12177 results about "Corrosion" patented technology

The invention relates to the technical field of welding, in particular to a corrosion steel welding cooperative control method and system. Comprising the following steps that welding seam geometric parameters, molten pool dynamic characteristic parameters and welding heat input parameters in the corrosion steel welding process are collected in real time through a multi-dimensional sensor array; constructing a corroded steel welding seam feature space model based on the welding seam geometric parameters, and determining material corrosion grade distribution and mechanical property parameters of a welding seam area in combination with a preset corroded steel material database; a molten pool form evolution prediction model is established through an adaptive Kalman filtering algorithm by utilizing the dynamic characteristic parameters of the molten pool and the welding heat input parameters, and the solidification behavior and the welding seam forming trend of the molten pool are predicted in real time; according to the material corrosion grade distribution, the mechanical property parameters and the molten pool forming trend, a dynamic adjustment strategy of the welding process parameters is generated through a multi-objective optimization algorithm; the reliability and safety of the corrosion steel welding joint can be improved.

The invention relates to the field of welding process control, and discloses a pipeline all-position automatic TIG (Tungsten Inert Gas) welding method which comprises the following steps: collecting pipeline geometric parameters, welding position angles and material attribute data in real time through multi-source data fusion; constructing a Gaussian process regression dynamic response model, coupling a nonlinear mapping relationship among the process parameters, the molten pool morphology and the corrosion tendency index, and dynamically adjusting the weight of the model based on the welding position angle; a hierarchical strategy of Bayesian optimization and model prediction control is adopted to generate a parameter solution set meeting the fusion depth constraint and the corrosion threshold value, and the molten pool oscillation frequency is used as feedback to correct the current in real time; the heat accumulation evolution trend is predicted through a hidden Markov chain, and parameter closed-loop migration and trajectory compensation are achieved in combination with molten pool flow field coupling correction. The problems of uneven forming quality and corrosion risk caused by space displacement, dissimilar metal interface effect and dynamic disturbance in all-position welding are solved.

The invention relates to the technical field of gas pipeline safety assessment, in particular to a gas pipeline safety assessment early warning system and method based on data analysis. The method comprises the following steps: collecting gas pressure data of a gas pipeline at multiple points at the same time, carrying out time-space synchronization processing to obtain aligned gas pressure data so as to construct a continuous gas pressure field of the pipeline, based on the gas pressure field, identifying the pressure distribution difference of the pipeline, estimating the transient flow velocity of the gas, continuously recording the transient flow velocity of the gas, and deducing the change of the flow velocity. Judging the deformation condition of the inner wall of the pipeline in combination with air pressure field data, positioning a deformation area, reconstructing a pipeline frame, analyzing deformation response, identifying a deformation type, identifying a corrosion evolution trend, performing safety evaluation, judging the gas circulation degree and performing physical safety evaluation. According to the invention, dynamic monitoring of the gas pipeline is realized, a data-driven safety management mode is promoted, the early warning capability of potential risks is improved, and a more intelligent safety assessment and early warning mechanism is formed.

The invention provides a 2.5 D substrate manufacturing method and a packaging structure. The 2.5 D substrate manufacturing method comprises the following steps: providing a first carrier on which a metal part and an intermediate layer are mounted; a metal column is arranged in the intermediate layer; forming a protective layer covering the metal component and the interposer on the first carrier; a first recess is formed on the metal feature. The interposer and the protective layer are ground such that the interposer and protective layer surfaces are lower than the surface of the metal feature. Forming a first dielectric layer with a first opening on the surfaces of the intermediate layer and the protective layer; the first opening exposes the metal column. Forming a seed layer in the first opening; the seed layer extends to the surface of the metal part and fills the first groove. A wiring layer is formed on the seed layer. The bonding force of the seed layer and the first dielectric layer can be improved, the corrosion to the side wall of the interposer in the etching process is prevented, and the packaging quality and precision are improved.

