32 results about "Phase composition" patented technology

The application provides a high-B-value linear NTC thermistor material with good batch consistency, a preparation method thereof and a thermistor element, relates to the technical field of NTC thermistor materials, and is characterized in that a NiO-ZnO binary oxide system is selected, ZnO is used as a main crystal phase, the conductive behavior and resistance-temperature characteristics of the material are controlled through a small amount of NiO, a NiO-ZnO linear NTC thermistor material directly physically compounded by NiO and ZnO is formed, the system composition is more simplified, the composite path is shorter, the phase composition is more easily controlled, the composition fluctuation and the organization non-uniformity caused by the complex second phase generation process, the insufficient local reaction or the uneven phase distribution can be reduced, and therefore the performance dispersion between different batches is reduced, and the consistency and the repeatability of the material preparation are improved.

The application belongs to the technical field of non-ferrous metal materials, and particularly discloses a method for preparing high-strength and high-conductivity nano-heterostructure copper-chromium-zirconium alloy through multi-stage deformation and multi-stage aging. The copper-chromium-zirconium alloy has a composition by mass percentage of Cr: 0.5wt%-1.0wt%, Zr: 0.05wt%-0.1wt%, and the balance being copper. The method obtains a new microstructure structure, i.e. a composite structure composed of nano-crystal, nano-twin crystal, nano-precipitated phase and grown micro-precipitated phase. The nano-crystal matrix has a certain component of nano-twin crystal, and is uniformly and diffusely distributed with nano-precipitated phase and part of grown precipitated phase. The new type of copper alloy has a tensile strength of 750MPa-850MPa and an electric conductivity of 75%-80% IACS, and can meet the demand of the electrical and power industries for high-performance copper-chromium-zirconium alloy.

The invention relates to the technical field of material analysis, and discloses a reinforcing steel bar surface oxide structure composition microscale analysis method, which comprises the following steps: obtaining a high-fidelity sample through a layered inert protection sample preparation technology, and sequentially analyzing oxide microstructure and element distribution by adopting a scanning electron microscope-energy spectrum coupling technology, atomic-scale crystal defect observation is realized by combining a spherical aberration correction transmission electron microscope, macroscopic phase composition and microcell chemical valence information are respectively acquired synchronously through X-ray diffraction and X-ray photoelectron spectroscopy, and finally a cross-scale correlation model covering morphological characteristics, crystal structures, phase distribution and chemical states is constructed through multi-source data fusion. And micro-scale structure analysis is realized. Through combination of a multi-source characterization technology, steel bar oxide cross-scale analysis is realized, a high-fidelity sample preparation technology is adopted to guarantee an original state of a sample, a chloride ion diffusion quantitative model fused with crystal defect parameters is constructed, and rust layer protection evaluation is improved from qualitative observation to quantitative prediction.

The invention discloses a component-induced high-degree-of-freedom heterostructure metal material and a preparation method thereof, and belongs to the field of advanced structure metal materials. According to the method, space geometry, microstructures and phase composition characteristics of a hard area and a soft area are designed in advance through machine learning, phase induction elements are selected according to the space geometry, the microstructures and the phase composition characteristics, and stirring friction alloying parameters of corresponding areas are determined through thermodynamic calculation and an empirical formula. And finally, high-precision manufacturing of the target structure is achieved by planning an adding position and a tool moving path. The method gets rid of the dependence of a traditional preparation process on overall uniform processing, realizes multi-scale and customizable construction of a heterostructure from a macrostructure to a microstructure, and provides a brand new design idea for high-performance metal materials required by high-end equipment.

This invention relates to the field of additive manufacturing technology, and provides a method for controlling the microstructure of titanium alloys and its application in the field of medical implants. Pure Mo particles with an average particle size of 10 micrometers, pure Mo particles with an average particle size of 30 micrometers, and Ti6Al4V alloy powder with a particle size range of 15-53 micrometers are selected as raw materials. Powders of different masses from Si are uniformly mixed for at least 5 hours. A dense Ti6Al4V alloy is prepared by optimizing process parameters. Ti6Al4V alloys with α+β dual-phase microstructures with different β-phase contents are prepared. The β-phase content in the formed sample is controlled by changing the overall content of Mo powder. The beneficial effect is that adding Mo powder to control the phase composition of laser powder bed molten Ti6Al4V alloy can achieve the transformation from a completely α-phase to a completely β-phase in the laser powder bed molten Ti6Al4V alloy.

