186 results about "Pore distribution" patented technology

The invention provides coal-based porous carbon for preparing a silicon-carbon negative electrode material as well as a preparation method and application of the coal-based porous carbon, coal-based porous graphite is used as a matrix carbon material, polymer resin is used as a rigid bonding and coating material, heterogeneous elements such as B, N and P are used as doping materials, a carbon nanotube is used as a flexible conductive buffer material, and the materials are dispersed in a solvent to form slurry; through atomization granulation and high-temperature carbonization, heterogeneous element doped resin hard carbon is bridged with carbon nanotubes to construct a three-dimensional rigid-flexible conductive network to cooperatively coat the surface of the porous coal-based graphite, and doped heterogeneous elements are utilized to induce chemical-physical auxiliary activation to perform micro-mesoporous precise regulation and control pore forming on an inner core and a shell. The prepared novel coal-based porous carbon is high in porous framework particle strength and reasonable in pore distribution and has a three-dimensional rigid-flexible conductive network core-shell structure. The invention aims to solve the problems of unreasonable pore distribution of porous carbon, poor matrix strength and the like in the preparation process of a novel vapor deposition silicon-carbon negative electrode material.

The invention provides a refractory material quality detection method and system based on machine learning, and the method comprises the steps: collecting a multi-angle surface image set of a refractory material sample, covering images under different illumination conditions, so as to comprehensively capture material surface features; a pre-trained image feature analysis model is called to extract surface texture features, pore distribution features and microscopic crack features, and an image feature set is formed; performing joint classification processing on the image feature set based on a preset defect classification rule base, and identifying and quantifying defect types and distribution parameters thereof; generating a quality evaluation parameter according to the defect type set and the distribution parameter, comparing the quality evaluation parameter with a preset quality standard threshold value, and outputting a quality detection result; and a detection result is fed back to a production line control system, and sorting operation and process parameter adjustment are automatically triggered to realize intelligent monitoring and optimization of the production process, so that the accuracy and efficiency of quality detection of the refractory material are improved, and the improvement of the production quality is promoted.

The invention relates to the technical field of material analysis, and discloses an intelligent raw material composition screening method and system based on a sound insulation material, and the method comprises the steps: collecting acoustic characteristic test data, microstructure data and chemical composition data of a candidate sound insulation material; performing frequency response curve decomposition on the acoustic characteristic test data to obtain a characteristic frequency band sound absorption coefficient, and constructing an acoustic impedance tensor of the sound insulation material to analyze the sound wave dissipation performance of the candidate sound insulation material; calculating the pore distribution entropy and connectivity index of the candidate sound insulation material to analyze the sound wave propagation retardation efficiency of the candidate sound insulation material; analyzing the molecular chain flexibility and interfacial compatibility of the candidate sound insulation material to evaluate the acoustic performance stability of the candidate sound insulation material for multi-component compounding; and screening a target material from the candidate sound insulation materials by using sound wave dissipation performance, sound wave propagation retardation efficiency and acoustic performance stability. The performance matching degree of the raw materials screened out of the sound insulation material in actual composite use can be improved.

The invention discloses an underwater leveling machine path optimization method based on foundation bed pore characteristics, and relates to the technical field of ocean engineering. The method comprises the following steps: measuring three-dimensional topographic data and pore distribution characteristic data of a to-be-leveled water area foundation bed by using a multi-source sensing and control system and a multi-beam sounding method, establishing a digital topographic model of the to-be-leveled foundation bed, and generating candidate optimized leveling paths adapted to geological characteristics by constructing an initial construction path, the engineering feasibility of the leveling operation is evaluated, and the optimal position of each path point after iterative optimization is output as an optimized leveling path in combination with an optimization algorithm, so that the leveling of the underwater leveling machine is completed; according to the method, the pore distribution characteristics and three-dimensional topographic data of a seabed foundation bed are intelligently analyzed, reliable environment data are obtained, an initial construction blueprint is formed, a basis is provided for optimization, dynamic generation and online correction of a path are achieved by fusing pore characteristic analysis and an intelligent optimization algorithm, and efficient, uniform and high-precision autonomous leveling operation is achieved.

