CN117993331A - CFD simulation method for underwater motion gesture of disposable probe - Google Patents
CFD simulation method for underwater motion gesture of disposable probe Download PDFInfo
- Publication number
- CN117993331A CN117993331A CN202410406223.1A CN202410406223A CN117993331A CN 117993331 A CN117993331 A CN 117993331A CN 202410406223 A CN202410406223 A CN 202410406223A CN 117993331 A CN117993331 A CN 117993331A
- Authority
- CN
- China
- Prior art keywords
- probe
- disposable probe
- setting
- underwater
- stage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000000523 sample Substances 0.000 title claims abstract description 134
- 238000004088 simulation Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 51
- 239000012530 fluid Substances 0.000 claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 35
- 238000012805 post-processing Methods 0.000 claims abstract description 4
- 230000005484 gravity Effects 0.000 claims description 13
- 239000000463 material Substances 0.000 claims description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 239000007788 liquid Substances 0.000 claims description 6
- 239000013535 sea water Substances 0.000 claims description 6
- 230000001052 transient effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 4
- 238000007792 addition Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a CFD simulation method for the underwater motion gesture of a disposable probe, and belongs to the technical field of simulation. The simulation method comprises the following steps: s1, constructing a three-dimensional geometric model of a probe; s2, establishing a cylindrical fluid region by taking a probe as a center, and constructing a three-dimensional overlapped geometric model; s3, carrying out grid division on the three-dimensional overlapped geometric model; s4, importing the grid file into Fluent for initialization configuration; s5, setting a calculation time step and an iteration step number, performing first-stage calculation, and after the calculation is finished and convergence is performed, deriving probe motion parameters of the stage; s6, repeating the steps S4 and S5, and filling the probe motion parameters of the previous stage into a Fluent solver to serve as initial values of the next stage until the whole underwater motion process is completed; and S7, importing data of the whole underwater movement process of the probe into CFD-post software for post-processing. The method can obtain the whole process motion gesture of the probe from the sea level to the seabed and obtain the relation between the underwater depth and time.
Description
Technical Field
The invention relates to the field of simulation, in particular to a CFD simulation method for the underwater motion gesture of a disposable probe.
Background
A disposable ocean current profiler (Expendable Current Profiler, XCP) is a portable, measuring instrument that can be used to quickly obtain marine environmental profile parameters and measure ocean current. The disposable ocean current profiler provides an advanced and efficient measurement means for ocean investigation, ocean environment prediction, scientific research and military application. The disposable probe is one of important structures of the disposable ocean current profiler, and the underwater motion gesture data of the disposable probe has important influences on the design optimization of the probe structure, the stability of deep sea launching of the probe and the accuracy and reliability of the underwater profile data.
The different underwater depths have different requirements on the probe structure and the probe motion stability, and particularly, the conditions under the deep sea are more severe, so that the acquisition of the underwater motion attitude data of the submerged type probe under the deep sea has important significance; while pressure sensors are typically used to measure the position of XCP probes at different moments in time when they are moving underwater, extreme pressure conditions and other complex environmental factors in the deep sea may increase measurement errors, thereby affecting the accurate determination of the probe depth position, which in turn may lead to deviations in profile ocean current measurements. If the average falling speed of the probe is preset and the depth position is obtained through theoretical calculation, the influence of water flow on the probe and the change of the posture of the probe are ignored, and the factors are important considerations for influencing the depth measurement accuracy and the data reliability. Therefore, the determination of the probe underwater depth position at different moments is accurately obtained, and is important for improving the accuracy and reliability of underwater ocean current profile data measurement.
The actual motion process of the disposable probe is an extremely complex process, the required data is difficult to obtain through the actual offshore launching test, and the economic cost and the time cost are high, so that the whole underwater motion gesture process of the disposable probe is necessarily simulated by adopting a simulation method to obtain the related data of the disposable probe in the whole falling process. However, the conventional simulation method can only simulate the motion gesture of the disposable probe from the sea level to the depth of tens or hundreds of meters, and is difficult to simulate the motion gesture of the whole process from the sea level to the deep sea of thousands of meters, so we propose a CFD simulation method of the underwater motion gesture of the disposable probe to obtain the related data of the whole process of the disposable probe from the horizontal plane to the sea bottom.
