15681 results about "Metallurgy" patented technology

The invention provides a titanium alloy forge piece forming characteristic detection and quality evaluation method based on machine learning. The method is applied to the technical field of artificial intelligence and quality detection and comprises the steps that temperature, pressure, deformation quantity and strain information in the titanium alloy forging process are collected in real time through a multi-mode sensor, and data preprocessing is carried out; a machine learning model is constructed and trained, the structured feature data set is input into the trained machine learning model, and a forming feature detection result of the titanium alloy forge piece is output; and the difference degree between the forming characteristic detection result and standard data in a quality standard database is calculated, the quality grade of the titanium alloy forge piece is determined according to the difference degree, and quantitative evaluation of the quality of the titanium alloy forge piece is achieved. According to the method, the detection precision of the titanium alloy forge piece is effectively improved, the calculation amount is reduced, and the self-adaptive optimization capability of the system is enhanced.

The invention discloses an electronic packaging heat dissipation substrate and a processing technology and application thereof. The electronic packaging heat dissipation substrate comprises a copper-clad diamond copper plate, a diamond sheet located on the copper-clad diamond copper plate and a first copper layer covering the diamond sheet. The copper-clad diamond copper plate comprises a diamond copper core material and a copper layer located on the surface of the diamond copper core material. The diamond copper core material and the copper layer form a composite board with a copper layer-core material-copper layer sandwich structure; and the copper-clad diamond copper plate, the diamond sheet and the first copper layer are connected into a whole through brazing. According to the electronic packaging heat dissipation substrate, the peeling and cracking risks can be reduced, and the problem of low heat transfer efficiency is solved.

The invention belongs to the field of battery piece manufacturing, and particularly relates to a sintering method and a sintering device for a copper paste battery piece, and the method comprises the following steps: 1) covering and wrapping the battery piece brushed with a copper paste grid line with a flexible isolation film; (2) carrying out oxygen isolation on the battery piece subjected to the step (1); (3) heating the battery piece in the step (2) to the sintering or curing temperature of the copper paste to finish the sintering of the copper paste; and (4) under the state of maintaining the step (2), transferring the battery piece covered with the isolating membrane in the step (3) to a cooling area for cooling, so that the temperature of the battery piece in the step (3) is reduced to be below the oxidation temperature of the copper paste. The problem of how to prevent the copper paste grid line from being oxidized in the battery sintering process is solved.

Provided herein are methods of filling features with molybdenum (Mo) that may be used for logic and memory applications. The methods involve treating the surface of feature prior to feature fill. In some embodiments, the methods involve treating the surface of feature by exposure to a molybdenum halide. In some embodiments, the methods involve treating the surface of the feature by selective oxidation, nitridation, or halogenation. Apparatus to perform the methods are provided.

The invention belongs to the technical field of metallurgical equipment intelligent control and digital twinning, and provides a metallurgical equipment twinning HMI control system based on multi-source data, and the system comprises a multi-source data collection module which is used for collecting the multi-source data; the data fusion processing module is used for performing data fusion processing on the multi-source data by adopting a space-time alignment algorithm and a feature extraction network; the digital twinborn modeling module is used for constructing a metallurgical equipment digital twinborn model by utilizing an improved deep belief network algorithm based on the fusion processing data; the HMI interaction module is used for dynamically presenting the fusion processing data and the operation state data of the metallurgical equipment digital twinning model based on the output of the digital twinning modeling module; and the intelligent control module is used for performing closed-loop control on the metallurgical equipment by adopting a self-adaptive predictive control algorithm. According to the invention, full-process intelligent management of the metallurgical equipment can be realized, and the operation efficiency, the control precision and the reliability of the metallurgical equipment are remarkably improved.

The invention belongs to the technical field of ceramic preparation, and particularly relates to silicon nitride ceramic and a preparation method thereof. The silicon nitride ceramic is prepared from the following raw materials in parts by weight: 80-99.5 parts of silicon nitride powder and 0.5-20 parts of a sintering aid, the silicon nitride powder is alpha-Si3N4 powder; the sintering aid comprises at least two of CaF2, Y2O3, MgO, Mg (OH) 2, Al (OH) 3, Al2O3, AlN, MgCO3, Mg (NO3) 2, Y (NO3) 3 and Al (NO3) 3. On the basis of an existing silicon nitride dissolution-precipitation sintering mechanism, by adding sintering aids such as low-cost calcium fluoride, introducing a gas-phase mass transfer mechanism and combining a low-cost direct-current electric field assisted sintering technology, low-cost and rapid preparation of the high-performance silicon nitride ceramic is achieved, the process is simple and efficient, and operation is easy to control.

