322 results about "Rheology" patented technology

The invention discloses a self-adaptive grouting control plugging method based on mining-induced fracture real-time monitoring, and relates to the technical field of mine safety engineering and hydrogeology. Through cooperative work of the grouting mechanism, the data monitoring system, the data collecting and processing module and the self-adaptive control module, automation and intellectualization of grouting protection can be achieved, and through introduction of the fracture roughness coefficient and the time-dependent viscosity, rough fracture flow resistance and grout rheology and time-varying characteristics are quantified, and the grout diffusion radius calculation error is reduced. The data weight is dynamically adjusted through a micro-seismic travel time residual error and sound wave velocity field joint inversion algorithm in combination with a weighted robust LM algorithm, and accurate fracture positioning is achieved. And a PID gain compensation and saturation function mechanism is adopted, so that self-adaptive safe and efficient grouting is realized. The fracture dynamic state is monitored in real time through the multi-source data fusion technology, grouting parameters are dynamically optimized in combination with an intelligent algorithm, complex geological interference is effectively restrained, slurry waste is reduced, and efficient and accurate plugging of mining-induced fractures is achieved.

The invention discloses a deep covering layer panel rock-fill dam rheological numerical calculation method considering the seepage effect. The method comprises the steps that firstly, contact deformation between a panel and a dam body is simulated; then simulating the unstable seepage process of the rock-fill dam and the foundation, and solving the seepage problem with a free surface; carrying out seepage-stress coupling calculation on the dam body material, and establishing a seepage-stress coupling control equation of the dam body material; carrying out seepage-stress coupling calculation on the overburden foundation, establishing a seepage-stress coupling control equation of the foundation, and finally obtaining a relationship among stress, strain and pore pressure to realize the seepage-stress coupling calculation; numerical simulation is conducted, and a concrete faced rockfill dam rheological numerical simulation result considering the seepage effect is obtained. The problems that in the prior art, the stress deformation rule of the concrete faced rockfill dam under the seepage-rheology coupling effect is not clear yet, and meanwhile, a seepage-rheology coupling calculation method is not perfect enough are solved.

The invention discloses a slurry flow velocity measurement method, device and system for a slurry pump, and relates to the technical field of slurry flow velocity measurement, and the method comprises the steps: employing an ultrasonic transducer to transmit an ultrasonic signal to a slurry pipeline and receive a reflection signal, and obtaining ultrasonic propagation data; constructing a slurry flow velocity profile model according to the ultrasonic propagation data, and calculating slurry flow velocity and solid phase concentration distribution based on the slurry flow velocity profile model; and based on the slurry flow velocity and the solid-phase concentration distribution, rheological correction is conducted by combining the slurry flow state, and the actual slurry flow velocity of the slurry pump is obtained. According to the method, the non-Newtonian characteristic and the solid-phase migration effect of the slurry are considered in the measurement process, a rheological parameter dynamic correction mechanism based on the Reynolds number is established, and the measurement precision under the working conditions of high-sand-content and high-density slurry is improved compared with a traditional method.

The invention provides a grouting geology grading and construction parameter setting method based on rock mass permeability, and relates to the technical field of foundation engineering grouting construction.The method comprises the steps that the water permeability rate, fracture parameters (the number of independent unfilled fractures, the opening degree and the filling condition), ground stress and grout rheology data of a target hole section are obtained; calculating a grouted stratum grouting index (SGI) through the water permeability rate, the fracture number, the maximum equivalent fracture opening degree and the correction coefficient; the rock splitting strength is estimated in combination with the drilling condition; whether grouting is conducted or not is judged based on the SGI value, and the grouting starting water cement ratio, the grout changing strategy, the initial pressure and the pressure increasing strategy are dynamically adjusted; the grouting pressure is designed according to the stratum splitting strength, and the grouting termination condition is set in combination with the real-time flow-pressure data. Grouting parameters are optimized through quantitative grading and real-time data, experience dependence is reduced, the construction precision and efficiency are improved, the stratum adaptability is enhanced, and the engineering quality and the material utilization rate are ensured.

