258 results about "Pitting corrosion" patented technology

The invention discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention belongs to the field of prediction of fatigue failure caused by surface defects under rolling contact loads, and particularly relates to a rolling contact fatigue pitting corrosion prediction method considering crystal plasticity, a corresponding computer readable storage medium and electronic equipment. The method comprises the following steps: S1, constructing a crystal plastic constitutive model of a coupling damage accumulation theory; s2, developing the model in the step 1 into a UMAT subprogram by using Fortran, and embedding ABAQUS into the UMAT subprogram; s3, establishing a representative volume element crystal plastic finite element model; s4, applying a periodic boundary condition and a shear load, obtaining a shear stress-strain curve, carrying out a torsional fatigue test, obtaining fatigue damage parameters of the material, and determining constitutive model parameters of the material; s5, establishing a crystal plastic finite element model of the roller and raceway contact pair; s6, applying boundary conditions in two steps; and S7, observing a damage evolution path to the surface, and obtaining the rolling contact fatigue pitting corrosion life. The method can fill the blank of rolling contact fatigue pitting corrosion prediction methods at present.

The invention belongs to the technical field of metal materials, and particularly relates to a high-corrosion-resistance magnesium alloy plate with filiform corrosion characteristics and a preparation method of the high-corrosion-resistance magnesium alloy plate. Based on the total amount of the magnesium alloy plate, the magnesium alloy plate is prepared from the following elements in percentage by mass: 6 to 9 percent of Al, 0.05 to 0.15 percent of Sc, 0.05 to 0.15 percent of Y, 0.05 to 0.15 percent of Mn and the balance of Mg and inevitable impurity elements; the preparation method of the alloy comprises the following steps: smelting an alloy cast ingot, carrying out solution treatment on the cast ingot, extruding into a plate, and then carrying out multi-pass rolling treatment and aging heat treatment regulation. The magnesium alloy plate has a phase structure of a dispersed Mg17Al12 phase, the corrosion behavior of the magnesium alloy plate is typical filiform corrosion characteristics, and compared with traditional pitting corrosion, the magnesium alloy plate has the advantages of being small in corrosion depth and small in destructiveness. The magnesium alloy plate provided by the invention has excellent mechanical properties and corrosion resistance.

The invention relates to the technical field of computer aided design, in particular to a steel plate pitting corrosion simulation method and system based on a cellular automaton model.The method comprises the steps that all slope curve segments corresponding to all corrosion pit morphology curves are obtained, and the directional variation index of each depth position is determined according to the depth position of the slope curve segments; acquiring a plurality of slope areas in the corrosion pit under different corrosion time with different solution concentrations to analyze the abnormal corrosion condition, and determining the local corrosion progressive coefficient of each depth position by combining the expansion coefficient; obtaining the number of intersections between the depth positions of each type of slopes and each type of local erosion progressive coefficients, and generating a dynamic rule of evolution of the cells to the corresponding type of slopes in combination with a directional variation index; on the basis of a dynamic rule, the cellular automaton model with the optimal goodness of fit is obtained by training the LSTM network, the problem of directional evolution under a finite element rule is avoided, and powerful help is provided for researching the real pitting process of the steel plate.

The invention discloses a corrosion-resistant aluminum alloy profile and a preparation method thereof, and belongs to the technical field of aluminum alloy profiles. By optimizing the components of the corrosion-resistant aluminum alloy, the strength of the aluminum alloy profile can be guaranteed, and the corrosion resistance of the aluminum alloy profile is positively influenced. Besides, the corrosion-resistant coating is formed on the surface of the corrosion-resistant aluminum alloy base material in a laser cladding mode, the corrosion resistance of the aluminum alloy profile can be remarkably improved while the application performance of the aluminum alloy profile is guaranteed, and in the corrosion-resistant coating, nickel powder can enhance pitting corrosion resistance and intergranular corrosion resistance, so that the corrosion resistance of the aluminum alloy profile is improved. The adhesive force with an aluminum alloy base material is improved; the boron nitride can improve the acid resistance and wear resistance of the surface of the aluminum alloy profile and block a corrosion channel; the lanthanum oxide and the cerium dioxide have a synergistic effect, so that surface grains can be refined, air holes generated in the cladding process are reduced, the compactness of the coating is improved, the compatibility with an aluminum alloy base material is promoted, and the apparent quality of the aluminum alloy profile is guaranteed.