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 application relates to a customizable capillary wick structure, a preparation method and a design method in the technical field of wick structures of heat conduction plates. The capillary wick structure comprises one or more layer structures, when the layer structures are two or more, the two or more layer structures are arranged in a stack from top to bottom; each layer structure comprises a plurality of units arranged in an array; each unit comprises a plurality of support columns connected with each other, and a plating layer subjected to hydrophilic treatment is formed on the surface of the support column. The capillary wick structure has excellent liquid absorption performance, can improve the heat dissipation efficiency of the heat conduction plate, better meets the heat dissipation demand of electronic devices, the design method and the preparation method can optimize the structure parameters such as the size, thickness and pore distribution of the wick according to actual heat dissipation demand, realize customized design, effectively improve the liquid absorption performance of the wick, and provide a new scheme for customized design and preparation of the capillary wick of the heat conduction plate.

The invention relates to a shale full pore size distribution and connectivity quantitative characterization method. The method comprises the following steps: respectively determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum and a nuclear magnetic resonance T2 spectrum of a dry sample core and a saturated oil core, carrying out a high-pressure mercury injection test on a parallel sample of the core, completing benchmarking of T2 and pore throat radius, and determining core communication aperture distribution; (2) splitting the rock core into sheets along the lamella, determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum of the sheet-shaped dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the dry sample rock core, and calculating the distribution of the disconnected seams of the rock core; (3) grinding the rock core into 200-mesh particles, measuring the two-dimensional nuclear magnetic resonance T1-T2 spectrum of the granular dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the sheet-shaped dry sample rock core, and calculating the distribution of disconnected holes of the rock core; and (4) calculating shale full pore size distribution and connectivity. According to the method, nuclear magnetic resonance testing is carried out on shale in different states and forms, and quantitative characterization of shale full pore size distribution and connectivity of different storage spaces is achieved.

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 invention discloses a closing resistor disc porosity accurate detection and imaging method, device, equipment and medium based on an ultrasonic back scattering signal, and relates to the technical field of ultrasonic nondestructive evaluation.The method comprises the steps that a low-frequency ultrasonic probe is adopted to conduct water immersion type ultrasonic scanning on a target closing resistor disc, and data to be processed are obtained; preprocessing the to-be-processed data, and extracting characteristic parameters of a back scattering signal, including back scattering average power, back scattering spectrum energy and the like; determining the reference porosity of a specific area of the target resistor disc through a standard water immersion method, and establishing a calibration data set; constructing a porosity prediction model based on particle swarm optimization support vector regression (PSO-SVR), and realizing accurate mapping of back scattering characteristic parameters and porosity through nonlinear regression analysis; and based on the established prediction model, carrying out porosity calculation on the whole area of the resistor disc, and generating a two-dimensional pore distribution image. By means of the method, accurate detection and imaging of the porosity of the closing resistor disc can be achieved.

The invention discloses a method for preparing a porous carbon material by using petroleum coke and biomass as raw materials, which comprises the following steps: respectively crushing and drying a biomass raw material and a petroleum coke raw material, adding a dry biomass fine powder material and a dry petroleum coke fine powder material into urotropine, melamine, alcohol ether carboxylate and water according to a ratio, adding the materials into a reactor, stirring, mixing and reacting; the cured product is fed into a tubular furnace to be subjected to heat treatment in the nitrogen atmosphere, and a carbonized product is obtained; and activating the carbonized product in a carbon dioxide atmosphere to obtain the porous carbon material with the specific surface area of 1510-2090 m < 2 > / g, the total pore volume of 0.72-0.99 cm < 3 > / g and the average pore size of 1.71-2.29 nm. The raw material proportion, the mixing aid dosage and the carbonization activation condition can be adjusted according to different biomass types, the pore distribution of the product can be flexibly adjusted, and the method can be applied to different scenes. The method is low in cost, environment-friendly, controllable in product stability and suitable for large-scale production and application.

