1258 results about "Alloy composition" patented technology

The invention discloses a high-performance copper alloy pipe and a preparation method thereof. The Sn, Ni and P elements are compositely added into Cu, the content and proportion of all the elements are regulated and controlled, meanwhile, a recrystallization treatment process is combined, a high-proportion sigma 3, sigma 9 and sigma 27 coincidence lattice grain boundary is introduced, and the copper alloy pipe with high strength, high machining forming capacity and excellent pressure resistance, corrosion resistance and high-temperature softening resistance is prepared. Meanwhile, Zr, Co and B (optionally) elements are added on the basis of the alloy components, so that the performance of the copper alloy pipe is further improved. The tensile strength, the processing formability, the pressure resistance, the corrosion resistance and the high-temperature softening resistance of the copper alloy pipe are far better than those of a TP2 copper pipe of the same specification and an existing high-strength copper pipe, the performance requirements of the high-pressure-resistance thin-wall seamless copper pipe are met, and the copper alloy pipe has wide application prospects in the heat exchange field.

The invention belongs to the technical field of steel and iron material design, and discloses a stainless steel strength and toughness collaborative optimization method and system based on heterogeneous integration, and the method comprises the steps: constructing a database of stainless steel components, process parameters and mechanical properties; according to the database, establishing a stacked heterogeneous integration model; quantizing contribution weights of input variables of the stacked heterogeneous integrated model to mechanical properties based on an SHAP method, identifying key factors, and setting a multi-target strength and toughness collaborative optimization index to guide an optimization direction; optimal components and processes are screened according to SHAP analysis, a sample is prepared through vacuum melting, hot rolling and heat treatment, the performance is verified according to the ASTM standard, and a final optimization scheme is determined; and a cross-scale digital twinborn verification system is constructed, and collaborative optimization of alloy components, process and macroscopic performance is realized. According to the method, the problems of low efficiency and insufficient generalization ability of a single model of a traditional trial and error method are solved, and an efficient and explainable intelligent optimization scheme is provided for development of high-performance stainless steel.

The invention relates to the technical field of alloy pouring processes, in particular to a magnesium alloy heterogeneous flow overall coordination pouring process which comprises the steps of conducting pouring numerical simulation through simulation software, optimizing pouring design and determining a composite flow guide structure, a mold temperature control scheme and an alloy component regulation and control strategy. Magnesium alloy smelting and refining are conducted; preheating the mold by using an intelligent temperature control system; during the period, the intelligent temperature control system monitors and adjusts the temperature of the mold, and the online alloy adding system and the impurity adsorption filtering device keep the components of the melt uniform and pure; and after pouring is completed, controlling the mold temperature according to a preset cooling curve to slowly and uniformly solidify the melt. The design of the bionic branch-shaped flow dividing structure, the dynamic adjustable flow guide plate and the like reduces casting defects, and the casting forming quality is improved. And on-line alloy adding and impurity adsorption filtering ensure that melt components are stable, and the casting performance is improved.

The invention discloses preheating-free welding maritime work steel with excellent low-temperature toughness and a preparation method of the preheating-free welding maritime work steel, and belongs to the field of steel and iron material preparation. The produced steel plate has good comprehensive mechanical properties through alloy component-secondary rolling-controlled cooling process coupling design, the problem that the strength, plasticity, low-temperature toughness and preheating-free post-welding performance of the steel plate are difficult to match and harmonize is solved, the steel plate has ultrahigh-strength plasticity, excellent low-temperature toughness and excellent Z-direction performance, and room-temperature preheating-free welding can be achieved.

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.

