31 results about "Chemical element" patented technology

The invention discloses a high-strength Fe-Si soft magnetic material, which contains Fe and inevitable impurities, and further contains the following chemical elements in percentage by mass: 2.85 to 3.3 percent of Si, 0.6 to 1.25 percent of Mn, 0.8 to 1.4 percent of Al, 0.005 to 2.0 percent of Cu, 0.0003 to 0.01 percent of B and 0.0005 to 0.005 percent of C. The invention further discloses a manufacturing method of the high-strength Fe-Si soft magnetic material. The manufacturing method comprises the following steps: smelting and casting; hot rolling; annealing the hot-rolled plate; cold rolling; annealing a finished product: controlling the heating rate within the range of 60 DEG C / s-175 DEG C / s in a heating temperature rise section of 645 DEG C-715 DEG C, controlling the temperature of a soaking section of 720 DEG C-820 DEG C, and keeping the temperature of the soaking section for 20 s-120 s; and coating an insulating coating.

The application provides a geochemical exploration anomaly ore-bearing property evaluation method and device, obtains geochemical exploration information of a target anomaly region to be evaluated in ore-bearing property, obtains reconstruction concentration information of a chemical element at each sampling point according to the geochemical exploration information and a trained physical information neural network model, wherein the trained physical information neural network model comprises a physical simulation layer embedded with a fractional order reaction-diffusion equation; and then the target anomaly region is evaluated in ore-bearing property according to original concentration information and the reconstruction concentration information of the chemical element at each sampling point. The fractional order reaction-diffusion equation describing the ore-forming geochemical process is learned and simulated through the physical information neural network model, so that the reconstruction concentration information is more in line with the ore-forming regularity, and field verification or drilling is performed when the ore-bearing property evaluation grade of the target anomaly region is high, thereby reducing the exploration cost.

The present invention relates to a TiAlBSiN coating deposited on the surface of a substrate (1), wherein the coating (100) comprises three different coating portions along its coating thickness: a first portion (5), a second portion (10), and a third portion (50), the first portion (5) being deposited closer to the surface of the substrate (1) than the second and third portions, the second portion (10) being deposited directly on the outermost surface of the first portion (5), and the third portion (50) being deposited directly on the outermost surface of the second portion (10). The first portion (5) is formed from one or more layers, in either case formed by at least one adhesive layer, the first portion (5) exhibits either a completely cubic crystalline phase or a mixture of crystalline phases including a cubic crystalline phase and a hexagonal wurtzite phase of the crystal, and if it is a mixture of crystalline phases, it mainly exhibits a cubic phase, and at least one adhesive layer contains titanium and nitrogen; and The second portion (10) is formed from one or more layers, in either case formed by at least one support layer, the second portion (10) shows either a completely crystalline hexagonal wurtzite phase or a mixture of crystalline phases including a crystalline cubic phase and a crystalline hexagonal wurtzite phase, and in the case of a mixture of crystalline phases, it shows mainly a wurtzite phase, and the at least one support layer contains titanium, aluminum, nitrogen, and at least one chemical element selected from boron and silicon; and The third portion (50) is formed from one or more layers, in either case being formed from at least one functional layer, the third portion (50) exhibiting either a completely crystalline cubic phase or a mixture of crystalline phases including a crystalline cubic phase and a crystalline hexagonal wurtzite phase, the mixture of crystalline phases exhibiting primarily a cubic phase, and at least one functional layer containing titanium, silicon, and nitrogen.

A firing support for a ceramic powder of alkali and / or alkali-earth oxide comprising a porous ceramic body for containing said powder, said body comprising a ceramic material consisting of ceramic grains linked by a matrix; said matrix representing by mass between 5% and 50% of said material and comprising a crystalline nitride phase of chemical formula MsAltOuNv, where M is a chemical element selected from Si, Mg, Li, Zr, and s, t, u and v are stoichiometric indices between 0 and 1 and normalized with respect to the highest, and where s+t > 0, and u ≥0, and v> 0; said grains of equivalent diameter greater than 150 micrometers and less than 300 micrometers representing by volume at least 10% of said material; said body having an open porosity of between 5 and 40%, and a median equivalent pore diameter of between 0.1 and 15 micrometers. No figure

