180 results about "Fluid viscosity" patented technology

The invention discloses a server mainboard regional distributed liquid cooling heat exchange adjusting method, which comprises the following steps of: acquiring a temperature parameter set and a power consumption parameter set of each monitoring region in real time, and generating a thermal load parameter feature vector; identifying a high heat load core area set according to the heat load parameter feature vector; generating a liquid cooling branch flow distribution instruction set based on the position distribution of the high heat load core area set; executing the liquid cooling branch flow distribution instruction set, and obtaining an adjusted temperature feedback parameter set; according to the deviation degree of the temperature feedback parameter set and the target temperature interval, dynamic feedback adjustment is carried out by applying the heat conduction compensation coefficient and the fluid viscosity-temperature compensation coefficient, and an updated liquid cooling branch flow distribution instruction set is generated. The method has the following advantages and effects that by sensing the thermal load space distribution characteristics of all areas of the mainboard in real time, cooling flow distribution is dynamically adapted, real-time compensation of the fluid viscosity-temperature effect is integrated, local hot spots are eliminated, and the heat dissipation effect is improved.

The invention relates to the technical field of industrial process automation control, and discloses an intelligent adjusting method for an industrial waste liquid low-temperature evaporation process, which comprises the following steps of: superposing pressure step test excitation to a vacuum adjusting valve, synchronously acquiring temperature response data flow, calculating absolute error integral and SIAE and reply time characteristics of a response curve, and calculating the temperature response data flow according to the absolute error integral and SIAE and reply time characteristics of the response curve; substituting into an inverse model to solve an equivalent process gain and a time constant of the controlled object; based on the internal model control principle, PID controller parameters are dynamically calculated and updated through the calculated gain and the time constant, a control law is reconstructed to generate an execution instruction, and the problem of control divergence of a non-linear time-varying object under model mismatch is solved through active energy feature identification and a pole assignment mechanism; decoupling control and self-adaptive adjustment of fluid viscosity sudden change and equipment scaling are achieved, and the stability and control precision of the system are improved.

The invention discloses a proportioning optimization method for efficiently balancing a chemical oil displacement system. The proportioning optimization method comprises the following steps: S1, collecting and sorting experiment and field data of the existing chemical oil displacement system; the oil displacement effect can be effectively improved by continuously optimizing the ratio of the chemical agents through experiments and numerical simulation, so that the recovery efficiency of an oil field is improved, the oil-water interface characteristics can be improved, the fluid viscosity can be reduced, the oil fluidity can be improved through the reasonable ratio of the chemical agents, and by analyzing the cost benefits of different ratios, the oil displacement effect can be effectively improved. The chemical agent combination with higher economical efficiency can be selected, the expenditure in the chemical oil displacement process is reduced, the oil displacement effect and cost are comprehensively considered, the resource utilization efficiency of the chemical oil displacement system is improved by optimizing the proportion, and it can be ensured that the selected proportion is not only theoretically effective but also theoretically effective through laboratory verification and on-site small-scale tests. And the method also has practical significance in practical application.

The invention provides a lubricating oil production multi-source data fusion analysis method which comprises the following steps: acquiring a stirrer rotating speed signal, acquiring pressure distribution data of a corresponding pipeline, and if the stirrer rotating speed fluctuation range exceeds a preset threshold range, marking that the stirring rotating speed is abnormal; analyzing the pressure distribution change of the pipeline when the stirring rotating speed is abnormal, combining the monitored viscosity change of the oil fluid and the difference of the oil circulating flow speed, and performing fusion calculation to obtain a shear stress distribution index in the pipeline; if the shear stress distribution index is abnormal, the suspension state of oil particles and the deposition rate of pollution particles are detected, and if the suspension state and the deposition rate exceed corresponding preset threshold values, the oil pollution diffusion degree is determined through the suspension state and the deposition rate; and identifying abnormal equipment according to the abnormal signal time sequence correlation, acquiring operation parameters of the abnormal equipment, synchronously analyzing to obtain equipment operation state coupling, analyzing equipment fault chain reaction characteristics, and generating an equipment chain abnormality distribution diagram according to the chain reaction characteristics.

