71 results about "Thermodynamic equilibrium" patented technology

The invention provides a north pole atmosphere coupling forecasting method capable of automatically fusing sea ice concentration and thickness, which belongs to the technical field of meteorology, and comprises the following steps: firstly, acquiring GFS background field data and correcting by applying an ice-sea heat exchange correction equation; and then sea ice concentration and thickness information is extracted, and physical consistency verification is carried out based on a thermodynamic equilibrium equation. Performing multi-element fusion through an Arctic ice sea assimilation model, calculating the sea ice surface temperature by applying a polar region sea ice heat flux equation, and establishing a sea ice concentration thickness boundary layer interaction equation set to describe the modulation effect of sea ice on a boundary layer; the method comprises the core steps of performing deep fusion on various sea ice features by applying a feature fusion model, adaptively adjusting the weight based on an ice-gas interface balance index, generating an optimized mode initial field and boundary conditions, and finally setting a parameter scheme to execute an integral program to obtain a forecasting result. The technical problem of low forecasting accuracy caused by insufficient physical consistency of sea ice information is solved.

The invention belongs to the technical field of evaporation-boiling heat dissipation in a limited space, and relates to a heat dissipation device of a capillary core coupling manifold microchannel, and the heat dissipation device realizes vapor-liquid efficient separation and thermodynamic equilibrium regulation and control through the synergistic effect of thin film evaporation of a capillary core structure and boiling heat exchange of the manifold microchannel. The capillary core structure utilizes high porosity and strong capillary force to realize rapid liquid supplementing and uniform spreading of a working medium, so that local dryness is avoided; the radial manifold structure reduces the flow resistance and improves the temperature uniformity through the topological optimization of the flow channel; the directional exhaust design of the steam channel fundamentally inhibits steam bubble backflow. In a multi-heat-source scene, the device can dynamically adjust the branch flow through a thermal resistance-flow resistance coupling model, and the system stability is remarkably improved. The invention has the advantages of high heat flow bearing capacity, low energy consumption and strong environmental adaptability, and provides an innovative solution for reliable heat management of high-power electronic devices.

The invention provides a metallurgical process optimization method and system for a low-oxygen low-nitrogen aluminum-vanadium alloy, and relates to the technical field of process optimizing.The method comprises the steps that correlation characteristics among process parameters are extracted through a three-layer gating map attention network, and a parameter coupling state vector is constructed in combination with a time sequence attention module; constructing a process prediction model based on the state vector, and fusing a thermodynamic equilibrium equation and a long-short term memory network to predict the oxygen and nitrogen content; a deep reinforcement learning network of a Soft Actor-Critic algorithm is adopted, the parameter coupling state vector and the oxygen and nitrogen content prediction value serve as state input, and the technological parameter adjustment amount is output; and planning and iteratively training a future adjustment strategy through Monte Carlo tree search to finally obtain an optimal process parameter combination meeting oxygen and nitrogen content constraints, thereby realizing intelligent optimization control of the metallurgical process.

The invention relates to an energy efficiency optimization method for a dynamic load of a central air conditioner, which comprises the following steps of: establishing a response relationship among a cold and heat source, a transmission and distribution system and end equipment, identifying a nonlinear decoupling characteristic of a cold and heat response behavior by monitoring operation deflection of each level of equipment under a low-load working condition, and defining and updating a cooling capacity response deviation threshold in real time; on the basis of the cooling capacity response deviation threshold, delay compression control is conducted on response actions of the refrigerant side and the air medium side, and by adjusting the air side response time sequence in advance, dynamic thermodynamic equilibrium is formed between refrigerant transfer delay and air medium response in advance; by establishing the response relationship among the cold and heat source, the transmission and distribution system and the end equipment and introducing a cold capacity response deviation threshold dynamic updating mechanism, nonlinear coupling mismatch in a cold and heat transmission chain can be accurately identified, so that the system is more flexible to operate under low-load and variable-load conditions, frequent start and stop or redundant operation of the cold and heat source is avoided, and the system reliability is improved. And therefore, the overall COP value of the system is remarkably increased, and unit cooling capacity consumption is reduced.

