130 results about "Pore distribution" patented technology

The invention provides a rock porosity adaptive modeling and blasting crack expansion calculation method based on key-type near-field dynamics, and the method comprises the steps: constructing a unified near-field dynamics model containing pore adaptive generation and blasting dynamic response; dynamic simulation of the rock blasting process is realized through pore distribution control, blasting load time history application and crack evolution judgment, and crack initiation, expansion and penetration rules can be accurately reproduced while the calculation stability is ensured. By introducing a pore adaptive discrete algorithm, the construction of rock models under different porosity conditions is automatically realized, and the initiation, expansion and penetration processes of cracks in the rock mass are accurately predicted in combination with near-field dynamics mechanical calculation under the action of an explosion load. According to the method, the heterogeneous characteristic of the rock and the discontinuous effect of the blasting load can be considered at the same time under a unified dynamic framework.

The invention relates to the crossing field of mechanical engineering and intelligent manufacturing, and discloses a real-time monitoring, regulating and controlling method for the manufacturing process of an automobile lightweight component. According to the method, a distributed fiber bragg grating sensing array is embedded in a mold, and a three-dimensional strain field at the flowing front edge of resin is obtained in real time; a multi-scale pore generation kinetic model is combined to perform online inversion on an unwetted area and pore distribution; and the pressure gradient and the mold temperature field of the hot press are adaptively regulated and controlled, and the flow path is dynamically corrected. The system comprises a sensing embedding module, a strain demodulation module, a pore inversion module, a regulation and control instruction generation module and a multi-zone execution module. According to the method, closed-loop precise control over the porosity being lower than 0.5% is achieved, and the consistency and reliability of the mechanical property of the component are remarkably improved.

The invention discloses a fluidized bed reactor for preparing porous carbon through collaborative graded activation of water vapor and CO2 and a method for preparing the porous carbon through collaborative graded activation of the water vapor and the CO2, and belongs to the technical field of material chemical engineering. The fluidized bed reactor is composed of a shell, a fluidization section, a sedimentation section, a porous distribution plate, a gas distribution chamber, a stirring device and a temperature control system, and uniform fluidization and multi-section temperature control of superfine powder are achieved. According to the activation method, steam and CO2 collaborative graded etching pore-forming is adopted, specifically, in the first stage, quick pore-forming is conducted mainly through steam at the temperature of 500-800 DEG C, in the second stage, pore-expanding is conducted cooperatively through steam and CO at the temperature of 700-900 DEG C, and in the third stage, fine control is conducted mainly through CO2 at the temperature of 850-1050 DEG C; the continuous preparation of the high-performance porous carbon with the specific surface area of 1500-2500m < 2 > / g, the pore volume of more than or equal to 0.8 cm < 3 > / g and the 2-10nm mesopores accounting for 20-60% is realized by adjusting the gas velocity, the activation temperature, the activation time and the ratio of water vapor to CO2, the bottlenecks of low specific surface area, single pore diameter, large batch difference and the like of physical activation are solved, and the method is suitable for green and low-cost production of high-end energy storage carbon materials such as supercapacitors, lithium / sodium ion batteries and the like.

The invention discloses a preparation method of a porous copper foil based on a hydrogel template and the porous copper fores.The method comprises the steps that firstly, a hydrogel solution is applied to the surface of a cathode roller in a spraying mode, and a hydrogel shielding point array is formed by means of the self-polymerization characteristic of the hydrogel solution; secondly, performing electrolysis operation by taking a cathode roller area outside the shielding point as a deposition site to prepare a composite copper foil mingled with the hydrogel shielding point; and then, stripping the composite copper foil from the cathode roller, placing the composite copper foil in an alkaline solution for ultrasonic treatment for 0.5-5 minutes, so that the hydrogel shielding point is swelled and then falls off through ultrasonic oscillation, and a pure porous copper foil is obtained. And finally, performing surface treatment on the porous copper foil by adopting a passivation solution to improve the stability of the porous copper foil. According to the method, accurate regulation and control of the porous structure are achieved through the hydrogel template, the preparation process is green and efficient, and the obtained porous copper foil is uniform in pore distribution, large in specific surface area and good in mechanical property.