The invention discloses a real-time monitoring method and system for the breakage rate and flow conductivity of a propping agent based on CT scanning. The real-time monitoring method comprises the steps that a CT scanner is externally connected to a quartz glass observation window of a flow guide chamber through a mechanical arm; performing initial scanning on the propping agent in the flow guide chamber through a CT scanner to obtain initial particle volume distribution and determine an initial volume and a minimum volume threshold value; setting the temperature and overburden pressure of the flow guide chamber, and injecting fluid through a constant-speed constant-pressure pump; cT dynamic scanning is triggered at a fixed time interval, and the real-time breakage rate is calculated; when the real-time breakage rate is larger than 5%, the pressure difference, the flow and the crack width are obtained; calculating the flow conductivity by combining the fluid viscosity and the length of the flow guide chamber; when the real-time breakage rate is smaller than or equal to 5%, returning to scan again; and when the pressure difference is greater than 5MPa, the experiment is automatically stopped. According to the invention, the three-dimensional image data in the experiment process can be rapidly obtained and processed and analyzed in real time, so that the measurement time is remarkably shortened, and the measurement efficiency is improved.

The invention discloses a BUB bubble conveying system for a semiconductor production process and a control method, and belongs to the technical field of bubble conveying control, and the method specifically comprises the steps: in a fluid conveying pipeline of the semiconductor production process, generating a bubble group through a bubble generator, and adjusting the bubble generation frequency and volume distribution based on a liquid impedance feedback signal, the flow velocity, pressure and bubble distribution parameters of process liquid are collected, a pre-trained flow field prediction model is used for analyzing the bubble gathering trend, when the transmission retardation risk is detected, the opening degree of a micro valve is automatically adjusted, a bubble path is shunted, and a micro-pulse air pressure signal is applied to the throttling section of the semiconductor production process fluid conveying pipeline. Dynamically matching the bubble rupture phase with the fluid viscosity, and switching to a reverse bubbling mode to perform self-cleaning on the pipeline when detecting that the bubble residue exceeds a threshold value; linkage regulation and control of the multi-node micro valve are achieved, and the uniformity, repeatability and safety of fluid conveying can be kept in long-term operation.

The invention relates to the technical field of fluid automation control, and discloses a quantitative filling oil way control method and system based on reinforcement learning, and the method comprises the steps: firstly generating a physical reference opening instruction based on a fluid mechanics model; calculating a rheological hysteresis factor to identify the viscosity characteristic of the fluid by superposing a micro-disturbance signal and analyzing the downstream pressure frequency response; and constructing a flow velocity adaptive state vector by adopting equal-volume interval sampling, and inputting the flow velocity adaptive state vector into the reinforcement learning network to output residual correction. Meanwhile, dynamic transmission time lag is calculated according to the rheological hysteresis factor and the real-time flow velocity, and time axis causal alignment of flow rewards and historical actions is executed. And finally, synthesizing the reference instruction, the correction amount and the micro-disturbance signal, driving the regulating valve after water attack suppression logic constraint, and executing end point braking at the tail section. The problems of time-delay matching and sample distortion under the long-pipeline variable-viscosity working condition are solved, and the quantitative filling precision and the system stability are improved.

The present invention relates to the technical field of fluid viscosity detection, and discloses a visual analysis-based non-contact viscosity detection system, which comprises: an acquisition module, which comprises a video acquisition unit and an environment acquisition unit, the environment acquisition unit is used for acquiring environment related data, and the environment related data comprises environment temperature and stirring rotating speed; the analysis module comprises a preprocessing unit and a model training prediction unit, and the preprocessing unit is used for preprocessing the dynamic video data; and the model training prediction unit is used for extracting spatial-temporal characteristics of the fluid from the preprocessed dynamic video data based on a deep learning model and performing viscosity prediction. According to the invention, high-precision and high-adaptability fluid viscosity detection is realized through non-contact video acquisition and spatial-temporal feature fusion analysis driven by deep learning.

