19518 results about "Mineralogy" patented technology

The invention belongs to the technical field of enamel glaze preparation, and particularly relates to a high-temperature-resistant compact enamel glaze preparation method, which comprises: 1, enamel frit preparation: mixing 45-65% by mass of silicon dioxide, 10-15% by mass of anhydrous borax, 5-10% by mass of sodium carbonate, 2-6% by mass of lithium carbonate, 2-6% by mass of calcium carbonate, 2-6% by mass of strontium carbonate, and 3-6% by mass of ice crystal to form a batch, melting at 1300 DEG C for 2-3 hours, carrying out water quenching to prepare an enamel material, drying, and sieving with a 200-mesh sieve to obtain enamel frit powder; step 2, preparing enamel glaze slip, namely mixing and ball-milling 40-55% of enamel frit powder, 15-30% of 316 # stainless steel powder, 5.5-10% of clay suspending agent and 25-50% of water in percentage by mass to obtain the enamel glaze slip; and step 3, enamel coating and firing. The enamel coating has excellent high temperature resistance and corrosion resistance and long service life, and the preparation process is simple in requirement, simple and convenient to operate and suitable for industrial production.

A detection method for infrared thermal image damage area of coal rock includes: step 1: collecting and recording the infrared thermal image of coal rock in the process of loading destruction; step 2: processing a gray-scale transformation on the collected infrared thermal image of coal rock; step 3: denoising an infrared thermal image of coal rock after the gray-scale transformation by the dense residual image denoising algorithm of autocorrelation network; step 4: conducting an area segmentation on the infrared thermal image of coal rock after denoising to extract eigenvalues by using a coal-rock infrared thermal image damage area segmentation algorithm of improved encoder-decoder network; step 5: observing the damage area of coal rock. The detection method improves the denoising effect of the infrared thermal image of coal rock, strengthens the extraction of the characteristics of the damage area, and improves the accuracy of the segmentation.

The invention discloses an automatic fine ore sorting method and system based on XRT (X ray tomography) and hyperspectrum, which are used for realizing comprehensive fusion of ore surface and internal information by combining X-ray tomography and hyperspectral imaging technologies so as to improve the recognition precision and the sorting efficiency. XRT is used for extracting the internal structure and density characteristics of the ore, hyperspectral imaging is used for identifying the mineral composition characteristics of the ore surface, and information complementation is achieved. The system adopts a multi-modal convolutional neural network to perform independent feature extraction on XRT and hyperspectral data, and the extracted features are fused through a deep residual network. And the fused features are processed by a cross-modal attention mechanism to ensure that key features of different modals are fully integrated and optimized, and finally high-precision ore classification and sorting are realized. According to the method, the limitation of a single data source on feature extraction is overcome, the ore recognition and sorting precision is greatly improved, and the refined and intelligent development of ore sorting is promoted.

A component includes a body having a coupon opening defined therein, and an additively manufactured (AM) metal coupon including a dense region, a porous region adjacent the dense region, and a coupon outer surface. The porous region has a first cross-sectional area at a first location at or near the coupon outer surface and a second cross-sectional area less than the first cross-sectional area at a second location distal from the coupon outer surface. A braze material couples the metal coupon in the coupon opening and infiltrates into the porous region, e.g., based at least on a characteristic of the porosity thereof. The dense region may have a third cross-sectional area at the first location and a fourth cross-sectional area greater than the third cross-sectional area at the second location so it can direct the braze material in the porous region toward an inner surface of the coupon opening.

The present invention relates to the technical field of oil and gas exploration and development. Provided are a digital core-based shale pore type recognition method and a quantitative characterization method. The digital core-based shale pore type recognition method comprises: on the basis of a gray image of a shale sample to be recognized, recognizing an organic matter and a transition zone to obtain an organic matter recognition result; and on the basis of the organic matter recognition result and the gray image, obtaining an organic pore image and an inorganic pore image as a shale pore type recognition result. The present invention can be used to quantitatively recognize organic pores, inorganic pores and micro-cracks of shale, quantitatively characterize shale pore structures, and analyze structural parameters of the organic pores, the inorganic pores and the micro-cracks, so as to perform statistical analysis of distribution of different types of reservoir spaces of shale, thereby being of great significance for shale reservoir quality evaluation and effective shale oil and gas development method optimization.