A high-performance near-pure zinc alloy, a preparation method therefor and a use thereof, relating to the technical field of zinc alloys. The alloy component is that the content of Zn is greater than or equal to 99.5%, and the remaining trace alloy elements include at least two of the following 14 elements: Mg, Mn, Li, Cu, Ag, Ca, Sr, Fe, Zr, Ti, Al, C, Ga, and Si. The alloy has the yield strength ≥ 250 MPa, the tensile strength ≥ 320 MPa, the elongation ≥ 25%, the mechanical property change during one year of room-temperature storage ≤ 5%, the maximum bending force ≥ 2 kN, the stress corrosion sensitivity factor ≤ 15%, the size of corrosion pits after 60 days of immersion ≤ 15 μm, and the standard deviation of the size of corrosion pits ≤ 3 μm. The alloy is suitable for the preparation of biodegradable stents, bone implant devices, medical staplers or anastomotic nails for intestines, blood vessels or nerves, vascular clamps, guided bone or tissue regeneration membranes, heart valve protheses, dura mater repair membranes, soluble bridge plugs and fracturing balls for oil drilling, zinc alloy die castings, electroplated zinc materials, building zinc materials, battery-grade zinc, printing-grade zinc, and zinc-based brazing alloys.

The invention relates to a data-driven deformation nickel-based superalloy multi-objective performance reverse design optimization method, which belongs to the technical field of metal material design and development, and comprises the following steps: calculating a stable high-strength deformation nickel-based superalloy system based on a first principle, and on this basis, calculating a deformation nickel-based superalloy system; constructing a deformed nickel-based superalloy component design space based on the knowledge of the nickel-based superalloy field; based on a deformed nickel-based superalloy component design space, the deformed nickel-based superalloy component design space is reduced by adopting an empirical formula in combination with thermodynamic high-throughput calculation to obtain the reduced deformed nickel-based superalloy component design space, and based on the reduced deformed nickel-based superalloy component design space, based on machine learning and a genetic algorithm, the deformation nickel-based superalloy component design space is obtained. And a deformed nickel-based high-temperature alloy reverse design model is established, and the deformed nickel-based high-temperature alloy with the target performance is screened. Compared with the prior art, the oriented development method for the high-strength and high-toughness nickel-based high-temperature alloy is achieved by fusing cross-scale calculation, domain knowledge constraint and machine learning reverse design.

The invention belongs to the technical field of aluminum alloy production, and particularly discloses a low-carbon environment-friendly method for producing a high-strength 8006 alloy container foil, aluminum alloy component proportion and melt treatment and cold rolling production processes are optimized, a large amount of regenerated aluminum waste can be digested, energy consumption is lower than that of a primary aluminum ingot by 50% or above, a blank with the thickness of 1.5 mm is produced through triple continuous rolling, and the production cost is low. The container foil finished product is rolled through 4-5 passes of cold foil rolling, compared with a conventional scheme, the rolling passes are reduced by 2-3, the machining cost is saved by 500 yuan / ton, the blank thickness can be reduced through the production scheme, the cold foil rolling production passes are reduced, high-temperature intermediate annealing is not needed in the cold rolling production process, about 280 kw.h annealing power consumption is saved for each ton, low-carbon short-process production is achieved, and the production cost is reduced. The tensile strength of the finished product is larger than or equal to 150 MPa, the ductility is larger than or equal to 18%, the tensile strength is about 20 MPa higher than that of container foil produced through a conventional scheme, deformation is not likely to happen after punching forming, and the terminal use effect is better.

The invention relates to the technical field of intelligent manufacturing, in particular to a nodular cast iron alloy component self-adaptive optimization method and system based on artificial intelligence, and the method comprises the following steps: obtaining furnace temperature and component parameters, generating a stable comparison legend, screening offset abnormal combinations to form an available set, extracting performance curve characteristics to construct a trend chart, and obtaining a nodular cast iron alloy component self-adaptive optimization result. And superposing the structural parameters and the element distribution positioning segregation area, and outputting feeding correction parameters to generate an optimization scheme. According to the method, normalization processing is carried out on furnace temperature, carbon-silicon ratio and other multi-factor offset values, a component offset map is constructed, trend feature extraction and sorting of response curves under multiple working conditions are combined, component combinations with stable performance are screened out, a mapping relation is established through the structural curvature, the wall thickness slope and the injection rate, and a spatial coincidence map is generated through coincidence analysis. And the feeding direction and the injection rate are inversely calculated, dynamic adaptation of components and the structure is achieved, and the structure uniformity and the performance consistency are improved.

