CN116502565B - Air dam performance test method, system, storage medium and equipment - Google Patents
Air dam performance test method, system, storage medium and equipment Download PDFInfo
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Abstract
The invention provides a method, a system, a storage medium and equipment for testing the performance of an air dam, which are characterized in that wind resistance coefficient tests are respectively carried out on a constructed air dam digital model and a constructed vehicle digital model, the wind resistance coefficient tests are respectively carried out on a vehicle provided with the air dam and a vehicle not provided with the air dam to obtain a first wind resistance coefficient and a second wind resistance coefficient, then whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value is judged, if so, the subsequent tests are carried out, then, the pressure data of each unit point on a stress surface of the air dam digital model are obtained, the deformed air dam digital model is obtained through mapping processing according to the pressure data of each unit point, the third wind resistance coefficient of the second air dam digital model is determined, whether the difference between the second wind resistance coefficient and the third wind resistance coefficient is the target value is obtained is judged, and if so, the modeling data of the air dam digital model is saved for the subsequent air dam production, and the accuracy of the performance test of the air dam is improved.
Description
Technical Field
The invention relates to the technical field of automobile testing, in particular to an air dam performance testing method, an air dam performance testing system, a storage medium and air dam performance testing equipment.
Background
The automobile oil consumption is mainly used for overcoming the motion resistance of the automobile; the power to overcome air resistance is proportional to the square of the speed; the relevant data show that when the speed of the vehicle is 80km/h, 60% of oil consumption is used for overcoming air resistance, and more turbulence is generated due to the viscosity of fluid when the gas flows through the chassis, so that the pneumatic resistance of the whole vehicle is increased, and meanwhile, the oil consumption of a traditional fuel vehicle is increased. Therefore, the automobiles in the prior art have the problems of large resistance and high energy consumption when running at high speed. Improving fuel consumption by reducing air resistance is a very effective means. The oil consumption is reduced by 2.5 percent when the wind resistance coefficient is reduced by 10 percent.
The prior air dam of the pick-up needs to be designed into low wind resistance and small deformation, but the traditional aerodynamic design method does not consider the actual use scene of the air dam, so that the accuracy of the performance test data of the air dam is poor, for example, whether the structural state of the air dam after deformation can meet the requirement of wind resistance coefficient after the air dam is deformed under the influence of air resistance at high speed can not be judged.
Disclosure of Invention
Based on the above, the invention aims to provide a method and a system for testing the performance of an air dam, which are used for solving the technical problems that in the prior art, the existing pick-up air dam needs to be designed into low wind resistance and small deformation, and the traditional aerodynamic design method does not consider the actual use scene of the air dam, so that the accuracy of the performance test data of the air dam is poor.
According to the embodiment of the invention, the air dam performance testing method comprises the following steps:
constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and the air dam digital model, and inputting the vehicle digital model and the air dam digital model into fluid analysis software;
respectively calculating the vehicle digital model assembled with the air dam digital model through the fluid analysis software to obtain a first wind resistance coefficient and the vehicle digital model not assembled with the air dam digital model to obtain a second wind resistance coefficient;
judging whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value or not;
if yes, acquiring pressure data of each unit point on the air dam digital-analog stress surface, and obtaining a deformed air dam digital-analog and determining the deformed air dam digital-analog as a second air dam digital-analog through preset mapping treatment according to the pressure data of each unit point;
inputting the second air dam digital model and the vehicle digital model into the fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient;
judging whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value or not;
if yes, the modeling data of the air dam digital model is saved.
Further, the step of constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and the air dam digital model, and inputting the vehicle digital model and the air dam digital model into the fluid analysis software comprises the following steps:
determining a using boundary of the fluid analysis software according to the vehicle digital-to-analog size and a preset ratio, and adding a preset test condition into the using boundary to determine an aerodynamic model;
and respectively carrying out preset grid modeling processing on the vehicle digital model and the air dam digital model, and then inputting the vehicle digital model and the air dam digital model into the aerodynamic model.
