26 results about "Thermodynamic state" patented technology

The application discloses a numerical calculation method and system for fuel blending turbulent combustion differential diffusion, and belongs to the field of turbulent combustion numerical simulation. The method comprises the following steps: a small flame table is established based on one-dimensional counterflow flame equation; through a mapping algorithm, thermodynamic state is parameterized as a function of mixing fraction and reaction process variable; a differential diffusion term of multi-fuel component is derived; control equations of a differential diffusion two-equation small flame model suitable for multi-fuel component under a large eddy simulation framework are established and solved; the model is discretized and coupled with a pressure-velocity field; in the process, simulation results of a small flame model without considering the differential diffusion effect are used as a comparison by the same method to highlight the influence of the differential diffusion effect. The application extends the differential diffusion two-equation model to multi-fuel blending conditions, takes a hydrogen-ammonia blended combustion two-fuel turbulent diffusion flame as an example, compares the mass fraction and temperature distribution of main components through a priori and posteriori method, and quantitatively analyzes the influence of the differential diffusion effect.

This invention discloses a robust design method for gas turbine performance based on multi-source stochastic response coordination, relating to the field of gas turbine performance design. The method sequentially performs three types of stochastic influence analysis: design model, manufacturing, and usage process, constructing probability density functions for core performance parameters respectively. Based on the task phase, it determines the risk levels and weights of various stochastic factors, fusing them to generate a comprehensive probability density function. With the goal of minimizing the dispersion and optimizing the expected value of the comprehensive probability density function, it combines the constraints of component thermodynamic state parameters to solve the optimization model, obtaining the optimal combination of performance parameters. This invention achieves multi-source stochastic coordinated quantification and characterization, improving the robustness of gas turbine performance, solving the problems of conservative design and poor adaptability to operating conditions in traditional methods, and enhancing its operational safety and reliability.

This disclosure provides a method for determining the critical moment and thermodynamic state parameters of a chemical reaction containing a gaseous component. The method for determining the critical moment of a chemical reaction containing a gaseous component includes determining a first stoichiometric coefficient and a first mass change of a first substance in the chemical reaction, and a second stoichiometric coefficient and a second mass change of a second substance. Both the first and second substances include at least one of the following: a gaseous component in the chemical reaction, a solid component in the chemical reaction, and a liquid component in the chemical reaction; determining a first reaction execution rate based on the first mass change and the first stoichiometric coefficient; determining a second reaction execution rate based on the second mass change and the second stoichiometric coefficient; obtaining a stoichiometric window function to characterize the critical moment of the chemical reaction containing a gaseous component based on the first and second reaction execution rates; and determining the critical moment of the above reaction based on the stoichiometric window function.

The invention discloses a high-temperature alloy component optimization method and system based on reverse tracing of a performance track. The method comprises the following steps: establishing a standardized data set containing high-temperature alloy components, full-temperature-range performance data and thermodynamic state parameters; performing numerical analysis on the performance curve to extract track geometric features and key instability point temperature; generating a dynamic mechanism boundary function based on the thermodynamic state parameters and the key instability points, and dividing a performance orbit into subintervals dominated by different physical mechanisms; constructing a ternary tensor sensitivity model by using a deep neural network, and generating a ternary sensitivity tensor representing a coupling mapping relationship among elements, a microscopic phase and a strengthening mechanism; constructing a composite loss function containing a physical mechanism consistency penalty term, and correcting a mathematical gradient direction by using a ternary sensitivity tensor to invert an optimal component; and performing perturbation screening and experimental iteration on the candidate components through an active learning closed-loop feedback module.

The application belongs to the field of marine seismic exploration, and particularly relates to a non-ideal gas air gun wavelet simulation method based on a unified bubble theory, comprising: obtaining sea area environment parameters; designing air gun working parameters and an air gun array; according to the sea area environment parameters, the air gun working parameters and the air gun array, calculating the bubble radius, bubble volume, bubble pressure, bubble heat loss rate, gas release rate, bubble volume change rate and bubble temperature change rate at each moment; and calculating the pressure signal generated by bubble oscillation at any point in seawater at each moment. The application introduces a non-ideal gas thermodynamic state equation on the basis of a traditional bubble dynamics model, and considers the evolution mechanism of the whole process of bubble generation, expansion, contraction and the like based on the unified bubble theory, so that the sound wave wavelet signal generated by the air gun under the actual working environment is more accurately simulated, and the accuracy and adaptability of wavelet modeling and inversion in seismic exploration are improved.