Embodiments relate to system and methods involving use of a technique for managing a database for producing a material composition having a thermodynamic phase. The technique can include: receiving a binary phase diagram for each material to be used as a component of a high-entropy alloy (HEA); using one or more active learning machine learning techniques for generating a feature, the feature including: a primary feature that is representative of a probability that an HEA will exhibit a solid solution phase and / or an intermetallic phase, and a physics-based feature that is representative of a factor related to formation of a desired intermetallic HEA phase; encoding the primary feature and the physics-based feature; generating an output representation of a HEA alloy composition and phase of a predicted materials composition; and selecting a HEA composition and phase that will meet a material design criterion.

The invention provides a flame-retardant magnesium alloy with efficient forming diversification and a preparation method of the flame-retardant magnesium alloy. The flame-retardant magnesium alloy comprises the following components in percentage by mass: 4.0-10.0% of Al, 0.2-1.6% of Ca, 0.01-0.5% of Mn, 0.1-1.5% of RE, less than or equal to 0.05% of inevitable impurities and the balance of Mg, and the added RE is one or any combination of Ce, Sm, La and Sr. The preparation method comprises the following steps: smelting and casting, granulating and pulping, and performing pressure injection molding. According to the preparation method, diversified efficient forming of complex curved surfaces, thin-wall parts, special-shaped components and the like can be achieved through cooperative regulation and control of components, the process and the structure, and the obtained flame-retardant magnesium alloy is compact in structure, has the multi-level structural characteristics including a spherical primary solid phase, a fine solidification secondary phase and a grain boundary net-shaped eutectic phase and meanwhile has good flame retardance and mechanical performance; the ignition point is 750-1200 DEG C, the yield strength is 130-200 MPa, the tensile strength is 230-300 MPa, the ductility is 5-20%, and the aluminum alloy is suitable for industrial production.

The invention relates to the technical field of welding materials, and discloses washable semiconductor solder paste and a preparation method and application thereof. The washable semiconductor solder paste comprises scaling powder and tin powder, wherein the mass ratio of the scaling powder to the tin powder is 1: (8-9.6); the soldering flux comprises the following raw material components: a film-forming agent, composite organic acid, a thixotropic agent, a surfactant, an antioxidant and a solvent, wherein the composite organic acid is composed of succinic acid and glutaric acid according to the mass ratio of (1-3): (1-2.5). According to the washable semiconductor solder paste, the particle size, the melting point and the alloy components of the tin powder are controlled, composite organic acid composed of succinic acid and glutaric acid in a specific proportion is adopted in the soldering flux, and other components are matched with one another; the tin powder and the soldering flux in a specific mass ratio are combined, so that the prepared washable semiconductor solder paste is good in wettability, the expansion rate is larger than or equal to 85%, the storage life reaches 3 months, and the washable semiconductor solder paste can be directly cleaned with water after being welded and is high in corrosion resistance and oxidation resistance.

The invention discloses a manufacturing method of 925 silver jewelry, which comprises the following steps: S1, preparing alloy components, S2, designing a cast tree structure, S3, casting, and S4, densifying a casting, the alloy components comprise 92.5-93.0% of silver, 1.0-3.0% of platinum, 0.05-0.5% of copper, 1.5-3.5% of zinc, 1.5-3.5% of indium, 0.03-0.3% of tin, 0.05-0.5% of germanium, 0.03-0.3% of rare earth, and 0.003-0.02% of boron. According to the manufacturing method, alloy components are optimized, the casting performance of the alloy components is improved, the casting process is optimized, the feeding capacity of molten metal is improved, shrinkage porosity and air holes are reduced, the initial density of the casting is improved, and subsequent composite treatment is carried out, so that the density from the surface to the shallow surface of the casting is further improved, grains are refined, and the surface roughness is further reduced; and the requirement of high brightness of the jewelry surface is met.

The present application relates to a kind of large thickness submarine pipeline steel plate and its production method, by the optimization design steel plate component of low-carbon low-alloy component, production method is with the special controlled rolling process of five-stage heating+recrystallization zone low temperature large reduction rolling+intermediate billet instant cooling+non-recrystallization zone high temperature large reduction rolling, and the multi-stage controlled cooling process of high temperature zone air cooling redistribution+ferrite zone cooling+waiting temperature+bainite zone cooling+air cooling self tempering cooling.The product steel plate of the present application has higher acicular ferrite proportion, and the average grain size of ferrite is finer, 3~6 μm, so that the steel plate has good strength and toughness match, the steel plate has higher strength, yield strength ≥500MPa, tensile strength ≥630MPa, and impact energy KV2 At-60 ℃, ≥250J.

