16292 results about "Metal" patented technology

A semiconductor device with a metal foil and a sealing resin material. Metal foil is formed integrally with the sealing resin layer.

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

The invention discloses a metal surface quality detection method and system, and relates to the technical field of metal surface quality detection. The method is used for solving the problems of low microdefect detection precision, weak technological parameter relevance and closed-loop control deficiency of the high-reflection surface. The metal surface is irradiated through multi-angle coherent light field serialization, the phase offset of interference fringes is analyzed to generate three-dimensional shape data, and reflection noise interference is restrained. Defect depth gradient is extracted based on dynamic segmentation of process parameter constraint, deposition temperature and pressure deviation are quantified through deconvolution calculation, and process deviation feature distribution is constructed. Finite element simulation is utilized to generate a process-morphology mapping atlas library, cross-domain invariance features are extracted through depth constraint manifold alignment and comparative learning, and a causal correlation model of defect types and process parameters is established. And dynamically adjusting process parameters according to the weight gradient, and reflowing data to update the manifold rule. And high-precision three-dimensional defect detection, process deviation traceability and adaptive parameter optimization are realized.

The invention relates to a preparation method of phenylmethylamine. The technical scheme adopted by the invention for mainly solving the problems of high catalyst loss, low production efficiency and high intermittent operation labor intensity is as follows: the preparation method of the phenylmethylamine comprises the following steps: mixing the raw material of cyanobenzene with a solvent material or at least one of one part of product materials in a mixing unit, introducing the mixture into a fixed bed hydrogenation reactor to be in contact with hydrogen and a catalyst and carry out multi-phase continuous hydrogenation reaction to obtain a product material containing phenylmethylamine, separating the product material to obtain a phenylmethylamine product, wherein the catalyst is a metal loaded catalyst; and the metal is selected from at least one of Pd, Pt, Cu, Ni, Mo and Fe. The preparation method can be used for preparing phenylmethylamine.

The invention relates to the technical field of steel production plan optimization based on multi-dimensional constraint dynamic coupling, in particular to a molten iron operation plan arrangement method based on dynamic constraint modeling hybrid optimization, which comprises the following steps: acquiring order data, equipment state data and constraint rule data to generate structured input parameters comprising order priority labels; constructing a multi-objective optimization model based on the molten iron distribution constraint and the maintainable time length of the equipment, extracting the maintenance conflict relationship between the equipment groups, constructing a maintenance rule knowledge graph, and generating a dynamic constraint condition set; generating an initial molten iron distribution and maintenance plan through global search by adopting a genetic algorithm, and outputting a molten iron distribution path and an equipment maintenance time sequence through local optimization by combining a linear programming algorithm; according to the method, dynamic collaborative optimization of molten iron distribution and equipment maintenance is achieved, and the resource utilization rate, the order delivery rate and the production system stability are improved.

A metal-part welding apparatus based on an angular direction change, comprising a base (1) and a welding torch body (2). The apparatus does not require the cooperation between two operators for welding, and by means of the welding torch body, circumferential weld seams can be automatically welded, thereby improving the work efficiency and welding precision. The present disclosure also relates to a metal-part welding method based on an angular direction change.

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.

The invention provides a parameter control method and system in the friction stir welding process, and relates to the technical field of welding equipment of metal materials. The method comprises the steps that before friction stir welding is started, working condition information of a to-be-welded workpiece is input into a welding process simulation model for virtual test welding; screening out a plurality of groups of standard process parameter combinations meeting preset welding quality requirements; in the friction stir welding process, the change trend of all the technological parameters is determined according to the real-time technological parameter combination within the first preset time period; and if it is determined that the deviation risk exists in the current welding state within the second preset time period in the future according to the change trend, the standard technological parameter combination with the maximum similarity with the real-time technological parameter combination in the standard technological parameter library is determined as the target technological parameter combination to conduct parameter control adjustment on the welding equipment. By implementing the method, the welding defects caused by sudden change of the process window can be overcome, and the stability of the welding process and the consistency of the welding seam quality are improved.

The invention relates to the technical field of welding platforms, in particular to a multifunctional welding process experiment platform and a process optimization system.The process optimization method comprises the following steps that a welding process setting module is constructed, and a welding mode, a groove type and a heat input scheme are preset; outputting the initial process configuration parameter set to drive a welding execution unit to perform automatic welding operation according to the initial process configuration parameter set; extracting a multi-dimensional process response vector including a stability index, metal fusion depth distribution and a heat affected zone expansion degree; outputting a welding seam grade result according to a preset quality grading standard, and generating a feedback identifier; and after updating, inputting to the step S2 again to form closed-loop optimization control. According to the method, digital modeling and evaluation of key indexes such as the welding stability, the fusion depth and the heat affected zone are achieved, and the problem that a traditional process depends on visual inspection and experience judgment is solved.