The present invention relates to an X molecular sieve-based adsorbent. The adsorbent comprises at least 92 wt% of an X molecular sieve, and has a micropore volume of 0.18-0.30 mL / g and a mesopore volume of 0.01-0.1 mL / g. A pore size distribution curve of the adsorbent shows at least two mesopore distribution peaks, wherein the most probable pore size corresponding to one mesopore distribution peak ranges from 3.0 to 9.0 nm, and the most probable pore size corresponding to the other mesopore distribution peak ranges from 10.0 to 19.0 nm. The present invention further relates to a preparation method for the adsorbent, a use of the adsorbent, and a device comprising the adsorbent.

The invention discloses a microcosmic multi-modal characteristic analysis and visualization method for a cement-based cementing material. The method comprises the following steps: S1, obtaining a back scattering image, a qualitative element surface spectrum and a quantitative element surface spectrum of a cement-based cementing material sample; s2, extracting a pore structure of the back scattering image, and generating a pore distribution diagram; s3, forming a superpixel-level element feature matrix; s4, constructing an Andata data object, and performing dimension reduction clustering to integrate multi-source heterogeneous data; and S5, based on the constructed Andata data object, realizing visual analysis of multiple types of images. The method is high in universality, is not only suitable for ordinary Portland cement systems, but also can be widely applied to multi-phase identification and quantitative analysis of various complex cement-based composite materials, and provides a powerful micro-analysis tool for researching the relationship between material composition, structure and performance.

A preparation method of a specific pore size aluminum foam, comprising foaming, the foaming is adding a composite foaming agent and stearic acid in the tackified molten aluminum, and carrying out heat preservation foaming after stirring and dispersing, the composite foaming agent is titanium hydride as the main body, zirconium hydride and calcite as the adjuvant, and the mass ratio of titanium hydride, zirconium hydride and calcite is 5:1~2:0.5~0.8.In the application, TiH2, ZrH2 and calcite are used as the foaming agent, and the calcite is used in combination with stearic acid, so that the pore size structure and the uniformity of the pore distribution in the aluminum foam are controlled, the pore size is mainly distributed between 1~2mm, the pore size variation coefficient is 0.49, the porosity of the aluminum foam reaches 88.4%, the density retention rate of the material is between 108.2~120.4%, the structural stability is excellent, and the aluminum foam has obvious advantages as a heat and sound insulation material.The preparation process can be popularized to the preparation of aluminum-scandium alloy foam, so that the Sc distribution is promoted to be uniform, and the yield platform stress and the energy absorption efficiency are significantly higher than those of the pure aluminum foam.

The embodiment of the present application relates to a kind of copper intermetallic compound porous materials and its preparation method and application, wherein, preparation method includes: metal Mg, Zn, Cu, M is mixed, is handled by induction smelting, and MgZnCuM alloy ingot is obtained;MgZnCuM alloy ingot is treated by spinning, and MgZnCuM precursor is obtained;MgZnCuM precursor is placed in gas phase de-alloying system and is treated by first vacuum heat treatment, and copper intermetallic compound porous material MgCuM is obtained;MgCuM has double continuous structure.The preparation method is simple and easy to operate, pore size is adjustable, and pore distribution is uniform, and the preparation process is environment-friendly and pollution-free.

A method of forming a porous carbon includes pyrolyzing a functionalized polyphenylene ether to provide a porous carbon material. The porous carbon material has a specific pore distribution. A porous carbon material prepared according to the method and uses thereof are also disclosed.

The invention relates to the technical field of oil and gas reservoir damage evaluation, in particular to a method and device for calculating irreducible water saturation of a tight sandstone reservoir, electronic equipment, a storable medium and a computer program product. The method comprises the following steps: acquiring a pore distribution curve of a compact sandstone sample; based on the pore distribution curve of the compact sandstone sample, determining the capillary bound water content of different pressure differences of the compact sandstone reservoir; carrying out total rock and clay mineral analysis on the compact sandstone sample to obtain the content of the clay bound water in the compact sandstone reservoir; and obtaining the irreducible water saturation of the tight sandstone reservoir based on the capillary irreducible water content and the clay irreducible water content. According to the method, the relationship between the absolute content, the pore distribution, the stress distribution and the interfacial tension of the clay mineral and the irreducible water saturation is established, so that qualitative and quantitative analysis on the irreducible water saturation is quickly and accurately performed.

Provided is a slurry containing abrasive grains and water, wherein the abrasive grains contain cerium oxide particles, the ratio of the BET diameter to the crystallite diameter in the (111) plane of the cerium oxide particles is 1.00 or more, and the integrated value of the differential pore volume distribution in the pore diameter range of 10-180 nm, is 0.11-0.17 cm3 / g in the pore distribution curve of the cerium oxide particles. This polishing method comprises a step for polishing a member to be polished using the slurry. Also provided is a method for manufacturing a component including a step of obtaining a component using the member to be polished polished with the polishing method.