The present invention discloses a concrete intelligent material system, including a raw material detection module, which obtains aggregate data of sand and gravel aggregates in the raw materials of concrete; a concrete batching module, which is connected to the raw material detection module, obtains aggregate data of sand and gravel aggregates, and adopts a net slurry rheological threshold algorithm to obtain mixing image information; a ratio adjustment module, which is connected to the concrete batching module, obtains mixing image information, and adjusts the ratio of concrete to obtain ratio adjustment information; a feedback module, which is connected to the concrete batching module, and feeds back the ratio adjustment information to the concrete batching module. Through the above scheme, the present invention has the advantages of simple logic, accuracy and reliability, and has high practical value and promotion value in the field of concrete material management technology.

A method and system for additive manufacturing are provided herein. The method comprises depositing a structure material, by a nozzle (810), into a support material (808) by applying to the structure material such that the structure material flows through the nozzle. The structure material comprises a polymer and a rheological modifier. Depositing of the structure material is repeated as necessary to create an object (814). The support material is at least partially removed from object. In various examples, the method comprises varying a print parameter from a first portion of the object to a second portion of the object, moving the nozzle away from a previously deposited layer of the object when repositioning for deposition of a subsequent layer of the object, or a combination thereof.

The invention relates to the technical field of hydraulic structure service behavior analysis and computational mechanics, and particularly discloses a high arch dam deformation behavior fractional order numerical analysis physical and mechanical parameter inversion method and module. A viscoplasticity parameter inversion method is provided based on a Levenberg-Marquardt method by using rheological test data. Optimizing to obtain a to-be-inverted parameter sample combination by means of central composite design; constructing an elastic and viscoelastic parameter inversion objective function in combination with deformation in-situ monitoring data; based on a multiple-input-multiple-output support vector machine, establishing an elastic and viscoelastic parameter inversion agent model; a random inertia weight, an asynchronous change learning factor, golden sine disturbance and differential evolution variation disturbance are introduced to improve a particle swarm algorithm, so that a parameter optimal inversion value search strategy is established. The method aims at improving the accuracy and objectivity of numerical analysis of the deformation state of the high arch dam, provides technical support for in-service engineering safety monitoring and dangerous case early warning, and has wide application prospects and markets.

Disclosed are exemplary methods for rheologically controlling a metal amalgam by including non-refractory filler particles (e.g., non-refractory metal filler particles, etc.) for processing and reliability enhancement as a thermal interface material. An exemplary method may comprise rheologically controlling a metal amalgam including filler particles (e.g., non-refractory metal filler particles, etc.) for use as a thermal interface material without sacrificing thermal conductivity and while maintaining rheology and spread control (e.g., limiting or preventing material migration, etc.) when pressed between two substrates. An exemplary method may comprise using non-refractory (not corrosive resistant) filler particles (e.g., non-refractory metal filler particles, etc.) to achieve a stable homogenous metal amalgam suspension with viscosity control based on total filler particle loading without sacrificing thermal performance for thermal interface material applications. The rheology controlled metal amalgam may be used as a thermal interface material between a heat source and another component of an electronic device.

The invention relates to the technical field of magnetic material injection molding, and discloses an injection molding magnetic powder orientation optimization method and system based on rheology-magnetic field coupling. The method comprises the following steps: deploying a distributed sensing network at key positions of a mold runner and a mold cavity, and synchronously capturing dynamic viscosity change gradient and magnetic field intensity space distribution of a melt in real time in a filling process. The captured data are input into a multi-physics field coupling simulation engine based on micromechanics, an instantaneous orientation vector field of the magnetic powder in the cavity is obtained through calculation, then an orientation order degree topological graph is constructed through tensor analysis and an image algorithm, and a weak orientation area and the boundary of the weak orientation area are accurately recognized. And finally generating a composite regulation and control instruction of the magnetic field and the injection parameters according to an identification result. According to the method, online diagnosis and active compensation regulation and control of the orientation state of the magnetic powder can be realized, and the orientation uniformity and consistency of the injection molding magnet are improved.