The present application relates to the technical field of pipeline steel for oil and gas transportation, and particularly relates to a low-C and low-Cr corrosion-resistant pipeline steel plate, a preparation method and a pipeline steel pipe, wherein the content of each chemical element in the low-C and low-Cr corrosion-resistant pipeline steel plate is as follows: C <= 0.03wt.%, Sb <= 0.025wt.%, Al 0.50-1.20wt.%, Mg 0.0005-0.0012wt.%, Ca 0.0012-0.0042wt.%, Cr <= 0.50wt.%, Ni 0.10-0.30wt.%, Si 0.10-0.30wt.%, Mn 1.20-1.80wt.%, Mo 0.10-0.30wt.%, Nb 0.02-0.06wt.%, V 0.03-0.08wt.%, Ti 0.01-0.03wt.%, P <= 0.01wt.%, S <= 0.001wt.%, N <= 0.005wt.%, and the balance is Fe and inevitable impurity elements. The steel plate prepared by the present application has low manufacturing cost, and has excellent mechanical properties such as yield strength, tensile strength, elongation, impact toughness, corrosion resistance and hydrogen-induced cracking resistance, and is suitable for submarine and land oil and gas transportation pipeline engineering in high-Cl ‑ , CO2 / H2S corrosion environment.

A magnesium alloy profile extrusion die sticking analysis method, comprising the following steps: 1) determining the chemical element types of the alloy and the die steel; 2) obtaining the compound composition possibly generated at the interface of all alloys and die steels through a thermodynamic calculation software Thermal-Calc; 3) obtaining the Gibbs free energy size of all possible generated compounds through Thermal-Calc, and inferring the most possible compound generated at the interface of the alloy and the die steel; 4) hot dipping experiment, preheating the die steel and then putting it into the alloy melt with fixed temperature holding; 5) microscopically observing the interface of the die steel and the alloy; 6) analyzing the element distribution of the interface layer by using energy spectrum analysis EDS; 7) combining the results of steps 5) and 6) for judgment. The present application combines thermodynamic calculation, hot dipping interface microscopic characterization and interface element analysis to analyze the die sticking problem in the magnesium alloy profile extrusion process.

The invention discloses a Fe-Si soft magnetic material, which contains Fe and inevitable impurities, and further contains the following chemical elements in percentage by mass: 2.75 to 3.35 percent of Si, 0.1 to 1.0 percent of Mn, 0.005 to 0.35 percent of Cr and at least one of Al, Ni and Co, and the total content of the Fe-Si soft magnetic material is 0.1 to 1.5 percent. The invention further discloses a manufacturing method of the Fe-Si soft magnetic material. The manufacturing method comprises the following steps: smelting and casting; hot rolling; annealing of the hot rolled plate: the first heating rate of a first heating section at 350-620 DEG C is 20-35 DEG C / s, the second heating rate from 620 DEG C to the soaking temperature is 35-80 DEG C / s, the soaking temperature is 850-1000 DEG C, and the heat preservation time is 50-300 s; cold rolling; annealing a finished product; and coating an insulating coating.

This invention relates to the field of geological modeling and spatial analysis technology, specifically disclosing a method for inferring the migration patterns of chemical elements in a geochemical field. Employing a data-driven approach, it directly learns migration patterns from geochemical data. Compared to traditional numerical simulation methods that rely on precise hydrogeological parameters, this method reduces the dependence on the accuracy of physical models and parameters. Furthermore, this invention models the spatial topological relationships between sampling points using a GAT network, enabling the capture of complex spatial structural relationships, dynamic adjustment of the influence of different neighboring nodes, and clear identification of branching and converging features of migration paths. This effectively characterizes the nonlinear dynamic processes in the migration of chemical elements in a geochemical field.

