392 results about "Particle flow" patented technology

The invention discloses a radiator micro-channel structure integrity detection method based on acoustic measurement, and relates to the technical field of information, the method couples acoustic propagation measurement with density inversion and particle transport observation, firstly screens a key observation object according to density gradient change, and then constructs a hydrodynamic equilibrium graph by using auxiliary particle flow, and finally obtains the structural integrity of the radiator micro-channel. And channel-by-channel difference is carried out with reflection measurement of standard acquired data, so that defects are indicated by three domains of energy, time and space together. According to the closed-loop link, the sensitivity to tiny blockage, slight deformation and early crosstalk is remarkably improved, the false alarm rate that single measurement is easily influenced by noise and working condition fluctuation is reduced, fine positioning of channel-level abnormal positions and ranges is achieved, and the closed-loop link is suitable for high-resolution detection of dense micro-channel arrays without disassembly or destructive operation.

The invention discloses a method, a device, equipment and a medium for simulating migration of a proppant, and relates to the technical field of analogue simulation. Simulation is carried out through fluid dynamics and a discrete element analysis model, specifically, fluid parameters are obtained, a calculation model is constructed, and constraints are set; parameters are input for fluid and particle stress analysis, and particle displacement and grid updating are calculated; contact is judged through the particle collision sequence, boundary force is calculated, and the particle motion state is updated; and cyclically feeding back the flow field parameters to particle stress analysis until the number of iterations is met so as to obtain the void ratio, the flow velocity, the position and the momentum of the particles. According to the invention, the motion among particles can be captured and accurately calculated in a high-concentration particle flow or particle dominated collision system.

The invention relates to a deep stratum well hole and cave mining system and method, the system comprises a traffic well hole system, the traffic well hole system is provided with at least one well hole smaller than 1 m, an internal channel formed by the well hole is communicated with a cave formed by excavation, and the internal channel formed by the well hole is configured to be a flow-back channel and / or an injection channel; the well hole and cave mining device is provided with a crushing assembly and / or a cleaning and transporting assembly, the crushing assembly is used for carrying out form-controllable mining on the ore on the cave rock wall surface, and the cleaning and transporting assembly is used for cleaning ore particles in the cave or transporting the ore particles to the flowback channel; and the particle flow lifting system is used for lifting the extracted ore particles out of the well through the flow-back channel. The technical problems that when caves of deep stratums are mined, the supporting effect is poor, and the ore particle clearing and transporting efficiency is low are solved, and large-scale and high-efficiency mining operation can be conducted on the deep stratums or non-hard stratums.

The invention discloses a landslide particle flow and live-action three-dimensional geographical environment analysis method and device, a medium and a product, and relates to the field of geological landslide simulation, and the method comprises the steps: determining a sliding body and a sliding bed region based on digital elevation model data before and after a landslide; establishing a three-dimensional landslide model by adopting a three-dimensional particle flow discrete element PFC3D based on the digital elevation model data before and after the landslide and the sliding mass and sliding bed areas; performing landslide particle motion simulation based on the three-dimensional landslide model; acquiring remote sensing images before and after the landslide; constructing a three-dimensional terrain scene based on a live-action three-dimensional technology according to the remote sensing data and the digital elevation model data of the corresponding period; obtaining and updating particle data according to the landslide particle motion simulation result; performing fusion rendering on the particle data and the three-dimensional terrain scene to obtain a simulation result of superposition of landslide simulation and the three-dimensional scene; the complete process of landslide occurrence can be visually displayed, and damage analysis can be accurately carried out on the landslide.

The invention discloses an operation state evaluation method and system for the deep peak regulation process of a fluidized bed unit, and relates to the technical field of fluidized beds, and the method comprises the steps: collecting the combustion condition data of the deep peak regulation process of the fluidized bed unit; generating a particle flow velocity vector diagram, and identifying and marking different flow modes and paths in the particle flow velocity vector diagram; generating a non-uniform index of the whole flow field through particle flow velocity and particle concentration distribution of each flow mode area in the flow field; generating a bed temperature distribution diagram, recognizing a high temperature-flow mode region by combining with the particle flow velocity vector diagram, and calculating a coking risk index of the high temperature-flow mode region; and calculating a coking risk index of the whole flow field, comparing the coking risk index of the whole flow field with a risk threshold value, and when the coking risk index of the whole flow field is greater than or equal to the risk threshold value, giving out an early warning, identifying potential risks, and avoiding serious problems such as coking.

