68 results about "Localised corrosion" patented technology

The invention relates to the technical field of material corrosion and protection, discloses a TP2 copper corrosion behavior testing method based on temperature regulation and control, and aims to solve the problem that in the prior art, various physical and chemical parameters in the corrosion process are difficult to synchronously obtain under the same microscale, so that a local corrosion dynamics mechanism cannot be deeply revealed. The core of the system is a coaxial three-function composite probe integrated with thermal, acoustic and electrochemical sensing units, and the coaxial three-function composite probe is matched with a synchronous laser heating module and a multi-physical field synchronous control system. During testing, the probe scans on the surface of a sample, local thermal disturbance is applied to each pixel point, and the interface temperature, acoustic impedance and corrosion rate data of the point are synchronously collected. According to the invention, through high integration in structure and accurate synchronization in time, the space mismatch error of multi-source measurement is eradicated, and multi-physical field distribution images which are accurately corresponding to each other can be obtained in situ and losslessly.

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 discloses a steel structural member local corrosion intelligent identification and evaluation method based on deep learning, and the method comprises the steps: obtaining a steel structure surface image through an imaging device, carrying out the feature extraction and corrosion region identification of an input image through a YOLOv12 semantic segmentation model which introduces a CBAM self-attention mechanism, and generating a pixel-level corrosion mask; the actual physical area of the corrosion area is automatically calculated based on an area calculation algorithm of conversion of mask integration and ground sampling distance; the residual bearing performance of the corroded component is evaluated in combination with the corrosion area ratio and the morphological characteristic prediction model; and finally realizing visual display and report output of detection results, area data and performance indexes through a graphical interface. According to the invention, full-process automatic processing of local corrosion of the steel structural member from detection, segmentation, quantitative measurement and calculation to member performance evaluation is realized, and closed-loop intelligent evaluation from visual detection to mechanical evaluation is realized.

The invention relates to the field of solar cell manufacturing, and particularly discloses a polishing additive for solving the black core problem in the BC cell pre-rough polishing process and a use method of the polishing additive. 0.1-5% of a defoaming agent; 0.1 to 0.5 percent of pH (Potential of Hydrogen) regulator; and the balance of deionized water. According to the method, the accelerant, the defoaming agent and the pH regulator in a specific ratio are combined, so that the oxidation reaction on the surface of the silicon wafer is more uniform and controllable; the accelerant accelerates formation and dissolution of a surface oxide layer, and generation of black cores is effectively avoided; the synergistic effect of the defoaming agent ensures that bubbles generated by the reaction can be quickly desorbed, the problem of uneven local corrosion caused by bubble retention is prevented, the surface of the polished silicon wafer is completely free of black nuclei, and ideal surface conditions are provided for subsequent processes.

The present application relates to the field of electromagnetic nondestructive testing, and particularly to a zooming pipeline nondestructive flaw detector and a method for detecting flaws of a metal wall surface with a coating layer. The flaw detector comprises a probe, an excitation source, a signal receiver and a controller. In the probe, each excitation coil and detection coil is connected to a support through an independent movable joint. The movable joint is used to adjust the orientation of the excitation coil or the detection coil. The excitation source is electrically connected to each excitation coil and is used to output an excitation signal to the excitation coil. The signal receiver is electrically connected to the detection coil and is used to obtain an induced signal of the detection coil. The controller adjusts the posture of the movable joint according to the coating layer thickness, the outer diameter and the wall thickness of the pipeline to be detected, so that the orientations of each excitation coil and detection coil intersect at the defect position of the pipeline wall surface to be detected, thereby enhancing the received induced signal. The present application solves the technical problem that the existing pulsed eddy current detection technology cannot meet the detection requirements of local corrosion defects of pipelines and containers with a coating layer.

The invention belongs to the technical field of coal mine machinery lubrication and hydraulic transmission, and discloses an environment-friendly total-synthesis concentrated solution for a hydraulic support and a preparation method of the concentrated solution. The biological sensing microcapsule corrosion inhibitor is characterized by comprising 0.5%-3.0% of a biological sensing microcapsule, 8.0%-15.0% of a main corrosion inhibitor, 2.0%-6.0% of an auxiliary corrosion inhibitor, 4.0%-10.0% of a water-soluble lubricant, 0.05%-0.2% of an anti-foaming agent, 1.0%-3.0% of a pH buffering agent and deionized water. Wherein the biological sensing microcapsule has a core-shell-shell structure, is integrated with electroactive microorganisms, an electron mediator carrier and a corrosion inhibition precursor release layer, and can trigger targeted release of benzotriazole derivatives when the pH value of a local corrosion microarea is less than or equal to 5.5. The corrosion inhibitor has excellent corrosion protection performance and environment-friendly characteristics, effectively overcomes the problem of inactivation of microorganisms under severe hydraulic working conditions through a microcapsule encapsulation strategy, realizes accurate matching of corrosion signal in-situ sensing and corrosion inhibition response, remarkably improves the anti-rust performance under high-shear and wide-temperature-range working conditions, and has wide application prospects. And meanwhile, the requirements of environmental protection and sealing material compatibility are met.