Disclosure of Invention
In order to solve the technical problems, the invention provides a CFD simulation method for the underwater motion gesture of the disposable probe, which is characterized in that the motion process of the disposable probe from the sea level to the sea bottom is subjected to staged simulation and analog calculation, the simulation and analog calculation results of all stages are linked to obtain the overall process motion gesture of the disposable probe under water, and the relation between the underwater depth and time is obtained.
The invention adopts the following technical scheme:
A CFD simulation method for the underwater motion gesture of a disposable probe carries out staged simulation calculation on the motion process of the disposable probe from the sea surface to the sea bottom, and links the simulation calculation results of all stages to obtain the overall process motion gesture of the disposable probe under water, comprising the following steps:
s1, constructing a three-dimensional geometric model of a disposable probe by using SolidWorks three-dimensional modeling software;
S2, importing the three-dimensional geometric model of the disposable probe constructed in the S1 into SPACE CLAIM three-dimensional modeling software, establishing a cylindrical fluid region by taking the disposable probe as a center, obtaining a three-dimensional overlapped geometric model, and naming all parts;
S3, carrying out grid division on the three-dimensional overlapped geometric model by using ANSYS MESHING grid division software, and checking the quality of grids to obtain a grid file;
S4, importing the grid file generated in the S3 into a Fluent solver for initialization configuration, and setting a user-defined function UDF in the Fluent solver;
S5, setting a calculation time step and an iteration step number in a Fluent solver, setting a staged simulation depth and a total set depth, then performing first-stage calculation, and after the first-stage calculation is finished and converged, deriving and storing the motion parameters of the disposable probe of the stage;
S6, repeating the operations of the steps S4 and S5 to perform simulation calculation of each stage, and filling the motion parameters of the disposable probe of the previous stage into the Fluent solver of the step S4 to serve as the initial value of the next stage until the total set depth is reached, namely, the whole underwater motion process of the disposable probe is completed;
And S7, importing data of the disposable probe in the whole underwater movement process into CFD-post software for post-processing, checking a speed cloud image and a pressure cloud image of the movement of the disposable probe at any time and any position, and acquiring a time-underwater depth relation.
The simulation calculation method relates to the calculation process of the underwater motion gesture of the disposable probe, and when describing the motion state of the disposable probe in fluid, three conservation laws, namely mass conservation, momentum conservation and energy conservation, are complied with. And a control equation is established according to the three conservation laws to describe the physical state of any place in the fluid. The control equation involved in the simulation calculation process provided by the invention is as follows:
the motion process of the disposable probe designed by the invention follows the momentum equation as follows:
（1）
（2）
Wherein, In order to reject the mass of the probe,For the throw-away probe drop distance,For the drop rate of the disposable probe,The buoyancy force is applied to the disposable probe, the resistance force is applied to the disposable probe,For additional mass (a constant when the throw-away probe is in variable speed motion); the initial condition is that the disposable probe is completely immersed in the horizontal plane, and the initial position isThe initial speed is。
The buoyancy of the seawater is applied to the disposable probe:
（3）
Wherein, Is the density of sea water; in order to throw-away the probe volume, Is the gravity acceleration of 9.8。
The whole disposable probe is in streamline design,The amount of resistance to the disposable probe:
（4）
Wherein, Is the total resistance coefficient; The immersion area of the disposable probe is; Is the falling speed of the disposable probe.
The basic control equation Navier-Stokes equation of the viscous, incompressible unsteady flow field is adopted:
continuity equation of incompressible fluid:
（5）
Wherein, Representing velocity fieldsIs a dispersion of (3).
Momentum conservation equation for incompressible fluid:
（6）
Wherein, For the density of the fluid to be the same,In order to be able to take time,、、For the fluid respectively at、The component of the velocity in the direction is,、Is the coordinate component of the spatial coordinates in the i, j, k directions,Is the pressure of the fluid and,Is the dynamic viscosity of the water-based adhesive,Is a kronecker function used for index summation. This equation describes various aspects of conservation of momentum in incompressible fluids, including the effects of density, velocity, time, spatial coordinates, pressure, and viscous stresses.