The invention discloses a method and tool for manufacturing a cold shield of a nuclear fusion device, and relates to the technical field of metal plate machining. The manufacturing method of the cold shield of the nuclear fusion device comprises the following steps: providing a sub-panel, a flange and a pipe fitting; the multiple sub-panels are welded, and a first middleware is obtained; welding the edge of the first middleware and the turnup to obtain a second middleware; after the pipe fitting is welded to the surface of the second middleware, a third middleware is obtained; and the third middleware is shaped. According to the method, the third middleware is shaped, that is, the third middleware is shaped after all welding procedures are completed, so that the third middleware has relatively small profile tolerance, the profile tolerance of the cold shield meets the design requirement, the assembly difficulty of the cold shield is reduced, and the risk of failure of the cold shield is reduced.

The invention belongs to the field of plastic product production, and particularly relates to a composite material for preparing a textile dyeing tube. The composite material mainly comprises the following components in parts by weight: 10 parts of PET resin, 10 parts of ASA resin, 1-6 parts of matt master batches, 1-3 parts of titanium dioxide, 1-2 parts of rosin, 0-1.5 parts of an antioxidant, 0-1 part of a fire retardant and 1-2 parts of a lubricating agent, wherein titanium dioxide is rutile titanium dioxide. Compared with the prior art, the components are good in compatibility; the molded product has excellent physical and mechanical properties, low glossiness, high strength (caused by titanium dioxide) and good tenacity, and is suitable for injection molding of plastic products; the metallic luster caused by titanium dioxide can be reduced; the noise can be reduced; titanium dioxide can be used for disinfecting under irradiation of an ultraviolet lamp; the composite material is very convenient; and the lubricating agent is added, so that the surface is relatively smooth.

The invention discloses a control method and system of a servo press, and relates to the field of press control, a force displacement curve is obtained in real time from a current punching period, a key feature vector of the force displacement curve is extracted, the key feature vector is compared with an ideal golden feature vector, and a multi-dimensional deviation vector is obtained. Particularly, a deviation decoupling method based on morphological analysis is introduced, and the total deviation can be accurately decomposed into a thermal drift compensation amount caused by the thermal effect of equipment and a material characteristic compensation coefficient caused by plate performance fluctuation by analyzing translation and zooming differences of a current curve and a gold curve in form. Therefore, independent and accurate compensation can be carried out for a physical source, the problems of information aliasing and compensation failure caused by the fact that disturbance sources cannot be distinguished in the prior art are effectively solved, intelligent and feed-forward type cooperative compensation for the next stamping period is achieved, and long-term stability and high precision of the production process are ensured.

The invention relates to the technical field of multi-source information analysis, in particular to a niobium-tantalum metal ore metallogenic evaluation system based on multi-source information analysis, which comprises a geologic structure association module, a mineral distribution interpretation module, a metallogenic environment adaptation module, a spatial feature analysis module and a potential region judgment module. According to the method, by introducing a multi-source data analysis and fusion method, the evaluation precision and comprehensive capability of resource exploration are effectively improved, analysis after information fusion is combined with relevance and spatial modes of different data types, it is ensured that mineralization potential evaluation is more accurate, the limitation of a single data source and manual analysis is overcome, and the method is suitable for popularization and application. According to the method, the identification precision and reliability of the mineralization law are improved, the potential area can be identified more accurately, resource potential analysis is optimized in combination with the adaptability of the mineralization environment, the efficiency and accuracy of determining the mineralization area are remarkably improved, the problems of information isolation and analysis deviation in a traditional method are avoided, and the scientificity and the practical application value of the exploration process are enhanced.

The invention discloses a micro proportional valve gradient composite coating and a preparation method thereof, and belongs to the technical field of micro proportional valve surface strengthening manufacturing. Aiming at the corrosion-resistant and wear-resistant requirements of the micro proportional valve under the working conditions of strong corrosion, multiple impurities and high pressure difference, the interface strengthening and corrosion-resistant and wear-resistant performance optimization of a metal matrix and a functional coating are combined, and metal / ceramic / polymer gradient material design, spraying parameter suitability research and a coating porosity / bonding strength control method are covered; the valve core and valve seat protection device is suitable for high-efficiency protection technical systems of valve cores and valve seats of precise instruments such as gas chromatographs and mass spectrometers.