The application discloses a kind of corrosion-resistant magnesium alloy with self-repair protection and preparation method thereof, it is related to magnesium alloy technical field, the mass percentage content of each component of the corrosion-resistant magnesium alloy includes: Al: 6-15%;Mn: 0.01-0.3%;Y: 0.1-2%;Cd: 0-0.1%;Be: 0-0.1%;The rest is Mg and unavoidable impurities.By adding trace alloying elements to control the organization, with the help of dense passivation oxide film formed on the surface of alloy matrix, to inhibit the corrosion failure problem caused by the damage of matrix surface film layer to pitting or surface corrosion, under long time neutral salt solution environment, when local corrosion occurs on the surface of magnesium alloy matrix, the protection of autogenous passivation film can prevent the corrosion medium from continuing to expand to the inside of matrix, and the formation of multiphase in the organization is avoided as much as possible, and the number of primary cell is reduced, so as to reduce electrochemical corrosion.

The invention discloses a chloride ion concentration driven corrosion evolution probability type cellular automaton simulation method, and relates to the field of metal corrosion evolution simulation, and the method comprises the following steps: S1, setting a cellular space size and a cellular size, and constructing a three-dimensional cellular space; s2, cell types are defined, and initial distribution of various types of cells is completed in a three-dimensional cell space; s3, setting a reaction mechanism of a model iteration process, and judging a conversion rule among various types of cells according to a corrosion probability Pa, a passivation probability Pb and a passivation film fracture probability Pd; s4, a chloride ion concentration matrix, a probability enhancement coefficient and an attenuation coefficient are introduced, the cellular transformation probability in the iteration process is corrected through the real-time concentration value of chloride ions, and aggravation of the local corrosion process is achieved; and S5, comparing test and simulated corrosion morphology results under the same mass loss rate. According to the method, local corrosion difference can be effectively reduced on the basis of comprehensive corrosion, and support is provided for durability evaluation of the steel structure.

The invention relates to a grounding grid state detection method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining grounding resistance information of a grounding grid; detecting a first state evaluation result of the grounding grid according to the grounding resistance information; when the first state evaluation result represents that the grounding grid is in an abnormal state, performing local corrosion fracture evaluation on the grounding grid to obtain a second state evaluation result; and detecting the target state of the grounding grid according to the first state evaluation result and the second state evaluation result. By adopting the method, the state of the grounding grid can be accurately evaluated.

The invention provides an in-situ monitoring method and system for monitoring the corrosion behavior of a weathering resistant steel welded joint, and relates to the technical field of corrosion monitoring. An electrochemical impedance measurement value of a monitoring area is collected and serves as a boundary condition to be input into a pre-established electric field distribution model for solving, and the corrosion behavior of the weathering resistant steel welded joint is monitored. Therefore, a two-dimensional conductivity distribution is obtained in each monitoring period and a conductivity map is generated. A first conductivity map sequence is formed by repeating the process, and key components with the conductivity changing along with time are analyzed and extracted. And reconstructing a conductivity background in an uncorroded state based on the key components, and deducting the background from the first sequence to obtain a second conductivity map sequence representing conductivity change caused by local corrosion. And when the conductivity variable quantity in the second sequence exceeds a preset threshold value, judging that the monitoring area is corroded, and determining the corrosion position, outline and stage. According to the method, accurate positioning, form recognition and stage judgment of the corrosion behavior of the weathering resistant steel welded joint can be achieved.