The application relates to an artificial intelligence generation method and system of a ferroelectric material component-temperature phase diagram, and the method comprises the following steps: acquiring a chemical formula of a ferroelectric material with a doping variable, and setting the chemical formula into a string form; setting the change range and step length of the doping proportion and temperature; processing chemical elements and the doping proportion in the chemical formula of the ferroelectric material with the doping variable in the string form to obtain a chemical formula numerical vector list; forming a temperature list according to the set change range and step length of the temperature, and performing normalization processing to obtain a normalized temperature list; based on the chemical formula numerical vector list and the normalized temperature list, performing merging and inputting into a pre-trained crystal phase transition artificial intelligence model to output a crystal structure type; and based on the crystal structure type, a component-temperature phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions is drawn. Compared with the prior art, the application has the advantages of automatically generating a component-temperature phase diagram.

The application provides a kind of low-temperature high-toughness pipe fitting steel plate, comprising the following mass percentage of chemical elements: C: 0.05~0.07%, Si: 0.15~0.19%, Mn: 1.5~1.7%, Cu: 0.1~0.35%, Ni: 0.2~0.5%, Cr: 0.1~0.35%, Mo: 0.1~0.3%, V: 0.001~0.02%, Nb: 0.02~0.05%, Ti: 0.008~0.015%, Ca: 0.002~0.004%, Al: 0.02~0.04%. The application also provides a preparation method of the steel plate, which comprises heating, rough rolling, finish rolling and cooling of the slab. The steel plate has excellent impact toughness and can be used to manufacture pipe fittings for long-distance oil and gas pipeline projects in high-cold areas, so as to improve the safety of pipe fittings in long-distance oil and gas pipeline projects.

The application discloses a Fe-Si soft magnetic material with a yield strength of 750 MPa, which contains Fe and inevitable impurities, and further contains the following chemical elements with mass percentage as follows: Si: 3.4%-4.0%, Mn: 0.2-1.1%, Cr: 0.3-1.5%, Cu: 0.2-1.0%, and Al: 0.7-1.5%. The application discloses a manufacturing method of the Fe-Si soft magnetic material with the yield strength of 750 MPa, which comprises the following steps: smelting and casting, hot rolling, annealing of the hot-rolled plate, cold rolling, product annealing, coating of an insulating coating, and the like.

Methods and systems for determining sample composition from spectral data. Methods and systems are disclosed for determining sample composition from spectral data acquired by a charged particle microscope system. Chemical elements in a sample are identified by processing the spectral data with a trained neural network (NN). If the identified chemical elements do not match a known elemental composition of the sample, the trained NN is retrained with the spectral data and the known elemental composition of the sample. The retrained NN can then be used to identify chemical elements within other samples.

The application discloses a 1300MPa or above grade cold-rolled steel plate with high elongation and high hole expanding performance, which contains Fe and inevitable impurity elements, and also contains the following chemical elements with mass percentage as follows: C: 0.15%-0.30%, Si: 0.3%-0.5%, Mn: 1.8%-2.5%, Al: 0.01%-0.03%, B: 0.001-0.003%, Ti: 0-0.05%, and the mass percentage of C and Mn satisfies C+Mn / 6>=0.52; wherein the microstructure of the cold-rolled steel plate has nano precipitates with an average diameter less than 30nm. In addition, the application also discloses a manufacturing method of the above-mentioned 1300MPa or above grade cold-rolled steel plate, which comprises the following steps: (1) smelting and casting; (2) hot rolling; (3) hot coil heat preservation cover annealing; (4) cold rolling; (5) annealing; (6) isothermal heat preservation treatment; (7) cooling; (8) flattening.

The application discloses a 1300MPa or more grade cold-rolled steel plate, which contains Fe and inevitable impurity elements, and also contains the following chemical elements with mass percentage as follows: C: 0.10%-0.30%, Si: 0.1%-0.5%, Mn: 0.8%-2.5%, Al: 0.01%-0.03%, B: 0.001-0.003%, Ti: 0-0.05%, and the mass percentage of C and Mn satisfies C+Mn / 6>=0.35%. In addition, the application also discloses a manufacturing method of the above-mentioned 1300MPa or more grade cold-rolled steel plate, which comprises the following steps: (1) smelting and casting; (2) hot rolling; (3) cold rolling; (4) annealing; (5) continuous tempering temperature: the tempering temperature is 400-550 DEG C, the tempering time is 10-300s, and then the temperature is cooled to room temperature at a speed of 30 DEG C / s or more; (6) flattening; (7) discontinuous tempering: the tempering temperature is 180-260 DEG C, and the tempering time is 0.5-6h.