The application discloses a low-loss high-Curie-point bismuth ferrite-barium titanate lead-free piezoelectric ceramic material and a preparation method thereof. 1.02 FeO3-(0.25-x)BaTiO3-xCaZrO3+y%GeO2+z%MnO2; wherein x, y and z represent molar fractions, 0.005<=x<=0.020, 0.3<=y<=1, 0.5<=z<=1.5. The application introduces the third component CaZrO3, and adds GeO2 and MnO2, controls the crystal phase composition and the conductive carrier concentration, improves the microstructure, reduces the loss and improves the temperature stability, so that the Curie temperature, the depolarization temperature and the piezoelectricity are obviously improved. The lead-free piezoelectric ceramic material provided by the application has a simple synthesis process, and is expected to be applied to the preparation of high-temperature piezoelectric sensor devices.

The invention provides a Cr2Se3 single crystal and a preparation method thereof, and relates to the technical field of crystal materials. According to the preparation method of the Cr2Se3 single crystal, the steps from raw material proportioning, cooked powder preparation to the single crystal growth process cooperate to inhibit impurity introduction and impurity phase generation, meanwhile, ordered arrangement of atoms is promoted, lattice vacancy and dislocation are eliminated, and the Cr2Se3 single crystal good in single-phase property, high in crystallinity and extremely low in defect density is prepared. Due to the high-purity and low-defect single-crystal structure, the semiconductor transport characteristic and antiferromagnetic orderliness of the single-crystal structure are guaranteed; meanwhile, interference of impurity scattering and lattice distortion is eliminated, the regulation and control effect of a magnetic field on the Cr atom magnetic moment is optimized, and the single crystal has the strong CMR effect close to-100%. And through cooperation of all the steps, it is ensured that the prepared Cr2Se3 single crystals are consistent in size, phase composition and structural integrity, and the preparation success rate and the controllability and repeatability of the process are greatly improved.

The application discloses a component-controllable simulated moon soil preparation method based on thermal phase change and belongs to the technical field of moon soil simulation material preparation.The application realizes controllable adjustment of the content of main mineral phases (plagioclase, pyroxene, olivine and amorphous phase) through thermal melting and crystallization processes, and determines the mixing ratio in combination with a nonlinear programming model, so that the simulated moon soil is highly similar to the target moon soil in terms of mineral phase composition, microstructure, optical performance and thermal performance.The method provides a high-fidelity simulation material with adjustable components for the ground experiment of ISRU technology (such as sintering, metallurgy and in-situ 3D printing), and solves the problem that the traditional simulation material preparation method cannot perform fine component factor test design in the related technical research process.

The application relates to a preparation method of a micron-flower-shaped 1T / 2H phase molybdenum disulfide wave-absorbing material, and belongs to the technical field of electromagnetic wave absorbing material preparation. The application aims to solve the technical problems of unclear dielectric regulation mechanism of transition metal sulfide wave-absorbing material, narrow electromagnetic wave absorption band and weak absorption intensity. The method comprises the following steps: synthesizing high-purity 1T-MoS2 by a hydrothermal method; and gradually converting the phase composition of MoS2 from 1T phase to 2H phase by controlling the heat treatment temperature and time. The application utilizes the huge difference in dielectric properties and stability between the two phases of MoS2 to enhance the wave-absorbing performance. Compared with the prior art, the material preparation process is simple, the raw material cost is low, and the material can be produced on a large scale. Compared with other pure TMDs wave-absorbing materials, the composite wave-absorbing material has the characteristics of light weight, strong absorption, wide frequency band and thin matching thickness. The micron-flower-shaped 1T / 2H phase molybdenum disulfide wave-absorbing material prepared by the method can be applied to the field of electromagnetic wave absorbing materials.