Further, the step S2 specifically includes: establishing a cylindrical fluid region around the disposable probe, and cutting off the overlapped part of the cylindrical fluid region and the disposable probe by using Boolean operation to obtain a three-dimensional overlapped geometric model; meanwhile, each component is named, the disposable probe is named as "tantou" (probe), the cylindrical Fluid area is named as "Fluid" (Fluid) and the positive Z-axis surface of the Fluid area is named as "outlet" (outlet), and the rest surfaces of the Fluid area are named as "wall" (wall surfaces).
Further, in the step S3, the mesh division is performed by performing mesh division on the ocean current profiler probe and the cylindrical fluid region, and performing encryption processing on the disposable probe mesh.
Further, in the step S4, the Fluent solver initializing configuration includes:
selecting a double-precision solver, and setting the type of the Fluent solver as a three-dimensional solving model based on a pressure base;
Setting a time model as a transient model;
Setting a speed format as an absolute speed;
Setting a turbulence model as RNG A model;
And (3) material adding and setting: adding Fluent database material into liquid water, and changing the attribute density into seawater density of 1.0230g/cm 3;
Cell area material addition setting: the material for arranging the cylindrical fluid area is liquid water;
setting the gravity direction of the flow field as the Z-axis opposite direction, and setting the gravity size as-9.81/m 2;
Setting a movable grid, wherein the domain name of a setting area is called a probe, and the type of the movable grid is a rigid body; and selecting and starting six degrees of freedom, setting initial boundary conditions of the movable grid, namely setting the gravity center position, gravity center speed, rigid body direction and rigid body angular speed of the motion parameters in the first stage to be 0, and filling the motion parameters obtained after simulation in the last stage into the step of solver to perform simulation operation in the stage when initializing and configuring the Fluent solver in each later stage.
The turbulence model adopts RNGThe model specifically comprises the following steps:
Turbulent kinetic energy The equation is:
（7）
Wherein, Is turbulent kinetic energy; Is the fluid density; Is the molecular viscosity; Is a turbulent viscosity; is turbulent kinetic energy generated by fluid velocity gradient; Is that The reynolds average value of the velocity component in the direction,For the turbulent kinetic energy transfer rate,；Turbulent kinetic energy items generated for buoyancy; to compress the contribution of the fluctuating expansion in turbulence to the total dissipation rate, In order for the dissipation ratio of the turbulence,Time is; in order to be a planter number of the turbulence, 。
Turbulent dissipation ratioThe equation is:
（8）
Wherein, Is the viscosity of the turbulent flow,，、、Is a constant of the equation, ，，，Is a constant value, and is a function of the constant,；As a diffusion coefficient for the turbulent dissipation ratio,；Being the planchet number of the turbulent dissipation ratio,。
Further, in the step S4, the user-defined function UDF is used to set the degree of freedom parameters in the probe simulation, including the mass and moment of inertia parameters of the probe, and through this UDF, specific mass and moment of inertia are specified for the probe in the Fluent simulation.
Further, the program file of the user-defined function UDF is specifically as follows:
#include "udf.h"
DEFINE_SDOF_PROPERTIES(test,prop,dt,time,dtime)
{
Prop [ SDOF_MASS ] = 1.577;// probe MASS
Prop [ SDOF_IXX ] = 0.02;// X direction moment of inertia
Prop [ SDOF_ IYY ] = 0.02;// Y direction moment of inertia
Prop [ SDOF_IZZ ] =0.001;// Z direction moment of inertia
printf("\n2dtest: updated 6DOF properties");
}。
Further, in the step5, the time step is 0.005-0.01 s, and the iteration step number is 300-600.