A component includes a dense base region, a dense replacement region and an additively manufactured (AM) porous region between the dense base region and the dense replacement region. The porous region has a porosity between 2% to 50% open space volume to total volume of the AM porous region. The porous region can be printed onto the base region or the replacement region. A braze material couples the base region, the porous region and the replacement region together, and infiltrates into the porous region based at least on a characteristic of the porosity. The porous region reduces stress at a joint between the dense regions and can be customized to create different physical characteristic(s) than just those of the base and replacement regions.

A metal coupon for repairing a component includes an additively manufactured (AM) metal member having a low porosity region in an interior of the AM metal member, and a porous region around the low porosity region. The low porosity region may have a porosity in a range of 0% to 5%, so is solid or nearly solid. The porous metal coupon with low porosity region allows braze material to be directed based on characteristics of the porous region.

The invention discloses a multi-factor prospecting prediction method suitable for tin polymetallic ore, and relates to the technical field of geological science. The prospecting prediction method comprises the following steps: collecting data; fusing multi-source data; extracting and analyzing mineralization information; constructing a comprehensive prediction model; and predicting mineralization. According to the method, a potential tin polymetallic ore deposit area is preliminarily selected by comprehensively considering multi-source information such as geology, geophysics, geochemistry and remote sensing, drilling data and profile data are collected in the area, the drilling data and the profile data are utilized to construct a comprehensive prediction model, and the model is combined with advanced algorithms such as geostatistics and machine learning, so that the prediction accuracy of the tin polymetallic ore deposit area is improved. The multi-source data is efficiently integrated, and a three-dimensional visualization result is provided, so that the position and the scale of a potential ore body can be more accurately predicted, and the success rate of prospecting is improved.

A preparation method and application of a red mud-enhanced magnetic straw biochar material includes the following steps of: naturally air-drying or artificial drying straws, and crushing the dried straws; drying red mud from Bayer process, and crushing the red mud into powder; then mixing the crushed straws and the powdery red mud by ball milling to prepare straw-red mud mixed powder; mixing water and biomass ash rich in alkali, and extracting the mixture to obtain a biomass ash extracting solution and dealkalized biomass ash solid residues; and uniformly mixing and stirring the straw-red mud mixed powder and the biomass ash extracting solution to obtain a pasty mixture, carrying out co-pyrolysis on the pasty mixture under a protective atmosphere, and washing magnetic straw biochar produced by co-pyrolysis with water until the magnetic straw biochar is neutral to obtain the red mud enhanced magnetic straw biochar material.

The invention relates to a metal sample block with a porous area for a component and the component with the metal sample block. A component (202) includes a body (206) and an additive manufactured (AM) metal sample block (200) that includes at least one first porous region (300A) having a first porosity and can include any number of second porous regions (300B) having a second porosity different from the first porosity. A braze material (310) couples the metallic sample block (200) in a sample block opening (204) in the body (206). The braze material (310) is infiltrated into at least one of the first porous region (300A) and any second porous region (300B) based at least on a characteristic of the first porosity and at least on a characteristic of the second porosity. Different porosities can be tailored to provide different physical characteristics for the first porous region (300A) and the second porous region (300B) having the braze material (310) therein.

The invention belongs to the technical field of geological information processing, and discloses a geological mineral exploration data extraction system which comprises the following steps: constructing an air-ground-hole three-in-one acquisition network, and respectively acquiring earth surface mineral spectrum data, seismic longitudinal wave and transverse wave reflection data and rock core main quantity and trace element composition data; processing the collected data to form a five-dimensional data cube containing space coordinates, spectrum parameters, physical property parameters, element parameters and time indexes, performing physical layer attribute extraction on the five-dimensional data cube, performing analysis to obtain a wave impedance value and a lithology category probability array, performing semantic layer attribute extraction on the five-dimensional data cube, and performing semantic layer attribute extraction on the five-dimensional data cube; an alteration type probability array is obtained through analysis, an alteration zoning graph layer is generated, the mineralization potential index and a five-dimensional data cube are fused, a four-dimensional dynamic database is constructed, a mineralization potential prediction graph layer and a drilling priority graph are generated based on the four-dimensional dynamic database, and therefore the decision-making level of ore body drilling deployment is improved.