This invention relates to a closed-loop control method and system for improving the compaction density of LFP electrodes. The method involves real-time acquisition of images of the micro-particle packing of the coating slurry, synchronized with the rolling mill operation data; extraction of micro-pore distribution features from the images, establishing a mapping relationship between these features and the material's fractional-order constitutive parameters; combining real-time rolling pressure and roll gap data, obtaining the equivalent fractional-order derivative order and rheological viscosity of the electrode material through rapid inversion calculation; inputting the viscoelastic properties into a physically constrained recurrent neural network to predict the full-cycle thickness evolution curve of the electrode, including elastic rebound, creep, and relaxation processes, and calculating the predicted compaction density based on the steady-state value of the curve; constructing a planning model with the goal of minimizing the residual between the predicted density and the set target, and jointly optimizing the roll gap position compensation and hot roller heating power online to achieve closed-loop control of the compaction density.

This invention discloses a method for evaluating the performance impact of porosity in integrated circuit interconnect dielectric materials, comprising the following steps: S1: Testing the porosity, pore size, and pore distribution of the dielectric material in subsequent processes; S2: Establishing a molecular model of the dielectric material at the microscale and calculating the electrical, structural, mechanical, and thermal parameters related to porosity; S3: Performing finite element simulation calculations with coupled electro-thermal-solid multiphysics fields at the macroscale to simulate the electric field, temperature field, stress and deformation field, and the formation and evolution of macroscopic pores during the interconnect process in subsequent processes; S4: Analyzing the impact of porosity on electrical, structural, thermal, and mechanical properties and the manufacturing process based on the multi-scale simulation results. This invention establishes a quantitative relationship between dielectric material, porosity, process, and performance through multi-scale multiphysics field coupled simulation to evaluate the performance impact of porosity in integrated circuit interconnect dielectric materials and guide the design of dielectric materials and structures.

This invention relates to the field of high-purity aluminum and aluminum alloy production technology, and particularly to a porous alumina ceramic material, its preparation method, and its application. The material comprises a composite aggregate and an organic binder, wherein the mass ratio of the composite aggregate to the organic binder is 47:3. The composite aggregate comprises 9 wt%–17 wt% inorganic binder and 83 wt%–91 wt% aggregate particles. The inorganic binder comprises: 40 wt%–50 wt% B₂O₃, 20 wt%–29 wt% Al₂O₃, 10 wt%–15 wt% SiO₂, 9.4 wt%–14.4 wt% MgO, 0–0.5 wt% Na₂O, 0–0.5 wt% K₂O, and 0–10 wt% Re₂O₃, where Re is a rare earth element. This method uses corundum or α-Al₂O₃ as a framework and rare earth composite oxides as an inorganic binder. A high-temperature reaction forms sintering necks between the aggregate particles, resulting in a porous alumina ceramic with a bimodal pore distribution. Two different pore sizes are distributed in situ on the surface of the skeleton particles and the sintered neck, achieving a dual-capture filtration effect for aluminum molten inclusions. This solves the problem that filters with large pore sizes cannot simultaneously filter small-grain-sized impurities.

The invention provides a method for obtaining transparent soil pore distribution characteristics, and the method comprises the following steps: designing a transparent soil pore structure image obtaining visual test system, carrying out a visual experiment, and obtaining a transparent soil pore structure image; performing image processing on the acquired image, and extracting pore size distribution data; and based on Weibull distribution quantification, characterizing pore distribution characteristics, and drawing a pore size distribution curve. The test system comprises a main experimental device and image acquisition devices, the main experimental device is provided with a sample loading chamber, and the image acquisition devices comprise planar laser transmitters, CCD cameras and computers which are arranged on two sides of the sample loading chamber. According to the method, the in-situ, continuous and high-precision observation of the evolution process of the pore structure of the transparent soil is realized by adopting a planar laser-induced fluorescence imaging technology and combining image processing and Weibull distribution fitting, the pore distribution characteristics can be quantitatively analyzed, the evolution rule of the pore structure in the seepage erosion process can be disclosed, and an effective means is provided for observation and research of the pore structure of the soil body.