The invention provides a natural gas pipeline leakage probability calculation method and system based on a genetic algorithm, and relates to the technical field of probability calculation, and the method comprises the steps: collecting pipeline operation parameters, building a pipeline structure dynamic stress model, a material fatigue model and a corrosion damage model, carrying out the coupling analysis of the three models, and obtaining a risk assessment parameter matrix; a leakage risk assessment initial model is constructed as a fitness function, and a leakage probability calculation model is obtained through genetic algorithm optimization. According to the method, the pipeline leakage risk can be accurately predicted, accurate evaluation and early warning of pipeline safety are realized, and the pipeline operation safety is improved.

The invention relates to the technical field of equipment monitoring, in particular to an equipment corrosion evaluation and life prediction method and application, and the method comprises the following steps: deploying a sensor network in an easily-corroded area of coal chemical equipment, and collecting multi-dimensional data; carrying out abnormal value elimination, data compression, time synchronization and space-time alignment preprocessing on the collected multi-source data; image features are extracted through a convolutional neural network, processed data are analyzed through an LSTM-attention model, and a fuzzy comprehensive evaluation matrix is established to evaluate the corrosion level; a physical model based on the Faraday electrolysis law and a data driving model based on the Transform network are constructed, and the residual life is predicted through Bayesian network fusion output and Monte Carlo simulation. Through fusion of multi-source data and an intelligent algorithm, accurate evaluation of the corrosion state of the equipment and accurate prediction of the residual life are realized, and safe and efficient operation of the coal chemical equipment is guaranteed.

The invention provides an equipment corrosion thinning life prediction method and system, and relates to the technical field of life prediction, and the method comprises the steps: deploying edge computing nodes at a plurality of equipment sites to collect corrosion data, carrying out the encryption through employing a differential privacy algorithm, and constructing a federated learning network for model training; and the central server extracts prediction experience through knowledge distillation to form knowledge priori, the edge nodes predict the corrosion rate and the residual life based on real-time data, and the server generates a comprehensive evaluation report and continuously optimizes the model. According to the method, safe sharing and collaborative prediction of the equipment corrosion data are realized, the prediction precision is improved, and the data privacy is protected.

The invention belongs to the technical field of metal material engineering, and relates to a light high-toughness low-cost aluminum alloy and a preparation method thereof.The alloy comprises, by mass, 7.0%-9.2% of Mg, 2.5%-4.0% of Zn, 0.06%-0.20% of Zr, 0.01%-0.03% of Sb, main impurities including Fe smaller than or equal to 0.15%, Si smaller than or equal to 0.12%, other single impurities smaller than or equal to 0.05%, the total impurity smaller than or equal to 0.15% and the balance Al. Compared with 2xxx series and 7xxx series aluminum alloys, the alloy has certain advantages in the aspects of density, specific strength, ductility, corrosion resistance and the like, and has a remarkable cost advantage compared with a low-density aluminum-lithium alloy, so that the core competitiveness of an alloy product is improved, and the alloy product has the potential of becoming a next-generation commercial aluminum alloy.

The invention discloses a semi-solid injection-molded high-strength corrosion-resistant magnesium alloy and a preparation method thereof. The magnesium alloy comprises the following components in percentage by mass: 7%-8.5% of Al, 1%-4% of Zn, 0.1%-0.8% of RE, 0.02%-0.5% of Ca and the balance of Mg and inevitable impurities. Through component design and process optimization, the liquidus temperature of the alloy is lower than 610 DEG C, and the alloy is insensitive to temperature in the solid fraction interval of 20-40% and is suitable for semi-solid injection molding; the Al content is controlled to form a net-shaped Mg17Al12 phase as a corrosion barrier, and Zn and RE / Ca cooperate to achieve heat treatment strengthening and oxidation film densification. The problem that strength and corrosion resistance of a traditional magnesium alloy are difficult to consider at the same time is solved, and the magnesium alloy is suitable for high-performance light-weight components of automobiles, aerospace and the like.

The invention relates to the technical field of offshore wind power, and discloses a bearing performance degradation evaluation method for an offshore wind power foundation structure, which effectively solves the problem of neglecting corrosion heterogeneity in the prior art by acquiring initial three-dimensional geometric point cloud data and historical service data and constructing a first finite element model. The model better fits the actual structure state; the local damage evolution and cumulative effect are simulated by means of a second finite element model, meanwhile, material degradation evaluation is combined, the interaction of three key factors including corrosion thinning, local damage and material mechanical property degradation is comprehensively considered, and the defect that the multi-factor coupling influence is not fully solved in the prior art is overcome; the extreme environment load condition is introduced to construct the third finite element model, the performance degradation law of the structure in the extreme environment can be analyzed, and then the reliability and applicability of evaluation are improved by establishing a mathematical relation model and predicting the full life cycle bearing performance.