Further, the step of determining a usage boundary of the fluid analysis software according to the vehicle digital-to-analog size and a preset ratio, and adding a preset test condition into the usage boundary to determine an aerodynamic model includes:
establishing a cuboid calculation domain outside the vehicle digital model according to the vehicle digital model, and determining the vehicle digital model as a use boundary, wherein the ratio of the vehicle digital model to the use boundary is 1:7, the width of the two sides is 1:3, and the width of the two sides is 1:8, then guiding the vehicle digital model into the use boundary, determining the vehicle digital model head orientation position in the use boundary as a speed inlet, and determining the vehicle digital model parking position orientation position as a pressure outlet;
the speed condition of the speed inlet is set to be 100km/h, the pressure of the pressure outlet is set to be 0pa, the side face and the top of the using boundary are set to be heat-insulating wall faces, and the surface of the vehicle body of the vehicle digital model is set to be the heat-insulating wall faces.
Further, the step of calculating, by the fluid analysis software, the vehicle model equipped with the air dam model to obtain a first windage coefficient and the vehicle model not equipped with the air dam model to obtain a second windage coefficient includes:
the fluid analysis software includes at least STAR-CCM+;
and respectively carrying out steady-state CFD calculation on the front surface of the vehicle digital model assembled with the air dam digital model by adopting an Euler method through the fluid analysis software, determining a first wind resistance coefficient, and carrying out steady-state CFD calculation on the front surface of the vehicle digital model not assembled with the air dam digital model, and determining a second wind resistance coefficient.
Further, the step of determining whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value further includes:
if so, acquiring pressure data of each unit point on the air dam digital-analog stress surface, mapping the pressure data of each unit point to the air dam digital-analog surface by using a CSV table under a hypermesh abaqus module through a field mapping method, obtaining a deformed air dam digital-analog and determining the deformed air dam digital-analog as a second air dam digital-analog.
Further, the step of determining whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value further includes:
if not, the air dam digital model does not meet the preset target value, the difference between the second wind resistance coefficient and the first wind resistance coefficient is led out to be determined as a current contribution target value, the difference between the current contribution target value and the preset target value is calculated to be determined as a target difference value, and an air dam optimization value is determined according to the target difference value and fed back.
Further, the air dam digital model does not meet a preset target value, the difference between the second wind resistance coefficient and the first wind resistance coefficient is derived to be determined as a current contribution target value, the difference between the current contribution target value and the preset target value is calculated to be determined as a target difference value, and the steps of determining an air dam optimization value according to the target difference value and feeding back comprise:
and the air dam optimization value is equal to the target difference value multiplied by an adjustment standard value, and the air dam extends to a preset direction for a specified distance according to the air dam optimization value.
According to an embodiment of the invention, an air dam performance test system comprises:
the construction module is used for constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and inputting the vehicle digital model into the fluid analysis software;
the first test module is used for respectively calculating the vehicle digital model assembled with the air dam digital model to obtain a first wind resistance coefficient and the vehicle digital model not assembled with the air dam digital model to obtain a second wind resistance coefficient through the fluid analysis software;
the first judging module is used for judging whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value or not, and if so, the first executing module is executed;
the first execution module is used for acquiring pressure data of each unit point on the air dam digital-analog stress surface, obtaining a deformed air dam digital-analog according to the pressure data of each unit point through preset mapping treatment, and determining the deformed air dam digital-analog as a second air dam digital-analog;
the second test module is used for inputting the second air dam digital model and the vehicle digital model into the fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient;
the second judging module is used for judging whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value or not, and if so, the second executing module is executed;
and the second execution module is used for storing modeling data of the air dam digital-analog.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the air dam performance test method described above.
The invention also provides air dam performance testing equipment, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor.
