17 results about "Phase diagram" patented technology

Methods and systems are disclosed to assess clogging associated with a first well. The first well has a well screen or an open borehole in bedrock. A water sample is received from the first well during an ON state. Water is pumped from the first well during the ON state. A first oxidation reduction potential measurement and a first pH measurement are made on the water sample. First clogging specific information is determined for a first mineral or metal utilizing the first oxidation reduction potential measurement, the first pH measurement, and an Eh vs pH phase diagram for the first mineral or metal.

The application discloses a kind of deep coal seam CO2 foam fracturing parameter optimization methods based on phase state regulation, first, build the wellbore flow heat absorption model fusing fluid residence time, mixed heat capacity and formation heat transfer characteristics, accurately calculate well fluid temperature and pressure, according to the calculation result, using Span-Wagner state equation, in combination with carbon dioxide phase diagram determines well fluid real phase state, and carry out indoor true triaxial equivalent simulation experiment and sand-carrying performance experiment with this as boundary condition, according to the result fed back by experiment, by adjusting ground injection displacement and foam quality and other parameters, actively control well fluid phase state, to realize the fine regulation and control of reservoir reconstruction effect.The application can effectively eliminate phase state prediction deviation, realize the active regulation and control of well fluid phase state, significantly improve the fracturing reconstruction volume of deep coalbed gas and single well production.

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 proposes a spatiotemporally synchronized visualization measurement and analysis method, system, and device for flow-heat-phase. The method includes: acquiring a multimodal sensing dataset and performing spatial calibration and alignment; processing the aligned high-speed visual image to obtain a binary phase diagram, combining temporal information to identify and segment it, dividing and merging the liquid phase region, gas phase region, contact line region, and rewetting region to obtain a partitioned result map; identifying and fusing the infrared temperature image, binary phase diagram, and partitioned result map to output a spatiotemporally synchronized visualization measurement phase diagram for flow-heat-phase. By acquiring data to form a dataset and calibrating and aligning it, this invention achieves, for the first time, a precise spatiotemporally synchronized correlation of gas-liquid distribution, temperature field, and heat flow information; combining binary phase diagram generation, intelligent segmentation, and multimodal data fusion technology, it overcomes the limitations of traditional methods and can quantitatively analyze key physical processes under the interaction of multiple bubbles on complex surfaces; the final output phase diagram can reveal the coupling mechanism between the temperature field of the micro-region of the heated surface and the dynamic behavior of bubbles.

The application relates to an artificial intelligence generation method and system of a ferroelectric material component-temperature phase diagram, and the method comprises the following steps: acquiring a chemical formula of a ferroelectric material with a doping variable, and setting the chemical formula into a string form; setting the change range and step length of the doping proportion and temperature; processing chemical elements and the doping proportion in the chemical formula of the ferroelectric material with the doping variable in the string form to obtain a chemical formula numerical vector list; forming a temperature list according to the set change range and step length of the temperature, and performing normalization processing to obtain a normalized temperature list; based on the chemical formula numerical vector list and the normalized temperature list, performing merging and inputting into a pre-trained crystal phase transition artificial intelligence model to output a crystal structure type; and based on the crystal structure type, a component-temperature phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions is drawn. Compared with the prior art, the application has the advantages of automatically generating a component-temperature phase diagram.

This invention discloses a design method and apparatus for refractory high-entropy alloys based on a large model, relating to the field of alloy material design technology. The method includes: First, by generating and collecting data, pre-trained surrogate models for thermodynamics (covering phase diagrams, solidification processes, etc.) and mechanical properties are constructed, and calculation models for physical parameters such as valence electron concentration and density are established. Then, these models are integrated into a single ensemble model, and a large language model is introduced as the core of intelligent scheduling. The large model is responsible for parsing the design task, intelligently planning and calling the interfaces of each model based on a knowledge base and rule base. Finally, based on the set design objectives, a multi-objective genetic algorithm is initiated for iterative optimization and adaptive adjustment, efficiently outputting a final alloy design scheme that meets multiple performance requirements. This invention enables intelligent multi-objective design of refractory high-entropy alloys, solving the problem of high dependence on manual intervention.