The invention relates to the field of insoles, and discloses a 3D printing insole with gradient pore distribution parameterization. The device comprises an instep supporting pad, the instep supporting pad is fixedly connected with an arch airbag corresponding to the upper surface of an arch, the instep supporting pad is fixedly connected with an air inlet corresponding to the upper surface of a heel, and the upper surface between the instep supporting pad and the air inlet is fixedly connected with a buffer pad. The air bag cushion sequentially comprises a front supporting cushion, a front connecting cushion, a rear connecting cushion and a connecting air cushion from the toe side to the sole side, the upper surface of the connecting air cushion is fixedly connected to the arch air bag, the front supporting cushion is solid, the upper portion of the inner space of the front connecting cushion is connected with a toe groove, a main vent hole and an auxiliary vent hole, and the lower portion is connected with a front guide-out hole. The connecting air cushion is connected with the arch air bag, the rear connecting pad and the front connecting pad, the upper portion of the rear connecting pad is connected with the air inlet and the buffer pad, when the human body moves, the front end sole is supported, the rear portion is tilted, the corresponding toe groove, the front supporting pad and the bottom supporting pad are integrally supported, and the arch air bag rebounds to enable the internal space to inhale air.

The invention relates to a method, a device and equipment for determining the electrical tortuosity of a reservoir core and a storage medium, and belongs to the technical field of resistivity or conductivity measurement. Based on the microstructure image and fractal theory modeling, pore structure parameters are generated; constructing a digital core model based on the pore structure parameters, and generating pore distribution of the digital core model through a three-dimensional reconstruction technology; finite element electrical conduction simulation is executed based on the pore distribution of the digital core model to calculate electric field distribution and generate electrical parameters, and the electrical parameters are used for determining the electrical tortuosity; the finite element electrical conduction simulation refers to discretizing a continuous electric field into a finite element grid, and solving an electrostatic field equation to simulate current distribution; according to the method, high-precision digital characterization of the heterogeneity of the pore structure of the reservoir core is realized, and the electric tortuosity reflecting the conductivity of the pore structure is accurately calculated.

This invention relates to a method for highly selective adsorption of low partial pressure CO2 using an ultraporous azole ionic liquid material, belonging to the field of gas separation and purification technology. The ultraporous ionic liquid material is an ionic adsorbent with selective CO2 adsorption sites and an ultraporous pore distribution, formed by modifying the surface and pore structure of a porous support with multi-site azole ionic liquids. This method is simple to synthesize and easy to scale up. Furthermore, due to the strong chemical interaction between the electronegative sites on the ionic liquid anions and CO2, as well as the ultraporous effect, it synergistically enhances the efficient capture and separation of low partial pressure CO2. Simultaneously, CO2 can be completely desorbed by heating or depressurization. The regenerated ultraporous ionic liquid material is recyclable and exhibits stable performance. This method has advantages such as high capacity and selectivity for low partial pressure CO2, good stability, and recyclability, and has great potential for application in CO2 capture and purification separation.

The invention discloses a reef limestone quality intelligent grading method based on CT three-dimensional pore reconstruction and multi-modal feature fusion, and the method comprises the steps: obtaining the three-dimensional image data of reef limestone through CT scanning, and extracting the non-uniformity, directivity and overall porosity features of pore distribution through a convolutional neural network or clustering analysis; and in combination with mineral components, uniaxial compressive strength and physical parameters of rock mass, longitudinal wave velocity and springback value, a multi-dimensional feature vector is constructed. And then, a random forest algorithm is adopted as a machine learning model, the marked quality grading data set is trained and tested, and automatic and accurate reef limestone quality grading is realized. According to the method, CT data is crucial, high-resolution three-dimensional pore structure information is provided, the two-dimensional limitation of a traditional method is made up, and the grading reliability and applicability are improved. The method is suitable for the fields of geological engineering, mining and construction, and can significantly improve the evaluation efficiency of reef limestone resources.

The invention relates to a carbonatite gas reservoir sweet spot identification method and device, a storage medium and electronic equipment. The method comprises the following steps: determining reservoir lithology and a pore-permeability development zone of a target carbonatite gas reservoir; according to the lithology of the reservoir, obtaining dolomite content data meeting a lithology classification strategy, and according to the logging data of the porosity and permeability development zone and analysis and test data obtained by using a total rock mineral analysis method, constructing a porosity curve and a permeability curve of the target carbonate gas reservoir; obtaining ant body attribute data and root mean square attribute data of the target carbonate gas reservoir according to the seismic data; obtaining a dolomite distribution range by utilizing a phase model according to the dolomite content data and the root mean square attribute data, and obtaining a pore distribution range by utilizing a phase simulation model according to the porosity curve, the permeability curve and the ant body attribute data; and overlapping the dolomite distribution range and the pore permeability distribution range to obtain the dessert of the target carbonate gas reservoir. The recognition efficiency can be improved.