The invention relates to the technical field of fluorescence sensing development, in particular to a Cd (II)-based metal organic framework crystalline material as well as a preparation method and application thereof. The chemical formula of the Cd (II)-based metal organic framework crystalline material is {[Cd3 (H2O) 2 (DMA) 2 (5-CMOIA) 2]. 6 / 5H2O} n, the organic framework material is characterized by an X-ray single crystal diffractometer, and the result shows that the organic framework material is crystallized in a triclinic system P-1 space group, the asymmetric unit of the organic framework material is composed of three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions and three The complex is composed of two deprotonated (5-CMOIA) 3-ligands, two coordinated DMA solvent molecules, two coordinated water molecules and six fifths of crystal water molecules. The solid fluorescence spectrum of the Cd (II)-based metal organic framework crystalline material is measured, the fluorescence response of the Cd (II)-based metal organic framework crystalline material to metal ions in a solution is explored, and the result shows that the Cd (II)-based metal organic framework crystalline material can effectively recognize Hg < 2 + > from different ions and can be applied to the field of fluorescence sensing.

The invention discloses a method for activating and precipitating MHP through magnesium, and belongs to the technical field of hydrometallurgy. The method comprises the following steps: S1, mixing a magnesium-containing solution with a sodium hydroxide solution, and carrying out precipitation reaction for 3-5 minutes to obtain a precipitator; s2, immediately mixing a precipitator with the laterite-nickel ore iron and aluminum removed liquid, and then carrying out first-stage nickel and cobalt precipitation reaction to obtain first-stage nickel and cobalt precipitation slurry; s3, performing first thickening treatment on the first-section nickel and cobalt deposited slurry to obtain first dense underflow and first dense overflow; and S4, filtering the first dense underflow to obtain an MHP product. According to the method, after the magnesium-containing solution and the sodium hydroxide solution are mixed, the magnesium solution and the sodium hydroxide solution are controlled to be mixed and react for 3-5 min, then the nickel and cobalt precipitation reaction is immediately carried out, the MHP product with high purity and quality can be obtained, and the whole method is simple and convenient for large-scale industrial application.

The present invention belongs to the technical field of glass preparation, and specifically relates to an ultra-white glass and a preparation method thereof. The ultra-white glass of the present invention is composed of the following raw materials by weight: 110 parts of quartz sand, 18-20 parts of sodium carbonate, 14-16 parts of colemanite, 4.5-5.5 parts of magnesia, 2.6-2.8 parts of calcined alumina, 1.1-1.3 parts of potassium oxide, 0.8-1.0 parts of zinc oxide, 1.5-1.7 parts of phosphorus pentoxide, 0.15-0.20 parts of strontium chloride, 0.3-0.34 parts of calcium fluoride, 0.25-0.27 parts of barium nitrate, and 0.16-0.18 parts of zirconium oxide. The ultra-white glass of the present invention has a synergistic effect between the raw materials to ensure that the prepared ultra-white glass has excellent whiteness and visible light transmittance.

The invention discloses a normal-temperature rapid early-strength high-performance asphalt cold-patch material and a preparation method thereof, and the asphalt cold-patch material comprises the following substances in percentage by mass: 80-86 wt% of aggregate, 7.5-11 wt% of mineral powder, 0.5-1 wt% of cement, 0.5-1 wt% of slaked lime, 0.2-0.4 wt% of bentonite, 0.2-0.4 wt% of lignin fiber and 5-7 wt% of asphalt cold-patch liquid, d40 dearomatization solvent naphtha or a mixture of D40 dearomatization solvent naphtha and D60 dearomatization solvent naphtha is used as a diluent in the asphalt cold supplementing liquid. The method comprises the following steps: preparing asphalt cold supplementing liquid; drying the aggregate, the mineral powder, the cement, the slaked lime and the bentonite; putting the aggregate, the cement, the slaked lime, the bentonite and the lignin fiber into a mixing pot and stirring; adding the asphalt cold supplementing liquid into the mixing pot and stirring; and adding the mineral powder into the mixing pot, and stirring to obtain the rapid early-strength high-performance asphalt cold patch material at normal temperature. The asphalt cold-patch material disclosed by the invention can quickly form strength within an extremely short time, ensures quick passage after pit slot repair, and maximally reduces the influence of traffic transportation.

The invention provides an ore pulp liquid level prediction method and system based on flotation froth dynamic characteristics and a storage medium, and relates to the technical field of flotation process production detection.The method comprises the steps that under the working condition of a flotation machine, flotation froth images and ore pulp liquid levels are continuously collected; performing texture feature extraction on each flotation froth image to obtain texture features, and generating a texture distribution coefficient from the texture features associated with the ore pulp liquid level; using a Sobel operator to identify the marginal area of each flotation froth in the flotation froth image, and carrying out comprehensive analysis to generate a froth distribution index; analyzing two frames of adjacent flotation froth images to generate a flotation froth dynamic deviation degree; and constructing an ore pulp liquid level prediction model, and predicting the ore pulp liquid level by using the ore pulp liquid level prediction model. The technical problem that the ore pulp liquid level cannot be monitored in real time in the prior art is solved.