The invention provides an aluminum alloy atmospheric corrosion prediction method and system based on machine learning, and relates to the technical field of aluminum alloy corrosion prediction. Comprising the following steps: collecting aluminum alloy atmospheric corrosion data including environmental meteorological data, aluminum alloy component characteristics and aluminum alloy corrosion rate to obtain an aluminum alloy atmospheric corrosion initial data set; performing screening and dimension reduction on the data in the initial data set to obtain an aluminum alloy atmospheric corrosion prediction data set; based on the aluminum alloy atmospheric corrosion prediction data set, the built CNN-SVM model is trained; and acquiring environment data of the to-be-tested aluminum alloy, and predicting the atmospheric corrosion rate of the to-be-tested aluminum alloy based on the trained CNN-SVM model. According to the method, accurate feature screening and short-time-consumption model training are carried out by utilizing limited experimental data, the atmospheric corrosion of the aluminum alloy is predicted at high precision, the cost input of a traditional experiment is reduced, the time cost is saved, and the prediction precision and efficiency are improved.

The invention discloses an alloy specific strength optimization method combining uncertainty and heuristic algorithms. The alloy specific strength optimization method comprises the steps that a high-entropy alloy component and a strength data set of the high-entropy alloy component at a high temperature are constructed; calculating physicochemical properties based on components, and selecting and screening key feature subsets by adopting correlation analysis and forward sequence selection; comparing the prediction performance and uncertainty of each machine learning model, and determining an optimal model; selecting a target system, performing performance prediction on a candidate system by using an optimal model, estimating uncertainty in combination with a folding knife method, and constructing an upper confidence boundary as an evaluation index; the upper confidence boundary serves as a fitness function of a heuristic algorithm, and optimized alloy components and fitness values are output; the performance of the optimized components is verified through experiments, if the requirements are not met, the result is fed back, and optimization continues until the components with the performance meeting the requirements are obtained. According to the alloy specific strength optimization method combining uncertainty and heuristic algorithms, the problems of high cost and long period caused by dependence on a trial and error method in the prior art are solved.

Provided are a solder alloy, a solder ball, a preformed solder, a solder joint, and a circuit, which are excellent in wettability and shear strength, suitable in failure mode, capable of suppressing the growth of an intermetallic compound at a bonding interface even after multiple reflow soldering, excellent in drop impact resistance, and suitable in the shape of a bump. The solder alloy has an alloy composition comprising, in mass%, 0.10 to 3.00% of Ag, 0.80 to 6.00% of Cu, 0.08 to 0.60% of Ni, 0.0010 to 0.0150% of Ge, and the balance of Sn. It is preferable that the alloy composition further contains 0.1% or less of at least one of Bi, Sb, In, Zn, Ga, Mn, Cr, Co, Si, Ti, and rare earths in total.

The invention relates to the technical field of aluminum alloy forming processes, and discloses an intelligent optimization method of an aluminum alloy round aluminum rod forming process. The method comprises the following steps: acquiring process parameter monitoring data of smelting, casting and rolling stages, wherein the process parameter monitoring data comprises temperature gradient, pressure fluctuation value and alloy component real-time variation; based on the time sequence relevance of the technological parameter monitoring data of the smelting stage and the casting stage, the technological parameter transmission delay amount between the two stages is calculated, and the parameter fluctuation compensation factor of the casting stage is determined accordingly. And determining the energy interference intensity of each process stage in the corresponding frequency domain according to the temperature gradient difference value, the pressure fluctuation change rate and the alloy component offset of the adjacent process stages in the short-time window. And generating a process nonlinear distortion probability based on the energy interference intensity distribution of all adjacent process stages. And the pressure control reference value in the rolling stage is dynamically adjusted according to the process nonlinear distortion probability. By means of the method, intelligent optimization of the aluminum alloy round aluminum rod forming process is achieved.

