constructing a part three-dimensional model based on the geometric structure data and the material data; performing process processing feature extraction according to a manufacturing industry part design drawing to obtain part process processing data; and performing process treatment, including surface treatment, heat treatment and welding treatment, on the part three-dimensional model according to the part process treatment data to obtain surface treatment data, heat treatment data and welding treatment data. Based on the information retrieval technology, the part three-dimensional model retrieval precision and the assembly reliability are improved, and the part design optimization rate and the production quality control efficiency are remarkably improved.

The invention discloses a surface treatment process of a hydraulic rod and a coating monitoring system, relates to the technical field of electroplating, and aims to solve the problems that various complementary sensing technologies cannot be integrated, information such as thickness, uniformity and microstructure cannot be synchronously acquired in a lossless, in-situ and real-time manner, and closed-loop control cannot be formed based on the information in the background technology. According to the scheme, the method comprises the steps that PR electrolytic degreasing is conducted, a workpiece serves as an anode, an oil film is torn through the oxygen evolution effect, an extremely-thin oxidation film possibly existing on the surface of the workpiece is dissolved, base metal is completely activated, and an optimal combination basis is provided for a follow-up coating; and washing with hot water, namely removing residual alkaline degreasing fluid and emulsified oil stains by using hot water with the temperature higher than 60 DEG C in a stirring and spraying manner. According to the method, multi-dimensional information such as the thickness, the uniformity and the microstructure can be synchronously obtained in a lossless, in-situ and real-time mode in the surface treatment process, closed-loop control is formed based on the information, and it is ensured that plating growth is always located on the optimal track.

The invention discloses domestic ceramic surface treatment equipment, and particularly relates to the technical field of domestic ceramics, the domestic ceramic surface treatment equipment comprises a base, a supporting assembly is arranged on the upper side of the base, a fixing seat is fixedly connected to the upper end of the base, a first grinding assembly is arranged on the upper side of the supporting assembly, and a lifting assembly is arranged on the upper side of the supporting assembly; a second grinding assembly is arranged on one side of the first grinding assembly, a moving assembly is arranged at the lower end of the fixing base, and an adjusting assembly is arranged on one side of the moving assembly. Coherent grinding of the pot edge outline, the inclined inner wall, the outline outer edge and the outline inner edge of the ceramic flowerpot is achieved, the diversified requirements of the market for the appearance of domestic ceramics are met, it is guaranteed that the inner wall grinding pressure is uniform, chamfers on the two sides of a wavy opening can be synchronously ground, time waste and position deviation caused by multi-procedure switching are avoided, and the production efficiency is improved. And precision loss and time waste caused by process dispersion of traditional equipment are avoided, and the overall working efficiency is improved.

The invention relates to the technical field of metal wire processing, and discloses a high-performance metal wire plastic coating process for aerospace engineering, which comprises the following steps: carrying out base material type selection on a metal wire, and carrying out surface treatment of precise cleaning, etching and depth gradient activation; a Ti-Cr alloy and graphene-copper composite transition layer is deposited through a magnetron sputtering technology, and a multi-layer coating structure is formed through electrostatic spraying of a base coating, a fluidized bed dipping function layer and high velocity oxy-fuel spraying of a nano composite coating in sequence; the molybdenum-gold composite sealing layer is prepared by adopting an electric arc spraying technology, and is subjected to vacuum ultraviolet curing enhancement, high-temperature gradient annealing, gradient sintering and vacuum curing treatment; and heat radiation on the surface of the coating is enhanced through laser-induced micro-nano structure regulation and silicon nitride film sputtering. Through collaborative optimization of base material treatment, coating construction, function strengthening and quality control, the interface bonding strength, the comprehensive performance and the environmental adaptability of the spaceflight metal wire coating are remarkably improved, and the service life of the spaceflight metal wire coating is remarkably prolonged.

The invention discloses a laser-based surface treatment method and equipment, and the method comprises the steps: obtaining drawing document data of a to-be-treated metal material, carrying out the graphic layering processing of the drawing document data, and generating a multi-layer drawing document model; generating a first laser processing parameter set by combining the type, thickness and surface characteristics of the metal material; the metal material is placed on a jig provided with an automatic adjusting device, and the position of the jig is sequentially adjusted; the metal material is marked through a first laser according to the multi-layer drawing and document model, and machining feedback information of the metal material is collected through a sensor in the marking process; according to the difference between the processing response data and the drawing file data, generating a single-layer drawing file for correcting the processing deviation through an image processing and neural network identification method; the laser marking process and data feedback analysis are deeply fused, so that the precision and consistency of pattern forming are effectively improved; and meanwhile, the machining deviation can be remarkably reduced, so that the overall surface treatment quality and the product yield are improved.