The invention discloses a device for measuring Young modulus of polybutylene-1, which belongs to the technical field of Young modulus measurement and has the measurement principle that the average T2 relaxation rate and Young modulus of the polybutylene-1 have good correlation. According to the measuring device, the Young modulus of a series of polybutylene-1 with different structures at different temperatures can be quickly obtained by utilizing the relationship. The method comprises the following steps: respectively measuring a stress-strain curve and a T2 relaxation curve of a polybutylene-1 sample in different states by using a stretching instrument and a low-field solid nuclear magnetic resonance spectrometer, obtaining Young modulus and a corresponding average T2 relaxation rate by using a corresponding program, and obtaining a linear function corresponding to the Young modulus and the average T2 relaxation rate; after the linear function is obtained, the Young modulus does not need to be obtained by repeatedly carrying out stretching detection on a sample through a stretching instrument like a traditional method, only the corresponding T2 relaxation time and phase composition need to be measured through a low-field solid nuclear magnetic resonance spectrometer, and then the Young modulus of polybutylene-1 in different states can be obtained by substituting the relaxation time and the phase composition into the function for calculation.

The present invention discloses a method and system for sparse reconstruction of X-ray diffraction spectra based on a dynamic dictionary. The method generates an initial dictionary, dynamically optimizes and updates the dictionary, and obtains a sparse dictionary. Based on the sparse dictionary, a subset of X-ray diffraction scanning angles is selected, an observation matrix is ​​constructed, the observation process is encoded, and compressed sampled X-ray diffraction projection data is obtained. Sparse vectors are obtained from the obtained compressed sampled X-ray diffraction projection data to obtain a reconstructed spectrum. The accuracy of the sparse representation is improved. The present invention provides a high-throughput XRD material spectrum analysis method that combines dynamic dictionary learning, compressed sensing theory, and deep learning, aiming to improve the efficiency and accuracy of crystal structure identification and phase composition analysis in new material research and development.

The present invention discloses a large-sized ETA-phase strengthened superalloy and a preparation method thereof, aiming to improve the high-temperature resistance of the alloy. To this end, on the one hand, the large-sized ETA-phase strengthened superalloy provided by an embodiment of the present invention, in terms of phase composition, the superalloy includes a matrix, γ' phase and η phase; wherein, the grain size of the matrix is 10-30 μm, the γ' phase is dispersedly distributed in the matrix, the η phase is uniformly distributed in the matrix, the distribution form of the η phase is divided into needle-shaped and sheet-shaped, the average length of the η phase is 30-50 μm, and the size of the γ' phase is 30-200 nm.

A method for determining a temperature achieved on a substrate by a heating process includes receiving the substrate including a metal containing layer disposed over a first layer, the metal containing layer including a metal, the first layer including a first material different from the metal containing layer, and performing the heating process to heat the substrate using a pulsed laser. The method further includes, after performing the heating process, determining a phase composition of the metal containing layer and a material composition of the metal containing layer using a diffraction technique. And the method further includes, using the phase composition and the material composition of the metal containing layer, determining the temperature of the substrate achieved by the heating process.

The application relates to the technical field of glass ceramics, and discloses a tri-clinic nepheline glass ceramic as well as a preparation method and application thereof. The glass ceramic comprises the following components in terms of molar percentage: 43-58 mol% SiO2, 15-27 mol% Al2O3, 20-30 mol% Na2O, 0-10 mol% Li2O, 0-10 mol% K2O, 0-5 mol% P2O5 and 0-3 mol% ZrO2. The glass ceramic provided by the application has a crystallinity of more than 80%, a crystal size of less than 90 nm, an average transmittance of more than 90% in a visible light band, and a crystal phase composition containing only a main crystal phase tri-clinic nepheline phase or containing a secondary crystal phase nepheline phase and a phosphate phase. The reduction or removal of the phosphate phase in the crystal phase improves the chemical stability of the glass ceramic and enables chemical strengthening.

Sheet-like glass ceramic article are provided that include surfaces with a thickness between the surfaces between 0.5 mm and 1.9 mm and a core. The articles have a first microstructure provided on each of the surfaces and have a second microstructure in the core with a second thickness (d2). The first microstructures extend inwardly from the surfaces towards the core and has a first thickness (d1). The first microstructure has a difference from the second microstructure selected from a group consisting of: a crystalline phase type, a crystalline phase amount, crystalline phase size distribution, crystalline phase orientation, crystalline phases composition, crystalline inclusion, an amorphous phase type, an amorphous phase percentage amount, an amorphous phase composition, and any combinations thereof. The difference results in a first coefficient of linear thermal expansion of the first microstructure that is smaller than a second coefficient of linear thermal expansion of the second microstructure.

This invention discloses an Ag-Cu-Pd quaternary metal solder and its design method. The method includes: constructing Gibbs energy models for each phase in the quaternary metal system and obtaining a database for predicting solidification paths, phase composition, and phase transition temperatures; setting the silver-copper ratio and palladium content in the quaternary metal system, using the remaining metal as a control variable, calculating equilibrium solidification through the database, and obtaining the melting temperature and melting range of the quaternary metal system; matching the melting characteristics with the target solder based on the melting temperature and melting range, and obtaining the as-cast and service microstructures of the quaternary metal system within the matching range, then matching the microstructure and phase composition with the target solder, using the lowest cost as a constraint, to obtain the final quaternary metal solder composition. Compared with the corresponding target solder, the solder obtained by this method reduces palladium usage by approximately 8-25%, reduces costs by 7.30-17.64%, and maintains the same key process performance, achieving an economical substitution of precious metal solders.

The application provides a Ca-based low-dielectric microwave dielectric ceramic and a preparation method thereof, which is prepared from a compound with a chemical formula of xCaO-yMO-zAl3O2-kNO2 (M is Mg or Zn; N is Si or Ge), and the main crystal phase of the compound has a chemical formula of Ca4MAl2N3O 14 (M is Mg or Zn; N is Si or Ge). The Ca-based low-dielectric microwave dielectric ceramic prepared by the above method overcomes the defects in the synthesis of low-dielectric microwave dielectric ceramics in the prior art, has the characteristics of low dielectric constant and high quality factor, has the advantages of simple synthesis process and stable main crystal phase composition, and is a low-dielectric microwave dielectric ceramic material suitable for millimeter wave communication.

The present invention relates to a high-entropy rare earth titanate ceramic coating material and a preparation method thereof, belonging to the technical field of high-entropy ceramic materials. The phase composition of the coating material is (La 0.3 K 0.1 Ca 0.2 Sr 0.2 Ba 0.2 )TiO 3+δ . The preparation method is to wet ball-mill and mix the raw material powders evenly to form a slurry, dry it, then heat it up to 900 °C to 1000 °C and keep it at a constant temperature for pre-calcination for 2 h to 3 h, cool it with the furnace, then heat it up to 1300 °C to 1400 °C and keep it at a constant temperature for calcination for 10 h to 15 h, and then cool it down to obtain the coating material. The coating material is successfully prepared into an ideal new high-entropy rare earth titanate ceramic coating material by the design addition of doping elements and by adjusting process parameters, which changes its crystal structure, microstructure and oxygen vacancy defect concentration, making the density of the coating bulk material greater than 98.4%, the Vickers hardness 10 GPa to 12 GPa, and the thermal conductivity 1.39 W·m ‑1 ·k ‑1 ~1.75 W·m ‑1 ·k ‑1 ; The process flow for preparing the coating material by the high-temperature solid-phase reaction method is simple, the preparation cost is low, and it is easy to promote.

The invention relates to the technical field of pharmaceutical production workshops, in particular to a real-time crystal form control method and process control system for an urapidil crystallization process, and the method comprises the following steps: collecting spectral data of urapidil crystal slurry in a crystallization kettle in real time through a terahertz time-domain spectrometer; and analyzing by using a quantitative analysis model to obtain the real-time mass fraction of each crystal phase. And inputting the crystal form parameters into a process feedback control model, generating a control instruction according to a preset logic, and dynamically adjusting the process parameters such as the cooling rate and the stirring strength to form closed-loop feedback control. The system adopts an intelligent process unit design integrating a terahertz monitoring unit and a distributed control system. The method is suitable for modern pharmaceutical workshop design, and can realize online quantitative monitoring of phase composition in the urapidil crystallization process and automatic closed-loop control of process parameters, thereby eliminating inter-batch difference of product crystal forms.

Disclosed are a material analysis method based on the crystal structure database, a system, a computer-readable storage medium and an application. The material analysis method includes comparing experimental pattern information obtained from examination of a to-be-tested sample with theoretical pattern information calculated from material structure data in the crystal structure database, and obtaining crystallographic information and phase composition of the to-be-tested sample through intelligent analysis. The crystallographic information include space group, unit cell parameter, and specific coordinates of atoms in unit cell. The crystal structure database has material structure data obtained by experimental measurement and / or theoretical prediction, including chemical formula, space group, unit cell parameter and specific coordinates of atoms in unit cell. Based on this method, large-scale high-throughput and high-precision material analysis can be achieved, laying the foundation for building a data mining and analysis platform for material patterns.