Compared with the prior art: the invention provides a method for testing the performance of an air dam, which is characterized in that the air resistance coefficient test is respectively carried out on a constructed air dam digital model and a vehicle digital model, under the premise of ensuring the same wind speed, the air resistance coefficient test is respectively carried out on the vehicle provided with the air dam and the vehicle not provided with the air dam to obtain a first air resistance coefficient and a second air resistance coefficient, then whether the difference between the second air resistance coefficient and the first air resistance coefficient meets a preset 30cts target value is judged, if the difference meets the preset 30cts target value, the subsequent test is carried out, if the difference does not meet the preset 30cts target value, the current air dam digital model is unqualified and is required to be redesigned and uploaded, then the pressure data of each unit point on a pneumatic dam digital model bearing surface is obtained, the second air dam digital model is obtained according to the pressure data of each unit point through mapping treatment, then the second air dam digital model is obtained according to the same mode, whether the difference between the second air dam digital model and the third air resistance coefficient meets the preset 30cts target value, if the difference meets the air dam digital model data is met, the data is used for improving the subsequent air dam production performance, and the air dam performance is designed accurately, and the air resistance performance is poor, and the conventional air performance is designed accurately is solved, and the problem is solved, and the air performance is bad, and the performance is caused by the conventional air performance is designed.
Drawings
FIG. 1 is a flow chart of a method for testing performance of an air dam according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for testing performance of an air dam according to a second embodiment of the present invention;
FIG. 3 is a block diagram of a fourth embodiment of an air dam performance testing system according to the present invention;
fig. 4 is a schematic diagram of a test scenario in the first embodiment of the present invention.
The following detailed description will further illustrate the invention with reference to the above-described drawings.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a method for testing performance of an air dam according to a first embodiment of the present invention is shown, and the method specifically includes steps S01-S07.
And S01, constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and the air dam digital model, and inputting the vehicle digital model and the air dam digital model into fluid analysis software.
In some alternative embodiments of the present invention, for the construction of the vehicle digital model and the air dam digital model, an operator may complete the construction of the vehicle digital model and the air dam digital model by, but not limited to, modeling software such as CAD, CATIA, CAS digital model, and the like, which are conventional digital-to-analog software as will be understood by those skilled in the art.
In specific implementation, an operator can model a vehicle and an air dam through modeling software and respectively obtain a vehicle digital-analog file and an air dam digital-analog file, then the digital-analog files can be converted into readable CAD data through shift conversion and then imported into CAE software, and CAE grid software is also called, wherein CAE is Computer Aided Engineering, and is an approximate numerical analysis method for solving the problems of complex engineering and analysis and calculation of mechanical properties such as structural strength, rigidity, buckling stability, dynamic response, heat conduction, three-dimensional multi-body contact, elastoplasticity and the like of a product by computer assistance, and optimizing design of structural properties, and the like.
Further, after the vehicle digital model and the air dam digital model are input into the fluid analysis software, the fluid analysis software constructs a test scene of simulating the digital model according to the digital model data, specifically, as shown in fig. 4 of the specification, in some alternative embodiments, the ratio of the vehicle digital model to the using boundary is 1:7, the width of two sides is 1:7, the front 1:3, and the rear 1:8 may be constructed, then the vehicle digital model is led into the using boundary, the vehicle digital model head orientation position in the using boundary is determined as a speed inlet, the vehicle digital model parking space orientation position is determined as a pressure outlet, wherein the speed condition of the speed inlet is set to 100km/h, the pressure of the pressure outlet is set to 0pa, the side surface and the top of the using boundary are set as heat insulation walls, and it should be noted that the heat cannot pass through the walls, and the walls do not participate in heat exchange. According to the thermodynamic law, heat exchange occurs between solids/fluids with temperature difference, so that when the speed condition of the inlet speed of the subsequent simulation speed is 100km/h, the whole surface of the digital model of the vehicle can present corresponding stress feedback, and the wind resistance coefficient of the vehicle at the current wind speed can be obtained subsequently.
Step S02, calculating the vehicle digital model equipped with the air dam digital model by fluid analysis software to obtain a first wind resistance coefficient and calculating the vehicle digital model not equipped with the air dam digital model to obtain a second wind resistance coefficient.
In some alternative embodiments of the present invention, the fluid analysis software may be, but is not limited to, STAR-ccm+ which is a new generation CFD solver developed by CD-adapco corporation using the most advanced continuous medium mechanical numerical technique (computational continuum mechanics algorithms) that is implemented with the latest mesh generation technique originally created by CD-adapco, and may perform a series of operations required for generating meshes, such as complex shape data input, surface preparation, such as wrapping (shape retention, geometry simplification, hole-filling, component contact prevention, leakage inspection, etc.), surface mesh reconstruction, and automatic mesh generation (including polyhedral mesh, hexahedral core mesh, dodecahedral core mesh, tetrahedral mesh).