The present invention discloses a rockfill material testing device, characterized in that it comprises a container, a permeable bottom plate, a permeable top plate, a circular cylinder, a pressurizing mechanism, a measuring mechanism and a control system; the outer diameters of the permeable bottom plate and the permeable top plate match the inner diameter of the circular cylinder, the permeable bottom plate is placed at the bottom of the container, and the permeable bottom plate, the circular cylinder and the permeable top plate form a space for accommodating the rockfill material; the pressurizing mechanism is used to apply a downward test force to the permeable top plate; the measuring mechanism is used to measure the displacement and test force of the permeable top plate; the control system communicates with the measuring mechanism and the pressurizing mechanism respectively, and is used to receive and process data obtained by the measuring mechanism, and control the pressurizing mechanism. The present invention also relates to a rockfill material testing method. The test device provided by the present invention can be used to study the wetting characteristics of the rockfill material under axial stress state and the softening characteristics under long-term immersion state, and finally obtain the wetting constitutive model parameters and uniaxial rheological model parameters of the rockfill material under uniaxial stress state.

The invention discloses a polymer shear degradation evaluation method based on an FENE-P model, and belongs to the field of polymer turbulence drag reduction. The method comprises the following steps: carrying out a polymer degradation influence factor experiment based on a polymer degradation loop experiment device, and calculating a degradation rate; carrying out a viscous shear rheological experiment aiming at solutions at different degradation stages; fitting rheological experiment data, and establishing a rheological equation; determining viscoelastic parameters in the FENE-P model, correcting a momentum equation and a molecular deformation transport equation, and compiling a related UDF file; loading the UDF file into a source item, a transient item and a convection item of a fluid domain of FLUENT software, and changing relevant viscoelastic parameters of an FENET-P model to realize polymer fluid degradation flow field simulation; and analyzing the flow field information difference between the Newtonian fluid and the FENE-P solution, evaluating the shear degradation behavior of the polymer flowing from a macroscopic flow field to a microcosmic flow field, and explaining the shear degradation mechanism of the polymer. The method provided by the invention provides a theoretical basis for optimization of the polymer drag reducer in actual fluid turbulence transportation.

The invention discloses aspheric lens force rheological polishing equipment and a polishing method, and relates to the technical field of aspheric lenses, the aspheric lens force rheological polishing equipment comprises a polishing bottom box, an X-axis driving box is arranged at the bottom of the polishing bottom box, a polishing liquid circulating mechanism is arranged on the rear side of the polishing bottom box, and a lens clamping driving mechanism is arranged above the polishing bottom box; a flow channel embedding plate is fixedly installed at the bottom of the inner wall of the polishing bottom box, a plurality of front-back-through polishing solution restraining flow channels are formed in the top of the flow channel embedding plate, a plurality of liquid outlets penetrating through an inner cavity of the polishing bottom box are formed in the rear side of the polishing bottom box, and the multiple liquid outlets and the multiple polishing solution restraining flow channels are communicated in a front-back mode. According to the aspheric lens force rheology polishing device, through mutual cooperation of the multiple polishing solution constraint flow channels and the X-axis driving box, multi-station synchronous polishing treatment can be achieved, the number of lenses polished at a time is increased, the polishing efficiency is improved, and in addition, the invention further provides an aspheric lens force rheology polishing method.

The invention discloses a visual inspection and evaluation method and system for the sealing quality of a liquid crystal display, and the method comprises the steps: generating a multi-dimensional space-time state map of a sealing region based on the time sequence multi-mode image data of a sealing technology after the time sequence multi-mode image data of the sealing technology is obtained; performing time sequence dynamic feature analysis on the multi-dimensional space-time state atlas, and extracting behavior pattern features of the sealing glue curing process; inputting the behavior mode characteristics of the sealing glue curing process into the colloid rheology-thermocuring coupling inversion model, and outputting a process parameter deviation interval and a material state distribution diagram; establishing a dynamic statistical reference behavior pattern library; and finally, carrying out matching and deviation degree calculation on the current behavior mode characteristics based on a dynamic statistical reference behavior mode library, and outputting a sealing compound quality comprehensive evaluation report and a process tuning guidance suggestion in combination with a process parameter deviation interval and a material state distribution diagram. According to the invention, deep dynamic diagnosis and root process optimization of the sealing glue curing process are realized, and the accuracy and initiative of quality control are improved.