The invention belongs to the technical field of aluminum alloys, and particularly relates to a high-toughness anti-fatigue aluminum alloy and a preparation method thereof. The alloy comprises the following components in percentage by mass: 0.6-1.4% of Mg, 0.6-1.4% of Si, 0.5-1% of Mn, 0.3-0.8% of Cu, 0.1-0.4% of Cr, 0.1-0.3% of Mo, less than or equal to 0.15% of Fe, less than or equal to 0.05% of Ti, less than or equal to 0.05% of other impurities and the balance of Al. In the alloy, the ratio of Mn to (Cr + Mo) is 2-5, and Cr + Mo is less than or equal to 0.4. The aluminum alloy is subjected to synergistic microalloying of elements Mn, Cr and Mo and three-stage homogenization treatment, then a high-density'core-shell 'structure dispersed phase is separated out, and the deformation structure regulation and control effect is effectively improved; through hot forging and multi-stage solution treatment, a mixed crystal structure in which sub-crystals and recrystallization coexist is obtained, the fatigue crack propagation rate is remarkably reduced, and the obdurability and the fatigue resistance are synchronously improved.

The application discloses a high-temperature alloy component and process design method, comprising the following steps: collecting data of a certain brand high-temperature alloy manual, experiment and literature, and constructing a database; using a machine learning algorithm to construct a corresponding performance prediction model, using a Bayesian optimization technology, taking the required optimized alloy component range as a search range, and taking a comprehensive performance index as an optimization target to realize alloy component optimization to obtain excellent comprehensive performance; through the machine learning algorithm, process optimization of small sample data comprehensive performance is realized; and the optimized alloy component and process casting alloy are used to verify the optimized comprehensive performance. Through collecting data as a training set to train the model, the application analyzes the influence law of alloy components and processing technology on the structure performance, designs the optimized alloy components and process, reduces the cost of manpower and material resources, and reduces the research and development cycle of cast nickel-based high-temperature alloy.

The invention discloses an Al-Mg-Zn aluminum alloy plate with excellent strong plasticity and light weight characteristics as well as a preparation method and application of the Al-Mg-Zn aluminum alloy plate. The alloy comprises the following components in percentage by mass: 5.0%-5.5% of Mg, 1.5%-2.0% of Zn, 0.4%-0.5% of Mn, 0.1%-0.3% of Cu, 0.15%-0.25% of Sc, 0.1%-0.15% of Zr, 0.05%-0.15% of Ag, less than or equal to 0.1% of impurities and the balance of Al. The density is not more than 2.63 g / cm < 3 >, the tensile strength is not less than 470 MPa, and the ductility is not less than 23%. The preparation method comprises the steps of high-purity raw material smelting and casting, two-stage homogenization, hot rolling, intermediate annealing, cold rolling, solid solution treatment and single-stage aging. Wherein the total pressing amount of hot rolling is 80-85%, the total pressing amount of cold rolling is 20-35%, and the single-stage aging time is 120-140 DEG C * 16-24 h. The microstructure of the alloy is characterized in that the average size of dispersed AlSc particles is smaller than or equal to 100 nm, the area fraction of deformed grains is larger than or equal to 70%, the average size of nanometer beta-AlMg and T-Mg (Al, Zn) composite precipitated phases is smaller than or equal to 20 nm, the number density is larger than or equal to 1 * 10 < m >, the area fraction of micron-order second phases is smaller than or equal to 0.5%, and the alloy is only formed by impurity Fe. According to the method, the traditional two-stage aging process is simplified, low density, high strength and high plasticity are synchronously improved, and the method is suitable for large-scale industrial application.

The invention discloses a low-cost, flame-retardant, high-strength, high-thermal-conductivity and corrosion-resistant Mg-Al-Ca-Mn alloy and a preparation method thereof, relates to an Mg-Al-Ca-Mn alloy and a preparation method thereof, and aims to solve the problem that an existing magnesium alloy is difficult to meet the requirements of high plasticity, corrosion resistance, thermal conductivity and flame resistance at the same time. The invention provides a low-cost, high-strength, corrosion-resistant, heat-conducting and flame-retardant Mg-Al-Ca-Mn-X alloy, X is one or a combination of more of Y, Gd, La, Ce, Sm and Nd according to any ratio, the microstructure of the alloy is regulated and controlled through alloy component optimization, rare earth microalloying, a heat treatment process and a plastic deformation process, and the mechanical property of the alloy is improved. The alloy prepared by the invention has excellent mechanical property, corrosion resistance, heat-conducting property and flame retardant property. The method is applied to the field of metal materials.