The invention discloses a corrosion resistance detection device and detection method for corroded foil processing, and relates to the technical field of material corrosion detection.The corrosion resistance detection device comprises a detection box, an exhaust mechanism is arranged at the upper end of the detection box, an ultraviolet lamp is arranged at the top of the inner wall of the detection box, and a traction mechanism is arranged on one side of the detection box. The atomized corrosive liquid is closer to corrosive media such as acid rain and salt mist in natural atmosphere, a complex corrosive environment can be simulated more truly, the superimposed effect of multiple corrosion mechanisms such as photo-oxidation corrosion and damp and hot corrosion can be researched through the synergistic effect of illumination, humidity and the corrosive liquid, the atomized corrosive liquid is close to a complex scene in practical application, and the application prospect is wide. By comparing the corrosion rate under the illumination condition or not, the promotion effect of ultraviolet rays on material corrosion, such as photocatalytic oxidation, corrosion foil on a corrosion swing frame mechanism and corrosion foil on a corrosion diffusion mechanism, can be determined, and the influence of different humidity levels on corrosion types, such as pitting corrosion and crevice corrosion, can be analyzed.

The invention relates to the technical field of lamps, in particular to a plating forming process of a lamp. The problems that the interface bonding force of the coating and the matrix is insufficient and the corrosion resistance of the coating is poor are solved. According to the method, micro-arc oxidation is carried out in the pretreatment stage, a compact Al-Si-O ceramic layer is generated on the surface of a high-aluminum matrix in situ, and in combination with deep diffusion of plasma siliconizing, a transition area with gradient Si distribution is constructed; the pitting corrosion resistance of the coating is optimized through the component gradient design of the inner-layer coating, the middle-layer coating and the outer-layer coating; the surface of the coating lamp is subjected to checkerboard scanning by using short pulse laser, so that the porosity and microdefects of the surface of the coating are improved, and the corrosion resistance of the coating is enhanced; a uniform oxynitride passivation film is generated on the surface of the coating in situ through low-temperature plasma post-oxidation-nitridation treatment, the defect that a film layer is easy to strip in a traditional passivation process is avoided, and the corrosion resistance of the material in long-term service can be stably maintained.

The invention belongs to the technical field of wind turbine generators, and particularly relates to a wind turbine generator fault early warning and abnormal parameter inspection method comprising the following steps: collecting historical operation data of a wind turbine generator, analyzing the data, and establishing a data model; the historical data comprises operation data of a generator, a gear box, a main bearing, a variable pitch system and an electrical system; vibration spectrums of a gearbox and a generator rotating part are monitored through an acceleration sensor to identify whether bearing pitting corrosion, gear tooth breakage mechanical faults and frequency are abnormal or not; an on-line monitoring device is installed in an oil way of the wind turbine generator to monitor the oil state in real time. The temperature of the gearbox and the bearing is detected through the thermal infrared imager, and whether the temperature is abnormal or not is monitored; abnormal sound signals of blade cracks or bearing early damage are captured through an ultrasonic sensor, and the blade is judged.

The invention discloses a material tensile strength testing device suitable for a high-humidity and high-salt environment, the material tensile strength testing device comprises a box body, two connecting plates are fixedly connected to the rear side, close to the top, of an inner cavity of the box body, the two connecting plates are arranged in a bilateral symmetry mode, and two concentric-square-shaped frames are jointly and fixedly connected between the two connecting plates; through mutual cooperation of a driving gear, a concave mounting plate, an A-shaped mounting plate, a driving motor, a cleaning gear, an inner gear ring and the like, the outer surface of a reinforcing steel bar can be pretreated, and the situation that a test result is affected by corrosion of the surface of the reinforcing steel bar is prevented; through mutual cooperation of a component moving motor, a connecting plate, a double-thread lead screw, a moving block, a salt spray test box, a linkage rod, absorption cotton and other components, when a steel bar is tested in a continuous salt spray environment, salt spray liquid drops are attached to the outer surface of the steel bar, so that the surface of a sample is condensed; a local electrolyte membrane can be prevented from being formed on the surface of the steel bar to accelerate pitting corrosion or galvanic corrosion.