This invention discloses a numerical simulation method for the corrosion rate of high-strength steel under marine stress environments, belonging to the field of corrosion and protection technology. The method includes the following steps: establishing a geometric model for simulation and meshing the model; setting material properties, including corrosion kinetic parameters and basic mechanical property parameters; applying boundary conditions to the geometric model to simulate the actual stress state of the high-strength steel plate; formulating a kinetic expression formula for the electrochemical reaction to describe the electrochemical behavior during corrosion; and performing a corrosion kinetic-mechanical coupling analysis to calculate the distribution of corrosion current, corrosion potential, and local corrosion rate. This invention, by constructing a multiphysics model, can accurately extrapolate and predict the dynamic corrosion rate of high-strength steel under different stresses and environmental parameters. It provides crucial theoretical basis and data support for the design, life assessment, and maintenance decisions of marine engineering structures.

The application discloses a kind of chloride ion concentration driven corrosion evolution probability type cellular automaton simulation method, it is related to metal corrosion evolution simulation field, including the following steps: S1: setting cell space size and cell size, construct three-dimensional cell space;S2: definition cell type and in three-dimensional cell space complete the initial distribution of each type cell;S3: set the reaction mechanism of model iteration process, to corrosion probability P a , passivation probability P b , passivation film rupture probability P d Determine the conversion rule between each type of cell;S4: introduce chloride ion concentration matrix and probability enhancement coefficient, attenuation coefficient, by the real-time concentration value of chloride ion to the cell conversion probability in iteration process is modified, realize the aggravation of local corrosion process;S5: compare the corrosion morphology results of test and simulation under the same mass loss rate.This application can effectively reduce the difference of local corrosion on the basis of general corrosion, provide support for steel structure durability evaluation.

The invention belongs to the technical field of microstructure simulation, and provides a method for simulating a local corrosion process of an Al-Cu-Li alloy laser welding joint aiming at the problem that a traditional CA model has defects in simulation of microscopic grain structure characteristics, the CA model is reconstructed on the basis of a Voronoi diagram method and test characterization data, and the local corrosion process of the Al-Cu-Li alloy laser welding joint is simulated. An intermetallic compound is introduced into a model for the first time, a three-dimensional CA model containing seven types of cells and five evolution rules is systematically constructed, and reproduction of local corrosion processes such as grain boundary preferential dissolution and corrosion channel expansion of a fusion region in an acid environment is achieved. Optimization design is carried out on model parameters based on a deep learning training algorithm, and the optimized model well reflects the actual intergranular corrosion morphology of the fusion zone.

The present application relates to a kind of microalloy low-cost martensitic stainless steel and its manufacturing method, based on the corrosion-resistant element Ni, Cr rich in laterite nickel ore, with laterite nickel ore smelting molten iron as the basis, while using ultra-low P industrial pure iron and high-carbon chromium iron for batching, to design the chemical composition of microalloy low-cost martensitic stainless steel, it includes the following chemical composition by mass percentage: C:0.26~0.29%, Si:0.19~0.49%, Mn:0.19~0.49%, S≤0.0015%, P≤0.015%, Ni:1.1~1.9%, Cr:12.1~13.9%, Ti:0.0050~0.0060%, 90×10 ‑4 %≤Zr+Mg≤130×10 ‑4 %, and the content of Zr, Mg satisfies Zr / Mg=2~4, the balance is Fe and inevitable impurities.The present application reduces production cost, improves the performance of local corrosion resistance, especially the performance of seawater corrosion resistance.

The invention relates to the technical field of metal material corrosion performance testing and evaluation, in particular to a method for quantitatively evaluating local corrosion tendency of steel based on SKP potential distribution. According to the method, after standardization treatment is carried out on the surface of a steel sample, surface micro-area potential distribution data are obtained by scanning a Kelvin probe, the areas and the average potential difference of a low-potential area and a high-potential area are identified and calculated, and then the local corrosion battery strength coefficient is calculated by combining the area ratio and the potential difference. And objective quantitative evaluation on the local corrosion tendency of the steel is realized. The method solves the problem that the traditional means can only qualitatively judge and cannot quantitatively evaluate the local corrosion tendency, has the advantages of rapidness, no damage, accurate quantification and the like, can be used for comparing the corrosion resistance of different steel materials or the same material in different process states, and provides a reliable basis for material research and development and engineering material selection.

The invention discloses an acid-making purification section tail gas treatment device and a treatment method thereof.The acid-making purification section tail gas treatment device comprises a dynamic wave scrubber, a first-stage efficient scrubber, a gas cooling tower and a second-stage efficient scrubber which are sequentially arranged along a tail gas moving path, and a main flue allowing tail gas to flow is arranged between the dynamic wave scrubber and the first-stage efficient scrubber; the lower part of the primary efficient scrubber is connected with a flue flushing pump, and the flue flushing pump is used for extracting circulating liquid from the primary efficient scrubber and enabling the circulating liquid to enter the dynamic wave scrubber along the main flue; the device has the beneficial effects that circulating liquid is extracted from the first-stage efficient washer through the flue flushing pump and enters the dynamic wave washer along the main flue, and the flowing direction of the circulating liquid in the main flue is opposite to the flowing direction of tail gas in the main flue, so that the circulating liquid has a certain flushing effect on the main flue; and the possible local corrosion phenomenon of the pipeline is avoided.