The present application belongs to the technical field of numerical simulation of welding process. A method for simulating the control of pores in the flow process of the molten pool of Invar steel includes obtaining the three-dimensional parameters of the parent material Invar steel and the welding process parameters; performing three-dimensional modeling according to the three-dimensional parameters of the parent material Invar steel to form a three-dimensional model, and meshing the three-dimensional model to obtain the welding area; using the welding process parameters and the welding area to perform welding simulation to obtain the change diagram of the molten pool temperature field, flow field and keyhole at different times; using the welding process parameters corresponding to the risk characteristics in the change diagram, performing welding experiments on the welding area corresponding to the parent material Invar steel to obtain the quantitative mapping relationship between the collapse frequency of the keyhole and the pore distribution characteristic parameters and the welding process parameters; based on the quantitative mapping relationship between the collapse frequency of the keyhole and the pore distribution characteristic parameters and the welding process parameters, forming a pore suppression process window optimization scheme based on keyhole stability control.

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.

The invention belongs to the technical field of nondestructive testing, and particularly relates to a carbon fiber composite porosity detection reference block and a preparation method thereof. Comprising the steps that carbon fiber prepreg is blanked according to the laying layer angle and the layer number of a detected part, and the allowance not smaller than 20 mm is reserved; carbon fiber prepreg is laid, pre-compaction is not needed during laying, hot compaction is conducted once every 2-8 layers, and after laying is completed, a test panel is obtained; auxiliary materials including a non-porous isolating membrane and a breathable felt are sequentially laid on the surface of the test plate, and then packaging is conducted; and finally, curing and demolding to obtain the reference block. The reference block with no macroscopic defect and uniform pore distribution is prepared by multiple paving, hot compacting and controlled curing processes, and the process is simple and controllable without introducing foreign substances.

The invention discloses a hard carbon pore distribution evaluation method which comprises the following steps: respectively putting a hard carbon sample into an iodine solution, a methylene blue solution and a caramel solution, so that the hard carbon sample in the iodine solution fully adsorbs iodine in the iodine solution, and the hard carbon sample in the methylene blue solution fully adsorbs methylene blue in the methylene blue solution; caramel in the caramel solution is fully adsorbed by the hard carbon sample in the caramel solution; obtaining an iodine adsorption value, a methylene blue adsorption value and a caramel decolorization rate after adsorption is completed; and evaluating the pore distribution condition of the hard carbon based on the iodine adsorption value, the methylene blue adsorption value and the caramel decolorization rate. According to the method, the distribution of micropores, mesopores and macropores in the hard carbon can be basically evaluated.

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.

The invention provides a sandstone reservoir porosity quantitative prediction method under a double-height and double-depth background, and relates to the technical field of oil-gas exploration and development, and the method comprises the steps: obtaining a rock sample of a target stratum of a research region; determining lithofacies types of sedimentary rocks in the research area; obtaining particle size distribution histograms of different lithofacies types through particle size analysis; measuring the pore size and the pore distribution type in the rock sample; determining the diagenesis type of the research area; establishing a statistical relationship between the porosity and the ground temperature gradient through the pore distribution type and the pore size; constructing a pressure field of the research area to obtain a pressure coefficient of the research area; and performing fitting superposition through the porosity, the lithofacies type, the particle size distribution histogram, the statistical relationship, the pressure coefficient and the diagenesis type, and predicting the porosity distribution range of the sandstone reservoir. By comprehensively considering multiple factors such as formation temperature, pressure, burial depth, diagenesis and the like, high-precision prediction of the reservoir porosity is realized.