The invention relates to economical corrosion-resistant 5Cr80 rare earth oil well pipe steel and a preparation method thereof, belongs to the technical field of corrosion-resistant oil well pipe steel for petroleum engineering, and aims to solve the problems that the cost is high due to addition of precious metals such as Mo and Ni in existing medium Cr steel, pitting corrosion is induced by inclusion of MnS, and a rare earth treatment process is unstable. The oil well pipe steel is prepared from the following chemical components in percentage by mass: 0.05 percent to 0.08 percent of C, 0.3 percent to 0.50 percent of Si, 0.80 percent to 1.5 percent of Mn, less than or equal to 0.01 percent of P, less than or equal to 0.0020 percent of S, less than or equal to 0.0020 percent of O, 0.0050 percent to 0.0350 percent of Ce, 4.5 percent to 5.5 percent of Cr, less than or equal to 0.035 percent of Al, 0.020 percent to 0.030 percent of V and the balance of Fe and inevitable impurities. The yield strength of the oil well pipe steel is larger than or equal to 580 MPa. The economical corrosion-resistant 5Cr80 rare earth oil well pipe steel which is low in cost and free of a Mo-Ni component system is used for replacing a traditional high-alloy pipe in a harsh oil and gas well environment containing high Cl <-> and CO2, and the economical corrosion-resistant 5Cr80 rare earth oil well pipe steel is suitable for batch production of corrosion-resistant oil well pipes of deep wells, ultra-deep wells and sulfur-containing and CO2-containing complex working conditions.

The invention relates to the technical field of alloy processing, and discloses a high-performance corrosion-resistant nickel-based alloy plate and a preparation method thereof, and the method comprises the following steps: raw material preparation, smelting treatment, casting treatment, hot rolling treatment, solution treatment, aging treatment and surface passivation treatment. According to the invention, when a composite acid system is adopted for passivation treatment, the concentration of chromium / molybdenum atoms in a passivation film is optimized and balanced due to the specific ratio of nitric acid to chromic acid, a chromium oxide provides a compact passivation barrier, and a molybdenum oxide endows the film layer with a self-repairing characteristic to synergistically inhibit pitting nucleation; meanwhile, nano titanium dioxide particles pretreated by silane are embedded into the passivation film in situ under the action of ultrasonic oscillation, organic pollutants adsorbed on a film layer can be decomposed by the photocatalytic characteristic of the nano titanium dioxide particles, the local corrosion effect of a battery caused by dirt coverage is avoided, and the performance of the battery is improved through double upgrading of components and the structure of the passivation film. And the alloy plate has excellent pitting corrosion resistance and fouling resistance in a chloride ion-containing medium.

The invention relates to the technical field of computer vision and image processing, in particular to an accessory identification method and system based on an image classification model. The method comprises the following steps: acquiring industrial accessory data, and carrying out topological structure analysis according to the industrial accessory data so as to obtain industrial accessory topological structure data; performing accessory corrosion simulation according to the industrial accessory topological structure data to obtain accessory corrosion data; positioning an accessory corrosion position based on the accessory corrosion data so as to obtain accessory corrosion position data, and performing image acquisition so as to obtain an accessory corrosion image; performing corrosion stress concentration point analysis on the accessory corrosion image to obtain a corrosion stress concentration point image; and performing type division on the corrosion stress concentration point image so as to obtain a pitting corrosion stress concentration point image and a uniform corrosion stress concentration point image. According to the invention, the fault identification and life prediction accuracy of industrial accessories is improved based on computer vision and image processing technologies.

The invention discloses a corrosion-induced stress full-coupling characterization method. The method comprises the following steps: characterizing an electrochemical corrosion degree based on a corrosion dynamics principle; representing a three-dimensional stress field of the metal structure based on a mechanical constitutive relation; the interaction of corrosion and stress is considered based on a corrosion expansion theory and a mechanical chemistry theory; a corrosion-induced stress full coupling model considering the interaction of corrosion and stress; and the influence of the corrosion induced stress on the corrosion process is quantified. According to the method, a corrosion expansion theory and a mechanical chemical effect are introduced into a mechanical constitutive equation and a current density equation respectively, and the corrosion-induced stress full-coupling characterization method is constructed. According to the method, collaborative characterization of force and electrochemical information in the corrosion dynamic evolution process is realized, stress evolution information induced by the corrosion process is characterized, the influence of corrosion induced stress on the corrosion process is considered, and time nonlinear characteristics and spatial heterogeneity of mechanical and electrochemical parameters in the pitting evolution process are disclosed.