The invention belongs to the technical field of industrial coating engineering and automatic control, and relates to a steel member surface coating thickness control system based on machine vision, which is characterized in that electromagnetic characteristics of a liquid coating are sensed in real time through a dielectric parameter detection module; the rheological and dynamic behaviors of the coating are analyzed by utilizing a microdynamics measurement module and combining impact force sensing and structured light imaging; a direct measurement result of the machine vision module on the three-dimensional morphology of the coating is fused, and the information and the pose data of the spray gun are synchronously packaged into a physical state vector by means of a multi-source data fusion module; matching an optimal strategy through a collaborative decision control module, and generating a control instruction; and finally, a controlled fluid resonance perturbation field is formed in the jet flow, so that in-situ and self-adaptive regulation and control of the coating deposition process are realized. The method solves the problems that a traditional spraying process lacks real-time, quantitative and self-adaptive control capability on the coating deposition process and guarantees the coating thickness uniformity and the process stability.

A fluid flows through a flowmeter system including a first conduit, a U-bend, and a second conduit. Various differential pressures of the fluid flowing through the flowmeter system are measured. The differential pressures of the fluid are measured by various pressure sensors (for example, differential pressure sensors) installed on the flowmeter system. Rheology of the fluid is characterized by performing calculations using the measured differential pressures of the fluid and relative positions of the pressure sensors throughout the flowmeter system.

The invention provides a wall-fixing leakproof water-based drilling fluid for a myriameter deep well as well as a preparation method and application thereof, and belongs to the technical field of drilling fluids. The water-based drilling fluid is prepared from the following raw materials in parts by mass: 100 parts of water, 1-2 parts of sodium bentonite, 0.5-1 part of a salt response rheological modifier, 5-6 parts of a supramolecular polymer filtrate reducer, 6-8 parts of a cementing plugging agent and 2-4 parts of a cementing wall-fixing agent. The water-based drilling fluid can resist the temperature of 220 DEG C, can resist the salt to be saturated, has good rheology and filtration performance and multiple functions of inhibition, plugging, wall fixation and the like under high-temperature and high-salt conditions, and provides technical guarantee for smooth drilling of myriameter extra-deep wells.

Printing paste, in particular for the production of three-dimensional screen-printed workpieces, comprising a solid, at least one monomer, a photoinitiator and at least one rheology additive, wherein the solid comprises at least one metallic material and wherein the mass fraction of the solid is at least 50%.

The invention relates to a solid waste based material 3D printing forming control system and a control method thereof.The solid waste based material 3D printing forming control system comprises a data acquisition module, the output end of the data acquisition module is electrically connected with a material proportion optimization module, and the output end of the material proportion optimization module is electrically connected with an edge calculation processing module; and the output end of the edge calculation processing module is electrically connected with a printing control module. Full-process intelligent control is achieved through cooperation of multiple modules, the system adopts a high-precision sensor network to monitor material state parameters in real time, the material ratio is dynamically optimized in combination with a machine learning algorithm, raw material fluctuation and environment change are effectively adapted, quick response is achieved through edge calculation, and the system is high in practicability. The process parameters are quickly adjusted based on a rheological model and an anomaly detection technology, so that the printing size deviation is reduced, and a closed-loop feedback mechanism continuously optimizes a control strategy through three-dimensional scanning comparison and quality evaluation, so that the quality comprehensive score of subsequent similar printing tasks is improved.

The present invention relates to a method for calculating the molecular weight of biomacromolecule materials based on AI algorithms. After some biopolymer materials are dissolved into aqueous solutions, it is difficult to form single molecular chains. The present invention selects an ionic liquid as the dissolution system. After the macromolecule materials are dissolved, they can well form single molecular chains, and then rheological methods are used to test the rheological data of the biomacromolecules dissolved in the ionic liquid. The present invention selects the Rouse model as the polymer solution model. By measuring a large amount of data, the model is trained with AI algorithms and non-linear fitting is carried out to obtain the key parameter values, so as to calculate the molecular weight value of the measured materials. This calculation method has the characteristics of accuracy and rapidity, and can be well promoted to the computer research field of polymer materials.