The invention discloses a yellow phosphorus tailing-based mine filling material and application thereof. The yellow phosphorus tailing-based mine filling material comprises aggregate and a cementing material, the cementing material comprises the following components in parts by mass: 5-20 parts of red mud, 20-40 parts of yellow phosphorus slag, 10-30 parts of slag, 5-10 parts of fly ash, 5-10 parts of a compound exciting agent, 1-3 parts of an early strength agent and 2-5 parts of a water-retaining agent; wherein the compound exciting agent comprises the following components in parts by mass: 10-20 parts of sodium metasilicate, 30-40 parts of gypsum powder, 20-30 parts of sodium sulfate, 5-10 parts of carbide slag and 5-10 parts of silica fume; according to the invention, the raw materials are compounded and the specific exciting agent is subjected to depolymerization-polycondensation reaction to obtain a cementing material containing Aft (ettringite), C-S-H gel (hydrated calcium silicate gel) and C-A-S-H gel (hydrated calcium aluminosilicate gel), and finally, the mine filling material with high fluidity, low bleeding rate and high strength is obtained while yellow phosphorus tailing solid waste is treated.

The invention relates to a lacustrine facies shale conductive model considering organic matter influence and a saturability evaluation method, and belongs to the technical field of unconventional oil and gas reservoir oiliness evaluation, and the method comprises the following steps: 1) representing fluid information in a shale sample based on a pressure-maintaining closed sample and a two-dimensional nuclear magnetic resonance technology; 2) according to the organic carbon content and the clay content of the shale, dividing the lithology type of the lacustrine facies shale, and analyzing the relation between different lithology resistivity values and the porosity of free water and bound water; 3) selecting a siltstone interlayer sample, and inversely calculating a cementation index and a saturation index of the inorganic pore conductive network; 4) establishing a lacustrine facies shale parallel conductive model, and calibrating rock-electricity parameters according to lithology; 5, a lithology discrimination chart, a TOC prediction model, a bound water content prediction model and an effective porosity calculation model are established, and the oil saturation is explained according to different lithologies in combination with the lacustrine facies shale parallel conduction model.According to the method, accurate shale reservoir fluid information is provided, and a brand new thought is provided for rock electrical parameter calibration.

A multispectral combined method for online detection of slurry components in a mineral processing process, relating to the technical field of spectrum detection. The multispectral combined method comprises: collecting slurry samples having a gradient distribution of moisture content to serve as test samples, and using an NIR system to acquire near-infrared spectrum data of the test samples; performing spectral preprocessing on the near-infrared spectrum data, so as to reduce the interference of spectral noise on subsequent modeling, and establishing an NIR regression model for slurry moisture content; using an LIBS system to acquire plasma spectrum data of the test samples, and establishing an LIBS regression model for slurry concentration; substituting the NIR regression model for slurry moisture content into the LIBS regression model for slurry concentration, and optimizing an algorithm to realize model correction and compensation; and establishing a quantitative analysis model for slurry element content to realize LIBS and NIR multispectral combination. The multispectral combined method can effectively improve the online detection precision of slurry components in a mineral processing process and improve the accuracy of a regression model.

The invention discloses a rock-soil core sample information logging system based on spectrum and image recognition, and the system comprises a spectrum imaging module which carries out the collection of spectrum data, and carries out the classification and recognition of a rock-soil layer; the image recognition module is used for acquiring an image and recognizing rock-soil layer characteristics in the image; the data processing module is used for receiving and processing the spectral data and the image data; the naming and determining module is used for determining the naming and description of the rock-soil core sample; the data logging module is used for integrating output results and generating a logging report and a database; and the database is used for storing and managing data and providing data and query functions for each module. According to the invention, the image features and spectral features of the rock-soil core sample can be rapidly acquired through the spectrum and image acquisition device, the image feature information of each layer of rock-soil can be automatically identified by using the image identification module, the name of each layer of rock-soil can be determined according to the image feature information of each layer of rock-soil, and accurate naming is carried out by combining the spectral feature information. And the efficiency and correctness are improved.