The invention belongs to the technical field of stainless steel composite plates, and particularly relates to an iron-nickel stainless steel composite plate production process which comprises the following steps: performing plasma sputtering cleaning on a carbon steel base layer; the iron-nickel-stainless steel composite layer is subjected to laser micro-cladding treatment to form a micro-groove array, and a nano nickel-titanium alloy transition layer is preset in the micro-groove array; explosive cladding is carried out in a helium and argon mixed gas environment with the oxygen content smaller than or equal to 10 ppm, so that the carbon steel base layer and the iron-nickel-stainless steel cladding layer are subjected to interface metallurgical bonding to form a composite plate blank; the composite plate blank is hot-rolled and water-cooled to 500 DEG C or below after being heated and subjected to heat preservation; and the rolled composite plate blank is placed in mixed gas of nitrogen and hydrogen for isolation annealing, the bonding strength and the shearing strength are improved through an interface gradient diffusion layer composite structure constructed through the nanoscale, and interface oxidation and stress concentration in the rolling process are inhibited through asymmetrical rolling and a nanometer heat insulation coating; and multi-stage controlled cooling and diffusion barrier annealing are cooperatively regulated and controlled, so that the pitting corrosion resistance potential of the iron-nickel stainless steel clad layer is improved.

The invention discloses a high-robustness multi-scale defect detection method for a metal matrix surface, and relates to the technical field of machine vision and surface defect detection. In order to solve the problems of large scale difference of metal matrix surface defects, strong background noise and easy missing detection of tiny targets in a complex service environment, an EMA-YOLO deep network proposed by the invention is characterized in that an efficient multi-scale attention (EMA) mechanism is introduced into a YOLOv8 backbone network, and the influence of background interferences such as surface water stains and oil stains on defect identification is inhibited through a cross-space learning strategy; a P2 layer-based high-resolution tiny target detection head is constructed, and shallow geometric details are reserved to accurately capture early pitting corrosion and microcracks; a Shape-IoU loss function is introduced, and through shape perception and adaptive weight adjustment, the positioning precision of cracks and irregular spalling defects with extreme length-width ratios is optimized. The EMA-YOLO deep network provided by the invention can effectively improve the accuracy, stability and robustness of multi-scale defect detection under a complex texture background.

The present application provides a highly pitting-resistant aluminum alloy internally threaded pipe and a surface treatment method thereof, comprising the following steps: performing zinc spraying treatment on the surface of the aluminum alloy internally threaded pipe to form a zinc layer; heating the aluminum alloy internally threaded pipe with the zinc layer formed on the surface to a first temperature at a first rate for a first time, heating the aluminum alloy internally threaded pipe at a second rate for a second time to a second temperature, and heating the aluminum alloy internally threaded pipe at a third rate for a third time to a third temperature under the protection of an inert gas, and then performing a heat preservation treatment; the first rate is greater than the second rate, and the second rate is greater than the third rate. The present application first sprays zinc on the surface of the aluminum alloy internally threaded pipe, and then performs a zinc infiltration treatment on the aluminum alloy internally threaded pipe with the zinc layer formed on the surface by heating the pipe at a gradually decreasing three-stage heating rate, which can significantly increase the zinc infiltration depth and improve the corrosion resistance of the aluminum alloy internally threaded pipe.

The invention provides a method for evaluating the corrosion behavior of a small hole of an anticorrosive coating under the action of current. The method comprises the following steps: (1) acquiring corrosion kinetic parameters of a metal material; (2) constructing a parameterized multi-physical field model; (3) simulating a corrosion evolution process; (4) verifying the reliability of the model through experiments; and (5) constructing a comprehensive evaluation index. Obtaining corrosion kinetic parameters (corrosion potential, corrosion current density, Tafel slope and exchange current density) of the metal material through a potentiodynamic polarization curve test; the method comprises the following steps: preparing an anticorrosive coating metal sample with artificial pores, constructing a parameterized multi-physical field model by combining finite element software, and simulating local current density distribution and corrosion evolution under different pore diameters (greater than or equal to 2 mm), spacing (greater than or equal to 0 mm) and current density (greater than or equal to 0 A / m < 2 >); the reliability (corrosion potential error lt, 20%) of the model is verified through experiments, a comprehensive evaluation index is constructed based on multi-parameter sensitivity analysis, and rapid evaluation of the corrosion risk of the small hole of the anticorrosive coating and protection scheme optimization are achieved.