The invention relates to the field of material surface treatment, and discloses a silica gel and metal combined treatment process which comprises the following steps: S1, ultra-short pulse laser is adopted to machine a three-dimensional micro-nano composite structure on the surface of a titanium alloy, the structure comprises a periodic groove array and surface nano holes, and the surface roughness Ra of the titanium alloy is larger than or equal to 5 microns; and S2, a titanium nitride transition layer and a siloxane self-assembly molecular layer are sequentially formed on the roughened titanium alloy surface through atomic layer deposition, and a gradient chemical interface is formed. According to the method, the micro-nano composite structure is processed through ultra-short pulse laser, the interface mechanical embedding area is remarkably increased, the two-dimensional rough limitation of a traditional sand blasting process is broken through, deep barb-shaped anchoring is achieved, the anti-stripping capacity is greatly enhanced, gradient chemical bonding is formed by the atomic layer deposition titanium nitride transition layer and the amino self-assembly molecular layer, and the anti-stripping performance is improved. The thermal expansion difference is effectively buffered, and the interface high-temperature resistance is improved.

The invention discloses a method for testing interlayer tensile strength of a ceramic matrix composite material. Comprising the following steps: acquiring the geometric dimension of a sample, performing surface treatment on a test surface of the sample, marking a test section of the sample, acquiring the geometric dimension of a four-point bending clamp, determining a placement mode of the sample and a camera, and capturing a displacement field of the test surface of the sample by using the camera while performing a curved beam four-point bending test. Obtaining the load value and stroke of the first load drop, extracting the in-situ strain of the sample by using a camera, deducing a formula for calculating the interlayer radial and tangential modulus ratio of the sample, carrying out calculation, and calculating the interlayer tensile strength of the sample by using the existing formula. According to the method disclosed by the invention, the modulus ratio of the interlayer radial direction to the interlayer tangential direction is obtained by using in-situ strain, the problem that the interlayer radial modulus is difficult to accurately determine directly through the test is solved, and the accuracy of the interlayer tensile strength of the ceramic matrix composite material measured through the curved beam four-point bending test is improved.

The invention discloses an aspheric surface processing intelligent feedback control system based on digital twinning, and the system comprises a digital twinning modeling and baseline calibration module which is used for building an aspheric surface processing digital twinning body and generating a baseline; the twinborn update and virtual-real residual calculation module is used for calculating virtual-real residual update digital twinborn bodies; the reinforcement learning candidate strategy generation module is used for generating reinforcement learning candidate strategies through the reinforcement learning strategy network; the model predictive control optimization module is used for establishing a model predictive control optimization problem and performing rolling prediction; the double-strategy fusion control module is used for executing virtual processing simulation and generating a control vector; and the virtual-real closed-loop adaptive convergence execution module is used for executing aspheric surface processing to realize closed-loop adaptive convergence control. According to the method, digital twinning is combined with reinforcement learning and model prediction control, intelligent optimization of aspheric surface machining is achieved, and the method has the advantages of being high in precision and stability and rapid in convergence.

The invention discloses a high-power ceramic heater based on a new energy automobile and a manufacturing method of the high-power ceramic heater, and relates to the technical field of ceramic heater manufacturing. The invention comprises: a hollow tubular ceramic matrix; the temperature sensing layer, the first ceramic substrate, the heating layer, the second ceramic substrate, the first metal layer and the first electroplating alloy layer are sequentially attached to the outer side of the ceramic base body; the second metal layer and the second electroplating alloy layer are sequentially attached to the inner side of the ceramic base body. Through surface treatment of the novel heating slurry, the novel ceramic material, the metal layer and the electroplated alloy layer and innovative design of the integrated temperature sensing layer, the high-power ceramic heater is excellent in performance, service life, safety, temperature control and temperature impact resistance, and can cope with a harsh working environment; a more stable and efficient heating solution is provided; due to the innovative design, the ceramic heater is more reliable and durable under high-power, high-pressure and complex working conditions.