The invention discloses a thickener dosing control method and system, and relates to mineral processing. The method comprises the following steps: acquiring concentration values measured by an ith concentration sensor at different depths at a moment t; obtaining the turbidity T of the overflow water, the effective viscosity of the overflow water or underflow, the volume fraction of fine particles and the volume fraction of coarse particles in the overflow water, the Zeta potential of the feeding end, the Zeta potential of the overflow end, the time derivative of the Zeta potential of the overflow end, the equivalent diameter d of the particles, the density of the particles, the density of the fluid and the viscosity of the fluid; calculating the effective settling velocity of the particle swarm; carrying out online correction on the effective settling velocity by utilizing a least square method or a Kalman filtering algorithm; performing time lag correction on the concentration values at different depths by using the corrected effective settling velocity; correcting the turbidity T of the overflow water according to the corrected concentration profile; respectively calculating a flocculant dosing rate and a coagulant dosing rate; according to the invention, accurate cooperative control of the dosing rate of the flocculating agent and the coagulant is improved through the artificial intelligence model.

The invention relates to the technical field of first-aid medical engineering and intelligent medical equipment, and discloses a digestive tract hemorrhage patient liquid resuscitation decision support system which comprises a thermal wave signal generation and infusion execution module, a distributed thermal dispersion perception and vascular stiffness resolving module, a multi-physics field coupling modeling module and a double-target game decision control module. By superposing a micro-amplitude thermal wave signal in resuscitation liquid, the system calculates a vascular stiffness parameter of a patient in real time based on a thermal dispersion principle; and predicting the shear stress of the wall surface of the blood vessel at different flow velocities by utilizing a temperature change viscosity and blood vessel elastic mechanics coupling model. In decision control, the system determines the target flow velocity according to the microcirculation perfusion requirement, and reversely solves the required fluid dynamic viscosity according to the shear stress safety threshold value, so as to dynamically adjust the basic temperature of the infusion fluid. The fluid viscosity is reduced through physical field intervention, the high-flow-rate resuscitation requirement is met, meanwhile, the shear stress of the wall face of the blood vessel is effectively restrained, and the rebleeding risk is reduced.

The invention relates to a fractured rock thixotropic fluid seepage diffusion path characterization method, and belongs to the technical field of geotechnical engineering. The method comprises the following steps: constructing a fractured rock mass network geometric model based on geological exploration data; constructing a fluid seepage constitutive equation according to the thixotropic fluid characteristic parameters; grid division is carried out based on the constructed fractured rock mass network model, a one-dimensional fluid seepage channel is assembled, and dimension reduction solving of a complex problem is achieved; fluid pressure and fluid seepage velocity parameters are obtained through iterative solution, and a fluid characteristic parameter change rule is updated in real time; and generating and outputting a fluid seepage diffusion behavior tracking result under a set working condition based on the simulation state quantity. Compared with the prior art, the method has the advantages that the complex fluid diffusion rule caused by the thixotropic fluid viscosity time-varying characteristic can be accurately described, the method is suitable for accurate characterization of the grouting diffusion path in geological engineering, and a scientific basis is provided for optimizing construction parameters.

The invention discloses a water injection effect prediction method and device, and belongs to the technical field of water injection effect prediction, and the method comprises the steps: constructing a steady-state flow equation according to the relation between fluid flow and pressure gradient and fluid viscosity and in combination with formation parameters; based on the steady-state flow equation, the cumulative yield of the crude oil, the viscosity of the crude oil and the formation pressure change relation of the elastic exploitation section, the boundary front edge position of the elastic exploitation section is determined; based on the steady-state flow equation, the accumulated water injection rate, the underground water viscosity and the conservation relation between the water injection rate and crude oil compression, a relation function between the boundary rear end position of the displacement section and the water injection rate is determined; based on the relation function, the water injection rate is calculated when the boundary rear end position of the displacement section is equal to the boundary front edge position of the elastic mining section, and the water injection effective time is determined according to the water injection rate. The water injection effective time can be quickly, simply and accurately solved according to the current water injection rate and oil yield.

The invention relates to the technical field of ocean engineering, in particular to a laboratory calibration method for reducing the flow velocity of a gravity anchor recovery force nozzle. The method comprises the following steps: S1, obtaining a field soil body needing gravity anchor recovery operation through a thin-wall soil sampler, and preparing a triaxial test sample; s2, calculating confining pressure and axial pressure according to field conditions; s3, the prepared sample is installed on a triaxial apparatus, the calculated confining pressure and axial pressure are applied, initial back pressure is applied through a back pressure system of the triaxial apparatus, and the water injection amount changing along with time is recorded; s4, performing a multi-pressure-difference test and fluid viscosity correction based on the initial back pressure applied in S3; and S5, according to a test result, carrying out actual working condition flow velocity conversion. The back pressure value is changed, the corresponding water injection rate and time are recorded, and the flow velocity is corrected in combination with factors such as fluid viscosity, so that the accuracy of an experimental result is improved, and a scientific basis is provided for optimizing a nozzle design.