The invention discloses a reverse design method and device for additive manufacturing nickel-based superalloy components, a medium and a product, and relates to the technical field of laser additive manufacturing alloy optimizing.The method comprises the steps that a performance prediction model is constructed; setting performance constraint conditions; constructing an alloy component generation model; obtaining a random vector; inputting the random vectors and the performance constraint conditions into an alloy component generation model to obtain a plurality of groups of candidate alloy components, and inputting the random vectors and the performance constraint conditions into a performance prediction model to obtain phase contents of the candidate alloy components; screening out candidate alloy components of which the phase contents do not meet performance constraint conditions to obtain primary samples; taking a multi-dimensional crack sensitivity index value as an optimization target, and constructing a Pareto frontier solution set based on the primarily selected sample; candidate alloy components corresponding to the primary samples meeting set conditions in the Pareto frontier solution set are used as optimal alloy components; and obtaining the optimized target alloy based on the optimal alloy components by adopting an additive manufacturing technology. According to the method, the alloy component design efficiency and precision can be improved.

The application relates to the technical field of austenitic stainless steel, in particular to high-strength and high-toughness austenitic stainless steel with large expansion and a preparation method thereof, alloy components of which are as follows in percentage by weight: C: 0.45-0.65 wt.%, Mn: 6.0-9.0 wt.%, Ni: 6.5-10.0 wt.%, Cr: 8.0-12.0 wt.%, Mo: 1.5-3.0 wt.%, V: 0.8-2.0 wt.%, Cu: 1.5-4.0 wt.%, Nb: 0.015-0.045 wt.% and Ti: 0.035-0.100 wt.%, and the balance is Fe. The thermal expansion coefficient of the obtained steel is superior to that of the prior art, the yield strength is greater than 950 MPa, the elongation after fracture is greater than 15%, no sensitization characteristics caused by grain boundary Cr carbide are generated, the steel is composed of pure FCC austenite with stable thermal mechanical properties, and no martensite and deformed austenite or austenite with high dislocation density appears.

The invention discloses an ultrahigh-strength maraging steel wire as well as a preparation method and application thereof, and belongs to the field of steel product manufacturing. The steel wire alloy comprises the following components in percentage by weight: 0.02%-0.05% of C, 0.10%-0.35% of Si, 0.20%-0.60% of Mn, 0.60%-2.50% of Cr, 18.5%-22.0% of Ni, 8.0%-13.0% of Co, 1.2%-2.0% of Ti, 3.0%-5.5% of Mo, 0.10%-0.50% of Al, less than or equal to 1.50% of Cu, less than or equal to 1.50% of Nb, less than or equal to 0.05% of V, less than or equal to 0.04% of N, less than or equal to 0.02% of La + Ce and the balance of Fe and inevitable impurity elements. And the equivalence ratio Nieq / Creq of nickel to chromium is greater than or equal to 1.80. The steel wire provided by the invention has ultrahigh strength, excellent toughness and plasticity, wear resistance, heat resistance, drawing performance and bending and twisting performance.

The invention discloses a machine learning guidance laser forming ultrahigh strength and toughness steel design method based on fusion of physical and chemical characteristics, which combines the physical and chemical characteristics with Shapley additive interpretation and analysis, and overcomes the limitation that a traditional pure data driving model lacks theoretical support. The quantitative analysis of the influence between the input characteristics and the output performance is realized, the internal association between the physical and chemical characteristics and the material strengthening and toughening theoretical mechanism is disclosed, the contribution degree and the interaction effect of each alloy element and the heat treatment process parameters are determined, the theoretical basis of variable screening is provided for multi-objective optimization, and the optimization efficiency is improved. Therefore, the efficiency of obtaining the non-dominated solution set is remarkably improved. According to the method, the physical and chemical characteristic combination can be conveniently and rapidly determined, the relation between the input characteristic and the output performance can be quantified, and optimal design of the laser forming ultrahigh strength and toughness steel alloy components and the heat treatment process is achieved.