The invention discloses a synthetic method of a water soluble ultraviolet light absorber BP-9. The method mainly comprises the following process steps: (1) carrying out methylation on the main raw materials of 2, 2', 4, 4'-tetrahydroxyl benzophenone, a transition metal salt catalyst and a mixed solvent which is prepared from dichloroethane and anhydrous ethanol in equal parts by weight to obtain 2, 2'-dihydroxyl-4, 4'-dimethoxyl benzophenone; (2) carrying out sulfonation reaction on the main raw materials of methylate, sulfamic acid and C1-C3 halohydrocarbon to obtain 2, 2'-dihydroxyl-4, 4'-dimethoxyl benzophenone-5, 5'-disulfonic acid; and (3) carrying out neutral reaction on the main raw materials of sulfonated product, inorganic base and ethanol water to finally obtain the BP-9 product. The synthetic method disclosed by the invention is few in reaction step, low in cost, high in product purity and stable in quality, and raw materials are easily available.

The invention discloses an anti-corrosion coating method for a steel structure, belongs to the technical field of metal anti-corrosion coating, and solves the problems of reduced anti-corrosion effect and short maintenance period caused by incomplete pretreatment, insufficient coating adhesive force and poor complex environment adaptability in the existing anti-corrosion coating process for the steel structure. According to the technical scheme, the method is characterized by comprising the steps that the surface of the steel structure is pretreated through chemical oil removal, sand blasting and acid pickling and phosphating; epoxy zinc-rich primer, epoxy micaceous iron oxide intermediate paint and polyurethane finish paint are sequentially sprayed, and plasma treatment is introduced in the coating of each layer so as to enhance the interface bonding force of the coating; the uniformity and the corrosion resistance of the coating are optimized by regulating and controlling spraying parameters, plasma processing power and a gas ratio; and finally, a gradient heating curing process is adopted, so that the compactness and durability of the coating are ensured. The method is mainly used for long-term anti-corrosion protection of steel structures such as bridges and buildings, and the anti-corrosion performance and the service life in a complex environment can be remarkably improved.

The invention relates to the technical field of metal cutting, discloses metal plate laser cutting equipment with a laser head collision early warning function, and aims to solve the problem that the collision risk of an existing cutting head and a convex part of a thin plate is high. Through the displacement component, the laser cutter, the positioning assembly and the central control unit, a metal sheet to be machined is placed on the workbench, then the laser cutter is used for cutting the metal sheet to be machined, in the whole operation process, pictures on the workbench can be shot through the industrial camera, and the working efficiency is improved. The real-time image is displayed on the controller through the real-time image display module, an image model is established through the 3D modeling module, a worker can observe more visually, when an irregular thin plate is encountered, setting is conducted through the height compensation module at the moment, the position of a tool bit of the laser cutter is always at the same height with the thin plate, and the machining precision is improved. Once the set equal height changes, the collision alarm module gives an early warning, and the overall safety performance is improved.

Provided herein are methods and apparatuses for reducing line bending when depositing a metal such as tungsten, molybdenum, ruthenium, or cobalt into features on substrates by periodically exposing the feature to nitrogen, oxygen, or ammonia during atomic layer deposition, chemical vapor deposition, or sequential chemical vapor deposition to reduce interactions between metal deposited onto sidewalls of a feature. Methods are suitable for deposition into V-shaped features.

The invention relates to the technical field of welding, and discloses an intelligent control method and system for the welding process of a thin-wall metal component, and the intelligent control method for the welding process of the thin-wall metal component comprises the steps that an initial welding parameter set is determined, and time synchronization is conducted; obtaining multi-source original data with timestamps in the welding process; time alignment is carried out; respectively calculating a current stability index, a heat accumulation index and a molten pool width measured value to obtain a key deviation index; based on the key deviation index, current adjustment amount, pulse parameter adjustment amount and position compensation amount are obtained through calculation; obtaining an adjustment amount set; the current welding parameters are subjected to amplitude limiting updating, and an updated current welding parameter set is obtained through a step-by-step transition method and a high-priority fast instruction; recording a welding process data log, and judging a welding state; carrying out comprehensive evaluation and data storage on the welding process; according to the method, various dynamic changes in the welding process are comprehensively coped with, and the stability and consistency of the welding quality are improved.