The present disclosure describes systems, methods, and an apparatus for controlling fluid viscosity within a personal vaporizer such as an electronic cigarette, a vape pen, vape kits, e-cig, or e-hookah, electronic nicotine delivery system. The apparatus can include a cartridge for a personal vaporizer that has a reservoir for containing fluid to be vaporized, a first heater configured to vaporize the fluid, the first heater located in an atomization chamber, a wick configured to deliver the fluid from the first heater, a second heater configured to warm the fluid in the reservoir without vaporizing the fluid, and a set of contacts configured to receive power and deliver the power to the first heater and the second heater.

The invention relates to the technical field of high-rise building elevators, and provides a high-rise elevator emergency air pressure slow descending device which comprises an elevator car, first wedge-shaped blocks fixed to the two sides of the elevator car, a plurality of slow descending mechanisms embedded in the two sides of an elevator shaft in a gradient mode and an air pressure bottom sinking mechanism arranged at the bottom of the elevator shaft. The multi-layer buffering mechanism combining non-Newtonian fluid damping, pneumatic pressurization and elastic supporting has the synergistic effect, the shear thickening effect of non-Newtonian fluid in the box body is activated through the stirring components (the spiral pressing pieces and the stirring blades), the fluid viscosity is greatly improved instantly when the lift car descends suddenly, dynamic damping force is formed, and the dynamic damping effect is achieved. The first air cylinder is used for compressing air to drive the air bag to expand, the reverse thrust assembly (the second air cylinder and the lower pressing plate) is combined to achieve conversion from air pressure energy to mechanical energy, secondary buffering is formed, non-linear and self-adaptive energy absorption is achieved through coupling of fluid mechanics (non-Newtonian fluid) and gas dynamics, and the device is particularly suitable for high-speed falling scenes.

The invention relates to the technical field of petroleum and natural gas drilling engineering, and particularly discloses a multi-field coupled complex fractured formation fracture width distribution inversion method, which is characterized in that a drilling fluid leakage model considering a fluid-solid coupling effect is constructed based on a porous elastic mechanics theory, and a roughness correction factor is introduced to correct a traditional cubic law; the application of the Darcy law in the matrix is perfected, a matrix and crack coupled drilling fluid leakage mathematical model is established, the influence rule of key parameters such as fluid viscosity, pressure difference and crack width on the drilling fluid leakage amount is obtained through numerical simulation, and on the basis, the drilling fluid leakage amount is calculated. According to the method, the crack width multiple linear regression inversion equation with the fluid viscosity, the pressure difference and the accumulated leakage as independent variables is established, the inversion equation has high prediction precision and practicability and can be used for rapidly and accurately inversing the crack width on site, and theoretical and technical supports are provided for multi-scale fractured formation leakage mechanism understanding and leakage prevention and control optimization.

The invention discloses a method for detecting the conveying condition of a silicon steel inhibitor in a pipeline, and the method comprises the steps: obtaining the fluid density, fluid viscosity and fluid transverse average flow velocity of the inhibitor in a target pipeline, and measuring the speed of particles in the fluid and the average diameter of the measured particles; wherein the particle velocity comprises a particle transverse velocity and a particle longitudinal velocity; calculating a blockage index based on a blockage index calculation formula; meanwhile, the precipitation degree of the inhibitor in the target pipeline is obtained, and trend comparison is conducted on the precipitation degree and the blockage index; if the trends are inconsistent, adjusting a correction coefficient in a blockage index calculation formula until the trends are consistent, and forming a corresponding table of the blockage index, the precipitation degree and the transverse average flow velocity of the fluid; determining an actual blockage index based on the corresponding table and the actual fluid transverse average flow velocity; and performing early warning on the precipitation condition of the inhibitor in the target pipeline by using the actual blockage index. According to the method, the precipitation degree of the inhibitor in the pipeline is represented through the blockage index, and early warning is performed.