In the specific implementation, in combination with the test conditions set in the boundary in the step S02, the euler method is used to perform steady state CFD calculation on the windage of the front of the vehicle digital model equipped with the air dam digital model to obtain a first windage coefficient, and the euler method is used to perform steady state CFD calculation on the windage of the front of the vehicle digital model not equipped with the air dam digital model to obtain a second windage coefficient, and in addition, for the description of the euler method, the euler formula used in the euler method refers to a plurality of formulas named by euler, among which the most notable formulas are: euler argument formula in complex function-Euler polyhedron formula in topology, euler function formula in elementary theory, which links complex, exponential and trigonometric functions.
Step S03, judging whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value, if so, executing step S04.
In a specific implementation, the second wind resistance coefficient and the first wind resistance coefficient calculated in the step S02 are taken, whether the difference obtained by subtracting the first wind resistance coefficient from the second wind resistance coefficient, that is, the wind resistance contribution value of the air dam is greater than or equal to 30cts, where, for cts, it is required to be explained that 0.001 is marked as 1ct in the industry, and is plural when exceeding 1ct, such as 2ct, S needs to be added after ct and marked as 2cts (ct is count, and the number is represented), for example, when the second wind resistance coefficient, that is, the wind resistance coefficient of the vehicle not equipped with the air dam, is measured as 0.420, the first wind resistance coefficient is 0.388, the difference is obtained as 32cts, and 30cts can be corresponding to 0.3L/100km as a reference, so as to judge the fuel consumption condition after the air dam is currently installed, and finally, it is determined that 32cts is greater than or equal to 30cts meets the requirement and the step S04 is executed.
Step S04, obtaining pressure data of each unit point on the air dam digital-analog stress surface, obtaining a deformed air dam digital-analog according to the pressure data of each unit point through preset mapping treatment, and determining the deformed air dam digital-analog as a second air dam digital-analog.
In specific implementation, by acquiring pressure data of each unit point on the air dam digital-analog stress surface, in some optional embodiments, the pressure data of each unit point can be mapped to the air dam digital-analog surface by using a field mapping method (field map) under a hypermesh or abaqus module by using a CSV table, then a discrete type is selected under a field interface, a CSV format is selected for a file format, and the pressure data is imported; and (3) building an air dam structural strength model, obtaining the deformed air dam digital model and determining the air dam digital model as a second air dam digital model.
The hypermesh software is a product of Altair company in the United states, is a world-leading and powerful CAE application software package, is also an innovative and open enterprise-level CAE platform, integrates various tools required by design and analysis, has incomparable performance and high openness, flexibility and friendly user interfaces, and the abaqus is a powerful engineering simulation finite element software which solves the problem ranging from relatively simple linear analysis to a plurality of complex nonlinear problems. ABAQUS comprises a rich library of cells that can simulate arbitrary geometries. And possess various types of material model libraries that can simulate the performance of typical engineering materials including metal, rubber, polymeric materials, composite materials, reinforced concrete, compressible superelastic foam materials, and geological materials such as soil and rock, as a general-purpose simulation tool, ABAQUS can solve a number of structural (stress/displacement) problems, and can simulate many problems in other engineering fields, such as heat conduction, mass diffusion, thermoelectric coupling analysis, acoustic analysis, geotechnical mechanical analysis (fluid permeation/stress coupling analysis), and piezoelectric medium analysis, while CVS is a C/S system, which is a common code version control software. Mainly used in open source software management. Similar code version control software exists as a subversion. A plurality of developers record file versions through a central version control system, so that the aim of ensuring file synchronization is fulfilled. The CVS version control system is a GNU software package and is mainly used for maintaining source codes in a multi-person development environment. Most software development companies use SVN instead of CVS due to the previous problem of CVS coding.
And S05, inputting the second air dam digital model and the vehicle digital model into fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient.
In the specific implementation, the second air dam digital model, that is, the air dam digital model after deformation is led into the step S02 to calculate the third wind resistance coefficient of the second air dam digital model.