The application relates to an alloy high-flux preparation and characterization method, which comprises the following steps: preparing a first alloy rod material with a carbon content gradient in a radial direction; gradient heat treating the first alloy rod material, so that the first alloy rod material has a temperature gradient in the axial direction during the heat treatment process, and a second alloy rod material is obtained; cutting the second alloy rod material into a half cylinder along the carbon content gradient direction, performing Vickers hardness tests on different positions of the rectangular cross section of the half cylinder, and determining boundary conditions for one-dimensional steady-state heat conduction calculation and division of regions with different characteristic microstructures; and respectively adopting synchronous X-ray diffraction and high-speed nanoindentation tests to characterize phase compositions and phase characteristics of different positions of the rectangular cross section of the half cylinder. By adopting the above method, a UniSteel alloy composition-heat treatment process-microstructure-mechanical property relationship can be quickly established, and data support is provided for subsequent rapid screening of optimized alloy compositions (carbon contents) and heat treatment processes (isothermal holding temperatures), so that the work amount is greatly reduced, the research efficiency is improved, and the application has important significance.

The application discloses a rare earth sintered Nd-Fe-B magnet, a preparation method thereof and a use of praseodymium hydride. The rare earth sintered Nd-Fe-B magnet has an element composition of (R1, R2)-T-B-M; the rare earth sintered Nd-Fe-B magnet is composed of a sintered body containing main phase crystal grains and a grain boundary phase; the main phase crystal grains are composed of (R1, R2)2T 14 B phase; the Pr concentration C1 of the edge of the main phase crystal grains is higher than the Pr concentration C2 of the center of the main phase crystal grains; the R1 concentration of the grain boundary phase is higher than the R1 concentration of the main phase crystal grains; and the average thickness of the grain boundary phase is 20-60 nm. The coercive force and the remanence of the rare earth sintered Nd-Fe-B magnet reach a good balance.

The invention discloses a method for calculating high-temperature elastic-plastic constitutive behaviors and toughness characteristics of crystal-amorphous double-phase metal based on a deformation mechanism and microstructure composition, which is based on an elastic-plastic theoretical framework, considers the deformation mechanism and the microstructure composition, realizes numerical calculation through MATLAB (matrix laboratory), and calculates the high-temperature elastic-plastic constitutive behaviors and toughness characteristics of the crystal-amorphous double-phase metal based on the deformation mechanism and the microstructure composition. And the high-temperature uniaxial stretching / compression elastic-plastic constitutive behavior and the toughness characteristic of the crystal-amorphous biphase metal are simulated and predicted. According to the method, microstructure characteristics such as metal internal grain size, dislocation density evolution, microcrack generation and evolution and amorphous integral number evolution along with temperature are considered, and high-temperature uniaxial tension / compression elastic-plastic constitutive behaviors and toughness characteristics of metal materials with microstructures composed of crystal phases and amorphous phases are simulated and predicted. In the preparation of a crystal-amorphous biphase metal material and a high-temperature mechanical property measurement experiment, a theoretical basis is provided for the high-temperature tensile / compressive property change of the crystal-amorphous biphase metal, and a theoretical guidance can be provided for improving the high-temperature mechanical property of the crystal-amorphous biphase metal.

A method for determining a temperature achieved on a substrate by a heating process includes receiving the substrate including a metal containing layer disposed over a first layer, the metal containing layer including a metal, the first layer including a first material different from the metal containing layer, and performing the heating process to heat the substrate using a pulsed laser. The method further includes, after performing the heating process, determining a phase composition of the metal containing layer and a material composition of the metal containing layer using a diffraction technique. And the method further includes, using the phase composition and the material composition of the metal containing layer, determining the temperature of the substrate achieved by the heating process.

The invention discloses a preparation method of component-controllable lunar soil simulation based on thermally induced phase change, and belongs to the technical field of lunar soil simulant preparation. Controllable adjustment of the content of main mineral phases (plagioclase, pyroxene, olivine and amorphous phase) is realized through thermally induced melting and crystallization processes, and a mixing ratio is determined in combination with a nonlinear programming model, so that the simulated lunar soil highly simulates target lunar soil in mineral phase composition, microstructure, optical performance and thermal performance. According to the method, a high-fidelity simulation material capable of regulating and controlling components is provided for ground experiments of ISRU technologies (such as sintering, metallurgy and in-situ 3D printing), and the problem that fine component factor experimental design cannot be carried out in the related technology research process of a traditional simulant preparation method is solved.