The application discloses a mapping method based on double discrete memristor, and relates to the technical field of memristor, two new double-memristor hyperchaotic mapping models of isomorphic sine-sine discrete memristor SSDM mapping and heterogeneous sine-cosine discrete memristor SCDM mapping are constructed by using two periodic discrete memristors; the mapping has a plane fixed point, and stability distribution is divided according to the second characteristic root in the parameter and initial value plane; bifurcation behavior depending on coupling strength, coexistence extreme multistability controlled by the initial value of the memristor are studied by using a bifurcation diagram, Lyapunov exponent, phase diagram and local attraction basin; under the control of the memristor, coexistence infinite heterogeneous attractors are self-replicated along a straight line and a plane; numerical results show that the SSDM and SCDM mappings can not only generate highly complex hyperchaotic attractors, but also exhibit extreme multistability behavior controlled by the initial condition of the memristor distributed on a straight line and a plane.

The application relates to the technical field of temperature-pressure phase diagram modeling, and discloses a temperature-pressure phase diagram modeling method based on a Grover model, which comprises the following steps: S1: obtaining the thermal expansion coefficient, volume and isothermal bulk modulus thermodynamic data of a rare earth tantalate system under different temperature and pressure conditions; S2: respectively correcting the molar volume and the isothermal compressibility under standard atmospheric pressure, reducing the influence of excessive sensitivity of the heat capacity on the coupling relationship between the temperature and the pressure, so as to realize the correction of the Grover model; and S3: obtaining the Gibbs free energy change through the corrected Grover model state equation, and linearly superimposing the Gibbs free energy change and the Gibbs free energy under standard atmospheric pressure given by a thermodynamic database to obtain a temperature-pressure phase diagram model. The application can ensure the accuracy of the obtained Gibbs free energy, thereby ensuring stable modeling and ensuring the reliability of the phase diagram.

This invention discloses a method for controlling the phases of a Bi-Te-O ternary system, belonging to the field of two-dimensional semiconductor material preparation technology. Using Bi₂Te₃ and Bi₂O₃ powders as reaction sources, controllable growth is achieved on a mica substrate using CVD. By adjusting the growth temperature and system pressure to construct a pressure-temperature synergistic phase diagram, the growth windows for four different phases—elemental Te, Bi₂Te₃, Bi₂TeO₅, and Bi₂O₂Te—were determined and controlled. By utilizing the modulation of the vapor pressure and chemical potential of the precursors by temperature and pressure, the problem of low phase purity caused by differences in precursor reaction concentration and activity in the ternary system is solved, successfully preparing ultrathin two-dimensional Bi₂TeO₅ crystals with a thickness of 3.0–5.7 nm. The preparation method provided by this invention is simple and highly controllable, offering a new technological paradigm for the large-scale and precise preparation of complex ternary two-dimensional systems.

This invention provides a nickel-based superalloy with a γ+γ'' dual-phase microstructure and its preparation method. Based on a Nb–Ni–W ternary system, without the addition of other elements, the atomic percentages are: Nb: 14–20 at%; Ni: 75–81 at%; W: 1–6 at% (summing 100%). Through phase diagram calculations and atomic percentage conversion, a stable γ+γ'' dual-phase microstructure is directly formed during the solidification process of the alloy melting and as-cast sample. fcc(Ni) acts as the γ matrix phase, with the γ'' phase, i.e., the Ni₃Nb strengthening phase, precipitating internally, without the precipitation of harmful phases such as the Laves phase. The preparation method does not involve solution treatment or aging treatment; it only requires arc melting under a high-purity argon atmosphere followed by cooling to complete the preparation. This invention features a simple composition system, a significantly simplified process, and yields a uniform and stable microstructure.

The application discloses a kind of mining area nonlinear deformation monitoring method, equipment and medium.The method comprises: based on Boltzmann time function, function model of the change of mining area deformation variable with time is established;Deformation variable is S-type nonlinear deformation variable, including maximum settlement, maximum settlement velocity occurrence time and settlement rate coefficient;Establish nonlinear deformation observation model associated with characteristic parameters and unwrapping phase;Synthetic aperture radar image data of target mining area is obtained, and synthetic aperture radar image data is registered;Based on the synthetic aperture radar image data after registration, construct small baseline set interference network, process small baseline set interference network to generate unwrapping phase diagram;Unwrapping phase data in unwrapping phase diagram is substituted into deformation model, and S-type nonlinear deformation variable of target mining area is obtained by solving.The application improves the precision of mining area nonlinear deformation monitoring.