The invention discloses an industrial circulating water evaporation water consumption water-saving control method based on artificial intelligence. According to the method, an efficient air cooling device is additionally arranged on the basis of an existing open type cooling tower circulating water system, and a dry-wet combined cooling system is formed through integration of pipelines and valves. The system collects the temperature, flow, pressure, energy consumption and environmental parameters of each node in real time, and after data fusion and preprocessing, the cooling load and evaporation water consumption are calculated based on thermodynamic equilibrium and hydraulic equilibrium models. A multi-objective optimization model which takes minimization of evaporation water consumption as a main part and minimization of energy consumption as an auxiliary part is adopted, an artificial intelligence algorithm is used for real-time solving, optimal control parameters such as flow distribution, fan rotating speed and valve opening degree are output, and dynamic adjustment of the cooling system is achieved. The system continuously corrects and optimizes model parameters through a closed-loop feedback and self-learning mechanism, ensures that the water supply temperature reaches the standard, the evaporation water consumption is minimum and the energy consumption is optimal, and remarkably improves the water saving and operation efficiency of the industrial circulating water system.

The application discloses a kind of atmospheric environment ozone concentration prediction system based on chemical reaction mechanism, including obtaining weather forecast parameter, historical observation data cleaning analysis, analysis screening suitable model, model training and prediction, prediction result analysis, data visualization and so on functional module composition.This system is based on Lagrangian coordinate system, establishes the response relationship between meteorological parameter, pollutant concentration and ozone concentration, using thermodynamic equilibrium principle, chemical reaction equilibrium principle and photochemical reaction principle and other basic chemical reaction engineering theory, deduces the non-linear model of meteorological parameter, pollutant concentration and other parameters on ozone concentration influence, by the independent design of each software function module, with low energy consumption, low carbon emission, low operating cost, data automatic processing, easy to deploy, can be connected ecological cloud platform, system expansibility is strong, maintenance is easy, and computing efficiency is high.Therefore, it has broad market application prospect and good social and economic benefits.

The invention discloses an efficient welding method for an exhaust silencer of a motorcycle. According to the invention, breakthrough improvement of manufacturing quality and efficiency is realized through multi-dimensional technical innovation. A high-frequency electromagnetic field resonance stress relief technology is creatively introduced, the metal crystallization behavior is intervened in real time in the welding process, and the thermodynamic equilibrium state of traditional welding is fundamentally reconstructed. Electromagnetic energy directly acts on molten metal in a microscopic particle vibration mode, lattice defects are promoted to be spontaneously repaired in the liquid stage, the deformation cracking risk caused by thermal stress accumulation in a traditional technology is avoided, and microstructure optimization is more synchronously completed. According to the dynamic energy field regulation and control means, the welding strength and toughness of the complex curved surface structure of the silencer are synergistically enhanced, a uniform and compact fine grain structure is formed in a welding seam area, the anti-fatigue performance of a product under the impact of high-temperature tail gas is remarkably improved, meanwhile, the necessary annealing procedure after traditional welding is integrated into in-situ treatment, and the production efficiency is improved. And the production period is greatly shortened.

The invention discloses an oil and gas shaft multiphase flow simulator MphaseSim modeling method and a PINN solving method, and relates to the technical field of oil and gas field exploitation, and the method comprises the following steps: pre-calibrating a modeling strategy, including calibrating gas-liquid two-phase flow, and calculating the average flow velocity according to the section occupied by the gas-liquid two-phase flow; mass transfer can occur between the calibrated gas and liquid phases, but the gas and liquid phases are always in a thermodynamic equilibrium state; in calibration steady-state analysis, the mass flow of any section of the shaft is equal, and the liquid holdup is calculated through a drift-assisted equation. According to the method, on the basis of a mass-momentum-energy coupling mathematical model, the SRK state equation and the drift flow model are combined, the phase change characteristics, momentum transfer and energy conversion rules of the gas phase and the liquid phase can be accurately represented, the model sealing performance is good, and the physical significance is clear; and the device can be stably applied to different types of oil and gas well scenes such as gas wells, deep oil wells and electric submersible pump wells, has no obvious numerical value divergence problem in long shaft flow simulation, and can effectively reflect the real production state of the shaft.