The invention relates to the technical field of image recognition, in particular to an agricultural machinery gear pitting measurement method based on KANs, which comprises the following steps: acquiring a gear pitting image through image acquisition equipment; unifying the resolutions of the gear pitting images and preprocessing the gear pitting images; making a segmentation label of the processed gear pitting image and dividing a data set, wherein the data set is divided into a training set and a verification set; the P-KAN module and the D-KAN module are combined with the convolution block, and a U-KAN + network is constructed; inputting the training set into the U-KAN + network, and performing iterative updating training on the U-KAN + network by using a cross entropy loss function considering category weight; and inputting the verification set into the trained U-KAN + network, segmenting an effective tooth surface and a pitting corrosion area of the gear, and detecting the gear through a segmentation index. According to the method, the segmentation precision of the gear pitting corrosion image can be effectively improved, so that the problem of efficiently and accurately detecting the gear failure in the gear contact fatigue test is solved.

The invention relates to the technical field of circuit board electroplating, in particular to a floating ball linkage type PCB electroplating bath liquid level mechanical adjusting device which comprises an electroplating bath, a switch button, a connecting rod mechanism and a guide rail and further comprises a floating ball, a driving assembly, an annular plate assembly and a protection assembly. The floating ball is driven to rotate through the driving assembly, pitting corrosion caused by the fact that the bottom of the floating ball is still below the liquid level for a long time is avoided, meanwhile, the situation that the weight of the floating ball is affected after electroplating liquid attached to the upper side of the floating ball is condensed into solid is avoided, and therefore the accuracy of liquid level measurement and control of the floating ball is guaranteed; meanwhile, the floating ball is separated from the fluctuating liquid level through the annular plate assembly, so that the influence of liquid level fluctuation on the floating ball is reduced to a certain extent; in addition, protection airflow is formed on the surface, close to the liquid level, of the connecting rod mechanism through the protection assembly, so that the surface, close to the liquid level, of the connecting rod mechanism is dry and clean, and the situation that the liquid level control accuracy of the floating ball is affected due to the weight change caused by condensation of by-products is avoided.

The present invention belongs to the technical field of metal materials, and particularly relates to a high-corrosion-resistant magnesium alloy sheet having filiform corrosion characteristics and a preparation method thereof. Based on the total amount of the magnesium alloy sheet, in terms of mass percentage, the magnesium alloy sheet contains the following elements: Al: 6-9%, Sc: 0.05-0.15%, Y: 0.05-0.15%, Mn: 0.05-0.15%, and the balance is Mg and inevitable impurity elements; the alloy preparation method includes: alloy ingot melting, ingot solution treatment, extrusion into sheets, and then multi-pass rolling treatment and aging heat treatment regulation. Among them, the magnesium alloy sheet has a phase structure of dispersed Mg 17 Al 12 phase, and its corrosion behavior is typical filiform corrosion characteristics, which has the advantages of shallow corrosion depth and small destructiveness compared with traditional pitting corrosion. The magnesium alloy sheet in the present invention has excellent mechanical properties and corrosion resistance.

The invention belongs to the technical field of anti-freezing solutions, particularly relates to an anti-freezing cooling liquid and a preparation method and application thereof, and provides an all-organic heat transfer system anti-freezing cooling liquid which contains efficient all-organic adsorption acid and an anti-corrosion inhibition additive, has better anti-corrosion and anti-rust capabilities on various metals, and has a good anti-freezing effect. And the anti-corrosion agent has excellent anti-rust function for soldering tin, cast aluminum, cast iron, steel, brass, red copper and the like, especially the anti-corrosion performance of a wet cylinder sleeve of a heavy-duty vehicle. The lubricating oil has excellent cavitation erosion resistance and pitting corrosion resistance, and has an excellent protection effect on an engine cooling system. The anti-freezing cooling liquid product is free of precipitates, stable in performance, safe, non-toxic, green and environment-friendly.