The invention discloses a numerical calculation method and system for turbulent combustion difference diffusion of mixed multiple fuels, and belongs to the field of turbulent combustion numerical simulation. Comprising the following steps: establishing a small flame table based on a one-dimensional hedging flame equation, parameterizing a thermodynamic state space into a function of a mixed fraction and a reaction process variable through a mapping algorithm, deducing a difference diffusion term of a multi-fuel component, and establishing and solving a difference diffusion double-equation small flame model control equation suitable for the multi-fuel component under a large vortex simulation framework; discretizing the processing model and coupling a pressure-velocity field; in the process, the same method is used for comparing a small flame model simulation result which does not consider the difference diffusion effect so as to highlight the influence of the difference diffusion effect. According to the method, a difference diffusion two-equation model is expanded to a multi-fuel mixing working condition, dual-fuel turbulence diffusion flame of hydrogen-ammonia mixing combustion is taken as an example, the mass fraction and temperature distribution of main components are compared through a prior method and a posterior method, and the influence of the difference diffusion effect is quantitatively analyzed.

The embodiment of the application provides a kind of compressor performance prediction method, device, electronic equipment and storage medium, belong to compressor control technical field.The method comprises: obtaining the thermodynamic state parameter of target compressor under a plurality of preset operating test conditions;Wherein, the thermodynamic state parameter includes the operating parameter of target compressor under the condition of blocked flow;Based on the thermodynamic state parameter, the normalized flow coefficient corresponding to the target compressor is constructed;Based on the normalized flow coefficient, a characteristic relationship curve is constructed to obtain a normalized characteristic relationship curve;Obtain the target operating parameter of target compressor under target condition, based on the target operating parameter and the normalized characteristic relationship curve, performance analysis is carried out, and the target performance information of target compressor under the target condition is obtained.The embodiment of the application can better quantitatively analyze the performance of compressor.

This invention relates to the field of additive manufacturing technology and discloses a real-time thermodynamic prediction method for SLM (Synthetic Manufacturing Process) based on tensor computation and artificial intelligence. The method collects historical thermodynamic data within a preset time period of the SLM manufacturing process to construct a historical thermodynamic tensor; performs tensor decomposition on the historical thermodynamic tensor to separate core feature components and generate a dynamic evolution tensor accordingly; defines a multidimensional thermodynamic state space using the dynamic evolution tensor, and selects a set of thermodynamic early warning indicators by evaluating the degree of aggregation of historical abnormal events in this space; extracts real-time feature components from real-time monitoring data to form a real-time state tensor, and performs tensor similarity measurement with the early warning indicator set in the multidimensional thermodynamic state space to derive a real-time risk value; finally, establishes a thermodynamic prediction model based on the real-time risk value, core feature components, and dynamic evolution tensor, outputs the thermodynamic state prediction results of the SLM process in real time, and generates operation adjustment commands.

The application discloses a kind of for the calculation method of energy in engine combustion process, comprising the following steps: according to actual working condition to determine reference environment and the thermodynamic state of system;Then check thermodynamic database and calculate the entropy and the chemical potential of initial time, and set initial solving step;According to combustion reaction path, combustion chemical reaction is classified;According to non-equilibrium thermodynamics method, four kinds of irreversible loss of combustion process, thermal mechanical and fuel are obtained by Chemkin to calculate the state parameter at time, and the entropy at this time is calculated according to thermodynamic database;The total loss in the classical thermodynamic method is calculated, and the total loss is verified reasonably.The application is based on open source Open FOAM platform, not only can meet the solving calculation of internal combustion engine combustion process, but also can be used for any existing chemical reaction thermodynamic system, and is suitable for different types of fuel.

The application provides a mixed working medium evaporation enthalpy prediction method and a parameter calibration method of a prediction model, and relates to the technical field of thermodynamic property calculation. The prediction method comprises the following steps: obtaining the saturated gas phase temperature of a mixed working medium to be measured, and the molar fraction of each pure component contained in the mixed working medium to be measured; obtaining the characteristic thermodynamic state point parameters of each pure component contained in the mixed working medium to be measured, and a model coefficient determined in advance; determining the evaporation enthalpy of the mixed working medium to be measured by using an evaporation enthalpy prediction model based on the saturated gas phase temperature, the molar fraction, the characteristic thermodynamic state point parameters and the model coefficient; wherein the evaporation enthalpy prediction model characterizes the evaporation enthalpy of the mixed working medium as a power function of a comparison temperature term, and the exponential term of the power function is a function term containing the molar fraction explicitly; the comparison temperature term is the ratio of the saturated gas phase temperature to a reference temperature, and the reference temperature is determined by weighting the characteristic thermodynamic state point temperatures of each pure component based on the molar fraction.