The invention relates to the field of chemical engineering, and particularly discloses a corrosion inhibitor self-adding device for acidification treatment of industrial materials, which comprises a mixing box, the mixing box is provided with a feed port for introducing acid liquor and a discharge port for discharging mixed liquor, the mixing box is provided with a stirring assembly, and the stirring assembly is provided with a stirring shaft. A stirring assembly is arranged on the mixing box, a driving mechanism connected with the stirring assembly is arranged on the mixing box, an adjusting assembly is arranged on the stirring assembly, a blocking assembly interacting with mixed liquid is arranged on the adjusting assembly, and a connecting assembly is arranged on the stirring assembly. According to the invention, the effect of uniformly stirring a mixed solution can be realized, a multi-stage turbulent flow effect can be formed, regular movement of the mixed solution can be destroyed, the phenomenon of vortex formation can be reduced, a corrosion inhibitor in the mixed solution can be uniformly distributed, the effect of following turbulent flow of the mixed solution can be realized, the corrosion inhibition effect can be improved, and the phenomenon of local corrosion of a material can be reduced; the acidizing treatment on the material is facilitated, and the product quality is improved.

This invention discloses a method for predicting the severity of localized corrosion environments based on the surrounding environment. The method includes: constructing a semi-closed simulation test system to simulate the internal local environment of equipment; conducting accelerated corrosion tests under different external environmental conditions, collecting external environmental parameters, internal local environmental parameters, and corrosion response data of metal samples; constructing a time-series feature matrix from the external environmental parameters; calculating a comprehensive corrosion risk index based on the corrosion response data; constructing and training a correlation prediction model from the time-series feature matrix to the comprehensive corrosion risk index using an attention mechanism long short-term memory network; collecting external environmental parameters in real time and inputting them into the trained correlation prediction model; and outputting a predicted value for the severity of localized corrosion environments at the target location of the equipment. This invention enables accurate and rapid assessment of internal corrosion risk based solely on externally measurable data, solving the problem of difficulty in directly monitoring the internal or localized corrosion environment of equipment.

The invention relates to the related technical field of substations, in particular to a substation grounding grid corrosion state evaluation method and system based on deep learning, and the method comprises the steps: interactively obtaining the structure data of a substation grounding grid, carrying out the graph convolution network modeling according to the structure data, and building a twin model through the learning of the spatial relation of each grounding grid; acquiring operation data of a transformer substation grounding grid; synchronously obtaining soil physicochemical property data; and updating the operation data and the soil physicochemical property data to the twinborn model, and establishing a corrosion state prediction result. The technical problems that static evaluation based on data of a single time point and a single node cannot identify the influence of local corrosion on the overall grounding performance and the evaluation precision of the corrosion state of the grounding grid of the transformer substation is limited are solved, and operation data and soil physicochemical property data are collaboratively updated to a twin model. Mapping the physical structure of the grounding grid and the spatial diffusion effect of local corrosion, and carrying out the precise evaluation of the corrosion state of the grounding grid of the transformer substation.

The present disclosure discloses a method for identifying the pipeline section with a high likelihood of internal corrosion failure. Through the three-dimensional multiphase flow simulation calculation of natural gas gathering and transportation pipeline, the flow parameters along the pipeline are obtained, and the data are collected; combined with the multiphase flow simulation parameters and data, the internal corrosion mechanism of the pipeline is clarified, the influencing factors of internal corrosion are identified, and the local corrosion rate along the pipeline is predicted by combining various corrosion influencing factors. Finally, the local corrosion failure criterion CRT is established, and the likelihood level of the internal corrosion failure is determined, which can be used to identify the high corrosion failure likelihood pipeline section of the natural gas gathering and transportation pipeline.