The invention discloses an aluminum pipe, a heat exchanger and application thereof, and belongs to the technical field of heat exchange materials. The aluminum pipe comprises an aluminum pipe base material layer and a zinc impregnation layer arranged on the surface of the aluminum pipe base material layer. The zinc impregnation layer has a zinc concentration gradient which is gradually reduced from outside to inside; the maximum zinc concentration of the zinc impregnation layer is 0.01 to 10 weight percent; the thickness of the zinc impregnation layer is larger than 0 and smaller than or equal to 400 micrometers. The zinc impregnation layer is formed on the surface of the aluminum pipe base material layer, corrosion can be limited from expanding to the inner layer, longitudinal expansion of corrosion is avoided, pitting corrosion is inhibited, the zinc content distribution of the zinc impregnation layer at different zinc impregnation depths can be controlled by controlling the maximum zinc concentration and thickness of the zinc impregnation layer, and the corrosion resistance of the aluminum pipe is improved. The zinc impregnation layer has a good anodic protection effect on the aluminum pipe, pitting corrosion extension is effectively inhibited, the corrosion resistance of the aluminum pipe is improved, and the service life of the aluminum pipe is prolonged.

The invention relates to the technical field of medical instruments, in particular to a medical magnesium alloy anchor and a preparation method thereof.The technical scheme includes that the medical magnesium alloy anchor comprises an anchor material, and the anchor material is a magnesium alloy anchor outer structure support formed by at least one of zirconium dioxide prepared through 3D printing, polycaprolactone and PLGA; the composite amorphous alloy prepared from the other three kinds of magnesium, zinc and calcium alloy powder is filled in pores of the support, and finally surface treatment is carried out on the surface of the anchor. Compared with a traditional magnesium alloy anchor nail, a stable supporting structure is provided for the anchor nail by means of the 3D-printed outer structure support and the internal high-strength amorphous composite magnesium alloy, the structural stability after implantation can be effectively maintained through the structural design, and the stability of the anchor nail is improved. The instant loss of mechanical properties caused by pitting corrosion cannot occur after corrosion, and the problems of structural integrity damage, deformation, displacement and the like possibly caused by early corrosion of a traditional anchor in a bone are solved.

The invention belongs to the field of stainless steel pickling, and particularly relates to an austenitic stainless steel whole-hydrochloric-acid-based stepped pickling method. At present, stainless steel pickling is mainly based on a mixed acid pickling (nitric acid and hydrofluoric acid) system, the problem of three-waste discharge exists in the pickling process, the pickling process is only suitable for removing ferritic stainless steel with weak binding force between an oxide layer and a metal matrix through pickling, and the oxide layers on the surfaces of ferritic cold plate stainless steel and austenitic stainless steel are difficult to remove. In order to solve the problems, hydrochloric acid is used for providing an acid environment, a pre-pickling and grading final pickling cooperative treatment method is adopted, a compact oxide layer on the surface of the austenitic stainless steel can be effectively removed, surface polishing and surface passivation can be achieved through the anodic polarization effect, and the stainless steel surface after pickling is free of pitting corrosion and intergranular corrosion phenomena; and the pickled stainless steel surface has high smoothness, the leveling and polishing quality of the BA plate can be remarkably improved, meanwhile, the production cost is low, and pickling waste liquid can be regenerated and recycled.

The invention relates to the technical field of detection, in particular to a valve quality detection method and system. According to the method, a valve is divided into sub-blocks, ultrasonic thickness, eddy current pitting corrosion signals, temperature, pH value, Cl <-> concentration and other environmental parameters are synchronously collected, a comprehensive corrosion coefficient is generated through a formula, a laser displacement meter is used for conducting three-dimensional scanning on a valve rod to obtain crack point cloud data, the volume density is calculated, and a health index is generated through fusion for decision making. The system comprises a multi-mode sensor, an active scanning module, a data analysis module and a decision output module, and the detection precision is improved through an anti-shake mechanism and a transfer learning model. According to the method, the problems of insufficient local corrosion capture, crack depth deficiency, complex structure shielding leak detection and the like in traditional detection are solved, accurate evaluation of the health state of the valve is realized, a scientific basis is provided for predictive maintenance of valves in petrochemical engineering, electric power and other industries, and the risks of production shutdown and equipment damage are effectively reduced.