The invention relates to the field of multiphase numerical simulation, and discloses a large-scale particle flow numerical calculation method based on multi-ball filling, and the method comprises the steps: obtaining a fluid domain grid size, a fluid density and a large particle radius; calculating the radius of the small filling ball according to the size of the fluid domain grid; based on golden angle spiral distribution and minimum distance coverage judgment, determining the number and the positions of small filling balls, and generating a large particle model of multi-ball filling; obtaining the background flow field speed of the large particles and the filling small balls in the current time step, and calculating the background flow field speed and drag force of the large particles; updating through iterative calculation to obtain the speed and the position of the large particles and the small filling balls in the next time step; and adding drag force as a source item into a momentum equation to solve fluid motion, and obtaining a fluid computational domain grid speed in the next time step. Accurate numerical simulation of large-scale particles is realized.

The invention provides a dynamic particle adaptive drawing method and system based on an autonomous controllable GPU. Optical fiber sensing arrays are deployed in a monitoring area in a distributed mode, and multi-frequency-band vibration waveform data of the dynamic particle flow under strong electromagnetic interference are collected. And in combination with a particle fluid mechanics constraint rule, generating an inter-node association topology of the dynamic particle knowledge graph. And through a federated learning framework, a plurality of GPU computing nodes cooperatively update the knowledge graph, and particle rendering resolutions are dynamically distributed according to the real-time variation of the topology. And finally, based on the vibration waveform data fluctuation interval fed back in real time, generating a GPU drawing control instruction, and triggering a GPU computing node to adaptively adjust the rendering granularity of the particle trajectory according to the priority of the energy transfer path. According to the technical scheme provided by the invention, efficient and accurate drawing of the dynamic particle flow in a strong electromagnetic interference environment can be realized, and the visualization effect of the particle flow in the mechanical cavity is improved.

The present invention proposes a sputtering cleaning system and cleaning method for the inner wall of the ionization chamber of a radio frequency ion thruster. The system is composed of a gas distributor, a potential control line, a radio frequency coil, an ionization chamber, a screen grid, an acceleration grid, a positive DC voltage source, a radio frequency power supply, a negative DC voltage source and a conductive tape. The method includes: 1. The radio frequency ion thruster is started, and plasma is formed in the ionization chamber; 2. A positive voltage is applied to the screen grid, and ions are drawn out by the grid system, and the thruster enters a working state; 3. When the conductive film is thicker and the power input is weakened, the positive DC power supply is turned off, and no ions are drawn out of the thruster; 4. The negative DC power supply is turned on, and a negative voltage is slowly applied to the potential control line to increase the energy of ions hitting the inner wall of the ionization chamber; 5. The conductive film on the inner wall of the ionization chamber is bombarded by ions, and particles are sputtered out. The particles are neutral and are discharged from the ionization chamber under the action of the neutral particle flow, thereby achieving cleaning of the inner wall of the ionization chamber.

The invention relates to the technical field of high-pressure precise physical experiments, in particular to an irradiation sample table. A to-be-tested sample is placed on the sample table, and the second gland and the first gland are detachably connected to the sample table in sequence, so that the holes in the first gland and the second gland correspond to the to-be-tested sample. The size of the hole is smaller than the diameter of the to-be-detected sample, so that the radiation area is smaller than the diameter of the to-be-detected sample; moreover, the second gland is a ceramic gland and has good insulation performance, so that the situation that plasma directly bombards a sample table to generate an edge effect during irradiation, and adverse effects on judgment and separation of real particle flow density distribution borne by the surface of the to-be-detected sample are generated can be avoided. When samples of different sizes need to be replaced, only the first gland and the second gland which are provided with the open holes matched with the samples in size need to be replaced, operation is easy and fast, cost is low, and the experiment continuity and efficiency cannot be affected.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

The invention discloses a numerical simulation method, device and equipment for ice rock collapse starting and a medium, relates to the technical field of fluid motion simulation, and provides an FDEM-SPH coupling framework. Through a CIE unit in the FDEM method, crack propagation and fracture processes in rock masses are accurately simulated, and after the CIE unit is completely fractured, the FDEM method simultaneously simulates various contact forms between two separated finite units, so that mutual movement and interaction between fractured rock masses can be accurately described; ice and snow melting and movement in the ice-water phase change process are simulated through the smoothed particle flow SPH, and meanwhile, the interaction between ice-water phase change and rock mass fracture movement can be quantified by calculating the contact force between virtual particles in the smoothed particle flow SPH and the surface of a finite element in the finite discrete element method FDEM; the interaction reflects the erosion and impact of the ice-water phase change on the rock mass in the whole process and the actual physical condition in the ice rock collapse starting process, so that the ice rock collapse change more fitting the real condition is described.