Step S06, judging whether the difference between the second windage coefficient and the third windage coefficient meets the preset target value, if yes, executing step S07.
And S07, storing modeling data of the air dam digital-analog.
In the specific implementation, whether the difference between the second wind resistance coefficient and the third wind resistance coefficient still meets 30cts is judged, and it can be understood that whether the contribution target value provided by the air dam after deformation still meets 30cts is judged, if yes, the modeling data of the current air dam digital-analog is saved for subsequent production, and if not, the air dam performance test is ended.
In summary, in the air dam performance test method in the above embodiment, wind resistance coefficient tests are respectively performed on the constructed air dam digital model and the vehicle digital model, under the premise of ensuring that the wind speeds are the same, wind resistance coefficient tests are respectively performed on the vehicle with the air dam and the vehicle without the air dam to obtain a first wind resistance coefficient and a second wind resistance coefficient, then whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset 30cts target value is judged, if the difference meets the preset 30cts target value, the subsequent test is performed, if the difference does not meet the preset 30cts target value, the current air dam digital model is unqualified and is required to be redesigned and uploaded, then the air dam digital model is obtained according to the pressure data of each unit point on the air dam digital model stress surface and is determined to be a second air dam digital model according to the pressure data of each unit point after deformation, then the second air dam digital model is obtained according to the same mode, and whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets 30cts target value is judged, if the difference meets the preset 30cts target value, the air dam digital model is saved, the actual air dam performance is improved, the problem of the air dam performance is accurately designed, and the air dam performance is not required to be low, and the actual performance is solved, and the air performance is bad in the actual performance is designed, and the air performance is required to be low.
Example two
Referring to fig. 2, a method for testing performance of an air dam according to a second embodiment of the present invention is shown, and the method specifically includes steps S11-S20.
And S11, constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and the air dam digital model, and inputting the vehicle digital model and the air dam digital model into fluid analysis software.
Step S12, determining the use boundary of the fluid analysis software according to the vehicle digital-to-analog size and the preset proportion, adding preset test conditions into the use boundary to determine the use boundary as an aerodynamic model, respectively carrying out preset grid modeling processing on the vehicle digital-to-analog and the air dam digital-to-analog, and inputting the model into the aerodynamic model.
And S13, establishing a cuboid calculation domain outside the vehicle digital model according to the vehicle digital model, and determining the vehicle digital model as a use boundary, wherein the ratio of the vehicle digital model to the use boundary is 1:7, the width of the two sides is 1:3, and the width of the two sides is 1:8, then guiding the vehicle digital model into the use boundary, determining the vehicle digital model head orientation position in the use boundary as a speed inlet, and determining the vehicle digital model parking position orientation position as a pressure outlet.
Wherein the speed condition of the speed inlet is set to 100km/h, the pressure of the pressure outlet is set to 0pa, the side face and the top of the using boundary are set as heat insulation wall faces, and the body surface of the vehicle digital model is set as the heat insulation wall faces.
Step S14, respectively performing steady-state CFD calculation on the front surface of the vehicle digital model equipped with the air dam digital model by using the Euler method through fluid analysis software, determining a first wind resistance coefficient, and performing steady-state CFD calculation on the front surface of the vehicle digital model not equipped with the air dam digital model, and determining a second wind resistance coefficient.
Wherein the fluid analysis software comprises at least STAR-CCM+.
Step S15, judging whether the difference between the second windage coefficient and the first windage coefficient meets a preset target value, if so, executing step S16, and if not, executing step S17.
And S16, acquiring pressure data of each unit point on the air dam digital-analog stress surface, mapping the pressure data of each unit point to the air dam digital-analog surface by using a CSV table under a hypermesh abaqus module through a field mapping method, obtaining a deformed air dam digital-analog, determining the deformed air dam digital-analog as a second air dam digital-analog, and executing the step S18.
It should be noted that, the step is a first performance test of the air dam, if the contribution value of the air dam is greater than or equal to 30cts, the pressure data of each unit point on the air dam digital-analog stress surface is obtained, the pressure data of each unit point is mapped to the air dam digital-analog surface by using a CSV table under the hypermesh abaqus module through a field mapping method, and the deformed air dam digital-analog is obtained and is determined as a second air dam digital-analog.