The invention relates to the technical field of corrosion detection, in particular to a grounding grid corrosion intelligent monitoring system which comprises an electrochemical data capture module, a corrosion behavior analysis module, a corrosion probability evaluation module and a monitoring strategy optimization module. According to the method, data errors and abnormal values are filtered and corrected, the overall quality of data is improved, the accuracy of analysis results is ensured, and in corrosion behavior analysis, the future trend of corrosion is effectively predicted through dynamic change detection of electrochemical properties and calculation of the corrosion rate; the time sequence analysis of the electrochemical impedance data not only enhances the prediction accuracy, but also improves the understanding depth of corrosion behaviors, the corrosion probability evaluation module adds consideration of random changes to the whole prediction model through the application of the Markov chain, so that the model is closer to the uncertainty of the real world, and through the optimization of the processing flow, the prediction accuracy is improved. The real-time performance and the early warning capability of the monitoring system are obviously improved, and the reliability and the operation accuracy of the system are enhanced.

The invention provides a method and system for estimating the vertical bearing capacity of a steel pipe pile, and relates to the technical field of pile foundation engineering.The method comprises the steps that a static cone penetration test is conducted on a seabed stratum needing to be arranged for a steel pipe pile foundation, experimental data are obtained and subjected to normalization processing, soil behavior types are divided, and soil layer mechanical parameters are inverted; calculating side friction resistance and end resistance of the steel pipe pile based on the soil layer mechanical parameters to obtain initial static ultimate bearing capacity; historical equivalent cyclic load experimental data of waves in the construction sea area are obtained, an equivalent cyclic load reduction coefficient, a liquefaction reduction coefficient and a time-varying corrosion reduction coefficient are constructed, and a comprehensive time-varying reduction coefficient is constructed; the initial static ultimate bearing capacity is corrected based on the comprehensive time-varying reduction coefficient, the vertical bearing capacity of the steel pipe pile in the long-term service period is predicted, and the time-varying ultimate bearing capacity is obtained; setting an evaluation threshold according to the time-varying ultimate bearing capacity, dynamically adjusting a bearing capacity grading threshold interval, and outputting a bearing capacity grading evaluation result.

This application relates to a test device applied to a coupled environment of stress, wear, and corrosion, and a quantitative evaluation method, and belongs to the field of failure analysis of materials. The test device includes a stress-loading mechanism configured to load a stress on a sample, a corrosion mechanism configured to conduct an electrochemical corrosion test on the sample, and a wear mechanism configured to wear a sample. The test device applied to a coupled environment of stress, wear, and corrosion of this application can establish a wear-stress-corrosion coupled action test process, and can investigate service behaviors of various metallic materials and metal matrix composites under conditions close to actual service conditions to obtain key behavior data under a multi-factor coupled action, quantitatively analyze a wear, a corrosion, a wear-corrosion interaction, a stress-wear interaction.

The invention relates to the technical field of flood discharge tunnel detection, and discloses a flood discharge tunnel automatic inspection and erosion defect intelligent detection method. The method comprises the following steps: acquiring structural state data in the flood discharge tunnel and performing standardization processing; dividing standard classification data according to preset hydrological working condition intervals, and extracting multi-modal sensing features of each interval to generate a working condition feature set; monitoring the switching frequency of the hydrological working condition interval, and activating a dynamic analysis strategy to identify an abnormal working condition interval when the switching frequency exceeds a preset threshold value; performing feature decoupling on the working condition feature set of the non-abnormal working condition interval according to the matching degree of the historical erosion stage feature and the current multi-mode sensing feature, and separating out an erosion feature subset; on the basis of coupling relevance of mechanical parameters and hydraulic parameters of the tunnel structure, parameter collaborative correction is carried out on the erosion feature subset; and finally, reversely tracing a potential defect source region along a defect evolution path by utilizing the corrected erosion feature subset, determining a repair priority and outputting a maintenance instruction.