The invention discloses a pneumatic conveying system straight pipe auxiliary air inlet adding analysis method and device, and belongs to the technical field of pneumatic conveying, and the method comprises the following steps: simulating particle flow in a pulverized coal conveying pipe through simulation software in combination with an Ergun resistance model, and obtaining basic data; determining a pulverized coal initial deposition point according to the data, adding a first auxiliary air inlet, then adjusting the air inlet speed at a fixed included angle, changing the air inlet angle at a fixed speed, and recording the backward moving range of the initial deposition point; then single-dimension experiments are carried out to research the influence of all parameters on pressure drop, response surface optimization analysis is applied to construct a power consumption coefficient formula and optimize experiment results, and finally an auxiliary air inlet adding scheme is obtained through rounding processing. By optimizing auxiliary air inlet parameters, pulverized coal deposition can be reduced, pressure drop and power consumption of a conveying pipe are reduced, the performance of a pneumatic conveying system is improved, and the method has important application value in the pneumatic conveying fields of thermal power plants, mining industry and the like.

The invention relates to the technical field of fluid dynamics, in particular to a lattice-Boltzmann method-based thin particle flow two-way coupling modeling method, which comprises the following steps of: performing field domain discretization by selecting spatial resolution, performing collision migration and viscosity coefficient setting, establishing a time step sequence and a fluid initial speed, determining a speed disturbance parameter, and establishing a two-way coupling model; calculating particle volume fraction and density distribution to obtain a speed distribution function set. According to the method, the spatial resolution is selected for field domain discretization, so that flow field division is more refined, the motion resolution of particles in different regions is enhanced, and the numerical error of the particles in a local region is reduced. And through collision migration and viscosity coefficient setting, it is ensured that the particles are evenly stressed in different flowing states, and the stability of the particle motion trail is improved. A time step sequence and a fluid initial speed are established, so that the time advancing process of particle movement is kept consistent, and speed deviation caused by mismatching of time steps is reduced.

The self-adjusting abrasive flow clamp is suitable for machining a tee joint through the abrasive flow technology and is characterized in that the self-adjusting abrasive flow clamp comprises a base, a baffle ring, a surrounding cylinder, a first arc-shaped bent pipe, a second arc-shaped bent pipe and a third arc-shaped bent pipe, opening structures are arranged at the two ends of the surrounding cylinder, a mounting hole is formed in the baffle ring, and an arc-shaped protrusion is arranged on the top face of the base; when abrasive particles enter through the third arc-shaped bent pipe, the abrasive materials flow out only through the first arc-shaped bent pipe; when the grinding materials are input through the groove, the grinding materials enter the tee joint through the second arc-shaped bent pipe and are output through the top end of the third arc-shaped bent pipe, the tee joint grinding efficiency is improved, and time consumption is reduced.

The invention provides a mixed modeling method for the pumping and printing process of 3D printing concrete. According to the method, intelligent aggregate is introduced, real-time monitoring and data collection of particle motion behaviors in the 3D concrete pumping and printing process are achieved, and comparative analysis is conducted on collected multi-dimensional dynamic data of particle speed, acceleration and collision frequency and discrete element-computational fluid mechanics (DEM-CFD) coupling simulation results; therefore, efficient inversion and accurate calibration of input parameters of the DEM-CFD coupling simulation model are achieved, and compared with unobservability and uncertainty of the particle flow state in the traditional concrete pumping process, the method can achieve transparency in the particle movement process; the parameter inversion method provided by the invention is based on fitting optimization of actually measured particle motion data and a numerical simulation result, so that manual intervention and experimental overhead are remarkably reduced.