The invention relates to the technical field of industrial process control, and discloses a molten iron silicon content real-time intelligent regulation and control method based on edge calculation, which comprises the following steps: firstly, in an off-line stage, constructing a thermodynamic constrained variational auto-encoder model, learning a low-dimensional thermodynamic state manifold for describing an internal mechanism of a process from high-dimensional historical data, and calculating the scalar curvature of the manifold to quantify the local stability of each working condition. And then, in an online tracking stage, a curvature-adaptive particle filtering algorithm is operated at an edge node, and process noise is dynamically adjusted according to the curvature of the current state, so that robust tracking of the molten iron state is realized. And finally, in an intelligent regulation and control stage, a model prediction control framework is adopted in a central controller, and geometric risk items are innovatively introduced into a cost function of the model prediction control framework. According to the method, the unstable working condition is avoided by guiding the operation track, and accurate control over key quality indexes and active maintenance of the overall stability of the production process are achieved.

The embodiment of the invention provides a laser welding parameter optimization method and system for an aerosol can welding seam, and relates to the technical field of aerosol can welding parameter optimization. The method comprises the steps that thermodynamic state data of a weld pool of a weld joint in the aerosol can production welding process are collected in real time; dynamically quantifying a deviation signal of a welding state based on a preset reference thermodynamic template and the thermodynamic state data acquired in real time; and based on the deviation signal, closed-loop feedback adjustment is conducted on the laser welding parameters in the production welding process. By means of the method and device, the problem that welding parameters cannot be dynamically adjusted is solved, and then the effect of improving the welding quality is achieved.

The invention relates to a method and a device for predicting the aerodynamic performance of a supercritical carbon dioxide turbine by considering the influence of cooling gas, and the method comprises the following steps: S1, building an initialization model of a cooling shaft end, creating grid division, and inputting parameters; s2, according to the flowing heat absorption process of the cooling air at the cooling shaft end, the thermal state of the cooling air reaching an impeller inlet is calculated; s3, calculating the thermal state of the mixed working medium according to the thermal state of the mainstream working medium at the outlet of the turbine nozzle and the thermal state of the cooling gas reaching the inlet of the impeller, calculating the thermal state of the mixed working medium at the outlet of the impeller according to the thermal state of the mixed working medium and the structural parameters of the impeller, and calculating the total efficiency of the turbine; and S4, outputting a prediction result. According to the prediction method provided by the invention, the mixing effect of the cooling gas and the mainstream working medium at the impeller inlet is considered, the real aerodynamic performance of the turbine can be obtained, and unreasonable aerodynamic efficiency is avoided.

The invention relates to a stress control dynamic loading characterization method for molecular-scale mechanical behaviors of an asphalt material, which comprises the following steps: obtaining an initial configuration based on an asphalt multi-component test result; the atomic velocity is reconfigured according to the target temperature, so that the asphalt material system is in a preset thermodynamic state before loading; periodic sine stress is applied to an asphalt material system, each level of stress is sequentially subjected to short-time balance and data acquisition, stable stress-strain response is obtained in real time, and a response sequence is obtained; extracting a dynamic modulus through frequency domain transformation, and constructing a main curve according to a time-temperature equivalence principle; the amplitude of the stress is increased step by step, and dynamic modulus attenuation and energy dissipation are continuously monitored, so that the viscoelasticity and damage evolution stage is judged. Compared with the prior art, the mechanical response of an asphalt molecular system at different temperatures, loading frequencies and stress levels can be systematically and stably captured, and a solid theoretical basis and technical support are provided for asphalt material cross-scale mechanical modeling and performance prediction.

The invention discloses a pipeline and equipment wall thickness monitoring point distribution method based on a simulation technology, and the method comprises the following steps: S1, obtaining field process data; s2, a simulation mode is selected, and technological process simulation is carried out; s3, obtaining the property of an equipment outlet material through simulation, and determining whether the equipment needs to be provided with a monitoring point or not; s4, when the equipment needs to be monitored, setting the position of an equipment monitoring point; s5, determining whether the pipeline needs to be provided with a monitoring point or not according to the flow rate and corrosion rate of fluid in the pipeline; and S6, after the pipeline needs to be monitored, the position of a pipeline monitoring point is set. According to the invention, a process simulation system is utilized, and the fluid dynamics and thermodynamic states and key corrosion or erosion risk distribution of the whole production process are accurately simulated, so that a scientific, economical and efficient pipeline and equipment wall thickness monitoring point distribution method is realized. And production operation is optimized, the safety level is improved, and cost reduction and efficiency improvement are achieved.