The invention belongs to the technical field of nondestructive testing, and discloses a vector coherence factor-based thick-wall austenitic stainless steel welding seam full-focus imaging method, which comprises the following steps of: acquiring full-matrix data through a TRL area array probe, constructing an imaging area, calculating a spatial relationship, optimizing a propagation path in combination with a Fermat principle, and obtaining a full-focus imaging result; the method comprises the following steps of: firstly, extracting an instantaneous phase of an ultrasonic signal to construct a vector coherence factor, reconstructing an imaging data matrix according to the coherence factor, and obtaining a phase coherence weighted full-focusing imaging result, so as to ensure that each pixel point can obtain an optimal propagation path, thereby generating a full-focusing image data matrix by adopting a point-by-point delay superposition technology; the method can effectively improve the signal-to-noise ratio and positioning and quantification precision of the thick-wall austenitic stainless steel weld joint detection image, and has good engineering application value.

Provided is a polishing composition capable of realizing high polishing removal rate on an object to be polished. The polishing composition provided by this invention is used for polishing an object to be polished. The polishing composition includes water, sodium permanganate as an oxidant, and a transition metal salt different from the oxidant. The polishing composition includes the oxidant in an amount of more than 10 wt %. In some preferable embodiments, the transition metal salt is an oxo-transition metal salt, or a multi-nuclear transition metal complex including a transition metal and one or both of oxygen and hydrogen. The polishing composition can be preferably used in polishing an object formed of a high-harness material having a Vickers hardness of 1500 Hv or higher.

A solid electrolyte material and a preparation method therefor, a solid electrolyte, a semi-solid electrolyte, a positive electrode, and a battery. The solid electrolyte material comprises a compound represented by the following general formula: Aa(M1bM2c)Xd, wherein A comprises one or more of Li, Na, K, Cu and Ag, X is halogen, M1 is a main element, M1 is selected from among one of Ga, Y, In, Mg, Sr, Sc, Al, Fe, Zr, Hf, Ta, Nb, W, Mn, Zn, Co, Mo, Sn, Ca, Pb, Ti, Ru and a lanthanide metal element, M2 is a doping element, M2 comprises one or more elements of groups IIA, IIB, IIIA, IIIB, IVA, IVB, VA and VB, b is greater than the molar ratio of any element in M2, 0.5≤a≤5, 0.2≤b≤2, 0.2≤c≤2, d=a*ε1+b*ε2+c*ε3, ε1 is the weighted average valence of A, ε2 is the weighted average valence of M1, and ε3 is the weighted average valence of M2.

The invention provides a design method and device of a metallurgical pipeline and a program product, path planning design of the metallurgical pipeline is carried out in a pre-constructed three-dimensional metallurgical factory scene, the three-dimensional metallurgical factory scene is constructed through an imported building structure model, and the three-dimensional metallurgical factory scene comprises arrangement information of equipment and structural members of a building. The design method comprises the following steps: S1, acquiring a starting point position, an end point position, a prohibited area, process parameters and constraint conditions of a metallurgical pipeline input by a user; and S2, according to the starting point position, the terminal point position, the forbidden area, the process parameters and the constraint conditions, performing path search in the three-dimensional metallurgical factory scene through a predetermined path planning algorithm and a pre-trained pipeline layout prediction model to obtain a metallurgical pipeline planning path. By means of the technical scheme, the design efficiency can be improved, the construction cost is reduced, and the building safety is ensured.

The invention relates to the technical field of numerical control machining process optimization, in particular to an aluminum alloy milling parameter optimization method based on an improved Bayesian neural network, and the method comprises the following steps: S1, building an aluminum alloy thin-wall part milling finite element model based on a Johnson-Cook constitutive model; s2, carrying out a single-factor milling experiment, and verifying the reliability of the finite element model; s3, constructing a Bayesian neural network model fused with a multi-head attention mechanism, and establishing a mapping relation between process parameters and surface quality indexes; s4, establishing a multi-objective optimization model based on the MHA-BNN prediction model, and solving by adopting an NSGA-II algorithm; and S5, performing experimental verification and analysis on an optimization result. According to the method, a multi-head attention mechanism is introduced into a Bayesian neural network, and a milled surface roughness and residual stress probability prediction model is constructed; and a multi-objective optimization framework fusing physical constraint and data driving is established, collaborative optimization of the surface roughness, the residual stress and the processing efficiency is realized, and meanwhile, the problem that a traditional deep learning method is insufficient in prediction precision under a small sample condition is solved.