The invention has the following beneficial effects:
(1) The invention can obtain the motion state data of the whole sinking process of the disposable probe from sea level to seabed by a numerical simulation mode based on hydrodynamic and kinematic analysis, simulate and simulate the whole deeper research range by a staged mode, has simple steps and high calculation efficiency, breaks the limitation of complex motion characteristics of theoretical analysis and research of the motion state of the disposable probe and the complexity of acquiring the motion state by a sea test, and can simulate complex or rapid-change sea environment by setting medium parameters of different environment parameters; meanwhile, the simulation method is stable and reliable, accurate in calculation and wide in application, can be applied to similar disposable section probes, and can obtain more detailed and accurate motion parameter information;
(2) According to the invention, the influence of the mechanical structure of the disposable probe on the whole motion state is observed through the acquired motion state data of the disposable probe in the whole sinking process from the sea level to the seabed, so that the structure of the disposable probe can be optimally adjusted, and the stability of the probe in throwing is ensured; in addition, the disposable probe is provided with various sensors for measuring ocean parameters in the actual measurement process, and the determination of the relation between the sinking time and the depth of the disposable probe directly influences the accuracy of the finally obtained seawater profile data; the invention not only obtains the whole motion state after throwing, but also obtains the relation between the falling distance of the throwing probe and time, namely the relation between the underwater depth and time through simulation, thereby being capable of combining with the actually measured underwater profile data and accurately analyzing the underwater profile data under different underwater depths.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic view of the structure of a disposable probe;
FIG. 3 is a graph showing the time-angle relationship obtained by simulation in the present invention;
FIG. 4 is a graph of time-underwater depth relationship obtained by simulation in accordance with the present invention.
Detailed Description
The following description of the embodiments of the invention will be given with reference to the accompanying drawings and examples.
Referring to fig. 1, the present embodiment provides a CFD simulation method for the underwater motion gesture of the disposable probe, which performs a staged simulation calculation on the motion process of the disposable probe from the sea surface to the sea bottom (1500 meters), uses 15 meters as a stage in the simulation calculation, and then links the simulation calculation results of all stages to obtain the overall process motion gesture of the disposable probe under water, as follows.
S1, constructing a three-dimensional geometric model of a disposable probe by using SolidWorks three-dimensional modeling software;
As shown in FIG. 2, the disposable probe has a streamline structure with a rotary tail, and the total length of the disposable probe is 455mm.
S2, establishing a cylindrical fluid region, and naming each part;
importing the three-dimensional geometric model of the disposable probe constructed in the step S1 into SPACE CLAIM three-dimensional modeling software, establishing a cylindrical fluid region by taking the disposable probe as a center, wherein the axial depth of the established cylindrical fluid region is 10m, the radial width is 5m, and cutting off the superposition part of the cylindrical fluid region and the disposable probe by using Boolean operation to obtain a three-dimensional overlapped geometric model; meanwhile, each part is named, the disposable probe is named as 'tantou', namely the probe, the cylindrical Fluid area is named as 'Fluid', namely the Fluid, the Z-axis positive direction surface of the Fluid area is named as 'outlet', namely the outlet, and the rest surfaces of the Fluid area are named as 'wall', namely the wall surfaces.
S3, carrying out grid division on the three-dimensional overlapped geometric model by using ANSYS MESHING grid division software, and checking the quality of grids to obtain a grid file;
In the step, when grid division is carried out, the sea current profiler probe and the cylindrical fluid region are respectively subjected to grid division, and the disposable probe grid is subjected to encryption treatment, wherein the size of the disposable probe grid is 0.02mm, and the size of the cylindrical fluid region grid is 0.004mm.
S4, importing the grid file generated in the S3 into a Fluent solver for initialization configuration, and setting a user-defined function UDF in the Fluent solver;
In this step, fluent solver initialization configuration includes:
selecting a double-precision solver, and setting the type of the Fluent solver as a three-dimensional solving model based on a pressure base;
Setting a time model as a transient model;
Setting a speed format as an absolute speed;
Setting a turbulence model as RNG A model;
And (3) material adding and setting: adding Fluent database material into liquid water, and changing the attribute density into seawater density of 1.0230g/cm 3;
Cell area material addition setting: the material for arranging the cylindrical fluid area is liquid water;
setting the gravity direction of the flow field as the Z-axis opposite direction, and setting the gravity size as-9.81/m 2;
Setting a movable grid, wherein the domain name of a setting area is called a probe, and the type of the movable grid is a rigid body; selecting and starting six degrees of freedom, setting initial boundary conditions of a movable grid, and setting the gravity center position, gravity center speed, rigid body direction and rigid body angular speed of the motion parameters in the first stage to be 0; and when initializing and configuring the Fluent solver at each stage, filling the motion parameters obtained after the simulation at the previous stage into the solver to perform simulation operation at the stage.