The application is a liquid micro-leakage precision detection method based on liquid level pressure difference, and relates to the technical field of container leakage detection, comprising: removing outliers and smoothing filtering on the effective pressure difference time sequence to obtain an actual pressure difference sequence and a residual sequence, calculating an arithmetic mean and a standard deviation, and converting the standard deviation to obtain a pre-processed actual pressure difference sequence and a standardized theoretical pressure difference sequence.In the application, a thermodynamic quasi-steady state judgment mechanism can accurately identify the stable stage of the thermodynamic state of the container, avoid the influence of transient changes after pressurization on the detection result, and help shorten the detection period; through dynamic gas volume calculation and theoretical pressure difference decay sequence generation, the thermal expansion and cold contraction effect of the container and the liquid, the gas-liquid two-phase equilibrium, and the atmospheric pressure fluctuation and other factors are comprehensively considered, and the pressure difference change law under the condition of no leakage can be accurately simulated.

This invention relates to the field of data processing technology and discloses a closed-loop control method for a joint motor with multi-error coupling. The method includes: acquiring multi-dimensional heterogeneous data within the joint and aligning it in the time domain to construct a system state observation vector; executing an energy integration algorithm based on the vector to calculate the liquefaction rate parameter reflecting the physical state of the phase change material; calculating the dynamic viscosity of the lubricating oil using temperature data and constructing a thermal-fluid coupling model to solve for the real-time physical backlash value affected by temperature and viscosity; mapping the real-time physical backlash value and the liquefaction rate parameter to a motion control algorithm to generate a current loop control command containing multi-source error compensation components; and generating a pulse width modulation signal to drive the joint motor according to the command. This invention achieves joint decoupling of thermodynamic state and mechanical error through energy state observation and thermal-fluid coupling modeling, solving the problems of blind spots in heat dissipation monitoring and thermal drift of errors, and improving position tracking accuracy and dynamic response performance.

This invention discloses a method for predicting the surface morphology and dynamic behavior of materials under laser irradiation, belonging to the field of laser surface processing technology. The method includes: determining the parameters of the target material, the laser source parameters, and the geometric dimensions of the target material; determining the energy deposited onto the target material using Beer-Lambert's law; updating the thermodynamic state of free electrons using the generalized finite difference method based on a dual-temperature model; simulating the ablation and evaporation phase transition processes of the material using thermoelasticity governing equations; and simulating the flow and cooling solidification processes of the molten pool using fluid dynamics and nucleation kinetics equations, thereby achieving the prediction of the surface morphology and dynamic behavior of materials under laser irradiation. This invention uses the above method to construct a simulation model of the ablation and removal process of material surfaces under laser irradiation, providing theoretical support and computational tools for accurately predicting the surface morphology and dynamic behavior of materials.

This invention relates to the technical field of EPP (expanded polypropylene) production and manufacturing, and discloses a method for optimizing EPP foaming process parameters. The method includes: real-time monitoring of temperature and pressure changes to determine whether the thermodynamic state deviates from a preset window; constructing a multi-physics field coupling model to assess the risk of dynamic imbalance in bubble growth when deviation occurs; identifying the characteristics of non-uniform micropore distribution through multi-source sensor data fusion and frequency domain analysis; determining whether to globally coordinate and control process parameters based on risk and characteristics; analyzing the effects of heat transfer and thermal radiation from temperature control units; quantifying parameter adjustment sensitivity; and determining control priorities. The system includes modules such as thermodynamic monitoring and dynamic coupling analysis. This invention enables real-time monitoring, precise analysis, and intelligent control of the EPP foaming process, improving process stability and product quality, and is suitable for the field of EPP production and manufacturing.

The embodiment of the invention provides a compressor performance prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of compressor control. The method comprises the following steps: obtaining thermodynamic state parameters of a target compressor under a plurality of preset operation test conditions; wherein the thermodynamic state parameters comprise operation parameters of the target compressor under the blocking flow working condition; constructing a normalized flow coefficient corresponding to the target compressor based on the thermodynamic state parameters; constructing a characteristic relation curve based on the normalized flow coefficient to obtain a normalized characteristic relation curve; and target operation parameters of a target compressor under the target working condition are obtained, performance analysis is carried out on the basis of the target operation parameters and the normalized characteristic relation curve, and target performance information of the target compressor under the target working condition is obtained. According to the embodiment of the invention, the performance of the compressor can be better quantitatively analyzed.