This invention relates to the field of joint sealant materials, specifically to a non-sagging joint sealant material for facades and its preparation method. The non-sagging joint sealant material comprises component A, containing polyether polyol, and component B, containing isocyanate, with a mass ratio of component A to component B of 1.5:1. Component A includes the following components: polyether polyol A, polyether polyol B, filler, chain extender A, chain extender B, light stabilizer, antioxidant, catalyst, reinforcing agent, defoamer, rheology modifier A, rheology modifier B, and dispersant. Component B includes the following components by weight percentage: polyether polyol A, liquefied MDI, defoamer, rheology modifier A, and rheology modifier B. This invention uses fumed silica as a reinforcing agent, which increases both strength and thixotropy of the material, effectively preventing sagging.

The invention discloses a cross-scale structure-material rheology detection system, which belongs to the technical field of biomedical engineering, and realizes cross-scale geometric imaging by combining optical coherence tomography and laser scanning confocal or fluorescence imaging common optical path design. Geometric-mechanical synchronous observation and analysis of in-situ real-time monitoring and cross-scale synchronous monitoring of stress and strain of a multi-scale structure are supported; the biological 3D printing based on the six-axis robot supports in-situ printing on a rheology detection platform, so that a standardized rheology detection model of a bionic tissue inherent structure is constructed, and automatic and high-throughput bio-ink geometry-mechanics synchronous observation is supported; a multi-physics field coupling measurement model in a dynamic microenvironment is constructed, and a printing structure-material mechanics coupling mechanism is analyzed based on a rheology-structure data quantitative mapping model of deep learning. The system is based on rheology detection of the structure, and the theoretical and technical limitations of multi-scale structural mechanical property monitoring are solved.

The invention relates to the technical field of general control or regulation systems, and discloses a closed-loop optimization control system for a waste lithium iron phosphate material recovery process, and the system comprises a reaction heat flow calculation module which is used for generating a thermodynamic state track representing a reaction process; and the state consistency arbitration module is used for generating rheological state tracks representing the physical form of the slurry in parallel, carrying out real-time arbitration on the consistency of the two tracks so as to judge the credibility of the thermodynamic state track, and intervening the operation of the adjusting module according to the credibility, so that the reliability of the thermodynamic state track is improved. According to the method, a cross validation mechanism from different physical dimensions is established, so that the control system can confirm the credibility of the core control basis in real time before executing the regulation instruction, the control system is prevented from making wrong regulation actions when a single information source has silent failure, and the regulation efficiency is improved. Therefore, the robustness and decision security of the system are improved.

This invention discloses a method for evaluating the formability of reversible cross-linked self-healing 3D printing ink, belonging to the technical field of 3D printing material evaluation methods. This invention utilizes an extrusion 3D printer to print multi-layer scaffolds. By comparing the printed physical scaffolds with scaffold models based on finite element simulation, it analyzes collapse and fusion. Combined with the evaluation of the roundness of the fused scaffolds and the shape changes of the scaffolds after collapse, it constructs an evaluation method suitable for the formability of reversible cross-linked self-healing colloidal gel inks in 3D printing. It includes quantitative calculation methods for ink rheological properties, visualized deformation, and formability, applicable to the evaluation of various reversible cross-linked self-healing inks.

The present invention discloses a method for optimizing the design of a rubber and plastic extrusion die, which sequentially completes the flow balance optimization design and geometric precision optimization design of the extrusion die, and calculates the optimal solution for the geometric precision of the extrusion die; first, the material rheological model and its parameters are determined by fitting experimental data; then, a finite element model of in-die flow is established, and a flow balance optimization design method is adopted to obtain the optimal solution for flow balance and the flow balance design space; then, in-die and out-die flow finite element models are established with the optimal solution for flow balance, and the validity of the finite element model is verified by experiments; finally, based on the finite element models of in-die and out-die flow verified by experiments, a geometric precision optimization design method is adopted to obtain the optimal solution for geometric precision. The present invention fully combines the high efficiency of the flow balance optimization design method and the high precision of the geometric precision optimization design method, and significantly improves the geometric precision of the extruded product on the basis of achieving die outlet flow balance.