And S17, determining the difference between the second windage coefficient and the first windage coefficient as a current contribution target value, calculating the difference between the current contribution target value and the preset target value as a target difference value, determining an air dam optimization value according to the target difference value and feeding back.
For example, when the difference between the second wind resistance coefficient and the first wind resistance coefficient is 28cts less than 30cts, the difference between 30cts and 28cts is calculated to be equal to 2cts, and the 2cts is determined as the target difference, and then according to the formula: the gas dam optimization value is equal to the target difference value multiplied by an adjustment standard value, specifically 2*5 is equal to 10 units (mm), wherein the adjustment standard value is 1ct and corresponds to 5mm, finally, according to the gas dam optimization value of 10mm as an optimization adjustment value, a subsequent operator can adjust the current gas dam digital-analog according to the feedback optimization value, if the gas dam extends towards the Z direction for 10mm distance, the gas dam can be integrally stretched specifically by referring to the Z direction in digital-analog software, the optimization value is only used as a reference value, so that the gas dam digital-analog adjustment efficiency of the subsequent operator and the accuracy of controlling the gas dam digital-analog adjustment process are improved, and the gas dam digital-analog is specifically adjusted by referring to the actual adjustment value.
And S18, inputting the second air dam digital model and the vehicle digital model into fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient.
Step S19, judging whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value, if so, executing step S20, and if not, returning to execute step S17.
It should be noted that, when returning to step S17, the first windage coefficient in the step may be replaced by the third windage coefficient.
And step S20, storing modeling data of the air dam digital-analog.
In summary, the first difference between the air dam performance test method and the embodiment is that, in order to facilitate the subsequent operator to adjust the air dam digital-analog that fails the performance test, the following formula is set: the air dam optimization value is equal to the target difference value multiplied by the adjustment standard value, and the air dam optimization value can be obtained according to the product of the calculated target difference value and the adjustment standard value, so that an operator can adjust the air dam digital model which does not meet the requirement according to the optimization value, the air dam digital model adjustment efficiency of the subsequent operator is improved, the accuracy of the air dam digital model adjustment process is controlled, and the situation that the operator needs to design the air dam digital model again or the data deviation is large because the original air dam digital model data is exceeded in the design process is avoided.
Example III
In another aspect, referring to fig. 3, the present invention further provides an air dam performance testing system, which includes:
the construction module 11 is used for constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and inputting the vehicle digital model into fluid analysis software;
a first test module 12, configured to calculate, by the fluid analysis software, a first windage coefficient obtained by the vehicle digital model equipped with the air dam digital model and a second windage coefficient obtained by the vehicle digital model not equipped with the air dam digital model;
a first judging module 13, configured to judge whether a difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value, and if yes, execute a first executing module;
the first execution module 14 obtains pressure data of each unit point on the air dam digital-analog stress surface, obtains a deformed air dam digital-analog according to the pressure data of each unit point through preset mapping treatment, and determines the deformed air dam digital-analog as a second air dam digital-analog;
the second test module 15 is configured to input the second air dam digital model and the vehicle digital model into the fluid analysis software, and calculate the vehicle digital model equipped with the second air dam digital model through the fluid analysis software to obtain a third windage coefficient;
a second judging module 16, configured to judge whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value, and if yes, execute a second executing module;
and the second execution module 17 is used for storing modeling data of the air dam digital-analog.
Further, in some alternative embodiments of the present invention, the building block 11 further comprises:
the first construction processing unit is used for determining the use boundary of the fluid analysis software according to the vehicle digital-to-analog size and the preset proportion, adding preset test conditions into the use boundary to determine an aerodynamic model, respectively carrying out preset grid modeling processing on the vehicle digital-to-analog and the air dam digital-to-analog, and inputting the model into the aerodynamic model;
the regular definition unit is used for establishing a cuboid calculation domain outside the vehicle digital-analog, and determining the usage boundary, wherein the ratio of the vehicle digital-analog to the usage boundary is 1:7, the width of the two sides is 1:3, the width of the two sides is 1:8, the vehicle digital-analog is guided into the usage boundary, the direction of the vehicle digital-analog head in the usage boundary is determined to be a speed inlet, and the direction of the vehicle digital-analog parking place is determined to be a pressure outlet.