The invention discloses an anti-leakage primary and secondary fusion complete ring main unit, and relates to the technical field of ring main units, the anti-leakage primary and secondary fusion complete ring main unit comprises a ring main unit body and further comprises an air pipe, the two ends of the air pipe are communicated with an air inlet and an air outlet formed in the upper end of the ring main unit body respectively, and a plurality of cooling fans are fixed to the side, away from the air pipe, of the air outlet; the looped network box body is divided into a plurality of mounting chambers through a plurality of inner partition plates, and air ports are formed in the sides, close to the mounting chambers, of the air pipes; the interior of the air pipe is divided into a plurality of cavities through a plurality of outer partition plates, and each cavity corresponds to the corresponding installation chamber. The air pipe is sleeved with an airflow path switching assembly, the airflow path switching assembly comprises a sealing plate arranged on the lower surface of the air pipe in a sliding mode, and the sealing plate is provided with a plurality of corresponding holes matched with the air openings; the problems of metal corrosion, circuit board damping, sensor misjudgment and threat to equipment safety caused by internal condensation and water accumulation due to moisture permeation of heat dissipation holes of the ring main unit are solved.

The invention provides a titanium-doped high-nickel ternary positive electrode material and a preparation method thereof. The titanium-doped high-nickel ternary positive electrode material comprises a high-nickel ternary positive electrode material and a titanium-doped element, and the content of the titanium-doped element accounts for 0.5-5wt% of the titanium-doped high-nickel ternary positive electrode material. The preparation method comprises the following steps: preparing a nickel-cobalt-manganese hydroxide precursor; uniformly mixing the nickel-cobalt-manganese hydroxide precursor with a lithium source, sintering and cooling to obtain a high-nickel ternary positive electrode material; and mixing and sintering the high-nickel ternary positive electrode material and a reducing titanium source to obtain the titanium-doped high-nickel ternary positive electrode material. Reducing titanium is used for modifying the high-nickel ternary material, more stable Ni < 2 + > is enriched on the surface of the material through an oxidation-reduction reaction to serve as a protective layer, corrosion of electrolyte to the material is reduced, and the surface stability of the material is improved; the titanium element can enter material crystal lattices more easily compared with a common doping method; the lattice structure strength of the material is improved through a relatively strong Ti-O bond, and excellent cycling stability and rate capability are obtained.

The invention is suitable for the technical field of electrical equipment corrosion detection, and provides an electrical equipment corrosion detection method based on double-spectrum collaborative analysis and space-time prediction, and the method comprises the following steps: carrying out fusion analysis on a visible light image and an infrared image of acquired electrical equipment, and outputting position information and morphological category of a corrosion region; a binocular vision system and an IMU sensor are combined to calculate three-dimensional space coordinates, main direction angles and environmental parameters of the corrosion area, and pose data are generated; inputting the pose data into a preset corrosion extension path prediction model for processing, and outputting physical characteristic parameters; fusing the dual-frequency RTK GPS positioning data, the IMU attitude data and the physical characteristic parameters to construct a space-time association data set, and inputting the space-time association data set into a preset space-time diagram neural network model to analyze a space-time evolution relationship of diagram structure modeling corrosion nodes; and outputting microscopic and macroscopic prediction results. The identification accuracy of corrosion characteristics and the corrosion detection efficiency can be improved, and the labor cost and the operation risk are reduced.

The invention discloses a high-strength and high-toughness aluminum nitride ceramic and a preparation method thereof, and relates to the technical field of ceramics, a sol-gel method is adopted to coat the surface of aluminum nitride with a stable shell layer to form a core-shell structure, meanwhile, the low lattice mismatch rate of a core-shell interface is utilized to reduce thermal resistance, and toughness and thermal conductivity are both considered; according to the external magnetic field tape casting method, the magnetic dipole moment orientation principle is utilized, an external magnetic field is applied in the tape casting stage, the in-plane mechanical property is improved, and the fracture toughness is improved through the magnetism of aluminum nitride whiskers; a reinforcement is introduced to improve the mechanical property and corrosion resistance of the aluminum nitride ceramic material, multi-granularity powder is compounded, large-particle aluminum nitride powder is used as a sintering and heat-conducting framework material, and high activity provided by submicron particles is utilized to promote sintering, so that the sintering temperature of aluminum nitride can be remarkably reduced, and the performance is greatly improved; and the aluminum nitride substrate expands more application fields on a future packaging circuit.

The invention discloses a color-coated steel plate weather resistance evaluation method based on multi-source data fusion, and relates to the technical field of color-coated steel plate weather resistance evaluation. The method comprises the following steps: acquiring color-coated steel plate data based on Internet of Things sensing equipment and preprocessing the color-coated steel plate data; in an experimental environment, performing subitem weather resistance evaluation based on the preprocessed data of the color-coated steel plate, and determining a weather resistance evaluation grade of each subitem; if the weather resistance evaluation grades of all the sub-items are qualified, comprehensive weather resistance evaluation is conducted on the color-coated steel plate based on different simulated use environments, the risk grade of the color-coated steel plate in the simulated use environment after the weather resistance evaluation of the sub-items is determined, and multi-dimensional data are obtained through Internet of Things sensing equipment and fused and analyzed; practical accurate evaluation and comprehensive risk judgment of the appearance, the corrosion resistance and the mechanical property of the coating are achieved, and the problems that in an existing evaluation method, due to a single data source, the evaluation result is one-sided, and the weather resistance of the color-coated steel plate in the complex environment cannot be comprehensively reflected are solved.

The invention relates to the technical field of ceramic materials, in particular to a ceramic composite material and a preparation method thereof.The ceramic composite material is prepared from, by weight, 30-35 parts of silicon carbide, 15-20 parts of boron nitride, 10-15 parts of silicon dioxide, 8-11 parts of additive based on modified filler and 7-10 parts of ball milling agent based on sodium alginate reconditioning modification. According to the ceramic composite material, silicon carbide and boron nitride are matched with silicon dioxide, the additive based on the modified filler and the ball-milling agent based on sodium alginate reconditioning modification are blended and coordinated, and through coordination and synergism of the raw materials, the obtained product can achieve coordinated improvement of strength, wear resistance and thermal conductivity; and the product has remarkable heat-resistant and corrosion-resistant stability effects.

The invention discloses a rolling and annealing treatment process for a copper-steel composite strip, and relates to the technical field of material rolling, the process comprises the following steps: selecting a high-purity copper plate and a stainless steel plate, and depositing a nano nickel / graphene composite transition layer through a magnetron sputtering technology; the stainless steel layer is promoted to deform through front-section low-speed high-pressure rolling, and the copper layer interface bonding force is improved through rear-section high-speed low-pressure rolling; performing short-time local annealing by using a high-frequency induction coil; honeycomb-shaped micro-pits are formed in the stainless steel surface through the laser micro-texture technology, and the interface bonding force is improved in combination with the nano-nickel / graphene layer. Copper layer hardening is eliminated through low-temperature annealing, stainless steel recrystallization is promoted through medium-temperature annealing, and a nanometer precipitated phase is fixed through rapid water cooling; the heating rate is controlled, and nitrogen-hydrogen mixed gas is used for preventing oxidation; the rolling process and the annealing process are seamlessly connected, and the temperature, the stress and the atmosphere are detected in real time through an online monitoring system. The mechanical property, the corrosion resistance and the machining stability of the copper-steel composite strip are remarkably improved.

The invention discloses a method for testing corrosion resistance of high-precision stainless steel. The method comprises the following steps: acquiring multi-dimensional microscopic characteristic data of a sample surface and determining a microscopic sensitive area; applying multi-field coupling dynamic excitation to the sensitive area to determine a critical condition for triggering corrosion; triggering initial corrosion according to a critical condition and performing adaptive tracking on an expansion process to obtain spatio-temporal data; monitoring the environmental parameter change of the microcell based on the spatio-temporal data, and analyzing the corresponding relationship between the surface topography change and the environmental parameter change to determine a key condition for forming a feedback amplification effect; and according to the key conditions, executing an accelerated test of multi-level oscillation enhancement, and carrying out stage decomposition treatment to obtain a corrosion resistance prediction result. According to the technical scheme, a dynamic feedback mechanism between the surface microstructure and the corrosion behavior can be accurately disclosed, the problem of evaluation deviation caused by neglecting microstructure evolution in a traditional method is solved, and accurate prediction of the long-term corrosion resistance of the high-precision stainless steel in a complex service environment is achieved.