The invention provides a visualized rheological test device and method for a hydraulic-stress-temperature coupling effect, and belongs to the field of stability research of geotechnical materials under a multi-field coupling effect, and a visualized hydraulic-stress-temperature multi-field coupling test system is mainly composed of a control system, an acquisition system and a loading system; the hydraulic-stress-temperature coupling test of the geotechnical material can be completely carried out, the influence of influence factors such as hydraulic power and temperature on the mechanical property of the geotechnical material in the loading and unloading process can be deeply researched, and an image and a strain field of fracture evolution of the geotechnical material in the whole process in the test can be recorded through an industrial high-speed camera; the interaction and mutual influence rules among the stress field, the seepage field and the temperature field and the fracture mechanism of the geotechnical material under the action of multiple fields are disclosed.

The present application relates to the technical field of oil and gas production, and specifically discloses a drilling fluid and a preparation method thereof. A drilling fluid, the raw materials of which include: 30-50 parts of coconut oil heptyl ester derivative; 20-30 parts of glyceryl stearate; 20-30 parts of capric triglyceride; 15-20 parts of octadecyl paraben; 10-20 parts of polystyrene-coated paraffin microcapsules; 5-10 parts of calcium chloride; 1-5 parts of emulsifier; 1-5 parts of lightener; 1-5 parts of fluid loss reducer; 10-20 parts of water. The drilling fluid of the present application has strong low temperature resistance and good rheology, and is suitable for oil and gas drilling work under low temperature conditions.

The application discloses a material formula optimization method and system based on rheological data and machine learning. The application takes rheological characteristics as the input of a machine learning model to optimize material parameters, formula variables and process parameters of a polymer. The method of the application does not directly statistically correlate a physical response with material variables, but embeds an intermediate layer based on basic polymer physics principles and rheological theories for connecting the bottom layer and the top layer of structure variables and responses, and realizes integration and prediction modeling of the three layers based on a rheological data set.

This invention discloses a method for preparing a three-phase slurry using carbon dioxide mineralization and solid waste grading, comprising: pretreatment and precise supply of coal-based solid waste raw materials; intelligent prediction of grading and batching; preparation of primary slurry; preparation of secondary slurry; pressurized CO2 three-phase mineralization reaction; and depressurization, stabilization, and storage of the mineralized slurry. The three-phase slurry preparation system using carbon dioxide mineralization and solid waste grading includes a raw material storage and supply unit, a primary slurry preparation unit, a secondary slurry preparation unit, and a CO2 mineralization reaction unit connected in sequence. The method and system for preparing a three-phase slurry using carbon dioxide mineralization and solid waste grading employs multi-solid waste grading, using a combination of coarse and fine particles in slurry preparation and coal slime as a rheology modifier to regulate the shear-thickening and swelling plasticity characteristics of pure coal gangue slurry into a shear-thinning pseudoplastic three-phase slurry, significantly increasing slurry density and reducing viscosity and transportation energy consumption.

The present application relates to food processing control technical field, disclose a kind of chili sauce processing multi-equipment linkage program control system and method, system includes: main control module, crushing module, boiling module, auxiliary material module and filling module.Estimating unit extracts stirring electrical parameter and calculates equivalent rheological resistance gradient, combined with heating parameter to calculate compensation type effective evaporation enthalpy change index.Scheduling unit compensates crushing frequency according to the slope of resistance gradient in the early stage of boiling;Relaxation time is extracted using step pulse response to modify enthalpy change index in the moisture evaporation stage;Resistance gradient and enthalpy change index are two-dimensionally mapped to trigger auxiliary material handover, and heating opening is limited using mechanical heat equivalent;Before discharging, build cooling observation window to obtain heat-sensitive coupling coefficient, and accordingly grade adjust pipeline heat tracing and filling servo parameters.The present application converts electrical and thermal parameters into material rheology and enthalpy state, realizes cross-process adaptive collaboration of whole processing flow, and improves product consistency.

Printing paste, in particular for the production of three-dimensional screen-printed workpieces, comprising at least one solid, at least one solvent and at least one rheology additive, wherein the solid comprises at least one ceramic material and / or at least one non-metallic material and wherein the mass fraction of the solid is at least 25%.