The utility model discloses a particle pairing device and a pairing system, the pairing device is used for controlling pairing of a first particle and a second particle in a micro-fluidic chip, and the particle pairing device comprises a detection module and a valve control module electrically connected to the detection module, the detection module is used for identifying first particles when a first particle solution flows through a first particle flow channel of the micro-fluidic chip, is also used for identifying second particles when a second particle solution flows through a second particle flow channel of the micro-fluidic chip, and is electrically connected to the valve control module; the valve control module is used for blocking the first particle flow channel when the detection module recognizes the first particles and blocking the second particle flow channel when the detection module recognizes the second particles. Therefore, pairing of a single first particle and a single second particle can be realized, for example, when the first particle and the second particle are respectively cells and microspheres, the accuracy and efficiency of pairing of the cells and the microspheres can be improved, and then the efficiency of single cell sequencing is improved.

The invention belongs to the technical field of part processing, and provides a multi-harmonic excitation conformal polishing and grinding device and method for ring parts, the device adopts a double-mass double-excitation four-machine reverse split driving mechanical vibration system, high-frequency large-amplitude compound vibration of a conformal container is realized, and the polishing and grinding efficiency is improved. Therefore, the particle medium is driven to perform efficient longitudinal spiral motion around the ring part; the rotary motion of the ring part cooperates with the geometric constraint of the conformal container, so that the relative motion between the particle medium and the ring part is improved, an alternating stress flow field is formed in the ring part, and the problem that the inner surface machining efficiency and the outer surface machining efficiency are inconsistent due to the splitting effect of the ring part on the particle flow field is successfully solved. By means of the method, the problems of low machining efficiency, uneven machining and poor surface quality existing in a traditional finishing machining method for the ring parts with the cartridge receiver and the flame tube as typical parts can be solved, and the machining cost is reduced while the machining precision and the surface quality of the ring parts are improved.

The invention discloses an airborne particulate matter laser-induced breakdown spectroscopy (LI BS) detection and analysis device and method. The device comprises a measurement device frame; the negative pressure airborne particle flow system comprises an airborne particle flow pipe, a negative pressure airflow unit and a particulate matter supply unit, the airborne particle flow pipe is not limited by gravity and can be horizontally or vertically installed, a through hole is formed in the middle of the airborne particle flow pipe, the axis of the through hole perpendicularly intersects with the axis of the airborne particle flow pipe, and the diameter of the through hole is smaller than that of the airborne particle flow pipe. The negative pressure airflow unit is connected with the two ends of the airborne particle flow pipe, and the particle supply unit is linked with the negative pressure airflow unit and conveys particles to the airborne particle flow pipe to form stable particle flow; the particle flow LI BS detection system comprises a laser, a spectrometer and a light path, and realizes LI BS spectrum excitation and detection. The device is simple in structure, the particle flow system does not need a sealing window, and particulate matter leakage-free circulating detection analysis is achieved.

The invention provides an argon gas cluster ion polishing machine and a diamond crystal workpiece polishing method. The polishing machine comprises a pulse control valve used for generating pulse type airflow beams, and a nozzle device, a beam splitter, an ionizer, an absorption electrode, an accelerator and a permanent magnet which are sequentially arranged in the spraying direction of the pulse type airflow beams. The nozzle device is used for spraying pulse type airflow beams; wherein the pulse type airflow beam comprises divergent argon atom airflow and neutral cluster particle flow concentrated on a central shaft; the beam splitter is used for screening and separating neutral cluster particles and argon atoms in the pulse type airflow beam; the ionizer is used for ionizing the neutral cluster particles into cluster ions; the suction electrode is used for guiding the ionized ionomer clusters to form an initially converged conical airflow beam; the accelerator is used for focusing and accelerating the conical airflow beam; the permanent magnet is used for separating ions with different masses to form a pure cluster ion beam; and high-quality polishing of the surface of the diamond crystal workpiece can be achieved.

The invention provides a rock mass crack dynamic expanding and breaking system in the tunneling process. The rock mass crack dynamic expanding and breaking system comprises a rock mass crack real-time capturing module, an image processing and control module and a particle flow pressurization transmitting module which are arranged at the position of a rocker arm of a tunneling machine. The advantages of high energy, high speed, high precision and the like of the high-energy particle flow technology are utilized, dynamic expansion cracking of new rock cracks in the tunneling process is achieved, the tunneling machine is assisted in rock breaking, meanwhile, synchronization of the auxiliary rock breaking procedure and the tunneling rock breaking procedure is achieved, the rock breaking time is shortened, and the rock breaking efficiency is improved; meanwhile, the image processing technology is used for classifying cracks generated in the tunneling process, multiple cracks with the maximum cracking degree are screened out, then high-energy particle flow is struck out in the crack cracking direction, unnecessary energy loss is reduced, and meanwhile precise and efficient rock mass expansion cracking is achieved; the invention further provides a rock mass crack dynamic expanding and breaking method in the tunneling process.