The invention relates to the field of Ti2AlNb alloy manufacturing, and discloses a method for in-situ manufacturing of a high-performance Ti2AlNb alloy through particle size regulation and laser directional energy deposition, particle size regulation and premixing of Ti powder, Al powder and Nb powder are carried out through a planetary ball mill, and the Ti2AlNb alloy with excellent performance is manufactured in situ through LED. According to the method, the three kinds of particles can be fully melted and mixed, so that element enrichment and depletion are reduced, meanwhile, phase compositions of the top area and the middle area of a component are B2 and B2 + alpha2 + O phases respectively, and the cooling rate is increased through uneven heat conduction; the Nb particles with the high melting point serve as heterogeneous nucleation substrates, the local heat flow direction in front of a solid / liquid interface is changed through heat released by negative mixing enthalpy, and therefore the growth direction of original crystal grains is changed, and finally the structure is refined. The average tensile strength at the room temperature is 994.5 + / -46.29 MPa, and compared with a component manufactured through pre-alloying powder, the average UTS is improved by 14%, grains are refined by 14%, the geometric dislocation density is increased by 60.8%, and the cost is reduced by about 80%.

The present invention discloses an AlN reinforced lightweight heat-resistant high entropy alloy and a preparation method thereof. The atomic ratio of the alloy elements is expressed as follows: Al a CoCrFeNi b N c , wherein, 0.8≤a≤1.4, 1.8≤b≤2.4, 0.001≤c≤0.02. The preparation steps are: selecting a lightweight high entropy alloy system, calculating Gibbs free energy and interface energy, designing alloy composition, and preparing alloy ingots. The microstructural characteristics of the AlN reinforced lightweight heat-resistant high entropy alloy are composed of primary FCC phase dendrites and eutectic crystal layer organization, the eutectic crystal layer organization is composed of FCC phase and BCC phase, and submicron and micron AlN phases are dispersed in the primary FCC phase and the FCC phase in the eutectic crystal layer. The alloy material has excellent high-temperature tensile properties, which are higher than 300MPa and up to 500MPa, which is comparable to the existing AlCoCrFeNi 2.1 Compared with the alloy, the tensile strength at 900℃ is increased by 1 times. At the same time, the preparation process is simple and efficient.

A material analysis method, system, computer-readable storage medium and application based on a crystal structure database. The above-mentioned material analysis method includes comparing the experimental spectrum information detected by the sample to be tested with the theoretical spectrum information calculated from the material structure data in the crystal structure database, and obtaining the crystallographic information and phase composition of the sample to be tested through intelligent analysis; the crystallographic information includes space group, unit cell parameters, and specific coordinates of atoms in the unit cell; the crystal structure database has material structure data obtained by experimental measurement and / or theoretical prediction, including chemical formula, space group, unit cell parameters, and specific coordinates of atoms in the unit cell. The above-mentioned method adopts a new paradigm for material gene big data research and realizes automated crystallographic information and phase composition analysis through the crystal structure database. It is a new material analysis method; based on this method, large-scale, high-throughput and high-precision material analysis can be achieved, laying the foundation for building a material science spectrum data mining and analysis platform.

The invention discloses a method for predicting the low-temperature reduction degradation performance of sintered ore based on ore phase analysis, and belongs to the technical field of sintered ore production. The method comprises the following steps of: acquiring ore phase composition proportions of magnetite, primary hematite, secondary hematite, calcium ferrite, dicalcium silicate, glass phase and the like of corresponding analysis samples and porosity data of the corresponding samples through an automatic optical image analysis system by utilizing gray-based multi-threshold mineral identification and mineral morphology identification; meanwhile, the RDI + 3.15 index of the corresponding sintered ore is obtained, and the RDI + 3.15 index serves as a dependent variable to construct a prediction model. According to the method, the RDI + 3.15 index of the corresponding sintered ore can be obtained through automatic optical image analysis of the ore phase and the constructed prediction model, traditional sintered ore low-temperature reduction performance detection is replaced, and therefore the problems that analysis steps are tedious, the waiting period is long, and testing conditions are complex are solved.