The invention relates to the technical field of corrosion monitoring, and provides a titanium equipment pitting early warning method and system based on electrochemical impedance spectroscopy analysis, and the method comprises the steps: collecting an electrochemical impedance spectroscopy original response signal, and carrying out the spectroscopic normalization of the electrochemical impedance spectroscopy original response signal to obtain an effective characteristic segment; performing decoupling analysis on the real part and the imaginary part of the effective feature segment to obtain decoupling component data, and performing phase correction on the decoupling component data to obtain a calibrated component; constructing an impedance characteristic spectrum by taking the capacitive reactance characteristic in the calibrated component as a center and the impedance characteristic in the calibrated component as an edge; performing precursor targeted identification on the impedance characteristic spectrum to obtain pitting precursor characteristics; performing development gradient deduction on the pitting precursor features to obtain pitting evolution data; performing hierarchy judgment on the pitting evolution data to obtain a risk hierarchy, and generating early warning information according to the risk hierarchy; according to the method, the pitting early warning efficiency of the titanium equipment can be improved.

The invention provides a method for repairing the surface of a hammer head of a precision forging machine through laser cladding of iron-based composite powder. The method comprises the following steps: firstly, performing flaw detection treatment on a hammer head with a damaged surface to determine a to-be-repaired hammer head, correcting the to-be-repaired hammer head, and then cleaning and drying; and then, preset laser cladding powder and the optimal repairing parameter range are selected to conduct laser cladding on the hammer head, finish machining is conducted on the hammer head subjected to laser cladding, and the repaired hammer head is obtained. According to the method, the structural design of an original hammerhead can be kept unchanged, the iron-based high-temperature alloy repairing layer is cladded on the surface of the hammerhead of the precision forging machine, the coating effect that the structure is compact, microdefects are few, and the metallurgical bonding strength of the cladding layer and the base material is high is obtained, surface repairing can be conducted on the damaged faces such as abrasion, deformation and pitting corrosion of the hammerhead, and the service life of the hammerhead is prolonged. And compared with the original hammerhead, the repaired hammerhead has the advantages that the wear resistance, the impact resistance and the like are obviously improved, the production cost and the time cost of an enterprise are reduced, and the production efficiency is effectively improved.

The invention relates to a method for prefabricating pitting corrosion on a metal surface, which comprises the following steps of: soaking metal in a corrosion solution, regularly taking out the metal, recording time and pitting corrosion depth, counting the pitting corrosion depth, and calculating the cumulative probability of the maximum pitting corrosion depth according to the definition of Gumbel extreme value distribution to obtain the central parameter of the maximum pitting corrosion depth under different soaking time conditions; fitting and establishing a pitting growth curve according to the center parameter of the maximum pitting depth; and the pitting depth is adjusted by controlling the soaking time. Compared with an acceleration method based on an electrochemical means, the method provided by the invention is not limited by experimental equipment, and can perform pitting corrosion on the prefabricated surface of a sample with a larger size under different conditions.

The invention relates to a heat exchange device pitting corrosion detection method and heat exchange device pitting corrosion detection device.The heat exchange device pitting corrosion detection method comprises the steps that in the salt spray test process of a heat exchange device, a target infrared thermal image of the heat exchange device is obtained; target area detection is carried out on the target infrared thermal image, when the target area exists in the target infrared thermal image, the temperature difference between the target area and a surrounding area and the shape of the target area are determined, and the target area comprises a bright area and / or a dark area; and according to the temperature difference and the shape of the target area, a target pitting corrosion result of the heat exchange device is obtained through analysis. According to the application, in-situ monitoring of pitting corrosion and pitting corrosion failure of the automobile heat exchange device is realized under the condition that the heat exchange device is not damaged.

According to the anodic oxidation technology suitable for the 6061 aluminum alloy, multi-component silica sol is adopted for conducting room-temperature dipping hole sealing and low-temperature curing on a 6061 aluminum alloy anodic oxidation film, and technology energy consumption and equipment requirements are reduced. The dense silicon network seals the membrane holes, prolongs the diffusion path of a corrosive medium and prevents the corrosive medium from invading the substrate, thereby greatly improving the corrosion resistance of the membrane layer and inhibiting pitting corrosion.