The invention discloses a supercritical carbon dioxide mineralization and storage method based on a paste filling technology. The supercritical carbon dioxide mineralization and storage method comprises the following steps: S1, preparing a paste filling material; s2, preparing supercritical carbon dioxide; s3, mineralization and storage: in order to realize large-scale mineralization and storage of CO2 in the mine, the mineralization and storage step comprises a mineralization filling slurry preparation process and a carbon injection mineralization process; according to the supercritical carbon dioxide mineralization and storage method based on the paste filling technology, the paste filling technology and supercritical carbon dioxide mineralization and storage are combined, mine solid waste with a large number of calcium and magnesium resources and supercritical carbon dioxide are fully mineralized, mineralization filling slurry is prepared and filled into an underground goaf, and the mining goaf is filled with the mineralization filling slurry. The mechanical property and the pore structure of the filling body are improved, the concept of treating waste with waste in a mine is met, and green mining of the metal mine is achieved.

The invention discloses a filling disaster prevention and control green mining method for a nearly-upright extra-thick coal seam, and relates to the technical field of coal mining. The method includes the following steps that the nearly-vertical super-thick coal seam is divided into different sections according to the thickness of 20-40 m; all the sections are mined through a fully mechanized caving mining method, after the coal face is advanced by 8-10 m, namely a mining and filling step pitch, slurry blocking cloth is arranged on a top coal caving filling mining hydraulic support, and a separation net is laid in a goaf; grouting and filling are conducted on the goaf through the high-position process roadway; the nearly vertical coal seam is divided into a plurality of horizontal sections, the descending mining sequence is adopted, goaf timely filling is matched, rock stratum movement can be precisely and cooperatively controlled, steeply inclined rock stratum displacement and deformation caused by coal seam mining are effectively reduced, surrounding rock stress is remarkably weakened, earth surface deformation is controlled, and compared with a traditional mining mode, the mining efficiency is improved. And the risk of coal rock dynamic disasters is greatly reduced.

The invention relates to the technical field of concrete preparation, in particular to high-performance self-compacting concrete and a preparation method thereof, solves the defects in the prior art, and comprises the following components: cement, fly ash, slag powder, graphene oxide, nano-silica aerogel, a water reducer and an air entraining agent. Through silanization modification and magnetic field induction, the problem of interface incompatibility of GO and SA is solved. Graded mass transfer paths are formed between nano layers of GO and mesopores and macropores of SA. And the CaCO3 seed crystal in the SA hole directionally guides the oriented growth of the C-S-H gel, so that the early strength development rate is increased.

A polishing filter apparatus employed within a sump pump system for removing mineral oils, natural ester, and synthetic ester-based fluids from an emulsion is provided. The polishing filter apparatus is connected to a sump pump barrier via a polishing filter inlet conduit. Further conduit structures are disposed within the polishing filter apparatus, which lead into a polishing filter cartridge. The polishing filter removes excess synthetic ester-based fluids from a water / oil emulsion fluid flowing therethrough and releases a resultant filtered fluid. The polishing filter cartridge contains a filtration media with a hydrophilic composition for the capture of synthetic ester-based fluid having a surface tension dissimilar to water, and the hydrophilic composition of the media has a surface energy greater than or equal to 35 dynes per centimeter.

The invention relates to the technical field of filling materials, and particularly discloses an ardealite-based high-strength anti-seepage filling material and a preparation process thereof, the ardealite-based high-strength anti-seepage filling material comprises 50%-65% of pretreated ardealite, 15%-25% of Portland cement, 5%-15% of superfine slag powder, 5%-10% of electrolytic manganese residues, 5%-8% of silica fume, 3%-6% of metakaolin, 2%-4% of a composite alkali activator and 0.5%-1.2% of a polycarboxylic acid water reducer, 0.3%-0.8% of an organic silicon water repellent and 0.05%-0.1% of cellulose ether; according to the invention, through chemical reaction of Mn < 2 + > in the electrolytic manganese residue and SO4 < 2-> in the phosphogypsum, micron-sized manganite crystals (MnAl2 (SO4) 4. 22H2O) are generated to actively fill internal micro-cracks of the material, so that a filling body is endowed with a self-repairing function and the impermeability is improved, and a composite alkali activator composed of NaOH and water glass is used for synergistically activating potential gelling activity of the superfine slag powder and the silica fume, so that the self-repairing filling material is prepared. And the formation of hydration products is accelerated, and 0.3-0.5 T of pulsed magnetic field is applied in the stirring process, so that the manganite crystals are guided to orderly grow along the expected stress direction of the filling body, and the compressive strength is improved.