The invention belongs to the technical field of petroleum and natural gas yield increase transformation, and provides a visual proppant migration experiment device used in a sand-carrying acid fracturing fracture, which comprises a plunger pump, a liquid supply tank, a liquid supply tank heater, a sand mixing tank, a gas supply bottle, a visual fracture system, a waste liquid tank, a computer data acquisition system and a high-speed camera. Two micropore plates of the visual crack system are arranged between a front cover plate and a rear cover plate in parallel at intervals, micropores are evenly distributed in the micropore plates, gas in the space between the front cover plate and the rear cover plate and the micropore plates can enter a crack space, and meanwhile the injection direction of the gas is changed into the transverse direction relative to the crack space from the vertical direction. The device can effectively simulate the influence of different sand-carrying fluid viscosities, gas volume proportions, sand ratios, particle sizes, tracing proppant proportions and temperatures on the migration of the proppant in the acid sand-carrying fracturing crack and the distribution form of the sand bank.

The invention relates to a low-permeability heavy oil composite nano oil displacement agent, which comprises a surfactant, fatty alcohol-polyoxyethylene ether, polyacrylamide, nano particles and water, and comprises the following components: 40%-60% of betaine, 10%-30% of fatty alcohol-polyoxyethylene ether, 20%-40% of polyacrylamide, 2% of nano particles (the particle size ranges from 5 nm to 50 nm), 0.1% of a pH regulator 0.01 and the balance of water. According to the composite nano oil-displacing agent disclosed by the invention, a stable nano particle solution is formed by optimizing the variety and proportion of the surfactant, the variety and proportion of the fatty alcohol-polyoxyethylene ether, the variety and proportion of the polyacrylamide and the variety, size and proportion of the nano particles through complex interaction among the components. The composite nano oil displacement agent is high in stability, and can change the wettability of rock, remarkably reduce the surface tension of an oil-water interface, improve the fluid viscosity, peel residual oil and weaken hydrogen bonds, so that the composite oil displacement agent can pass through a micro-capillary pore throat and enlarge the swept area. In the exploitation of low-permeability common thickened oil, the method can obviously improve the recovery efficiency, has excellent technical and economic advantages, and achieves an excellent effect in the practical application of a certain oil field.

The utility model discloses a magnetic suspension type pipeline fluid viscosity detection device, which relates to the field of liquid detection, and comprises a material conveying pipe and a rotary viscometer body, the side wall of the material conveying pipe is communicated with a material taking pipe, the upper surface of the material conveying pipe is fixedly connected with a detection box, and the lower side of the detection box is communicated with the material taking pipe through an L-shaped pipe. The piston is driven by the two shifting plates to move in the material taking pipe, then the threaded rod is rotated, the threaded rod is in threaded connection with the threaded sleeve to drive the plug cover and the piston to move together till the end opening connecting position of the material taking pipe is completely plugged by the plug cover, at the moment, part of flowing liquid enters the material taking pipe, and then through pushing and extracting, the material taking pipe is opened. The whole operation process is rapid and convenient, outward sampling is not needed, the sampling time of a traditional testing method is saved, normal conveying of materials is not affected, more importantly, waste of the tested materials is avoided, and practicability is improved.

A system for determining the flow properties of a fluid in a fluid unit, comprising: a light source configured to generate a plurality of optical signals; marker elements suspended in a fluid; a plurality of photonic units, each comprising a photonic element and a flow channel; and a measuring unit configured to: determine a first measurement based on the plurality of optical signals and the marker elements in a flow channel of a first photonic unit of the plurality of photonic units, determine a second measurement based on the plurality of optical signals and the marker elements in a flow channel of a second photonic unit of the plurality of photonic units, wherein the flow channel of the first photonic unit and the flow channel of the second photonic unit are fluidically connected.and a property relating to a flow of the fluid or the marker elements is determined based on the first and second measured values, wherein the determination of the property further comprises determining a macroscopic flow velocity (U) of a fluid containing the marker elements, wherein the macroscopic flow velocity (U) is determined as a function of a flow rate (Q) of the fluid through a cross-sectional area (A) of the fluid unit, wherein Q depends on an applied pressure gradient (VP) such that U = Q / A, wherein the determination of the property further comprises determining a permeability (κ) of a channel of the fluid unit as a function of a viscosity of the fluid (µ), the macroscopic flow velocity (U) and a pressure gradient VP such that κ = µU / (-∇P).