The application discloses a kind of anticorrosive and anti-seepage inner lining four fluorine storage tank, it is related to four fluorine storage tank technical field including: tank body, two sides surface of tank body is provided with two pull handle, and the both ends of tank body are provided with one connecting port respectively, and the inside of tank body is provided with inner lining cylinder, and inner cylinder mechanism includes: inner tank, and inner tank is located in the inside of tank body, and the both ends of inner tank are provided with one side tank cover respectively, and inner lining cylinder is located in the inside of inner tank, and drive assembly includes: drive box, and drive box is fixedly installed on the upper surface of tank body, and the inside of drive box is provided with drive motor, and the bottom surface of drive motor is fixedly connected with the upper surface of tank body, and detection mechanism includes: multiple elastic trigger ropes, and elastic trigger rope is located in the inside of inner lining cylinder, in the scheme, by being provided with inner cylinder mechanism and detection mechanism, effectively prevent the tank body rupture or leakage caused by excessive corrosion, avoid the overall failure caused by local corrosion too fast, to prolong the overall service life of tank body.

The utility model relates to the technical field of welding equipment, and discloses a titanium pipe orifice local corrosion area reinforcement welding mechanism, which comprises a rack, a power supply line, a welding gun main body and a titanium pipe main body, a fixing mechanism is arranged on the rack, an auxiliary mechanism is arranged on the fixing mechanism, the fixing mechanism comprises a worm, and the worm is connected with the welding gun main body. The worm is rotationally connected to the inner wall of the rear side of the rack through a bearing, the front end of the worm is fixedly connected with an adjusting disc, the worm is connected with a worm gear in a meshed mode, an inner ring of the worm gear is fixedly connected with a bidirectional threaded rod, the bidirectional threaded rod is in threaded connection with an adjusting plate, and the outer wall of the front side of the adjusting plate is fixedly connected with a clamping plate. Arc-shaped teeth are hinged to the inner walls of the bottoms of the clamping plates. According to the utility model, titanium pipelines with different diameters are bidirectionally clamped and fixed by arranging the worm, the arc-shaped teeth and other structures, so that the welding quality is prevented from being influenced by cracks at the welding part due to dislocation and looseness of butt joint of welding seams in the welding process.

The invention discloses a method and a device for determining the external corrosion type of a steel pipe based on computer vision. The method comprises the following steps: acquiring external corrosion failure image data and external corrosion working condition data of a to-be-identified pipeline; according to the external corrosion failure image data of the to-be-identified pipeline, using the trained machine learning model to identify whether the external corrosion morphology type of the to-be-identified pipeline is local corrosion or comprehensive corrosion; if the corrosion is local corrosion, determining the corrosion type of the to-be-identified pipeline based on a pre-constructed multi-modal identification model according to a first group of specified parameters in the external corrosion working condition data of the to-be-identified pipeline; and if the corrosion is comprehensive corrosion, determining the corrosion type of the to-be-identified pipeline based on a pre-constructed multi-modal identification model according to a second group of specified parameters in the external corrosion working condition data of the to-be-identified pipeline. The external corrosion type of the steel pipe can be quickly, accurately and effectively identified, the identification efficiency is high, the cost is low, and accurate data support is provided for steel pipe risk management and control.

A seawater pipeline dynamic water corrosion online monitoring device is arranged on a connecting pipeline and comprises a coupon monitoring module, a resistance probe monitoring module and an ultrasonic monitoring module, an integrated monitoring system flange is arranged on the connecting pipeline, and the coupon monitoring module, the resistance probe monitoring module and the ultrasonic monitoring module are all arranged on the integrated monitoring system flange. The coupon monitoring module is used for providing long-term corrosion rate data, a coupon is prepared from a material for connecting a pipeline, and the long-term corrosion rate is calibrated through the combination of mass loss and electrochemical impedance spectroscopy, and the resistance probe monitoring module can improve the acquisition precision of the dynamic water environment enhanced data and perform real-time online monitoring of the corrosion rate. And the ultrasonic monitoring module adopts a distributed array sensor layout and is used for monitoring the corrosion thinning condition and local corrosion characteristics of the pipeline, so that the system has the advantages of comprehensive monitoring dimensions, capability of performing real-time monitoring, high monitoring result precision and suitability for long-term use.

The invention discloses a system for monitoring the corrosion state of a sulfuric acid device on line, and relates to the technical field of corrosion monitoring of industrial equipment, and the system comprises an external reference calibration module used for providing corrosion baseline data and initial calibration of a sensor; the key window observation module integrates a corrosion-resistant transparent window, an internal reference sensor array and an industrial camera system and is used for acquiring local corrosion data and visual features; the distributed multi-parameter sensing network modules are distributed all over the equipment; based on a time sequence corrosion evolution model of a hierarchical self-attention mechanism, deep space-time correlation analysis and fusion processing can be carried out on multi-source heterogeneous data, and through multi-stage collaborative calibration, deep fusion of vision and sensing information and an intelligent prediction algorithm, the corrosion monitoring accuracy and early warning capability are remarkably improved, and the accuracy and the early warning capability are improved. The residual service life of the equipment can be predicted, and the maintenance decision is optimized, so that the safe, long-period and economical operation of the sulfuric acid device is powerfully guaranteed.