The application discloses an experimental method and system for testing the dissolution degree of a fracture surface. A plurality of homologous core samples are obtained from the same geological unit and a standardized reaction surface is prepared; initial physical property parameters are obtained; at least two samples are placed in a closed reaction environment simulating reservoir temperature and pressure and fluid flow conditions for dynamic dissolution experiments; at a plurality of preset time nodes, the reacted samples are sequentially taken out for destructive testing under the premise of ensuring the continuity of the thermodynamic and hydrodynamic states of the reaction system, and morphology and mechanical property evolution data are obtained; meanwhile, the outflow is continuously collected according to the period to analyze the element content change; the initial physical property parameters, the time-series mechanical property evolution data and the time-series chemical element release data are integrated to establish a quantitative dynamic correlation model between the dissolution degree of the fracture surface and the mechanical property evolution. The application realizes high-fidelity comprehensive evaluation of the dissolution evolution law of the fracture surface, and provides key data support for the optimization of the fracturing process and the safety evaluation of CO2 storage.

This invention discloses a method for constructing and querying the periodic table based on a two-dimensional linked list, belonging to the field of chemical element information storage and query technology. The method includes the following steps: First, constructing node units containing the core physicochemical properties of elements; second, using rows to represent periods and columns to represent groups, connecting element nodes in a two-dimensional manner according to the periodic table order, where the upper connection for hydrogen (H) is set to NULL as a topological anchor point; nodes of the same period are connected by horizontal pointers, and nodes of the same group are connected by vertical pointers; subsequently, efficient multi-condition querying is implemented, which can quickly locate the target element and obtain its complete properties; it also supports efficient addition and deletion of elements through pointer operations; finally, utilizing the last-in-first-out (LIFO) property of a stack, the relative molecular mass of compounds containing brackets is calculated, significantly improving computational efficiency. This invention solves the problems of rigidity, low query efficiency, high cost of addition and deletion, and cumbersome compound calculations in traditional static storage structures. It offers a flexible structure and efficient operation, and can be widely applied to element information management and calculation in chemical-related fields.

DEPCT66 The presence of a chemical element (1) containing 0.15 percent by mass to 1.00 percent by mass of Nb, and (2) which contains Mg0.0005 percent by mass to 0.0100 percent by mass, by (3) amount of Al filling It was controlled within a range of values ​​of 0.55 percent by mass to 2.00 percent by mass, and (4) Consistent with the correlation 0.0004 less than or equal to [Mg] / [Al] less than or equal to 0.0050 -----------------------------------------------------------

This invention discloses a cold-rolled steel sheet, which, by mass percentage, comprises the following chemical elements: C: 0.190–0.250%, Si: 0.60–1.30%, Mn: 2.00–2.50%, Al: 0.20–0.80%, with the remainder being Fe and unavoidable impurities. The microstructure of the cold-rolled steel sheet includes ferrite, retained austenite, and at least one of the following: distributed martensite and tempered martensite; wherein the carbon content of the retained austenite satisfies: C RA ≥(833-Tp-7400*W) Mn -W Si ) / 24100*100%, C RA W represents the carbon content (wt%) of the retained austenite. Mn and W Si These represent the mass percentages (wt%) of Mn and Si elements in the cold-rolled steel sheet, respectively, and Tp represents the distribution temperature during continuous annealing, which is 350–430°C. This invention discloses a method for manufacturing cold-rolled steel sheets. The cold-rolled steel sheet of this invention possesses high strength-ductility product, high yield strength, and low alloy cost.

Disclosed in the present invention is a medium-carbon round steel, comprising, in addition to Fe and inevitable impurities, the following chemical elements in percentage by mass: C: 0.36-0.43%, Si: 0.1-0.4%, Mn: 0.6-1.0%, Cr: 0.6-1.0%, Mo: 0.2-0.4%, Ni: 1.4-1.7%, Al: 0.02-0.04%, and N: 0.008-0.015%. The round steel is obtained by annealing, and the microstructure of the round steel is lamellar pearlite and spherical pearlite. In addition, also disclosed in the present invention is a method for manufacturing the medium-carbon round steel, comprising the following steps sequentially conducted: (1) smelting and casting; (2) heating; (3) forging or rolling; (4) stepped annealing; and (5) surface treatment.