This invention provides a method and apparatus for solving key thermodynamic coefficients of a boiler during secondary frequency regulation. Based on the thermodynamic parameters at the beginning and end of the boiler, the thermodynamic state variables of the entire counter-current heat exchanger model are calculated. Inputs include the main steam valve opening value, coal feed rate, air supply rate, feedwater flow rate, feedwater temperature, and feedwater pressure. Initial iterative values ​​for the key coefficients of the current heat exchange system are set. The initial and end thermodynamic parameter values ​​are compared with the iterative results, and iterative corrections are performed. After iterative convergence, the correlation coefficients of the boiler's thermodynamic characteristics during secondary frequency regulation are obtained. This invention solves the problem that existing methods for secondary frequency regulation fail to reflect multiple operating conditions by ensuring that key thermodynamic characteristic parameters of boilers under supercritical operating conditions are adequately reflected.

The invention relates to the technical field of equipment control, in particular to an automatic equipment precision assembly control device based on AI vision, which comprises an image sequence acquisition module for synchronously acquiring a high-frame-frequency infrared temperature field sequence of an assembly contact area in an assembly execution process; the data analysis module is used for extracting characteristic parameters reflecting thermodynamics and dynamics of the assembly process based on the high-frame-frequency infrared temperature field image sequence; the abnormity identification module is used for evaluating the thermal state stability of the current assembly process based on the combined characteristic parameters and identifying whether an abnormal thermal mode exists or not; and the control instruction generation module is used for determining a process intervention instruction for guiding the thermal process to evolve to a target state based on the real-time evolution trend of the abnormal thermal mode and a preset target thermodynamic state if the abnormal thermal mode is identified. According to the method, real-time visualization of thermal events caused by friction and plastic deformation in the assembly process is achieved by collecting the high-frame-frequency infrared temperature field image sequence of the assembly contact area.

The invention relates to the technical field of friction stir, in particular to a friction stir welding digital model construction method, which comprises the following steps of: establishing a difference value sequence by collecting original data such as coaxial point position temperature, axial thrust and transverse displacement, strengthening cross fusion expression of multi-physical field indexes among nodes, and establishing a multi-physical field model; by extracting the included angle difference value of the middle section nodes and screening the key section of spatial direction change, the graph neural network is utilized to propagate the connection relation between the nodes and optimize the structural expression, the structural recognition capability of welding path mapping is enhanced, and the welding path mapping accuracy is improved. According to the method, the dynamic characteristics of the path can be accurately mapped according to the change degree of thermal power, coupling coding and information fusion are carried out on multi-dimensional physical quantities of thermal power, displacement and angle, whole-process mapping from original process data to welding path structure evolution and control parameter extraction is achieved, and the structural robustness of path prediction and the sensitivity of parameter control are improved.

The invention discloses a method and system for controlling the water level of a steam generator when a pressurized water reactor is started. According to the method, operating parameters are collected for thermodynamic state decoupling, and the feed water supercooling degree and the secondary side net heat flux are obtained; accordingly, a cavitation collapse index is constructed to quantify the volume shrinkage risk, and the dynamic slippage amount is calculated to construct an asymmetric control dead zone. The effective control deviation is reconstructed in the dead zone, and a final valve instruction is calculated in combination with gain scheduling based on the cavitation collapse index and a correction type feed-forward strategy. According to the method, the problem of control oscillation caused by false water level and inverse dynamic effect in the starting stage is effectively solved, misoperation is shielded through dead zone logic, and the system stability and operation safety under the low-power working condition are remarkably improved.

This invention provides a pressure balance control method, apparatus, and system for compressible multiphase flow. The method includes calculating the flux and non-conservative terms contributing to adjacent cells through the interface based on the flow field states on both sides of the mesh interface, thereby updating the conserved quantities of each mesh cell. For each mesh cell, based on the characteristics of the state equations of each phase and the updated conserved quantities, an adaptive pressure solution path is selected to obtain an intermediate pressure value. Constraints based on the reference pressures of each phase are introduced onto the intermediate pressure value to output a corrected cell equilibrium pressure. The cell equilibrium pressure is used to update the thermodynamic state variables within the cell to advance the flow field calculation. This invention addresses the technical problem of global computational collapse caused by the lack of physical constraints in the pressure balance solution process under extreme conditions in existing numerical simulation methods for compressible multiphase flow, leading to the generation and diffusion of non-physical processes.