The invention discloses a titanium alloy feeding implant and a preparation method thereof, and the preparation method comprises the following steps: carrying out activating treatment on a biodegradable bonding system in an inert gas environment to form an expansion-state binder precursor, and then mixing titanium alloy powder and the precursor which are proportioned in stages in a multi-stage mixing device in stages to obtain the titanium alloy feeding implant. Sequentially executing low-temperature activation, melting and dispersing operations to prepare uniform feed; carrying out vibration-assisted injection molding on the feed to generate a green body with a multi-stage pore structure; removing the binder step by step and reserving pores by adopting a synergistic degreasing process of supercritical fluid extraction, microwave decomposition and gas phase cleaning; densification sintering molding of the titanium alloy implant is realized through pre-sintering and plasma activating treatment, so that an implant finished product is formed; according to the process, through the coupling design of innovation of a biodegradable binder system and an intelligent degreasing process, on the premise that the biological safety of the titanium alloy implant is ensured, precise forming and sintering densification control of a complex pore structure are synchronously achieved.

A method for efficiently and safely cleaning an apparatus for tin compound and a highly purified tin compound apparatus are provided. A cleaning method for an apparatus that has been in contact with a tin compound having formula (1) below includes at least steps (A) to (C), in which step (B) is performed after step (A), and step (C) is performed after step (B):(A) a step of cleaning the apparatus with a non-protic solvent,(B) a step of cleaning the apparatus with alcohol, and(C) a step of cleaning the apparatus with ultrapure water having a resistivity value of 17 MΩ·cm at 25° C.RpSnXm  (1)In formula (1), R is a hydrocarbon group, p is an integer from 1 to 3, X is a hydrolyzable substituent, and m=4−p.

The invention provides a metallurgical process optimization method and system for a low-oxygen low-nitrogen aluminum-vanadium alloy, and relates to the technical field of process optimizing.The method comprises the steps that correlation characteristics among process parameters are extracted through a three-layer gating map attention network, and a parameter coupling state vector is constructed in combination with a time sequence attention module; constructing a process prediction model based on the state vector, and fusing a thermodynamic equilibrium equation and a long-short term memory network to predict the oxygen and nitrogen content; a deep reinforcement learning network of a Soft Actor-Critic algorithm is adopted, the parameter coupling state vector and the oxygen and nitrogen content prediction value serve as state input, and the technological parameter adjustment amount is output; and planning and iteratively training a future adjustment strategy through Monte Carlo tree search to finally obtain an optimal process parameter combination meeting oxygen and nitrogen content constraints, thereby realizing intelligent optimization control of the metallurgical process.

The invention relates to the technical field of biomedical ceramic materials, in particular to a zirconia-based biomedical ceramic material and a preparation method thereof.The preparation method comprises the following steps: preparing a zirconia-based biomedical ceramic material on the basis of preset opening degrees of air channels of a first heating part and a second heating part in a heating assembly and a preset working state of a first stirring structure; synchronously and continuously adding a plurality of to-be-reacted substances into the first space of the container for primary reaction; after the interval is fixed, opening a circulation channel based on a preset liquid channel opening degree of the circulation channel of the first space and the second space of the container, so that the material in the first space flows into the second space, and performing a second-section reaction at a preset second temperature and a preset rotating speed of a second stirring structure to generate a precipitate; according to the invention, the materials to be reacted can be heated at a stepped temperature, and the reaction process is fully adjusted according to the ion concentration and uniformity in the detected solution, so that the high-precision preparation of the zirconium oxide-based biomedical ceramic material is stably and efficiently carried out.