The invention relates to the technical field of metal welding automation control, in particular to a metal welding seam automatic tracking welding system based on machine vision. Comprising a data acquisition module used for acquiring initial three-dimensional geometric parameters of a welding seam and monitoring welding process parameters including welding current, arc voltage and welding speed; the thermal deformation prediction module is used for solving a weld joint thermal deformation displacement vector; the dynamic deviation evaluation module is used for calculating a dynamic deviation index; the risk grading module is used for judging the trajectory deviation risk as safety, first-level risk or second-level risk; the defect tendency prediction module is used for calculating an incomplete fusion index and a hot crack index; the comprehensive risk assessment module is used for determining a comprehensive process risk factor; and the track correction module is used for generating a corrected welding gun target track so as to carry out closed-loop correction control on the welding process. According to the method, the problem of trajectory deviation caused by thermal hysteresis and dynamic deformation is solved, and the tracking precision and stability of the welding path are remarkably improved.

The invention discloses a metal fatigue life prediction method under laser shock peening, and relates to the technical field of metal material fatigue life prediction. The invention discloses a metal fatigue life prediction method under laser shock peening. The metal fatigue life prediction method comprises the following steps of roughness model construction, roughness evolution simulation, roughness value calculation, material attribute endowing and fatigue life prediction. According to the method, the real surface is subjected to laser shock peening, the roughness evolution condition of the metal surface subjected to laser shock peening is accurately predicted, and then the fatigue life is predicted by adopting a method of combining a Basic-Manson-Coffin formula and continuous damage mechanics. The method fully considers the local complex stress-strain state under the evolution of the roughness surface microstructure after laser shock peening, truly simulates the fatigue progressive damage process of the sample after comprehensive consideration of laser shock peening, and can effectively improve the prediction precision of the fatigue life of the metal after laser shock peening.

The invention discloses a water heavy metal concentration simulation and prediction method, which comprises the following steps: integrating original monitoring data, hydrodynamic data, total suspended solids, image remote sensing data and human activity data, and generating a multi-source cleaning sequence data packet; executing cross-modal adsorption capacity estimation by using image remote sensing data in the data packet, inferring particle chemical composition and adsorption isotherm parameters from image textures, and generating a capacity feature packet containing an adsorption capacity upper bound; time-varying travel time is calculated based on the hydrodynamic data and the human activity data, causal alignment is performed on the capacity feature packet and the upstream signal, and a travel time alignment feature packet is generated; and in combination with metal fingerprint parameters, applying an adsorption capacity upper bound as a physical constraint on a form distribution constraint head, explicitly decoupling and predicting the form, and generating a prediction result packet. According to the method, the hydrodynamic physical mechanism and the particle adsorption chemical mechanism are deeply coupled, and the prediction precision and the physical consistency of the model under the unsteady state condition are improved.

The invention discloses a gradient gradual change type powder material as well as a preparation method and application thereof. The gradient gradual change type powder material comprises a non-metal core, a transition layer, a gradual change layer and a modification layer. The gradient powder material provided by the invention shows excellent strength-ductility synergistic effect, high fracture toughness and enhanced fatigue, wear and corrosion resistance, is good in metal wettability, can effectively reinforce a metal matrix and improve the performance of the metal matrix, can also be well dispersed in resin, and can be applied to the field of metal materials. The gradient powder material disclosed by the invention has a wide application prospect, and can be applied to the fields of heat dissipation of electronic devices, high-speed cutting tools, grinding material and grinding tool materials, high-temperature protection materials and the like.

The invention belongs to the field of metal materials, and particularly relates to high-elongation and high-forming passenger car steel and a production method thereof.The steel plate is mainly suitable for manufacturing passenger car structural parts, the steel comprises the following chemical components of C, Si, Mn, Al, V, Ta, Bi, Sb, Ni, Pt and Y, P is limited to be smaller than or equal to 0.015%, S is limited to be smaller than or equal to 0.005%, N is limited to be smaller than or equal to 0.006%, and the balance Fe and inevitable impurities. The steel plate is obtained by adopting hot rolling, EPS, continuous annealing and finishing processes, the processes of pickling and cold rolling are reduced, the production process is simplified, the production cost is reduced, and the environment is not polluted.

The invention discloses a neodymium-iron-boron magnet with double main phases and light rare earth diffusion based on asymmetric cerium distribution and a preparation method, and relates to the technical field of neodymium-iron-boron magnets. The method comprises the steps that a diffusion matrix is prepared through a double-main-phase technology, in the double-main-phase technology, the components of a main-phase alloy and an auxiliary-phase alloy are RaCebFe100-a-b-c-dMcBd, R is PrNd alloy or Nd metal, M is at least one of Cu, Al, Zr, Co and Ga, the content of Ce in the main-phase alloy is larger than that of Ce in the auxiliary-phase alloy, then the upper surface and the lower surface of the diffusion matrix are coated with a diffusion source solution, and the diffusion matrix is obtained through heat treatment. Carrying out heat treatment and aging treatment to obtain a neodymium-iron-boron magnet; the diffusion source solution is formed by mixing a diffusion source and a solvent, and the diffusion source is (PrmNdn) aAlbCucZrdCoeMgf. The neodymium-iron-boron magnet obtained through the method has high residual magnetism and high coercive force at the same time, the diffusion efficiency of the diffusion source is high, and the rare earth utilization rate is increased.