The invention provides a refined calculation method for thermal equilibrium of a secondary pipe network. The refined calculation method comprises the following steps: S1, establishing an indoor comprehensive temperature calculation model of a building; s2, an outdoor comprehensive temperature calculation model is established, and time-average calculation optimization is carried out; s3, optimizing an indoor comprehensive temperature calculation model of the building, and eliminating system delay; s4, the theoretical building indoor comprehensive temperature is calculated, whether the building indoor set target temperature is met or not is judged, and pipe network thermodynamic equilibrium adjustment is conducted; and S5, evaluating the thermal equilibrium effect of the pipe network. Data resources of secondary pipe network supply and return water temperature, heating buildings and outdoor meteorological temperature are fully utilized, an indoor and outdoor temperature dynamic calculation model is established through heat balance theory analysis, thermal delay is considered synchronously, a system cooperative adjustment strategy is achieved, and system stability is improved.

The invention relates to the technical field of nanofluid enhanced heat transfer simulation, in particular to a molecular dynamics-based mixed nanofluid heat transfer characteristic analysis method, which comprises the following steps of: constructing a molecular model comprising copper, graphene nanoparticles and an ionic liquid / water mixed base solution, and calculating the heat transfer characteristic of the mixed nanofluid through a distribution potential function and a periodic boundary condition; and performing energy minimization and molecular dynamic relaxation to achieve thermodynamic equilibrium. A steady-state temperature gradient is established based on the unbalanced molecular dynamics principle, and the thermal conductivity is calculated according to the Fourier law. Microcosmic parameters such as a radial distribution function, mean square displacement and the number of hydrogen bonds are synchronously analyzed, and a coupling mechanism of interaction and heat transfer performance of the nano-particle-base fluid interface is disclosed. According to the method, the heat transfer characteristic of the mixed nanofluid can be clarified on the molecular scale, and an efficient and reliable analysis means is provided for nanofluid screening and design in application of a solar heat collector, a heat management system and the like.

The present invention belongs to the field of catalyst technology, and specifically discloses an organic hydrogen transfer aid for propane dehydrogenation and a synthesis method thereof. The preparation method described in the present invention is to first coat the surface of a quinone material (L) with a layer of SiO2, and then perform a hydrothermal crystallization treatment to form an S-1 molecular sieve shell to obtain an L@S-1 material. Through the confinement of the molecular sieve pores, the quinone material can realize a hydrogenation-dehydrogenation cycle at a higher reaction temperature. When the material is used in combination with a noble metal propane dehydrogenation catalyst, a series reaction of propane dehydrogenation and hydrogenation of the quinone material is realized, the hydrogen partial pressure of the propane dehydrogenation process is reduced, and the thermodynamic equilibrium limit is broken through, thereby realizing a propane dehydrogenation reaction at a lower reaction temperature. The reduction in reaction temperature will bring about advantages such as reduced energy consumption and increased catalyst stability.

The present invention relates to a tin smelting chemical reaction optimization control method based on reinforcement learning, which belongs to the interdisciplinary technical field of metallurgical engineering and artificial intelligence. The present invention uses an improved Fourier synthesis method to simulate state data in tin smelting. Subsequently, a tin smelting process model based on reinforcement learning algorithm is constructed, and the key process parameters in the furnace are used as state variables. An Actor-Critic architecture with a dual-network design is adopted to realize dynamic optimization control. The present invention also introduces a physical and chemical model, combines the process parameters and the thermodynamic equilibrium formula of the chemical reaction, and calculates the changing trend of the carbon monoxide generation. The present invention can intelligently optimize the chemical reaction conditions in the tin smelting process, increase the amount of tin generated, reduce carbon monoxide emissions, and effectively shorten the reaction time and reduce energy waste.

A transmission conductor glaze ice coating growth modeling and simulation method comprises the steps that an air flow field control equation is established, and the local collision coefficient of water drops and the surface of a conductor is solved based on the Euler-Lagrangian method; the method comprises the following steps: dispersing the surface of an iced conductor into a plurality of infinitesimal control bodies, establishing a mass conservation equation of each infinitesimal, and carrying out partition modeling on a surface thin water film flow process; constructing an infinitesimal energy conservation equation according to a thermodynamic equilibrium principle, and calculating a water drop freezing coefficient by balancing multiple energy input and output items; combining the collision coefficient and the freezing coefficient to establish an icing growth thickness calculation model; and setting physical parameters and boundary conditions in a finite element simulation environment, and simulating an icing growth process to obtain a glaze icing three-dimensional shape. According to the method, icing key parameters can be accurately calculated, the relative error between a simulation result and actual icing is lower than 5%, the defect of a wet growth icing theory is overcome, data support is provided for torsion, galloping and other problems caused by wire icing, and power transmission line icing prediction, analysis and prevention and control can be assisted.