The invention provides equipment for extracting lithium from electrolytic aluminum slag and a process for extracting lithium and co-producing cryolite, and relates to the technical field of solid waste treatment, the equipment comprises a bottom plate, a heating tank, an extracting tank, a filtering tank, a top cover, a driving mechanism, a switching mechanism and a mixing mechanism; the heating tank is installed on the upper surface of the bottom plate, the extraction tank is installed inside the heating tank, the filtering tank is installed inside the extraction tank, the top cover is installed on the upper surface of the filtering tank in a sealed mode, and a liquid inlet pipe and a feeding pipe are installed inside the top cover. According to the scheme, the conical mixing barrel and the linkage overturning type material mixing plate are adopted, the material mixing plate can overturn caustic soda flakes into the electrolytic aluminum slag, then the caustic soda flakes and the electrolytic aluminum slag are mixed through the material mixing rod, it can be guaranteed that the caustic soda flakes can be evenly mixed with the electrolytic aluminum slag through the design, and it is guaranteed that the caustic soda flakes can be well attached to the surface of the electrolytic aluminum slag; and rapid overheating can be avoided when the subsequent caustic soda flakes are contacted with water, so that the filter tank works more stably and safely.

The invention belongs to the technical field of electroplating process optimization, and particularly discloses a titanium alloy surface electroplating control method which comprises the following steps: dynamically generating a hanger posture configuration scheme based on workpiece three-dimensional contour data acquired in real time; a bubble distribution image and electroplating liquid flow field data are synchronously collected, and a bubble-flow field coupling feature set is generated through multi-modal fusion; performing real-time linkage adjustment on the rotation speed and the swing amplitude of the workpiece according to the coupling feature set; after electroplating is completed, plating thickness, edge integrity and surface defect data are collected, and a multi-source plating data set is formed by combining workpiece position information; historical data and real-time data are integrated to carry out hanger layout adjustment judgment, and hanger spacing dynamic reconstruction optimization is started when adjustment is needed. According to the method, multi-parameter cooperative control and closed-loop quality optimization in the electroplating process are achieved, the uniformity and integrity of a titanium alloy workpiece coating are remarkably improved, and generation of bubble related defects is effectively restrained.

The invention provides antioxidant copper powder for low-temperature slurry, low-temperature sintered copper slurry and a preparation method of the low-temperature sintered copper slurry, and belongs to the technical field of slurry for heterojunction batteries. The antioxidant copper powder comprises copper powder and a coating agent coating the surface of the copper powder; wherein the coating agent comprises acrylic acid, oleic acid and paraformaldehyde. The anti-oxidation copper powder is formed by coating the surface of the copper powder with the coating agent formed by the acrylic acid, the oleic acid and the paraformaldehyde, and the low-temperature sintering copper paste formed by matching the anti-oxidation copper powder with other components can realize low-temperature sintering in air, does not need a protective atmosphere and has good conductivity.

The invention provides a high-precision laser additive manufacturing method and device based on metal powder melting, and relates to the technical field of metal additive manufacturing, and the high-precision laser additive manufacturing device comprises a multi-element powder supply and electrification unit which is used for carrying out independent metering supply and airflow dispersion mixing on various metal powder in an inert atmosphere environment and enabling powder particles to obtain controllable charges; the electromagnetic field cooperative control unit is used for actively regulating and controlling the falling speed and the transverse track of the powder particles through the cooperative effect of a longitudinal magnetic field and a transverse electric field when the powder particles are in a charged state; the invention provides a metal powder forming technology path based on particle size active conveying and spatial positioning, and active conveying and accurate positioning of the metal powder particles in the flying process are realized by performing electrified regulation and control on single or small-scale metal powder particles and utilizing the action of an electromagnetic field. Therefore, layer-by-layer stacking forming is completed under the condition of not depending on the whole powder laying layer.

The present invention provides a method and apparatus for laser stripping a silicon carbide ingot. The method first transmits an ultrashort pulse laser beam through the first end face of the silicon carbide ingot and focuses it on a set depth layer of the ingot. A cavity-modified region and a crack-modified region are generated above the set depth layer, respectively, and scanned to form the cavity-modified layer and the crack-modified layer. A short pulse laser beam then transmits the second end face of the silicon carbide ingot and focuses it on the cavity-modified region. The beam scatters and propagates within the cavity-modified region, causing the heat from the short pulse laser beam to act on the cavity-modified region, causing cracks within the crack-modified region to grow laterally outward. Scanning is then performed to connect cracks within adjacent cavity-modified regions within the cavity-modified layer through lateral growth. This reduces the amount and length of cracks in the modified layer extending longitudinally along the silicon carbide ingot, increases the number and length of lateral crack growth, reduces cutting loss, and reduces waste.