The invention discloses a method for preparing asphalt-based porous carbon based on an MgO template, and belongs to the technical field of porous carbon, nano MgO and deionized water are mixed and placed in a synthesis kettle, hydrothermal synthesis is performed at 180 DEG C for 2 h, suction filtration and drying are performed, a dried filter cake is crushed and calcined, and porous flaky MgO is obtained; adding the asphalt solution into the MgO suspension, stirring, drying to obtain brown powder, transferring the brown powder into a corundum crucible, putting the corundum crucible into a tubular furnace, calcining to obtain a carbonized C / MgO composite material, and washing the carbonized C / MgO composite material with a diluted hydrochloric acid solution and deionized water to obtain a carbon material sample recorded as AC-75. Pouring the porous carbon material PCs and KOH into a mortar, fully grinding, mixing and calcining to obtain an activated product, pickling and washing the product to be neutral, and drying to obtain the porous carbon material PCs. The raw materials selected by the method are asphalt and flake magnesium oxide which are stable in performance, low in price, large in amount and easy to obtain, a magnesium source can be recycled, environmental protection is achieved, and resources are saved.

The invention discloses a rock debris lithology analysis method based on a multilevel fusion image algorithm and X-ray diffraction. The method comprises the following steps: S1, acquiring rock debris image data under different resolutions; s2, generating a multi-level rock debris image feature matrix; s3, preliminarily generating a lithology classification result; s4, generating supplementary data of X-ray diffraction analysis; s5, fusing the supplementary data of the lithology analysis and the preliminarily generated lithology classification result, and finally generating a comprehensive lithology classification result; s6, the comprehensive lithology classification result is input into a dynamic adaptive analysis system, the dynamic adaptive analysis system adaptively adjusts an analysis strategy according to the rock debris sample complexity, and parameters of a dual-path convolutional neural network model and a multi-modal analysis algorithm are optimized through a real-time feedback and learning mechanism; and S7, outputting an analysis report containing mineral distribution, crystal structure and comprehensive lithology classification results. The classification accuracy of different types of rock debris samples is improved by about 15%.

The invention relates to the technical field of cement-based soil curing agents, and particularly discloses a roadbed soil cement cementing material curing agent and a use method thereof. The curing agent comprises Portland cement, coal gangue particles, fly ash, silica fume, an anti-permeability reinforcing agent, a water reducing agent and fibers. The anti-permeability reinforcing agent is prepared by the following steps: (1) dispersing polyaluminum sulfate powder into absolute ethyl alcohol, then adding a silane coupling agent and a water repellent agent, and heating and preserving heat under a stirring condition; and then separating out solids to obtain the modified polyaluminum sulfate. And (2) adding the modified polyaluminum sulfate into water, heating and preserving heat under a stirring condition, drying by distillation to remove water, and grinding the obtained solid product. The curing agent provided by the invention not only reduces the adverse effect of acid soil on the stability of a formed soil consolidated body, but also improves the impermeability and the durability of the soil consolidated body.

The invention discloses a rapid method for determining the grade of target elements in concentrate based on mineral dissociation degree, and the grade of the target elements in the concentrate under a certain fineness condition is calculated according to the dissociation degree of target minerals in a raw ore sample under the certain fineness condition and the content of the target elements in the target minerals in the raw ore sample. By means of the method, the grade of the target element in the concentrate under the specified fineness condition can be calculated more quickly and more effectively, the beneficiation effect under the fineness condition can be predicted in advance when beneficiation operation is not conducted, and powerful data support is provided for formulation of the beneficiation technological process.

The invention belongs to the technical field of roadbed engineering, and particularly relates to a construction uniformity evaluation method for a clay improved copper tailing roadbed. The method comprises the following specific steps: S1, determining the proportion of the clay improved copper tailing roadbed filler; s2, applying the blended clay improved copper tailings to roadbed construction; and S3, carrying out construction detection on the clay-improved copper tailing roadbed, calculating a mixing uniformity coefficient, and comparing the mixing uniformity coefficient with a uniformity coefficient in a laboratory to evaluate the construction uniformity of the clay-improved copper tailing roadbed. According to the method, after roadbed construction is completed, a working project of measuring the compactness through a field sand filling method is combined, the mixing uniformity coefficient is calculated with the deviation between the composition proportion of roadbed filler sampled through the sand filling method and a proportion design result as a parameter, and the construction quality can be effectively evaluated conveniently.