11 results about "Thermochemistry" patented technology

The invention provides a method for optimizing a thermochemical huff-puff efficiency-raising process of a heavy oil reservoir, which comprises the following steps of: 1, collecting geological data, establishing a numerical model, and calculating to obtain a relation curve between different factors and productivity; step 2, fitting the relation curve to obtain a relational expression between different factors and productivity; 3, according to the oil reservoir development condition, influences of different factors are calculated; 4, calculating the influence ratio of different factors on the productivity by using an analytic hierarchy process; and step 5, optimizing a steam huff and puff efficiency improving process according to the influence degree. According to the method for optimizing the heavy oil reservoir thermochemical huff and puff efficiency improving process, quantitative comparison of different productivity influence factors of different types of heavy oil reservoirs is achieved, quantitative evaluation of the influence of different factors on productivity is achieved in combination with an analytic hierarchy process, according to the proportion of different factors, thermochemical agents are optimized, and the multi-round steam huff and puff development effect is improved.

The embodiment of the invention discloses a high-pressure gas switch arc plasma particle component prediction method, system, medium and equipment, and the method comprises the steps: constructing a thermochemical database, and storing the thermodynamic parameters of SF6, air, fluorocarbon and dissociation / ionization decomposition products thereof, and metal steam; the method comprises the following steps: performing atomic-scale decomposition on a detected arc extinguishing medium to identify basic elements, extracting metal vapor, neutral particles containing the elements and charged ions generated by ionization of the neutral particles in combination with a database, and forming a candidate particle list; constructing a reaction equation library (reactants and products are from candidate lists) on the basis of mass conservation, and determining dominant reaction paths under different temperatures and pressures; determining particle number density distribution during balance according to the dominant path, constructing a neural network model taking temperature pressure as input and number density as output, defining a loss function and completing training; and finally, inputting the current arc temperature pressure to quickly obtain the corresponding population density distribution so as to provide support for the optimization of the arc extinguishing performance of the high-voltage switch.

This application provides a method for calculating the thermochemical ablation of composite materials based on a physical information neural network, relating to the field of macroscopic thermochemical ablation prediction technology. The method includes: constructing a macroscopic thermochemical ablation reaction equation for carbon-carbon composite materials; constructing a heat conduction equation for the thermochemical ablation of carbon-carbon composite materials; constructing a physical information neural network model; constructing a macroscopic geometric model of carbon-carbon composite materials; training the physical information neural network model; inputting the carbon-carbon composite material to be detected for macroscopic thermochemical ablation into the trained physical information neural network model to obtain the prediction result of the macroscopic thermochemical ablation behavior of the carbon-carbon composite material. This method, by embedding the physical laws of heat conduction into a neural network, achieves a deep integration of data-driven and physical constraints, enabling rapid and high-precision prediction of the thermochemical ablation of composite materials, and has great application prospects.

The invention provides a cross-scale conversion method and device for reaction kinetic parameters of a composite material, and the method comprises the steps: obtaining input parameters of internal fibers and a matrix of the material; respectively calculating a dimensionless ablation factor of the fiber surface and a dimensionless ablation factor of the matrix surface under the current condition by adopting a thermochemical ablation model; carrying out local thermal environment flow reaction simulation to obtain a matrix surface mass transfer coefficient by adopting a micro-structure unit cell model and taking the micro-structure unit cell model as a chemical reaction boundary; based on the matrix line ablation rate and the conversion matrix line ablation rate, setting matrix surface ablation and material initial ablation surface parallel conversion material line ablation rate; carrying out aerodynamic thermal environment flow reaction simulation to obtain a material scale surface flow field mass transfer coefficient, and converting a material dimensionless ablation factor; and based on the thermochemical ablation model, a parameter identification method is adopted to obtain material reaction kinetic parameters after cross-scale conversion.

The invention discloses a table establishing method for simulating turbulent flow heat diffusion unstable hydrogen combustion, and belongs to the field of hydrogen turbulent flow combustion numerical simulation calculation. On the basis of a multi-component space model (CSM), a small flame model containing a difference diffusion effect, curvature and a strain rate is established, an original solution of the small flame model is mapped into a component space to establish a small flame table, and the influence of the curvature and the strain rate on turbulent flow thermal diffusion unstable hydrogen combustion characteristics is considered at the same time. According to the method, the thermochemical variables in the small flame table are directly extracted according to the space components, and direct calculation in numerical simulation is avoided, so that the calculation cost is reduced. The method has certain guiding significance in researching the application of low-propagation-speed turbulent heat diffusion unstable premixed hydrogen flame combustion.