The invention discloses an electrolytic cell electrode pore model generation method which comprises the following steps: S1, acquiring volume parameters of an electrode material, determining the thickness of each layer, determining the total number of layers, and acquiring the target porosity of each layer; s2, acquiring pore section shape parameters and pore size parameters of each layer; s3, setting a modeling base plane, randomly generating a pore structure in the nth layer, and automatically modeling the (n + 1) th layer after ensuring that the difference value between the accumulated porosity of the nth layer and the target porosity is less than or equal to a preset threshold value; s4, after modeling of the (n + 1) th layer is completed, the connectivity of adjacent upper-layer and lower-layer pore network flow channels is ensured through a pore surface matching algorithm; and S5, the steps S3 and S4 are repeated until the total thickness of the multi-layer pore structure reaches the target thickness of the electrode material, and an electrode pore model meeting the porosity requirement is formed. According to the electrolytic cell electrode pore model generation method provided by the invention, the difficulty of model generation and numerical calculation is further simplified while the characteristics of random distribution, different sizes and the like of pores are reserved.

The application belongs to the field of membrane material preparation, and relates to a method for preparing a nuclear pore membrane with uniform pore distribution through irradiation, comprising the following steps: determining the vertical size of a beam spot according to the size of a beam window; setting a nuclear pore membrane original film, ensuring that the nuclear pore membrane original film is stretched and taut; performing one-dimensional scanning on the nuclear pore membrane original film by using an ion beam with the determined vertical size; during the one-dimensional scanning, determining the irradiation fluence of an irradiation single scanning period according to the transmission rate v and the transverse scanning frequency f . I 0 The application couples the transmission rate v and the transverse scanning frequency f as main control parameters, achieves the accuracy of the irradiation fluence I , ensures the irradiation uniformity, avoids the transverse stripes generated by irradiation while achieving the target irradiation fluence, and realizes the uniform pore distribution in the process of preparing the nuclear pore membrane through irradiation.

The invention discloses a preparation method and application of a bio-based polyester porous membrane, an organic solvent is used as a poly-3-hydroxybutyrate-co-4-hydroxybutyrate solvent, water is used as a non-solvent, and a phase inversion method is adopted to prepare the porous membrane. By adjusting the concentration of the membrane casting solution and the temperature of the coagulating bath, the phase separation behavior in the membrane forming process is regulated and controlled, the poly-3-hydroxybutyrate-co-4-hydroxybutyrate porous membrane with a controllable structure is prepared, and the porous membrane is uniform in pore distribution and high in porosity. The preparation method of the green polymer porous membrane material, provided by the invention, has the advantages of low cost, simple method, easiness in operation, energy conservation, environment friendliness and the like, and has a wide application prospect in the fields of oil-water separation, lithium ion batteries and the like; the problems of non-uniform pore size distribution, poor repeatability and the like of the existing polyhydroxyalkanoate in the phase separation film forming process are solved.

The utility model discloses a graphene capacitor with a hierarchical pore structure, and belongs to the technical field of graphene capacitors. The graphene capacitor with the hierarchical pore structure comprises the capacitor shell and the separation frames, the number of the separation frames in each group is five, the two groups of separation frames are arranged at the upper end and the lower end of the capacitor shell respectively, and the number of the electrode plates can be conveniently regulated and controlled through the multiple separation frames. According to the utility model, the problems that the pore structure of the existing graphene capacitor cannot be adjusted according to the actual demand and the applicability is poor in the actual use process are solved, the electron conduction path can be optimized through the pore distribution in the porous electrode, and if the continuous conduction of electrons is influenced by the existence of the pores, the graphene capacitor can be applied to the electronic device. The electrode plates with different porosities are selected, so that good ion conduction can be ensured, good electron conduction performance can be maintained, and the electrode can adapt to different working types so as to achieve the optimal use effect.

Halloysite powder is disclosed. The halloysite powder includes a granule in which halloysite including halloysite nanotubes and titanium oxide are aggregated. The granule includes a first pore derived from a tube hole of the halloysite nanotubes, and a second pore different from the first pore. The halloysite powder may have a differential pore distribution determined from a nitrogen adsorption isotherm by BJH method exhibiting two or more pore size peaks.

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.