This application provides a method, apparatus, device, and storage medium for hardness treatment of castings. The method acquires historical attribute information of multiple historical castings, including the Brinell hardness and chemical composition of the castings; obtains target chemical elements based on a vector regression model constructed using a genetic algorithm; acquires multiple first historical castings with Brinell hardness less than a preset hardness and multiple second historical castings with Brinell hardness greater than or equal to the preset hardness; projects the target chemical composition corresponding to the target chemical element of the first and second historical castings onto a two-dimensional plane using the Fisher algorithm to obtain a target projection distribution range; wherein, if the projection point of the target chemical composition of a new casting onto the two-dimensional plane is located within the target projection distribution range, then the Brinell hardness of the new casting meets the preset requirements; thus, the chemical composition corresponding to different casting hardnesses can be quickly found, saving experimental time and reducing costs.

Disclosed in the present invention is a high-strength Fe-Si soft magnetic material, comprising Fe and inevitable impurities, and further comprising the following chemical elements in wt%: 2.85-3.30% of Si, 0.20-1.25% of Mn, 0.80-1.40% of Al, 0.005-2.000% of Cu, 0.0003-0.0100% of B, and 0.0005-0.0050% of C. Further disclosed in the present invention is a method for manufacturing the high-strength Fe-Si soft magnetic material, comprising the following steps: smelting and casting; hot rolling; annealing of a hot-rolled sheet; cold rolling; annealing of a finished product: in the heating zone, the temperature is 645°C-715°C, and the heating rate is controlled in the range of 60°C / s-175°C / s, and in the soaking zone, the temperature is 720°C-820°C, and the thermal preservation duration is 20 s-120 s; and coating an insulating coating.

The present invention discloses a non-oriented silicon steel, in addition to Fe and inevitable impurities, comprising the following chemical elements in percentage by mass: C≤0.0050%, Si: 2.0-4.0%, Mn: 0.1-2.0%, Al: 0.001-2.0%, Cr: 0.001-5.0%, Ni: 0.001%-5.0%, Cu: 0.001-2.0%, wherein the corresponding chemical elements in percentage by mass further satisfy the following: 0<3×Si+0.5×Al+0.5×Mn-5×Cu-2.5×Cr—Ni≤13.5%, wherein each element symbol in the formula represents the percentage by mass of the corresponding element. The present invention further discloses a method of manufacturing the above non-oriented silicon steel. By using the solution of the present invention, a non-oriented silicon steel plate with excellent overall performance in terms of good heat conduction and electromagnetic performance can be obtained.

The present disclosure provides a cylinder tube, comprising, in addition to Fe and inevitable impurities, the following chemical elements in percentage by mass: C: 0.14-0.20%; Si: 0.15-0.55%; Mn: 0.5-1.5%; Cr: 0.5-1.5%; Mo: 0.25-0.65%; W: 0.3-0.8%; V: 0.05-0.1%; Nb: 0.02-0.06%; Al: 0.01-0.05%; Ca: 0.0005-0.005%. The present disclosure further provides a method for manufacturing the aforementioned cylinder tube. Through a rational design of chemical composition and, preferably, in combination with specific processes, the cylinder tube exhibits high strength, and possesses low residual stress and a low yield ratio, while exhibiting good weldability.

The application relates to a function parameter optimization method of a molecular structure-based organic compound multibody descriptor, which automatically optimizes main function parameters for constructing a molecular structure multibody effect descriptor by using a Bayesian optimization method, and realizes rapid construction of a precise prediction model of typical properties of a novel single-molecule organic energetic compound. It is verified that the application has the characteristics of convenience, high efficiency and high reliability, is not limited to the molecular structure and constituent chemical elements of an organic compound, and has high universality. The method has important significance for design and construction research of an energetic molecule descriptor, and can be applied to training and optimization of a prediction model of target properties of various types of single-molecule organic compounds.