The present invention relates to conductive carbon black (CCB) materials having an optimized pore distribution, in particular an optimized micropore and mesopore distribution. This improves performance as a conductive agent or additive, for example in Li-ion battery applications. In addition, the present application relates to an improved Li-ion battery characterized by low direct contact resistance (DCR).

The present invention provides a method for manufacturing electrode plates for secondary batteries that can fully obtain the effects of dielectric materials, and also provides electrode plates. [Solution] In the first step of the electrode plate manufacturing method, based on the measurement results of the pore distribution in the electrode plate composite, volume peaks of different sizes of pores are determined, and the size range of the first dielectric 23 with large particle size is set from the size of the large pores in which the volume peak appears, and the size range of the second dielectric 24 with small pore size is set from the size of the small pores in which the volume peak appears. In the second step of the electrode plate manufacturing method, based on the evaluation results of a secondary battery having an electrode plate 8 containing the first dielectric 23 and the second dielectric 24 whose size ranges were set in the first step, the mixing ratio of the first dielectric 23 and the second dielectric 24, and the ratio of the dielectric 22 to the total weight of the electrode plate composite are set.

This application relates to the field of thermal interface materials technology and discloses a self-adhesive graphene thermal conductive pad and its preparation method. The self-adhesive graphene thermal conductive pad includes a thermally conductive layer and an adhesive layer. The thermally conductive layer includes multiple graphene films and multiple carbon fiber mesh layers spaced apart along the thickness direction. The adhesive layer is disposed on a first surface and a second surface opposite to the first surface of the thermally conductive layer. The adhesive layer has multiple pore structures for reducing thermal resistance, and the pore distribution density of the peripheral region and the central region of the adhesive layer is different. The peripheral region has a first porosity, and the central region has a second porosity. The first porosity is less than the second porosity. This application uses the carbon fiber mesh to naturally form vertical thermal conductive channels. Combined with the gradient porosity design of the adhesive layer, it not only ensures the adhesion reliability of the periphery of the pad but also reduces the thermal resistance of the central region, achieving an efficient balance between adhesion and thermal conductivity.

Provided are a CT detection atlas acquisition method for obtaining a plurality of sets of atlas cards for evaluating defects of a composite component, comprising the following steps: partitioning the composite component according to the thickness of the composite component to form a plurality of comparison regions; collecting a plurality of sets of three-dimensional pore map data of components of the same structure as the component to be detected, and converting the plurality of sets of three-dimensional pore maps into a plurality of sets of two-dimensional maps in different comparison regions; sorting and grading the two-dimensional maps according to the pore distribution density, and selecting one two-dimensional map in each pore distribution density grade and each comparison region as a comparison two-dimensional atlas card. Also provided is a CT detection defect comparison method, which can quantitatively judge the pore group density by directly comparing the defect data of the composite component with the comparison two-dimensional atlas card, thereby realizing accurate evaluation of the product.

This invention discloses a method for preparing an antioxidant coating with a gradient porosity distribution on the surface of molybdenum or molybdenum alloys. Using powder #1, a modified antioxidant inner layer coating is prepared on the surface of a molybdenum substrate via a molten salt method. The composition of powder #1 includes: 35wt%~94.7wt% NaCl-KCl-NaF powder, 0.1wt%~20wt% Na2SiF6 powder, 5wt%~20wt% Si powder, 0.1wt%~10wt% boron source powder, and 0.1wt%~15wt% HfB2 powder. Then, using powder #1... # A slurry was used to prepare an antioxidant outer coating, forming a gradient-pore-distributed antioxidant coating on the surface of a molybdenum substrate; 1 # The slurry comprises: 0.1wt%~40wt% Si powder, 0.1wt%~5wt% ZrB2 powder, 0.1wt%~30wt% Al powder, 0.1wt%~30wt% Al2O3 powder, 0.1wt%~2.5wt% activator, 0.1wt%~1wt% CeO2 powder, 0.1wt%~15wt% MnO2 powder, 8wt%-12wt% polyvinyl butyral powder, and the balance being anhydrous ethanol. This invention yields a gradient porosity coating, whose high-temperature oxidation resistance meets service requirements.