The invention discloses a method for constructing food-grade Janus nanoparticles based on thermodynamic equilibrium and instantaneous nano precipitation, and belongs to the technical field of nano materials. According to the preparation method, hydrophobic zein and soybean lecithin are taken as raw materials, a method of combining anti-solvent precipitation and thermal induction is adopted, and three-phase interfacial tension of a system is adjusted by regulating and controlling parameters such as temperature and surfactant concentration in a rapid exchange process of a solvent, so that composite nanoparticles are converted into dumbbell-shaped structures; finally, the food-grade Janus nanoparticles with uniform particle size distribution and stable properties are formed. The method for constructing the food-grade Janus nano-particles is easy and convenient to operate, low in cost and suitable for large-scale industrial production, and meanwhile the constructed Janus nano-particles have good stability and are widely applied to the fields of food, medicine or cosmetics.

This invention discloses a low-stress growth apparatus and method for silicon carbide crystals. The growth apparatus includes a crucible, a seed crystal lifting rod, and a seed crystal holder. The seed crystal lifting rod extends vertically into the crucible from the top. The top of the seed crystal holder is the connection surface with the seed crystal lifting rod, and the bottom of the seed crystal holder is the connection surface with the seed crystal. The bottom of the seed crystal lifting rod is connected to the top of the seed crystal holder. The seed crystal holder has a gradient cross-section structure, with the bottom cross-section being larger than its top cross-section. This invention optimizes the temperature field distribution and the seed crystal holder structure, reducing the problem of excessive internal stress in the crystal due to thermal mismatch. It allows the crystal to grow in a near-thermodynamic equilibrium state with a smaller internal temperature difference, providing a foundation for the sustainable growth of large-size, high-quality SiC single crystals.

The invention discloses a natural hydrogen formation cause identification method based on cluster isotope, which comprises the following steps: obtaining a purified hydrogen sample to be detected through separation and purification treatment; performing cluster isotope measurement on the purified hydrogen sample to obtain a cluster isotope value representing the abundance deviation random distribution degree of the dideuterium molecules; when it is judged that the cluster isotope value is in the original thermodynamic equilibrium state, the formation temperature of the purified hydrogen sample is inverted according to the theoretical function relation between the cluster isotope value and the thermodynamic equilibrium temperature; and comparing the formation temperature with a pre-established formation temperature range of different cause types of natural hydrogen, and determining the cause type of the purified hydrogen sample. According to the method, the cluster isotope delta DD is introduced as an anti-interference core index, and multi-source information verification and temperature quantitative inversion are combined, so that a fundamental breakthrough of the natural hydrogen cause from qualitative speculation to accurate quantitative judgment is realized.

The invention discloses a method for accurately regulating and controlling oxygen vacancy concentration in a lithium-rich layered oxide positive electrode material and application of the method. According to the method, a controllable oxygen partial pressure environment is established by utilizing a CO / CO2 mixed gas pair on the basis of a pyrometallurgy principle, and the proportion of Mn < 4 + > / Mn < 3 + > in the material and the corresponding oxygen vacancy concentration are accurately regulated and controlled through a thermodynamic equilibrium process. According to the method, the oxygen vacancy concentration can be continuously and accurately controlled in an extremely wide oxygen partial pressure range (10 <-0.7 > to 10 <-10 > atm), and foreign impurities are not introduced. Along with the increase of oxygen vacancy concentration, lattice expansion and superstructure enhancement of the material occur, so that the activity and reversibility of the anion oxidation-reduction reaction are remarkably optimized. Experiments show that the lithium-rich positive electrode material treated by the method under the optimized condition shows higher specific capacity and improved cycle stability.

This invention belongs to the field of thermodynamics and phase equilibrium measurement technology of metallurgical slag, and discloses a high-temperature phase equilibrium determination method for vacuum-sealed slag systems containing low-valent titanium oxides. The raw materials are roasted or dried; they are placed in a high-temperature resistant container according to a preset composition ratio, placed inside a quartz tube, and a deoxidizer is added; after vacuum preheating, argon gas washing, and adjustment of the vacuum level inside the tube, the slag is high-temperature sealed to form a thermodynamically closed system; the slag sample is held at the experimental temperature until it reaches thermodynamic equilibrium, and after the holding period, it is rapidly quenched to preserve the high-temperature phase structure; finally, the phase equilibrium is determined through characterization. This invention uses a closed system to effectively isolate external gas interference, and relies on the slag sample's own redox equilibrium to autonomously establish and maintain the ultra-low oxygen potential required for the stable existence of low-valent titanium oxides. This solves the technical problem that traditional atmosphere-controlled oxygen methods cannot meet the phase equilibrium determination of slag systems containing low-valent titanium oxides, and achieves accurate and reliable determination of the phase diagram of slag systems containing low-valent titanium oxides at steelmaking temperatures.

This invention discloses a two-stage plasma-catalyzed carbon dioxide methanation reactor in the field of plasma catalysis, comprising: a reactor, which is a cylindrical reactor with a closed top and bottom, divided into an inner reaction chamber and an outer reaction chamber by an insulating cylinder; the inner reaction chamber and the outer reaction chamber are respectively provided with an inlet and an outlet at their tops; an electrode assembly, including a high-voltage electrode and a grounding electrode, respectively disposed in the inner reaction chamber and the outer reaction chamber, both of which are electrically connected to a high-voltage power supply; a dehydration structure, disposed at the bottom of the reactor and connected to both the inner and outer reaction chambers; and a catalyst, including a first catalyst and a second catalyst. The beneficial effects of this invention are: by setting up two reaction chambers and setting up a dehydration device between the two reaction chambers, the thermodynamic equilibrium is shifted in a direction favorable to methanation, and the second reaction chamber utilizes the heat from the first reaction chamber, thus saving more energy.

The invention provides a molecular simulation method for representing double electric layers on the surface of a tight reservoir after carbon dioxide injection. The method comprises the following steps: constructing a tight reservoir rock pore surface model, a crude oil system model, an original environment formation water system model and a CO2 environment formation water system model, and further constructing to obtain an original environment tight reservoir surface system model and a CO2 environment tight reservoir surface system model; performing NVT ensemble lower equilibrium molecular dynamics simulation on the original environment tight reservoir surface system model and the CO2 environment tight reservoir surface system model to enable the models to reach a thermodynamic equilibrium state, and then performing NPT ensemble lower dynamics simulation to balance the temperature and pressure of each model to the actual temperature and pressure of the tight reservoir; and on the basis of a dynamic simulation result under the NPT ensemble, performing tight reservoir surface double-electric-layer characterization after carbon dioxide injection.

The invention provides a real-time check calculation method and system for greenhouse gas emission in a chemical process based on digital twinning, and relates to the technical field of chemical carbon check calculation. The method comprises the steps that the total flow of process gas flow in a natural gas hydrogen production device and accurate concentration data of methane, carbon monoxide and carbon dioxide in inlet and outlet gas flow are collected; on the basis of the real-time data and the total flow, a carbon element digital twinborn model is constructed, and an observation data sequence representing the natural gas hydrogen production reaction process is formed in the carbon element digital twinborn model. And in the twin model, establishing a model taking the catalyst activity as a hidden state, and deducing a catalyst activity sequence reflecting the dynamic change of the reaction thermodynamic equilibrium state. And furthermore, a carbon element flow network is dynamically constructed according to the active sequence, the conversion amount from carbon elements with methane as a source to carbon dioxide is calculated in real time, the greenhouse gas emission amount in the production process is accurately calculated according to the conversion amount, and real-time accurate calculation of the greenhouse gas emission related to the natural gas hydrogen production reaction in the chemical process can be realized.

The present invention provides a method and system for solving the multiphase equilibrium of electric furnace smelting titanium slag based on a genetic algorithm, which relates to the technical field of electric furnace smelting titanium slag, including: obtaining basic data in the electric furnace smelting titanium slag scenario; performing model construction processing based on phase composition data and thermodynamic property parameters to obtain a thermodynamic equilibrium constraint model; performing high-dimensional solution space generation processing based on phase composition data and smelting environment parameters to obtain a multidimensional equilibrium solution space; performing population encoding processing based on the multidimensional equilibrium solution space to obtain an initial population; performing fitness fusion processing based on the thermodynamic equilibrium constraint model to obtain a fitness index; performing evolution processing based on the fitness index and the convergence condition of the thermodynamic equilibrium constraint model to obtain an equilibrium solution set. The present invention embeds temperature and pressure parameters into the thermodynamic equilibrium constraint model, adjusts the Gibbs free energy weight through the temperature gradient, and controls the phase stability of the complex through the pressure gradient, so that the calculation results are more in line with actual smelting conditions.

The application belongs to the technical field of manufacturing high-magnetic-induction oriented silicon steel, and particularly relates to a method for optimizing inhibitor structure of silicon steel by dew point control, which comprises the following steps: obtaining silicon steel, and normalizing the silicon steel to obtain optimized silicon steel; the temperature of the normalizing is 1080-1120 DEG C, the holding time is 1-3 min, the dew point is 5-35 DEG C, the atmosphere is nitrogen, and the cooling mode is specifically as follows: rapidly cooling to room temperature at a cooling rate of greater than 15 DEG C / s. The application adopts a specific positive dew point range, achieves thermodynamic equilibrium control, realizes the synergistic effect of "surface trace oxidation / inner oxidation" and "high-temperature decarburization", thereby optimizing inhibitor precipitation kinetics and purifying grain boundaries, and finally achieving the purpose of greatly improving the magnetic properties of finished products.

This invention relates to the field of smart grid transmission line monitoring technology, and discloses a method and system for dynamic prediction of icing on transmission lines. It mainly addresses the problems of low prediction accuracy and poor generalization ability of existing pure data-driven prediction models in wind-ice coupling and complex micro-topographic environments, as well as in extreme weather conditions. The method includes: acquiring micro-meteorological, conductor tension, and DEM micro-topographic data of the transmission network; extracting wind-induced equivalent tension from conductor tension using a gaseous physical model to extract pure ice load characteristics unaffected by wind load; constructing a spatial topology map of the transmission network, integrating micro-topographic labels and other features, and inputting it into a spatiotemporal graph neural network; extracting spatiotemporal evolution features using a network model containing physical penalty terms in the thermodynamic equilibrium equation for water droplet freezing, and outputting a dynamic icing thickness distribution map; finally, calculating the unbalanced tension risk and generating a de-icing scheduling strategy.

The application discloses a kind of assimilation weather radar data's prediction system, specifically related to weather forecasting field, including radar data acquisition module, physical knowledge construction module, physical constraint extraction module, multi-source data assimilation module and industry risk index generation module.A kind of assimilation weather radar data's prediction system is realized to the hierarchical physical discrimination and suppression of ground clutter and superrefraction echo by radar data acquisition module, improves the data reliability of meteorological decision basis in asset dispatching management scene;Through physical constraint extraction module, the multi-objective joint optimization of microphysical process constraint, thermodynamic equilibrium constraint and non-meteorological noise suppression is realized, the credibility of meteorological element deduction result in high-reliability commercial scene is significantly improved, so that the generated feature analysis field has the physical rationality of supporting key asset management decision, improves the scientificity of administrative decision basis and the accuracy of financial risk assessment.

A method of producing a densified carbon fiber reinforced carbon (carbon / carbon) component includes placing a carbon / carbon preform and preform heater(s) into a reactor vessel with an immersing quantity of a precursor liquid (e.g., hydrocarbon). The reactor vessel includes a condenser for condensing precursor gases (e.g., carbonaceous gases) produced during densification and thereby maintain a thermodynamic equilibrium. Electrical current is supplied to the preform heater over a multi-hour period of densification in which the precursor liquid is continually boiled and the precursor gases continually produced. The current is sufficient to maintain the preform at a densification temperature above a precursor cracking temperature, thereby causing the precursor gases to be diffused into the preform and dissociated gas species to be deposited. Densification begins within the preform and advances outwardly along a densification front until completion.