Further, in some alternative embodiments of the present invention, the first test module 12 further includes:
and the calculating unit is used for respectively carrying out steady-state CFD calculation on the front surface of the vehicle digital model assembled with the air dam digital model by adopting an Euler method through the fluid analysis software, determining a first wind resistance coefficient, and carrying out steady-state CFD calculation on the front surface of the vehicle digital model not assembled with the air dam digital model, and determining a second wind resistance coefficient.
Further, in some alternative embodiments of the present invention, the first determining module 13 further includes:
the third execution module is used for leading out the difference between the second wind resistance coefficient and the first wind resistance coefficient to be determined as a current contribution target value when the air dam digital model does not meet a preset target value, calculating the difference between the current contribution target value and the preset target value to be determined as a target difference value, determining an air dam optimization value according to the target difference value and feeding back;
and the correction optimizing unit is used for multiplying the target difference value by an adjustment standard value through the air dam optimizing value and extending the air dam to a preset direction for a specified distance according to the air dam optimizing value.
Further, in some alternative embodiments of the present invention, the first determining module 13 further includes:
and the fourth execution module is used for returning to execute the third execution module and replacing the first wind resistance coefficient in the third execution module with a third wind resistance coefficient.
Example IV
In another aspect, the present invention provides a readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method according to any one of the first to second embodiments.
Example five
In another aspect, the present invention provides an air dam performance testing apparatus, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the steps of the method according to any one of the first to second embodiments.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
Those of skill in the art will appreciate that the logic and/or steps represented in the flow diagrams or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof.
In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (8)
1. A method for testing performance of an air dam, the method comprising:
constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and the air dam digital model, and inputting the vehicle digital model and the air dam digital model into fluid analysis software;
determining a using boundary of the fluid analysis software according to the vehicle digital-to-analog size and a preset ratio, and adding a preset test condition into the using boundary to determine an aerodynamic model;
respectively carrying out preset grid modeling treatment on the vehicle digital model and the air dam digital model, and then inputting the vehicle digital model and the air dam digital model into the aerodynamic model;
establishing a cuboid calculation domain outside the vehicle digital model according to the vehicle digital model, determining a using boundary, wherein the ratio of the vehicle digital model to the using boundary is 1:7, the width of two sides is 1:7, the width of the front 1:3 and the width of the rear 1:8, then guiding the vehicle digital model into the using boundary, determining the vehicle digital model head direction position in the using boundary as a speed inlet, determining the vehicle digital model parking position direction position as a pressure outlet, wherein the speed condition of the speed inlet is set to 100km/h, the pressure of the pressure outlet is set to 0pa, the side surface and the top of the using boundary are set to be heat-insulating wall surfaces, and the vehicle body surface of the vehicle digital model is set to be heat-insulating wall surfaces;
respectively calculating the vehicle digital model assembled with the air dam digital model through the fluid analysis software to obtain a first wind resistance coefficient and the vehicle digital model not assembled with the air dam digital model to obtain a second wind resistance coefficient;
judging whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value or not;
if yes, acquiring pressure data of each unit point on the air dam digital-analog stress surface, and obtaining a deformed air dam digital-analog and determining the deformed air dam digital-analog as a second air dam digital-analog through preset mapping treatment according to the pressure data of each unit point;
inputting the second air dam digital model and the vehicle digital model into the fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient;
judging whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value or not;
if yes, the modeling data of the air dam digital model is saved.
2. The air dam performance testing method according to claim 1, wherein the step of calculating, by the fluid analysis software, the vehicle digital model equipped with the air dam digital model to obtain a first windage coefficient and the vehicle digital model not equipped with the air dam digital model to obtain a second windage coefficient, respectively, includes:
the fluid analysis software includes at least STAR-CCM+;
and respectively carrying out steady-state CFD calculation on the front surface of the vehicle digital model assembled with the air dam digital model by adopting an Euler method through the fluid analysis software, determining a first wind resistance coefficient, and carrying out steady-state CFD calculation on the front surface of the vehicle digital model not assembled with the air dam digital model, and determining a second wind resistance coefficient.
3. The air dam performance testing method according to claim 1, wherein the step of judging whether the difference between the second windage coefficient and the first windage coefficient satisfies a preset target value further comprises:
if so, acquiring pressure data of each unit point on the air dam digital-analog stress surface, mapping the pressure data of each unit point to the air dam digital-analog surface by using a CSV table under a hypermesh abaqus module through a field mapping method, obtaining a deformed air dam digital-analog and determining the deformed air dam digital-analog as a second air dam digital-analog.
4. A method of testing dam performance according to claim 3, wherein the step of determining whether the difference between the second windage coefficient and the first windage coefficient meets a preset target value further comprises:
if not, the air dam digital model does not meet the preset target value, the difference between the second wind resistance coefficient and the first wind resistance coefficient is led out to be determined as a current contribution target value, the difference between the current contribution target value and the preset target value is calculated to be determined as a target difference value, and an air dam optimization value is determined according to the target difference value and fed back.
5. The air dam performance testing method according to claim 4, wherein the air dam modulus does not satisfy a preset target value, the difference between the second windage coefficient and the first windage coefficient is derived to be determined as a current contribution target value, the difference between the current contribution target value and the preset target value is calculated to be determined as a target difference value, and the step of determining an air dam optimization value according to the target difference value and feeding back comprises:
and the air dam optimization value is equal to the target difference value multiplied by an adjustment standard value, and the air dam extends to a preset direction for a specified distance according to the air dam optimization value.
6. An air dam performance testing system, the system comprising:
the construction module is used for constructing a vehicle digital model and an air dam digital model, acquiring the vehicle digital model and inputting the vehicle digital model into the fluid analysis software;
the first construction processing unit is used for determining the use boundary of the fluid analysis software according to the vehicle digital-to-analog size and the preset proportion, adding preset test conditions into the use boundary to determine an aerodynamic model, respectively carrying out preset grid modeling processing on the vehicle digital-to-analog and the air dam digital-to-analog, and inputting the model into the aerodynamic model;
a regular defining unit, configured to establish a cuboid calculation domain outside the vehicle digital model according to the vehicle digital model, and determine a usage boundary, wherein the ratio of the vehicle digital model to the usage boundary is 1:7, the width of two sides is 1:7, the front is 1:3, the rear is 1:8, the vehicle digital model is then guided into the usage boundary, the vehicle digital model head direction position in the usage boundary is determined as a speed inlet, the vehicle digital model parking position direction position is determined as a pressure outlet, wherein the speed condition of the speed inlet is set to 100km/h, the pressure of the pressure outlet is set to 0pa, the side surface and the top of the usage boundary are set as heat insulation wall surfaces, and the vehicle body surface of the vehicle digital model is set as heat insulation wall surfaces;
the first test module is used for respectively calculating the vehicle digital model assembled with the air dam digital model to obtain a first wind resistance coefficient and the vehicle digital model not assembled with the air dam digital model to obtain a second wind resistance coefficient through the fluid analysis software;
the first judging module is used for judging whether the difference between the second wind resistance coefficient and the first wind resistance coefficient meets a preset target value or not, and if so, the first executing module is executed;
the first execution module is used for acquiring pressure data of each unit point on the air dam digital-analog stress surface, obtaining a deformed air dam digital-analog according to the pressure data of each unit point through preset mapping treatment, and determining the deformed air dam digital-analog as a second air dam digital-analog;
the second test module is used for inputting the second air dam digital model and the vehicle digital model into the fluid analysis software, and calculating the vehicle digital model assembled with the second air dam digital model through the fluid analysis software to obtain a third wind resistance coefficient;
the second judging module is used for judging whether the difference between the second wind resistance coefficient and the third wind resistance coefficient meets a preset target value or not, and if so, the second executing module is executed;
and the second execution module is used for storing modeling data of the air dam digital-analog.
7. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the air dam performance test method according to any one of claims 1-5.
8. An air dam performance testing apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the air dam performance testing method of any one of claims 1-5 when executing the program.
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