The invention discloses a method for preparing a platinum-based alloy catalyst by using a plasma enhanced chemical vapor deposition low-temperature technology, relates to a preparation method of a platinum-based alloy catalyst, and aims to solve the technical problems that a carbon layer is not uniformly coated and metal particles of the catalyst are easy to agglomerate in a high-temperature calcination process in the existing platinum-based alloy catalyst prepared by carbon coating. The method comprises the following steps: 1, preparing Pt / C by a polyhydric alcohol reduction method; 2, pre-treating a Pt / C catalyst; 3, preparing M-Pt / C by a dipping evaporation method; 4, PECVD carbon shell coating is carried out; (5) alloying; and 6, removing a part of carbon shell to obtain the platinum-based alloy catalyst. When the Pt / C catalyst is used for preparing a membrane electrode of a proton exchange membrane fuel cell, the peak power density can reach 1.72-1.89 W / cm < 2 > under a hydrogen-air condition, which is improved by 20.3% and 32.2% compared with a membrane electrode of a commercial 20% Pt / C catalyst, and the Pt / C catalyst can be used in the field of proton exchange membrane fuel cells.

The purpose of the present invention is to provide: a steel material which is suitable as a steel structure used in a hydrogen gas environment, has excellent hydrogen absorption resistance in a hydrogen gas environment, and has excellent hydrogen embrittlement resistance; and a method for producing same.　The steel material has a specific component composition, wherein the amount of saturated hydrogen that has entered in a hydrogen gas environment at a hydrogen gas pressure of 40 MPa is less than a predetermined value. The predetermined value is 0.8 ppm by mass when the tensile strength TS of the steel material is less than 500 MPa, and is a hydrogen amount CH (ppm by mass) calculated from formula (1) when the tensile strength TS of the steel material is 500 MPa or more. (1): CH (ppm by mass) = 5.4637e-0.004 × TS (MPa) In formula (1), TS (MPa) is the tensile strength of the steel material.

The invention discloses a method for preparing a high-density and low-carbon-oxygen titanium alloy. The method comprises the following steps: weighing a certain mass of spherical TC4 powder and a binder; the spherical TC4 powder and a binder are put into an internal mixer to be mixed; putting the mixed feed into a granulator, and extruding and granulating to obtain granular injection feed; putting the granular injection feed into an injection stock bin, and injecting into a mold to obtain a TC4 green body; the TC4 green body is subjected to degreasing treatment; and the TC4 degreased blank is sintered, the first stage is a thermal degreasing stage, the TC4 degreased blank is cooled to the room temperature along with a furnace, then the second stage is sintered, the TC4 degreased blank is cooled to the room temperature along with the furnace, and a TC4 sintered part is obtained. According to the method for preparing the high-density and low-carbon-oxygen titanium alloy, an optimized two-section type sintering process is adopted for the blank, a binder can be fully volatilized and discharged at the low temperature, the content of C and O in a titanium alloy sintered part is reduced, and the method has the advantages that atomic diffusion and rearrangement of the titanium alloy blank are more orderly, the density is effectively improved, and the service life of the titanium alloy blank is prolonged. And the cracking and deformation risks are reduced.

The invention discloses a flue gas purification device for a sintering machine, and relates to the technical field of sintering machines, the flue gas purification device comprises a purification cylinder, the outer side of the purification cylinder is fixedly connected with a gas inlet pipe, one end of the gas inlet pipe penetrates through the inner side of the purification cylinder, and a treatment unit for purifying flue gas of the sintering machine is arranged on the upper side of the gas inlet pipe; an exhaust pipe is fixedly connected to the outer side of the purification barrel and located above the air inlet pipe, a first water pump is fixedly connected to the right side of the purification barrel, a fixing disc is arranged on the inner side of the purification barrel, and a plurality of branch plates are fixedly connected between the fixing disc and the purification barrel. According to the flue gas purification device for the sintering machine, the purification cylinder, the gas inlet pipe, the fixed pipe, the spray head and the first water pump are arranged, the spray head can spray out an alkaline solution conveniently to treat flue gas of the sintering machine, introduced gas can be dispersed conveniently through a rotating rod, a stirring plate, the fixed cylinder, a branch cylinder, a dispersion plate, a first dispersion piece and a second dispersion piece, high-concentration flue gas is evenly distributed, and the service life of the flue gas is prolonged. The flue gas purification effect is improved.