To provide a metal corrosion sensor capable of calculating a corrosion rate of a metal structure.SOLUTION: The metal corrosion sensor 10 is used to detect a corrosion rate of a pipe (metal structure) through which fresh water (liquid) flows. The metallic corrosion sensor 10 is sandwiched between a first metallic plate 11 and a second metallic plate 12, the first metallic plate 11 being made of the same material as the pipe and having a known thickness t1 and being exposed to fresh water (liquid), and the second metallic plate 12 being made of a different material from the first metallic plate 11 and being shielded from fresh water. A spacer 13 that electrically insulates the first metal plate 11 and the second metal plate 12 from each other, and an ionic crystal 14 that is held by the spacer 13 in a state of being shielded from fresh water, and that is exposed to fresh water when a through-hole is formed in the first metal plate 11 due to local corrosion, thereby electrically connecting the first metal plate 11 and the second metal plate 12, wherein a current flowing between the first metal plate 11 and the second metal plate 12 can be measured.SELECTED DRAWING: Figure 3

The utility model relates to the field of bolt fastener processing, and discloses a bolt fastener anti-corrosion treatment device which comprises an anti-corrosion spraying coater, a water pump can be started to pump a cleaning agent stored in a collecting mechanism into a water guide pipe, and then the cleaning agent enters a spraying pipe frame to be sprayed out. The surface of the bolt fastener is flushed, dust and oxide which are not blown away are flushed away, then the dust and the oxide fall into the collecting mechanism along with the cleaning agent to be collected and treated, later secondary use is facilitated, and then the bolt fastener continues to be conveyed. The air drying mechanism is used for blowing air to the surface of the bolt fastener to dry redundant cleaning agents attached to the surface of the bolt fastener, through cleaning of the cleaning device, the attachments on the surface of the bolt fastener can be effectively cleaned, the situation that the attachments on the surface of the bolt fastener can be blocked by the impurities during later spraying processing treatment is avoided, and the spraying anti-corrosion effect of the anti-corrosion spraying machine is improved; and the situation of local corrosion caused by coating falling and blistering is avoided.

The utility model relates to the field of sulfuric acid storage, and discloses a sulfuric acid storage device which comprises a liquid storage container, a liquid inlet pipe, a liquid discharge pipe, a rotary driving part and a stirring assembly, the liquid storage container is provided with a cavity, a sinking groove is formed in the bottom face of the cavity, and the liquid inlet pipe is arranged on the liquid storage container and communicates with the cavity; the liquid discharging pipe is fixedly arranged on the liquid storage container, the liquid discharging pipe is provided with a liquid inlet, the liquid inlet is located in the sinking groove, the rotating driving part is fixedly installed on the liquid storage container, and the stirring assembly is located in the cavity and is in transmission connection with the rotating end of the rotating driving part. The stirring assembly is driven by the rotary driving part to continuously stir sulfuric acid in the cavity, so that the liquid layering phenomenon is effectively eliminated; the matching design of the settling tank and the liquid discharge pipe ensures concentrated discharge of sediments and prevents accumulation of the sediments at the bottom; forced convection formed by the stirring assembly can balance temperature distribution in the cavity, and the local corrosion risk is reduced.

The application discloses a kind of weather-resistant sealing strip structure's modeling simulation method and system, comprising: the initial three-dimensional grid model of the sealing strip to be analyzed is constructed and is given initial material attribute, sequentially applied to model precipitation simulation working condition and dry environment simulation working condition, extract the surface microcrack node in open state and input to local corrosion evolution prediction model to output local corrosion degradation coefficient, after replacing initial corrosion rate parameter, Markov model for surface microcrack node is constructed and degradation coefficient is converted into state transition probability matrix, subsequently, the grid cell degradation state is calculated by Markov model, the surface microcrack node corresponding to the grid cell that occurs perforation failure is marked as high-risk perforation node.The application solves the problem that the prior art cannot effectively simulate and accurately predict the in-situ local punctiform perforation failure caused by microcrack water evaporation concentration.