The invention discloses a grouting anchor rod with built-in plugging particles and a working method thereof.The grouting anchor rod comprises a hollow anchor rod body, the anchor rod body is installed in a drill hole, and the anchor rod body and an orifice of the drill hole are plugged through a stop-grouting plug; the interior of the anchor rod serves as a slurry channel, a plurality of slurry outlet holes are formed in the anchor rod in the axial direction at intervals, plugging particles wrapped by a water-soluble film are arranged on the inner wall face of the anchor rod, after slurry enters the anchor rod, the water-soluble film dissolves and releases the plugging particles, and the plugging particles flow out of the anchor rod along with the slurry through the slurry outlet holes for plugging; the blocking particles are self-expanding particles; the grouting anchor rod structure is improved, in the grouting process, grout can carry plugging particles with specific response performance to enter cracks and automatically expand and condense, a stable and compact flow blocking structure is formed, and the grouting efficiency, the supporting quality and the engineering safety are greatly improved.

The invention belongs to the field of geologic disaster prevention and control of geotechnical engineering, and provides a multi-scale numerical simulation method for a slope instability mechanism of a ductile shear zone, which comprises the following steps: acquiring physical and mechanical parameters of a rock-soil body material, and establishing a numerical model based on a particle flow discrete element method; a Johnson-Kendall-Robert contact model is adopted as a contact model between particles, the contact force between the particles is calculated, and meanwhile, a pressure interference parameter is defined to control the limit value of normal contact rigidity; performing dynamic modeling of the discrete element particle system based on a particle generator; static modeling of a discrete element particle system is carried out based on a Lagrange body continuous unit component; the acting force of discrete element particles is converted into equivalent grid node force through an equivalent node force conversion method, and surface attributes of all unit sets possibly involved in contact are defined in a solver.

The invention discloses a current deposition calculation method and device in particle grid simulation and a storage medium, and relates to the technical field of particle flow simulation, and the method comprises the steps that a VPU determines the shape function value of each dimension of a particle and the current weight of each dimension based on the particle data of the particle corresponding to a target grid unit; taking two particles with adjacent index positions as a particle pair, and constructing a first operand vector and a second operand vector corresponding to the particle pair by the VPU based on the shape function value and the current weight of each dimension; the MPU executes matrix outer product operation on the first operand vector and the second operand vector, matrix outer product operation results in the target grid unit are accumulated until a total contribution matrix corresponding to the target grid unit is obtained, the VPU merges the total contribution matrix to a global current array, and the global current array is obtained. The technical problem that the performance of the particle grid simulation algorithm is limited due to the multi-thread writing conflict in the global merging stage is solved, and the expandability and the calculation efficiency of the particle grid simulation algorithm are improved.

The present application relates to the technical field of radar detection, and particularly relates to a particle flow multi-parameter detection method based on MIMO-FMCW radar, a medium and equipment, the particle flow multi-parameter detection method based on MIMO-FMCW radar comprises the following steps: S1, arranging a virtual channel array structure of × in a detection area, and obtaining a digital signal matrix of multiple frames of measurement data corresponding to the detection area by using the virtual channel array structure; S2, obtaining multiple parameters of the particle flow in the detection area based on the digital signal matrix.The present application synchronously obtains data in the time, frequency and spatial domain by using the MIMO-FMCW radar system, realizes the joint measurement of the multiple parameters of the particle flow, can extract the speed information by the Doppler effect of the FMCW signal, can form a virtual channel to extract the angle information, and simultaneously combines the signal amplitude to estimate the concentration, so that comprehensive particle flow movement characterization is realized.

A radiation device comprises at least a vacuum chamber (1), an electromagnetic accelerator (8) for generating a primary energy beam of ions inside the vacuum chamber (1), and a layer of material (S) carried by a support (4) rotating in the vacuum chamber (1) to generate a flow of particles when a series of nuclear fusion reactions are triggered on the material (S) thanks to the energy of said beam, and wherein the support (4) is hollow and sealed defining a rotating three-dimensional surface that surrounds a containment volume for a cooling liquid in heat exchange with the layer of material (S), such rotating three-dimensional surface defining a heat exchange surface wetted by the liquid, and wherein a level of the free surface of the liquid on the heat exchange surface moves upwards in use due to the action of the centrifugal acceleration generated by the rotation of the support (4).