The invention discloses a method for predicting the phase content and the hardness of a titanium alloy welding joint, which comprises the following steps of: 1, constructing a welding temperature field model, and correcting a Gaussian cylinder heat source model in welding simulation by comparing the morphology of a welding joint molten pool; 2, a solid-state phase change model is introduced, and a weld metal phase change model is constructed; and step 3, inputting the solid-state phase change model obtained in the step 2.4 into the three-dimensional solid model to obtain the phase content of the welding joint as a field variable in an output hardness field, and predicting the hardness of the joint through the phase content of the welding joint. According to the method, by introducing a solid-state phase change model and optimizing heat source parameters, high-precision prediction of the phase content and hardness of the welding joint is achieved, and rapid optimization of process parameters is guided.

The invention relates to the technical field of image processing, in particular to a silicon carbide grain size detection method based on image processing, and the method comprises the steps: collecting a silicon carbide gray scale image, carrying out the edge detection of the silicon carbide gray scale image, obtaining a grain area, obtaining the edge confusion degree of each grain area, and obtaining the edge confusion degree of each grain area; obtaining the internal consistency of each crystal grain area according to the gray level distribution complexity and the texture distribution disorder degree of each crystal grain area, obtaining the adjustment factor of each crystal grain area according to the internal consistency and the edge disorder degree of each crystal grain area, and adjusting the equivalent circle diameter of each crystal grain area according to the adjustment factor. The final equivalent circle diameter of each grain area is obtained, the grain size of each grain area is obtained according to the final equivalent circle diameter of each grain area, and the accuracy of obtaining the grain size of silicon carbide is improved.

The invention provides a method for preparing an iron-based superconducting material single crystal in a microgravity environment, and belongs to the field of superconducting materials. The method specifically comprises the following steps: carrying out a microgravity crystal growth experiment in a high-temperature experiment cabinet of a space station, putting a solid-phase sintered or pre-melted rod-like raw material into a furnace body, heating and melting, then slowly solidifying, and finally growing the iron-based superconducting material single crystal with large size and extremely low defect density.

The invention discloses a water-based soldering flux for a photovoltaic N-type battery 0BB assembly and a preparation method of the water-based soldering flux, and belongs to the technical field of soldering flux. The soldering flux is prepared from the following raw materials in parts by weight: 30-60 parts of deionized water, 30-50 parts of an alcohol solvent, 2-8 parts of a high-boiling-point solvent, 1-4 parts of organic acid, 0.1-1 part of a surfactant, 0.1-1 part of an antioxidant, 0.1-1 part of a corrosion inhibitor, 0-1 part of psicose and 0-1 part of trimethylolpropane tricaprylate. According to the invention, the problem of negative influence on tension of thermosetting adhesive and alloying of a fine grid when a traditional soldering flux is applied to a photovoltaic N-type battery 0BB assembly is solved.

A method for detecting circularity of silicon carbide micro powder relates to the technical field of silicon carbide detection, and comprises the following steps: S1, turning on a flowing particle imager, preheating and then carrying out background detection; s2, adding standard particles into the sample pool, and enabling the flowing particle imager to perform automatic focusing; s3, adding the prepared silicon carbide micro powder sample into a sample pool, and detecting by using a flowing particle imager; and S4, storing the detection result, checking the silicon carbide micro powder particle image, and recording the detection result. The preparation of the silicon carbide micro-powder sample comprises the following steps: S31, adding the dried silicon carbide sample into a dry and clean beaker; s32, sequentially adding an impregnating compound, a dispersing agent and deionized water into the beaker; s33, carrying out ultrasonic dispersion; and S34, taking out the uniformly mixed sample. The method can solve the technical problem of detection failure caused by easy agglomeration of the silicon carbide sample when the flowing particle imager is used for detecting the circularity of the silicon carbide micro powder.

The invention belongs to the field of ferrous metal materials, and particularly relates to a high-strength heat-resistant ferritic stainless steel plate for a third-generation nuclear power plant and a manufacturing method of the high-strength heat-resistant ferritic stainless steel plate for the third-generation nuclear power plant, and the high-strength heat-resistant ferritic stainless steel plate comprises the following chemical components in percentage by weight: 0.01%-0.12% of C, 0.8%-1.5% of Si, 0.02%-0.70% of Mn, 0.020%-0.050% of S, 0.01%-1.2% of Ni, 12.5%-14.5% of Cr, 0.2%-0.9% of Mo, 0.001%-0.010% of Zr, 0.010%-0.020% of Mg, 5-15 ppm of Ce, 0.00032%-0.003% of Ca and the balance of Fe. And the balance of Fe and inevitable impurities. The product produced according to the chemical components and production process requirements of the steel disclosed by the invention has high strength and toughness, low hardness and high temperature resistance.