The user-defined function UDF is used for setting the degree of freedom parameters in the probe simulation, including the mass and rotational inertia parameters of the probe. Through this UDF, specific mass and moment of inertia are specified for the probe in Fluent simulation; the program file of the user-defined function UDF is specifically as follows:
#include "udf.h"
DEFINE_SDOF_PROPERTIES(test,prop,dt,time,dtime)
{
Prop [ SDOF_MASS ] = 1.577;// probe MASS
Prop [ SDOF_IXX ] = 0.02;// X direction moment of inertia
Prop [ SDOF_ IYY ] = 0.02;// Y direction moment of inertia
Prop [ SDOF_IZZ ] =0.001;// Z direction moment of inertia
printf("\n2dtest: updated 6DOF properties");
}。
S5, setting a calculation time step and an iteration step number in a Fluent solver, setting a staged simulation depth and a total set depth, then performing first-stage calculation, and after the first-stage calculation is finished and converged, deriving and storing the motion parameters of the disposable probe of the stage;
In the step, setting the time step to be 0.005s, the iteration step number to be 500, the maximum reception number to be 35, the time report to be 1 and the profile data updating interval to be 1;
in the step, if the calculation is finished, the calculation result is not converged, grid parameters are required to be modified, and iterative calculation is continued until the calculation result is converged; the grid parameter modification is specifically to modify the size of the grid, encrypt the grid and improve the calculation accuracy.
And S6, repeating the operations of the steps S4 and S5 to perform simulation calculation of each stage, and filling the motion parameters of the disposable probe of the previous stage into the Fluent solver of the step S4 to serve as the initial value of the next stage until the total set depth is reached, so that the whole underwater motion process of the disposable probe is completed.
And S7, importing data of the disposable probe in the whole underwater movement process into CFD-post software for post-processing, checking a speed cloud image and a pressure cloud image of the movement of the disposable probe at any time and any position, and acquiring a time-underwater depth relation.
Through the simulation, the relation between time and underwater depth and angle of rotation and the relation between time and underwater depth and pressure cloud image in the falling process of the disposable probe can be obtained, wherein the diagram is shown in fig. 3, and is a diagram of 0-1.5 s of time and angle of rotation, so that the movement state condition of the disposable probe from acceleration to uniform falling can be obtained through the relation between time and underwater depth and angle of rotation, the pressure change of the disposable probe from sea level to seabed can be analyzed through the relation between time and underwater depth and pressure cloud image, and the movement gesture of the disposable probe in the falling process is analyzed, so that the structure of the disposable probe is optimally adjusted.
In addition, through the above simulation, the relationship between time and underwater depth can be obtained, as shown in fig. 4, which is a graph of 0 to 1.5s of time and underwater depth, and through combining the simulation result with the actual measurement result of the ocean current profiler, the relationship between real-time ocean environment profile data and ocean depth obtained in the sinking process of the disposable probe can be obtained.
It should be understood that the above description is not intended to limit the invention to the particular embodiments disclosed, but to limit the invention to the particular embodiments disclosed, and that the invention is not limited to the particular embodiments disclosed, but is intended to cover modifications, adaptations, additions and alternatives falling within the spirit and scope of the invention.
Claims (6)
1. The CFD simulation method for the underwater motion gesture of the disposable probe is characterized by comprising the steps of carrying out staged simulation calculation on the motion process of the disposable probe from the sea surface to the sea bottom, and connecting simulation calculation results of all stages to obtain the overall process motion gesture of the disposable probe under the water, and comprising the following steps:
s1, constructing a three-dimensional geometric model of a disposable probe by using SolidWorks three-dimensional modeling software;
S2, importing the three-dimensional geometric model of the disposable probe constructed in the S1 into SPACE CLAIM three-dimensional modeling software, establishing a cylindrical fluid region by taking the disposable probe as a center, obtaining a three-dimensional overlapped geometric model, and naming all parts;
S3, carrying out grid division on the three-dimensional overlapped geometric model by using ANSYS MESHING grid division software, and checking the quality of grids to obtain a grid file;
S4, importing the grid file generated in the S3 into a Fluent solver for initialization configuration, and setting a user-defined function UDF in the Fluent solver;
S5, setting a calculation time step and an iteration step number in a Fluent solver, setting a staged simulation depth and a total set depth, then performing first-stage calculation, and after the first-stage calculation is finished and converged, deriving and storing the motion parameters of the disposable probe of the stage;
S6, repeating the operations of the steps S4 and S5 to perform simulation calculation of each stage, and filling the motion parameters of the disposable probe of the previous stage into the Fluent solver of the step S4 to serve as the initial value of the next stage until the total set depth is reached, namely, the whole underwater motion process of the disposable probe is completed;
And S7, importing data of the disposable probe in the whole underwater movement process into CFD-post software for post-processing, checking a speed cloud image and a pressure cloud image of the movement of the disposable probe at any time and any position, and acquiring a time-underwater depth relation.