The utility model belongs to the technical field of carbon dioxide hydro-conversion, particularly relates to a membrane reactor for a reaction-separation coupling process, and aims to solve the problem of performance failure of the membrane reactor in a high-temperature environment in the background technology, the following scheme is provided: the membrane reactor comprises a reaction tube body, end covers are screwed on the outer walls of two ends of the reaction tube body, and the end covers are screwed on the outer walls of two ends of the reaction tube body; a product gas outlet is welded to one end of the outer wall of the bottom of the reaction tube body, a feed gas inlet is welded to the other end of the outer wall of the top of the reaction tube body, and a purge gas outlet is welded to the outer wall of one side of one end cover. The NaA molecular sieve membrane loaded by the ceramic hollow fiber carrier is adopted, a compact and defect-free zeolite membrane layer is formed through a multi-time in-situ growth process, the membrane can still keep a stable hydrophilic nano channel (the aperture is 0.4 nm) at the temperature of 300-400 DEG C and the high pressure of 4 MPa, water molecules are preferentially adsorbed and permeated, the thermodynamic equilibrium limitation is effectively broken, and compared with a traditional molecular sieve membrane, the membrane has the advantages that the membrane is simple in structure and convenient to use, and the cost is low. The thermal stability is obviously improved.

The invention relates to the technical field of flue gas purification, and provides a method for monitoring the operation condition of an activated carbon adsorption tower, and the method specifically comprises the following steps: detecting the physicochemical properties of activated carbon and raw flue gas; constructing a tower body structure comprising a feed port, a flue gas purification section, a transition section and a discharge port; collecting activated carbon conveying amount, flue gas flow and pollutant concentration data in real time; calculating the activated carbon temperature of the purification section through a thermodynamic equilibrium equation. According to the method, establishment of a parameter correlation model becomes a breakthrough direction, direct measurement is replaced by indirect calculation, and visual monitoring of the temperature of the purification section is achieved. According to the method, a parameter correlation model is further established, the amount of leaked smoke is judged, and the safety of the system is indirectly judged.

The invention discloses a composite material interface bonding strength prediction method based on molecular dynamics, and relates to the field of composite material interfaces. Aiming at the defect of lack of accurate, low-cost, rapid and quantitative prediction of the interface bonding strength of the composite material in the prior art, the invention provides a method for predicting the interface bonding strength of the composite material based on molecular dynamics. The method comprises the steps that a full-atom molecular model of a target composite material is constructed, and an initial geometrical configuration with stable energy is obtained through molecular mechanical force field optimization; a periodic matrix and reinforcement model is established, and thermodynamic equilibrium of the system is achieved through molecular dynamics simulation; splicing the balanced matrix and reinforcement, and constructing and balancing an interface model; producing a simulation output track file; and counting the continuous residence time of the interface atoms, calculating the average residence time tau, and taking the average residence time tau as a quantitative descriptor of the bonding strength. The method is suitable for high-efficiency prediction of the interface bonding strength of a novel composite material, performance optimization, material research, development and screening and the like.

The invention relates to the technical field of physical and chemical detection of metal materials, in particular to an intelligent microscopic structure recognition and quantitative evaluation method fusing a physical mechanism, which comprises the following steps of: performing adaptive contrast enhancement on a metallographic image by using a grain boundary corrosion potential difference, and constructing a high signal-to-noise ratio physical characteristic field; a topology reconstruction model fusing a martensite phase transformation mechanism, flow field dynamics simulation and thermodynamic equilibrium repair is constructed, and a closed grain network conforming to physical authenticity is reduced; based on the reconstructed crystal grain topology network, realizing multidimensional quantitative characterization and anti-noise rating of the effective size, shape anisotropy and texture orientation of the crystal grains through an equivalent ellipse fitting and area weighting algorithm; a local variable coefficient thermodynamic diagram is generated through sliding window scanning, and quantitative evaluation is carried out on the tissue heterogeneity. According to the method, the problems of incomplete grain boundary identification, statistical rating distortion and local defect missing detection in the prior art are effectively solved, and automatic early warning of local coarse grain and mixed crystal risks of the high-performance metal material is realized.