The invention discloses a method for predicting the erosion rate of a control manifold of an offshore oil and gas exploration well. The method comprises the following steps: constructing a support vector machine model; wherein the input parameters of the support vector machine model are the manifold diameter, the manifold bending angle, the fluid speed, the fluid density and the fluid viscosity, and the output parameter of the support vector machine is the maximum erosion rate of the well control manifold; optimizing penalty function coefficients and kernel function parameters of the support vector machine model by adopting a genetic algorithm to obtain an optimized support vector machine model; training the optimized support vector machine model to obtain a well control manifold erosion rate prediction model; and acquiring the manifold diameter, manifold bending angle, fluid velocity, fluid density and fluid viscosity of the to-be-predicted well control manifold, and inputting into the well control manifold erosion rate prediction model to obtain the maximum erosion rate of the to-be-predicted well control manifold. According to the well control manifold erosion rate prediction method provided by the invention, the maximum erosion rate of the well control manifold can be accurately predicted.

The invention relates to the field of resin processing, and particularly discloses high-hardness rosin resin and a preparation method thereof.The high-hardness rosin resin is prepared from first-grade rosin, pentaerythritol, phenolic aldehyde glycidyl ether, polypropylene glycol diglycidyl ether, nano-silicon dioxide, polysulfide rubber, an antioxidant and a catalyst; according to the manufacturing method, phenolic aldehyde glycidyl ether can react at medium and high temperatures, and low fluid viscosity at the high temperature is beneficial to stirring and uniform distribution of nano silicon dioxide. Phenolic diglycidyl ether is used as an epoxy group cross-linking agent, and a rigid network structure is constructed on a molecular level, so that the hardness of the resin can be greatly improved; the polypropylene glycol diglycidyl ether is introduced into a flexible chain segment, so that the brittleness is reduced. The nano silicon dioxide is uniformly dispersed at the periphery of the resin and is filled in gaps among molecular groups, so that the rigidity of the resin is macroscopically improved. The combination of the two can greatly improve the strength of the resin.

The invention provides a flow and boiling heat exchange rapid analysis method and device based on a porous medium, and relates to the technical field of porous medium heat transfer characteristic measurement, and the method comprises the steps: obtaining initial experiment data through an experiment device, and the initial experiment data comprises on-way pressure drop, wall surface temperature data and inlet and outlet temperature data of the porous medium; the fluid velocity and the fluid viscosity of the fluid in the porous medium are measured; based on the on-way pressure drop, the fluid flow velocity and the fluid viscosity, the resistance coefficient of the porous medium is obtained through calculation, and the resistance coefficient comprises an inertia resistance coefficient and a viscous resistance coefficient; calculating an equivalent heat conductivity coefficient of the porous medium according to the wall surface temperature data and the inlet and outlet temperature data; on the basis of a reduced-order one-dimensional N-S equation, a flow and heat exchange analysis model is built in combination with the physical property of the water vapor surface; and substituting the resistance coefficient and the equivalent heat conductivity coefficient into a flow and heat exchange analysis model, and predicting flow characteristics and heat exchange characteristics of the porous medium under different flow and pressure conditions. The flow and heat exchange characteristics of the porous medium material can be rapidly analyzed.

The utility model relates to a tubular static mixer. Comprising a tubular mixer main body and a plurality of mixing units which are sequentially arranged along the axial direction of the mixer main body, each group of mixing units comprises a group of spiral twisted blades and a splitter plate; the screw pitch and the twisting angle of the twisted blade are dynamically adjusted according to the fluid viscosity; a left-handed structure and a right-handed structure are arranged at the two ends of the mixing unit respectively and are connected in a cross shape through clamping grooves to form four flow channels; adjustable connectors are arranged at the two ends of each mixing unit and are used for adjusting the distance between the mixing units or replacing the modularized mixing units. The problems that in the prior art, a tubular static mixer still has a certain improvement space in the aspects of mixing efficiency, applicable fluid type range, blockage prevention and the like, for example, when some fluids with large viscosity difference are mixed, ideal mixing uniformity is difficult to achieve, meanwhile, a mixing element is prone to blockage, and the mixing efficiency is poor are solved. And normal operation of equipment is influenced.