2. The CFD simulation method for the underwater motion gesture of the disposable probe according to claim 1, wherein the step S2 specifically comprises: and (3) taking the disposable probe as a center, establishing a cylindrical fluid region to the periphery, and cutting off the superposition part of the cylindrical fluid region and the disposable probe by using Boolean operation to obtain a three-dimensional overlapped geometric model.
3. The CFD simulation method for underwater motion gestures of a disposable probe according to claim 1, wherein in the step S3, the disposable probe and the cylindrical fluid region are respectively subjected to grid division, and the disposable probe grid is subjected to encryption processing.
4. The CFD simulation method for the underwater motion gesture of the disposable probe according to claim 1, wherein in the step S4, the Fluent solver initialization configuration includes:
Setting the type of the Fluent solver as a pressure base;
Setting a time model as a transient model;
Setting a speed format as an absolute speed;
Setting a turbulence model as RNG A model;
And (3) material adding and setting: adding Fluent database material into liquid water, and changing the attribute density into seawater density of 1.0230g/cm 3;
Cell area material addition setting: the material for arranging the cylindrical fluid area is liquid water;
setting the gravity direction of the flow field as the Z-axis opposite direction, and setting the gravity size as-9.81/m 2;
Setting a movable grid, wherein the domain name of a setting area is called a probe, and the type of the movable grid is a rigid body; and selecting and starting six degrees of freedom, setting initial boundary conditions of the movable grid, namely setting the gravity center position, gravity center speed, rigid body direction and rigid body angular speed of the motion parameters in the first stage to be 0, and filling the motion parameters obtained after simulation in the previous stage into the Fluent solver to perform simulation operation in the stage when the Fluent solver is initialized and configured in each later stage.
5. The CFD simulation method for the underwater motion gesture of the disposable probe according to claim 1, wherein in the step S4, the user-defined function UDF is used for setting the degree of freedom parameters in the probe simulation, including the mass and moment of inertia parameters of the probe.
6. The CFD simulation method for the underwater motion gesture of the disposable probe according to claim 1, wherein in the step S5, the time step is 0.005-0.01S, and the iteration step number is 300-600.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410406223.1A CN117993331B (en) | 2024-04-07 | 2024-04-07 | CFD simulation method for underwater motion gesture of disposable probe |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410406223.1A CN117993331B (en) | 2024-04-07 | 2024-04-07 | CFD simulation method for underwater motion gesture of disposable probe |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117993331A true CN117993331A (en) | 2024-05-07 |
| CN117993331B CN117993331B (en) | 2024-06-04 |
Family
ID=90889323
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410406223.1A Active CN117993331B (en) | 2024-04-07 | 2024-04-07 | CFD simulation method for underwater motion gesture of disposable probe |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117993331B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110610065A (en) * | 2019-10-31 | 2019-12-24 | 中电工业互联网有限公司 | Aircraft multi-body separation CFD simulation method and system based on hybrid dynamic grid technology |
| US20200410147A1 (en) * | 2019-06-28 | 2020-12-31 | Viettel Group | Aerodynamic derivatives calculation method for flight vehicle |
| CN112800690A (en) * | 2021-04-13 | 2021-05-14 | 武汉大学 | Underwater folding and unfolding mechanism parameter optimization method based on group intelligent optimization algorithm |
| CN114065663A (en) * | 2021-11-15 | 2022-02-18 | 中国海洋大学 | CFD and MLP-based bionic fish hydrodynamic prediction method |
| CN114388075A (en) * | 2021-12-10 | 2022-04-22 | 华南理工大学 | Simulation calculation method for simulating natural gas hydrate generation distribution situation based on Fluent |