The invention belongs to the field of metal materials, and particularly relates to a 448 MPa grade hot-rolled pickled steel plate for an automobile and a production method of the 448 MPa grade hot-rolled pickled steel plate. The steel plate is mainly suitable for manufacturing automobile chassis structural parts. The steel comprises the following chemical components: C, Si, Mn, Al, Nb, Ta, Zr and Y, P is limited to be less than or equal to 0.015%, S is limited to be less than or equal to 0.005%, N is limited to be less than or equal to 0.003%, and the balance is Fe and inevitable impurities. The yield strength of the steel plate is larger than or equal to 308 MPa, the tensile strength is larger than or equal to 448 MPa, the transverse elongation A is larger than or equal to 42%, the hole expansion rate is larger than or equal to 125%, transverse cold bending is conducted by 180 degrees, D = a, the steel plate is qualified, the surface quality is good, oxide scale stripes and chromatic aberration defects are avoided, the surface roughness Ra is 1.00-1.40 micrometers, and the steel plate has good corrosion resistance.

The invention provides a structural material corrosion damage cross-scale evaluation method and system, and belongs to the field of service performance cross-scale evaluation. The method comprises the following steps: firstly, collecting corrosion data of related structural materials, establishing a structural material service safety evaluation database based on the corrosion data, and then respectively extracting material scale characteristics and structural scale characteristics of corrosion damage of the structural materials; predicting the service life of the structural material according to the scale characteristics of the material; setting a service safety evaluation index of a material scale and measuring the service safety evaluation index; predicting the service life of the structural material according to the structural scale characteristics; setting a service safety evaluation index of a structure scale and measuring the service safety evaluation index; and carrying out cross-scale correlation on the material scale characteristics and the structure scale characteristics, constructing a transmission model for representing the service performance through material-structure cross-scale correlation, fusing the evaluation indexes of the material scale and the structure scale, generating the evaluation index of the structure material, and evaluating the service performance of the structure material. The accuracy and precision of corrosion damage evaluation are improved.

The invention discloses an intelligent gas valve remote control and early warning system based on the Internet of Things, and relates to the technical field of valve monitoring. The valve processing module is used for preparing an intelligent valve through 316N stainless steel subjected to grain boundary processing, and a sealing ring, a fiber grating array and a QCM sensor are arranged on the intelligent valve; and the intelligent control module is used for acquiring the strain size of the fiber bragg grating and vulcanized film data through the fiber bragg grating array and the QCM sensor, and determining the lubricant release amount and the current regulation density. Strain of the valve rod is monitored in real time through the fiber bragg grating array, segmented friction force is obtained, and a nano lubricant is automatically released according to the friction force, so that the friction coefficient can be reduced, flexible opening and closing of the valve are ensured, and meanwhile, the surface density change of a vulcanized film is detected through the QCM sensor; and the valve rod is automatically triggered to rotate for self-cleaning or electrolytic polishing treatment, so that corrosion development can be effectively inhibited.

The invention discloses a surface topography modeling method and particularly provides a roughness calculation formula based on Fourier series and polynomial combination, Fourier series can effectively describe periodic roughness features of a surface, a polynomial function can describe an overall deformation trend of the surface, the advantages of the Fourier series and the polynomial function are combined, and the surface topography modeling method has the advantages that the surface topography modeling efficiency is improved. The method can accurately simulate the random roughness and overall deformation characteristics of material corrosion, terrain, sea wave plane and other phenomena, and avoids the problem that the traditional surface topography modeling method is difficult to accurately describe the randomness and nonlinear characteristics of a complex surface based on simple statistical model or experimental data fitting. According to the method, the morphological characteristics of phenomena such as material corrosion, topography and sea wave planes can be simulated more accurately, and technical support is provided for analysis and prediction in related fields.