The invention discloses a multi-physical field coupling simulation method for curing deformation of a hybrid composite material, and belongs to the technical field of composite material forming simulation. The method comprises the following steps: establishing a three-dimensional geometric model of a hybrid composite material laminated plate, and constructing a multi-physical field coupling environment comprising a chemical field, a thermal field, a resin flow-compaction field and a stress field; according to preset curing process parameters, a process action area with temperature and pressure changing along with time is set in the model; through multi-physics field coupling finite element calculation, curing degree distribution, temperature distribution, fiber volume fraction distribution and stress distribution in the laminated plate in the curing process are obtained; and constructing a curing deformation simulation result of the laminated plate based on the distribution result, and performing visual display. The method can comprehensively reflect the influence of curing reaction heat release, heat conduction, resin flow compaction and thermochemical strain on curing deformation, and provides a simulation analysis means for hybrid composite laminate curing process design and deformation prediction.

This invention discloses a simulation method and related equipment for ammonia energy storage based on the local non-thermal equilibrium method, belonging to the field of thermochemical energy storage in solar tower power plants. This method constructs a three-dimensional model of the ammonia decomposition reaction tube, which overcomes the shortcomings of the two-dimensional model, which can only show the temperature and ammonia mass fraction at the cross-section of the ammonia decomposition reaction tube with the axial direction and radius. It can reflect the temperature and ammonia mass fraction at the cross-section of the ammonia decomposition reaction tube with the circumferential angle. The invention proposes to use the local non-thermal equilibrium method to study the ammonia decomposition reaction tube on the heat-absorbing side of the solar thermal ammonia energy storage system, replacing the traditional continuous homogeneous medium model. Due to the different heat transfer characteristics, there is a temperature difference between the gas and the catalyst particles in practical applications. Studying the temperature change laws of the gas and catalyst particle sides separately can obtain more accurate results and reveal the energy transport characteristics of the thermal-chemical energy conversion of ammonia energy storage more profoundly.

The application discloses an improved method of a thermodynamic two-temperature model non-equilibrium energy system, and mainly is used in the numerical simulation process of hypersonic thermochemical non-equilibrium flow. The method reconfigures the calculation form of each temperature energy mode representation and relaxation and transport process of the two-temperature model by referring to the calculation method of the one-temperature model equilibrium energy system, and re-models and calculates the equilibrium energy item represented by the vibration temperature by using a polynomial fitting method to replace the original complex and time-consuming exponential calculation mode. The method is good in adaptability to the existing thermodynamic two-temperature model solver framework, can improve the numerical stability of the thermochemical non-equilibrium flow simulation process and improve the calculation efficiency on the premise of ensuring the calculation precision.

The invention discloses a rotational flow hydrogen turbulent combustion heat loss and differential diffusion numerical calculation method, and belongs to the field of rotational flow hydrogen turbulent combustion numerical calculation. The method comprises the following steps: establishing a rotational flow model containing a mixed fraction, a progress variable, normalized enthalpy and a mixed fraction second-order control equation; adjusting reactant temperature to simulate heat loss based on a hedging flame device, and constructing a small flame table in combination with a non-unit Lewis number hypothesis; mapping the parameters to / / / four-dimensional space to generate a small flame library; and after solving the control equation, looking up a table to obtain a thermochemical amount, and carrying out iterative convergence by adopting a PIMPLE algorithm. According to the method, the heat loss and the difference diffusion effect are comprehensively represented through the four-dimensional parameter space, the velocity field and the temperature distribution of the double-swirl hydrogen flame can be accurately predicted, and an efficient simulation tool is provided for optimization of the swirl burner.

The application discloses a small flame modeling method considering curvature and differential diffusion for hydrogen-rich fuel quenching, and belongs to the field of energy and combustion engineering. The method comprises the following steps: a database is established by solving one-dimensional premixed small flame equations by using ULF software; the database is mapped to a control parameter space (mixing fraction, process variable, enthalpy and hydrogen mass fraction) by an OpenFOAM mapping program, wherein the hydrogen mass fraction represents the curvature effect; a differential diffusion term is introduced when solving the control parameter equation set, and the thermochemical variable is obtained by table lookup. The application firstly considers the influence of the curvature effect and the differential diffusion effect on the quenching process, takes the hydrogen mass fraction as the curvature proxy variable, and significantly improves the prediction accuracy of the quenching speed. Through dimension reduction processing, the number of equations to be solved is reduced, the calculation efficiency is improved while the accuracy is ensured, and the method is suitable for quenching process simulation of all gas fuels.

The invention discloses a small flame modeling method considering curvature and differential diffusion for hydrogen-rich fuel tempering, and belongs to the field of energy and combustion engineering. The method comprises the following steps: solving a one-dimensional premixed flame equation by using ULF software to establish a database; mapping the database to a control parameter space (mixing fraction, process variable, enthalpy and hydrogen mass fraction) through an OpenFOAM mapping program, wherein the hydrogen mass fraction represents a curvature effect; a difference diffusion term is introduced when a control parameter equation set is solved, and thermochemical variables are obtained through table look-up. According to the method, the influence of the curvature effect and the difference diffusion effect on the tempering process is considered at the same time for the first time, the hydrogen mass fraction serves as a curvature agent variable, and the tempering speed prediction precision is remarkably improved. The number of solving equations is reduced through dimension reduction processing, the calculation efficiency is improved while the precision is guaranteed, and the method is suitable for tempering process simulation of all gas fuels.