The embodiment of the application provides a loose accumulation body destruction process simulation method and system combined with multiple physical fields, relates to the technical field of geological engineering and rock and soil mechanics, and first captures the traces of stress transmission field, pore medium seepage field and heat exchange field on the loose accumulation body, obtains a multiple physical field dynamic trace set; reversely models the multiple physical field coupling relationship based on the multiple physical field dynamic trace set, and obtains a reverse coupling model; then, imports physical parameters such as particle composition, pore distribution and mechanical response of the accumulation body into the reverse coupling model to obtain coupling evolution data; then, constructs a destruction evolution layered path according to the coupling evolution data; and finally, generates destruction process simulation data containing multiple-dimensional evolution information based on the destruction evolution layered path. The application can accurately simulate the destruction process of the loose accumulation body.

The invention relates to the technical field of batteries, in particular to porous carbon. The invention provides porous carbon, the porous carbon comprises micropores, the percentage of the pore volume of the micropores in the total pore volume is greater than or equal to 85%, and in a pore distribution curve with the abscissa being the pore diameter and the ordinate being the differential pore volume dV / dW obtained by a nitrogen adsorption method test, the differential pore volume dV / dW of the porous carbon is greater than 0.05 cm < 3 >. G <-1 >. Nm <-1 > within the pore diameter range of 1-2nm. The porous carbon has proper microporosity and pore size distribution in Koelreuteria-shaped distribution, can effectively improve the silicon loading efficiency, reserves a part of space for volume enlargement caused by silicon expansion in the nanometer silicon circulation process, has the effect of relieving volume expansion when lithium is embedded into silicon, can reduce the volume expansion rate of the silicon-based negative electrode material, and improves the silicon-based negative electrode material performance. The cycling stability of the battery is improved.

The present invention provides a silicon dioxide particle and a method for producing the same. The silicon dioxide particle contains a nitrogen element-containing compound, and when the pore volume of pores having a pore diameter of 1 nm or more and 50 nm or less, which is obtained from a pore distribution curve of the silicon dioxide particle obtained by a nitrogen adsorption method before and after firing at 350°C, is respectively set as A and B, B / A is 1.2 or more and 5 or less, and B is 0.2 cm 3 / g or more and 3 cm 3 / g or less.

The application is based on a cement-based material original state pore measurement method based on low-field magnetic resonance longitudinal relaxation technology, which overcomes the technical bottlenecks of traditional magnetic resonance test methods in signal acquisition integrity, rapid relaxation signal capture and longitudinal surface relaxation strength determination by optimizing the acquisition and processing technology of longitudinal relaxation signals, and realizes the accurate detection of the pore structure of cement-based materials from the nanometer scale to the micron scale. Compared with the traditional transverse relaxation method, the method of the application is not disturbed by paramagnetic substances when testing ferrosilicate cement-based materials, and has higher applicability and accuracy. Overall, the application can non-destructively, accurately and accurately characterize the pore distribution characteristics of cement-based materials without drying pretreatment of the sample, providing a scientific basis for optimizing the performance of cement-based materials and improving the level of engineering quality control, and effectively promoting the further development of pore structure test technology in the fields of building engineering and material science.

The invention provides a method for preparing mesoporous carbon with a high specific surface area. The method comprises the following steps: (1) mixing, grinding and scattering silicon carbon ore, water and a grinding aid, and then performing nanocrystallization grinding in a bead mill until D90lt; the silicon carbon ore comprises micro-nano SiO2 and fixed carbon, the fixed carbon is porous, the specific surface area of the fixed carbon is 13-17 m < 2 > / g, the porosity of the fixed carbon is 30%-45%, the aperture of the fixed carbon is 15-25 nm, the pore volume of the fixed carbon is 0.10-0.18 cm / g, and the D90 of SiO2 is smaller than 5 microns; (2) extracting the nanoscale silicon carbon ore slurry by using an extracting agent; (3) purifying the primary carbon powder to obtain high-purity carbon powder; (4) performing first calcination on the high-purity carbon powder and a first activating agent to obtain first carbon powder; (5) carrying out second calcination on the first carbon powder and a second activating agent to obtain second carbon powder; and (6) purifying and drying the second carbon powder to obtain the mesoporous carbon. According to the invention, natural nano silicon carbon ore is used as a carbon source to prepare the active carbon material with high specific surface area and well-developed pore distribution.