According to the mullite castable preparation method based on comprehensive utilization of the secondary aluminum ash nonferrous smelting slag, components are regulated and controlled by controlling the molar ratio of Al2O3 to SiO2, so that porous light mullite stably falls into a mullite phase region, and generation of excessive corundum phases is avoided. PMMA microspheres, corn flour, carbonized rice husks and SiO2 coated calcium carbonate composite pore-forming agent systems are adopted, and a layered slurry formula, gradient slip casting and segmented sintering processes are combined, so that the porosity and strength distribution are accurately regulated and controlled, and low-temperature sintering and amorphous phase change control are realized. By optimizing the grading of the porous light mullite aggregate and adding the homologous fine powder, the bonding strength and compressive strength of the castable are improved. And finally, the surface of the castable is coated with a compact mullite coating, so that the porosity is reduced, and the erosion resistance, corrosion resistance and stripping resistance are remarkably improved. The obtained castable has the advantages of light weight, high temperature resistance, high strength, low cost and excellent thermal stability and erosion resistance.

The invention relates to the technical field of pipeline detection, in particular to an infrared thermal imaging full-dimensional monitoring method for corrosion of a pipeline under a thermal insulation layer, which comprises the following steps of: acquiring temperature distribution under the thermal insulation layer and screening measuring points with consistent directions, extracting a boundary continuous region to calculate thermal probability, identifying abnormal measuring points and extracting time sequence characteristics, and predicting and marking response delay measuring points based on a model. And generating a CUI risk region division result. According to the method, a temperature difference direction consistency identification mechanism is constructed through space sequence subdivision and heat flow direction trend judgment of pipeline surface temperature distribution data, a measurement point set with clear space heat conduction characteristics is obtained through continuous screening, and a gradient change rate local extreme value is further taken as an identification basis; the method comprises the following steps: constructing a thermal anomaly probability evaluation parameter by combining spatial density and change intensity to realize preliminary identification of an abnormal point, then introducing a time sequence temperature parameter to construct a multi-dimensional dynamic feature set, and completing multi-step temperature prediction through normalized combination calculation after model training.

The invention relates to the technical field of monitoring, in particular to a method and system for detecting and evaluating the corrosion risk of an offshore wind power steel structure. The method comprises the following steps: acquiring corrosion environment parameters and corrosion response parameters of a corrosion area in the offshore wind power steel structure; according to the corrosion environment parameters and the corrosion response parameters, the real-time corrosion rate of the corrosion area is determined; determining a local stress concentration factor of the corrosion area according to the three-dimensional scanning characteristics of corrosion deposits in the corrosion area; the dynamic pressure parameters of the marine environment serve as dynamic boundary conditions, the real-time corrosion rate and the local stress concentration factor serve as the basis, and the structural rigidity degradation amount of the steel structure in the corrosion area is determined through finite element iteration; according to the structural rigidity degradation amount, the structural safety coefficient of the steel structure in the corrosion area is determined; and determining the corrosion risk of the steel structure in the corrosion area according to the dynamic pressure fluctuation range of the marine environment and the structure safety coefficient of the steel structure in the corrosion area.

The invention provides a production method of 440MPa-grade normalized high-strength structural steel for a ship body, and belongs to the field of ship body structural steel manufacturing, the production process route of the steel comprises smelting, die casting, rolling, rapid cooling, finishing, normalizing and tempering, the thickness of a produced steel plate is 8-20mm, and the steel comprises the following chemical components in percentage by mass: 0.06-0.10% of C; si: less than or equal to 0.40%; mn is equal to 0.90%-1.20%; less than or equal to 0.015% of P; s: < = 0.005%; the ratio of Ni to Cr is (0.90%-1.30%): (0.50%-0.65%); v is equal to 0.030 percent to 0.050 percent; cu is equal to 0.15%-0.35%; n is less than or equal to 0.0040%, and the balance is Fe and inevitable impurities. The microstructure of the steel is a bainite tempered structure and ferrite, and the average grain size of the ferrite is smaller than or equal to 10 micrometers. The yield strength of the steel is larger than or equal to 440 MPa, the tensile strength is larger than or equal to 600 MPa, the yield ratio is smaller than or equal to 0.75, the impact absorbing energy at the temperature of 60 DEG C below zero is larger than or equal to 200 J, the ductile-brittle transition temperature is not higher than 80 DEG C below zero, and a product has good corrosion resistance.