The utility model provides a butterfly type stirring paddle and a reactor. The stirring paddle comprises a stirring shaft and a stirring shaft, the main paddle comprises at least one main paddle blade connected with the stirring shaft, a turbulent flow component is arranged on the main paddle blade, and the turbulent flow component is arranged to be capable of enhancing axial and radial flow mixing of fluid in the chemical container; the auxiliary paddle and the main paddle are coaxially arranged, the auxiliary paddle comprises at least one auxiliary paddle blade connected with the stirring shaft, and the auxiliary paddle blade is used for axially stirring fluid in the area below the main paddle blade; and the ratio of the distance from the lowest point of the joint of the main paddle blade and the stirring shaft to the lowest position of the chemical container to the distance from the lowest point of the joint of the auxiliary paddle blade and the stirring shaft to the lowest position of the chemical container is 0.25-0.65. The butterfly type stirring paddle is wide in applicable fluid viscosity range, the applicable fluid viscosity ranges from 0.001 Pa. S to 20 Pa. S, the fluid mixing efficiency can be remarkably improved, and therefore the power consumption of the stirring paddle is reduced.

The present invention relates to the technical field of amorphous ribbon production, and discloses a cooling roller guide device for amorphous ribbon production, comprising a left support plate and a right support plate, wherein opposite sides of the left support plate and the right support plate are fixedly connected to end caps, the outer sides of the end caps are fixedly connected to pressure caps, the connection between the left support plate and the right support plate is also fixedly connected to a connecting sleeve, the outer sides of the left support plate and the right support plate are fixedly connected to copper sleeves, the centers of the left support plate and the right support plate are each provided with a spindle mounting hole, the left support plate and the right support plate are provided with a plurality of radial holes, the left support plate and the right support plate are fixedly connected to spindles in the corresponding spindle mounting holes, and the spindles are provided with spindle center holes in the interiors of the spindles. The cooling roller guide device for amorphous ribbon production has the advantages of greatly reducing the flow resistance of cooling water, reducing the mechanical energy dissipation and temperature rise caused by fluid viscosity, and greatly reducing the pressure difference in the cooling roller water channel, thereby improving the cooling effect of the cooling roller.

The present invention relates to a dispersion comprising i) a dispersant; ii) at least one polythiophene dispersed in the dispersant i); and the Ostwald de l / l / ae / e relationship for the dispersion. T =Ky n The exponent n in the power law is in the range of 0.62 to 0.92. T The present invention relates to a dispersion in which is the shear stress, K is the fluid viscosity constant, Y is the shear rate dy / dt, and the dispersion has a solid content of at least 1.5% by weight based on the total weight of the dispersion. The present invention also relates to a process for preparing a dispersion, a dispersion obtained by the process, a process for preparing a laminate, a laminate obtained by the process, and the use of the dispersion for forming a solid electrolyte layer in a capacitor.

This invention provides a circular caisson resonant pool combination structure, comprising an upper circular caisson, a lower circular caisson, and a resonant pool. The upper and lower circular caissons are stacked, with the resonant pool positioned on their rear sides. The wave-facing sides of both the upper and lower circular caissons are arc-shaped curved surfaces, and the top-view outline of the upper caisson overlaps that of the lower caisson. Along the wave-facing direction, the upper and lower circular caissons are staggered with the resonant pool. This invention, through its two-layer stacked circular caisson and resonant pool combination structure, achieves superior stress performance, reduces wave reflection, and significantly weakens wave energy accumulation through scattering, maintaining a stable harbor surface. Addressing the strong penetrating characteristics of medium- and long-period waves, the resonant pool allows the internal fluid to approach a resonant state, utilizing fluid viscosity and vortex structures to dissipate wave energy, further enhancing the wave-damping effect.

A fluid ejection head that includes a semiconductor substrate containing a plurality of fluid ejectors thereon and a fluid supply via etched therethrough. A flow feature layer is attached to the semiconductor substrate. The flow feature layer has a plurality of fluid channels and fluid chambers for the plurality of fluid ejectors, wherein the fluid channels are configured to provide fluid from the fluid supply via through the fluid channels to the fluid chambers for ejection of fluid through fluid nozzles associated with the fluid chambers. The fluid channels further include inlet channels and expansion channels that are configured to compensate for fluid viscosity variations. A nozzle plate containing the fluid nozzles is attached to the flow feature layer.