The invention discloses a rare-earth metal arylamine group compound as well as preparation method and application thereof. The invention discloses the rare-earth metal arylamine group compound which is characterized in that a general formula of the rare-earth metal arylamine group compound is (2,6-R12PhNH)5LnLi2(THF)2, wherein Ln is a rear-earth metal selected from one of neodymium, samarium, ytterbium or yttrium; R1 is selected from one of hydrogen, methyl or isopropyl. The rare-earth metal arylamine group compound has the advantages that the rare-earth metal arylamine group compound has a definite structure; raw materials used in the preparation method are simple, easily obtained and cheap; the reaction process is simple and easily operated; the rare-earth metal arylamine group compound product is conveniently purified and the yield of the product is high; the rare-earth metal arylamine group compound has a high activity when acting as a single component catalyst to catalyze a hydrogen phosphine reaction of aldehyde or ketone and phosphite ester; the use amount of the catalyst is less; the yield is high; a substrate has wide universality; a new and simple method is provided for synthesis of a-hydroxyphosphonate.

The invention relates to the technical field of metal material heat treatment quality detection, in particular to a metal material rapid annealing effect detection method based on acoustic response, which comprises the following steps: step 1, acoustic excitation and synchronous acquisition; step 2, multi-physics field coupling compensation: calculating the phase compensation amount of the vibration signal based on the temperature distribution data and the acoustic characteristic temperature dependence of the material; the method comprises the following steps: acquiring an environment vibration frequency spectrum through a production line mechanical vibration monitoring device, and separating an excitation response component from an original vibration signal by adopting adaptive filtering; 3, annealing sensitive feature extraction; 4, dynamic quality mapping and control: inputting the real-time feature vector into a pre-trained machine learning model, and outputting a recrystallization proportion and a grain size; and when the output parameter exceeds the process threshold value, the control parameter adjustment of the annealing furnace is triggered. Through a non-destructive and accurate acoustic monitoring technology, the annealing effect of the metal material can be efficiently and accurately monitored in a high-speed, high-noise and strong-interference industrial environment.

Disclosed herein is a catalytic comprising a hexacyano metal compound; wherein the hexacyano metal compound comprises a metal selected from the group consisting of cobalt, iron, copper, manganese, nickel, zinc, and combinations thereof; wherein the hexacyano metal compound comprises coordinatively unsaturated metal (II)—N—C centers for; and wherein the hexacyano metal compound is anchored onto an inorganic substrate. Also disclosed are a system including the catalytic material and a process for treating wastewater using the catalytic material.

The invention discloses a composite optical detection method and system for metal surface corrosion, and the method comprises the steps: employing a line scanning camera and a spectrum confocal sensor to carry out the synchronous data collection through a time-space registration method, obtaining the RGB image data of a to-be-detected metal surface through the line scanning camera, i.e., color data, and obtaining the color data of the to-be-detected metal surface; acquiring point cloud data, namely morphology data, of the metal surface to be detected by using a spectral confocal sensor; carrying out multi-modal data fusion on the RGB data and the point cloud data; a data fusion result is optimized by introducing a confidence coefficient weight; a double-threshold segmentation method of a color threshold and a depth threshold is adopted, and a corrosion area in an optimized data fusion result is preliminarily identified; performing morphological post-processing on the preliminary recognition result through opening operation and closing operation to generate a final recognition result; and carrying out quantitative evaluation on the corrosion area by utilizing a final identification result. The method provided by the invention can realize a rapid and accurate detection process.

The invention discloses a steel defect detection method based on multi-scale edge enhancement, and relates to the field of industrial detection. The method comprises the following steps: constructing a steel defect detection data set and carrying out preprocessing, and dynamically interacting high and low layer features by constructing a Compute-ConvNeXt and an edge enhanced feature fusion structure (EEFF) so as to enhance semantic expressions of edges and small target defects; according to the method, an improved loss function (Focal-MPDIOU) and a data equalization strategy are combined, the sensitivity of the model to fuzzy edges and tiny defects is improved, meanwhile, the overfitting problem caused by sample distribution unbalance is restrained, and automatic defect detection of production line steel is achieved. A defect detection task with high precision, high robustness and high generalization is realized in a complex industrial scene, and an effective solution is provided for intelligent detection of metal material surface defects.