The present invention relates to a bismuth alloy composition and a design method thereof. The alloy composition according to the present invention is an alloy composition comprising bismuth and a second element. The second element selected on the basis of an atomic radius difference between constituent atoms and mixing enthalpy is alloyed in an appropriate content according to a principle of improving liquid stability to provide an alloy composition satisfying a low melting point and a high degree of supercooling and exhibiting excellent flowability, which can be used as a liquid metal ion source.

The invention discloses a 1180MPa-grade ultrahigh-strength steel plate for an automobile and a preparation method of the 1180MPa-grade ultrahigh-strength steel plate, and belongs to the technical field of cold-rolled strip production. The steel plate comprises the following chemical components in percentage by mass: 0.17%-0.20% of C, 1.2%-1.6% of Si, 1.70%-2.10% of Mn, less than or equal to 0.008% of P, less than or equal to 0.005% of S, 0.30%-0.50% of Al, 0.15%-0.30% of Cr, 0.08%-0.12% of V, less than or equal to 0.0045% of N and the balance of Fe and impurities, wherein Ceq = C + Si / 30 + Mn / 20 + 2P + 4S < = 0.41. The preparation method comprises the steps of smelting, continuous casting, hot rolling, pickling cold rolling and continuous annealing. Through alloy component design and process collaborative optimization, the prepared ultrahigh-strength steel plate has high strength, high plasticity and high reaming performance, and the problem that existing bainite complex-phase steel is poor in comprehensive performance can be effectively solved.

The invention discloses a preparation process of a high-strength corrosion-resistant stainless steel fastener. The preparation process comprises the steps of material modification, warm upsetting forming, stabilizing treatment, cryogenic strengthening, gradient aging, surface treatment, post-treatment and the like. According to the process, the alloy component proportion is optimized, a thermal mechanical treatment technology of warm upsetting forming, subzero treatment and gradient aging is combined, a nano-composite coating and micro-arc oxidation sealing process is innovatively introduced, and the process comprises vacuum melting and controlled rolling of customized high-nitrogen stainless steel wires, deformation-induced martensite regulation in warm upsetting forming, low-temperature hot rolling, high-temperature hot rolling, high-temperature hot rolling, high-temperature hot rolling, high-temperature hot rolling and high-temperature hot rolling. The tensile strength and the salt spray corrosion resistance of the fastener are remarkably improved through deep cooling-medium temperature aging synergistic strengthening, double-layer nano TiN / CrN composite coating deposition and micro-arc oxidation micropore sealing treatment, the problem that a traditional stainless steel fastener is insufficient in strength and low in stress corrosion sensitivity is solved through the technology, and the technology is particularly suitable for the extreme environments such as aerospace and ocean engineering.

The invention discloses a high-value preservation utilization and harmless treatment system and method for waste aluminum. Comprising the steps of waste aluminum pretreatment (three-dimensional screening and nano bubble cleaning), dynamic paint removal (moving bed partition low-temperature catalytic pyrolysis), smelting, melt deep purification (Ar gas rotary dehydrogenation, ceramic filtration and electromagnetic refining) and aluminum ash resourceful treatment (80 DEG C hydrolysis and ammonia gas and composite salt crystallization recovery). According to the method, the problems of high cost, degraded utilization, environment-friendly defects and incomplete aluminum ash treatment of the existing waste aluminum regeneration raw materials are solved, direct regeneration of 3004 / 5052 and other high-added-value aluminum alloy plate strip foils is realized, and the alloy component deviation is less than or equal to 0.3 wt%; carbon emission is reduced to 0.82 t CO per ton of aluminum, and is reduced by 31% compared with that of traditional secondary aluminum; and the recovery rate of aluminum ash ammonia reaches 92.5%, the purity of the composite salt product is 96.3%, the double targets of high-valued cyclic utilization and harmless treatment of waste aluminum resources are achieved, and the method has remarkable economic, environment-friendly and technical advantages.