The invention discloses a topological optimization method, device and equipment for material distribution based on particle flow, and relates to the technical field of material structure optimization. According to the method, isogeometric analysis is introduced into the material point method in topological optimization of material distribution, the isogeometric material point method is provided, consistency between geometric modeling and numerical analysis is achieved through a unified primary function of isogeometric analysis, benefit from high-order continuity of the primary function of isogeometric analysis, and the method has the advantages that the method is simple and convenient to implement. The introduction of isogeometric analysis can effectively eliminate and suppress numerical artifacts in topological optimization and unit cross instability in a traditional substance point method. According to the isogeometric material point method, movable particles of material distribution in a physical domain serve as design variables, a set of particle-grid physical information and sensitivity transmission model is established in combination with Lagrange-Euler mixed description, corresponding accurate geometric topology is output while particle evolution is achieved, and the method has the advantages of being high in accuracy and high in reliability. And the accuracy and the flexibility of topological optimization of the material distribution structure are remarkably improved.

The invention relates to the technical field of radar detection, in particular to a particle flow multi-parameter detection method based on an MIMO-FMCW radar, a medium and equipment, and the method comprises the steps: S1, arranging an x virtual channel array structure in a detection region, adopting a virtual channel array structure to obtain a digital signal matrix of multi-frame measurement data corresponding to the detection area; and S2, obtaining multiple parameters of the particle flow in the detection area based on the digital signal matrix. The MIMO-FMCW radar system synchronously obtains data in time, frequency and space domains, multi-parameter combined measurement of particle flow is achieved, speed information can be extracted through the Doppler effect of FMCW signals, a virtual channel can be formed to extract angle information, meanwhile, the concentration is estimated in combination with the signal amplitude, and comprehensive particle flow characterization is achieved.

The invention discloses a particle pairing device, a pairing system and an optical module, the pairing device is used for controlling pairing of a first particle and a second particle in a micro-fluidic chip, and the particle pairing device comprises a detection module and a valve control module electrically connected to the detection module, the detection module is used for identifying first particles when a first particle solution flows through a first particle flow channel of the micro-fluidic chip, is also used for identifying second particles when a second particle solution flows through a second particle flow channel of the micro-fluidic chip, and is electrically connected to the valve control module; the valve control module is used for blocking the first particle flow channel when the detection module recognizes the first particles and blocking the second particle flow channel when the detection module recognizes the second particles. Therefore, pairing of a single first particle and a single second particle can be realized, for example, when the first particle and the second particle are respectively cells and microspheres, the accuracy and efficiency of pairing of the cells and the microspheres can be improved, and then the efficiency of single cell sequencing is improved.

The invention relates to the field of multiphase numerical simulation, and discloses a cross-scale particle flow calculation method based on feature point arrangement, and the method comprises the steps: obtaining the position coordinates, speed, radius and augmentation coefficient of particles in a current time step, and the position coordinates, volume and speed of all fluid domain grids; determining position coordinates of the feature points according to the grid volume, the particle radius and the augmentation coefficient; dividing grids where the feature points are located into internal grids, boundary grids and external grids on the basis of the position relationship between the feature points and the particles, calculating the voidage of each grid in different modes, and calculating the background voidage of the particles; the background flow field speed of the particles is calculated according to the grid voidage, the volume and the speed; according to the background voidage, the speed and the background flow field speed of the particles, the drag force borne by the particles is calculated, and therefore numerical calculation of the cross-scale particles is achieved.

The application discloses a kind of abrasive grain flow microchannel polishing quality reliability analysis systems, including abrasive grain flow polishing system, quality detection system and reliability analysis system, the abrasive grain flow polishing system is used in the polishing processing of microchannel in microfluidic chip;The quality detection system is used to carry out quality detection to the microchannel after processing, and obtains detection value R1;The reliability analysis system carries out reliability analysis to processing quality, and the information basis of analysis is processing parameter P and the microchannel processing quality detection value R1 obtained by detection;The reliability analysis system transmits adjusted processing parameter to the abrasive grain flow polishing system, and is used to control microchannel polishing.The application also discloses a kind of abrasive grain flow microchannel polishing quality reliability analysis method.The application utilizes new learning function, and the correlation coefficient introduced by new learning function, improves the accuracy of model in threshold value vicinity, and can avoid the accuracy in low correlation area, ensures the accuracy of reliability analysis.