| CN117034800A (en) * | 2023-08-07 | 2023-11-10 | 中国石油化工股份有限公司 | Fluent-based flow field analysis method for reciprocating water injection pump |
-
2024
- 2024-04-07 CN CN202410406223.1A patent/CN117993331B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200410147A1 (en) * | 2019-06-28 | 2020-12-31 | Viettel Group | Aerodynamic derivatives calculation method for flight vehicle |
| CN110610065A (en) * | 2019-10-31 | 2019-12-24 | 中电工业互联网有限公司 | Aircraft multi-body separation CFD simulation method and system based on hybrid dynamic grid technology |
| CN112800690A (en) * | 2021-04-13 | 2021-05-14 | 武汉大学 | Underwater folding and unfolding mechanism parameter optimization method based on group intelligent optimization algorithm |
| CN114065663A (en) * | 2021-11-15 | 2022-02-18 | 中国海洋大学 | CFD and MLP-based bionic fish hydrodynamic prediction method |
| CN114388075A (en) * | 2021-12-10 | 2022-04-22 | 华南理工大学 | Simulation calculation method for simulating natural gas hydrate generation distribution situation based on Fluent |
| CN117034800A (en) * | 2023-08-07 | 2023-11-10 | 中国石油化工股份有限公司 | Fluent-based flow field analysis method for reciprocating water injection pump |
Non-Patent Citations (2)
| Title |
|---|
| 陈振涛;叶松;王晓蕾;钟中;周树道;: "NMOHEMS探头下沉运动的三维仿真方法研究", 系统仿真学报, no. 11, 8 November 2013 (2013-11-08) * |
| 陈文义;张瑞;刘宁;张曼曼;陶金亮;: "投弃式海流剖面仪探头流场数值模拟", 科技导报, no. 20, 28 October 2010 (2010-10-28) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117993331B (en) | 2024-06-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108549616B (en) | Forecasting method for large-amplitude motion of ship in severe sea condition based on G-N wave model | |
| CN103530482B (en) | Propeller noise Numerical Prediction Method in a kind of nonlinear inflow | |
| Ramírez et al. | New high-resolution-preserving sliding mesh techniques for higher-order finite volume schemes | |
| CN104850697A (en) | ANSYS and ADAMS-based large-scale antenna dynamical modeling method | |
| CN104317985A (en) | Fluid simulation method based on inter-belt finite element and Lagrange coordinate | |
| CN114186508A (en) | CFD software-based underwater vehicle hydrodynamic coefficient measuring and calculating method | |
| CN106886666B (en) | Boundary layer grid solving method for lift-drag ratio of underwater glider under different attack angles | |
| Pepper et al. | A meshless method using global radial basis functions for creating 3-D wind fields from sparse meteorological data | |
| CN117436322B (en) | Wind turbine blade aeroelastic simulation method and medium based on phyllin theory | |
| CN117993331B (en) | CFD simulation method for underwater motion gesture of disposable probe | |
| Liu et al. | CFD simulation of a floating wind turbine platform in rough sea conditions | |
| Kemper et al. | Development towards a nested hydrodynamic model for the numerical analysis of ocean wave energy systems | |
| Furnes | Flow in Pelton turbines | |
| Carrington et al. | Three-dimensional ALE-FEM method for fluid flow in domains with moving boundaries part 1: algorithm description | |
| CN117932794B (en) | Rotary tail structure optimization method based on disposable ocean current profiler probe | |
| Emad | Evaluating the performance of various convection schemes on free surface flows by using interfoam solver | |
| Yang et al. | The Influence of Vertical Cable on Flow Field and Acoustic Analysis of A Submersible Buoy System Based on CFD | |
| CN112525129A (en) | Three-dimensional nondestructive measurement method based on grid slice volume | |
| Loubimov et al. | A verification and validation study with respect to simulating undulating propulsion | |
| CN117829028B (en) | Floating fan power response full-coupling numerical simulation method and device and related equipment | |
| Akbarnejad Baie et al. | Simulation of the Internal Wave of a Subsurface Vehicle in a Two-Layer Stratified Fluid | |
| Cheng | Partial Differential Equations and Infinite Dimensional Dynamic Systems in Marine Fluid Dynamics | |
| Liu | Characteristics prediction of torque converter based on CFD | |
| Gomes et al. | Verification study of sliding and overset grid methods using the method of manufactured solutions on a wind turbine flow | |
| CN115310202A (en) | Modeling method for solving hydrodynamic coefficient |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |