CN112632697A - Hole pattern optimization method and device for jet vortex generator in gas compressor - Google Patents
Hole pattern optimization method and device for jet vortex generator in gas compressor Download PDFInfo
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Abstract
The invention relates to a hole pattern optimization method and a device of a jet vortex generator in a gas compressor, which comprises the steps of sampling by adopting an orthogonal method and generating an initial hole pattern; carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe; combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional calculation grid based on the jet pipe pipeline and the gas compressor; acquiring flow field parameters corresponding to the three-dimensional computational grid and forming an objective function based on the flow field parameters and target parameters to be optimized; establishing a proxy model based on the initial hole pattern and the objective function; and optimizing the proxy model and acquiring the optimal value of the hole pattern. According to the invention, the optimal value is obtained through calculation to optimize the hole pattern of the jet vortex generator, so that the control effect of the jet vortex generator is improved, the flow loss is reduced, and the pneumatic benefit is improved.
Description
Technical Field
The invention relates to the field of mechanical flow control of impellers, in particular to a hole pattern optimization method and device for an internal jet vortex generator of an air compressor.
Background
The requirement on the high performance of modern aeroengines leads the gas compressor to develop towards the direction of high load all the time, and the higher load requirement often leads to large-scale flow separation in a cascade channel, thereby restricting the improvement of the performance of the gas compressor and reducing the working stability of the gas compressor. Local flow control techniques are widely used to improve compressor performance. Among them, the local flow control method can be divided into active control and passive control according to whether there is introduction of external energy. Active flow control, which primarily inhibits separation by introducing external energy, has the advantage of being flexible to apply and can be adjusted as desired, but often requires the introduction of external devices and momentum, increasing the difficulty of design and installation. The jet vortex generator is used as an effective active control technology and is widely applied to the control research of the internal and external flows.
In the related art, the research on the jet vortex generator is mainly the research on jet parameters (jet angle and position), a small amount of research on jet hole patterns is limited to the structure of the slot and the hole pattern, and optimization research on the hole pattern and a related optimization strategy are lacked.
Researches find that the hole pattern of the jet vortex generator is an important parameter influencing the control effect of the jet vortex generator, and the control effect of the jet vortex generator can be further improved and the flow loss can be reduced by optimizing the hole pattern, so that the pneumatic benefit is improved.
Disclosure of Invention
The embodiment of the invention provides a hole pattern optimization method and device for a jet vortex generator in a gas compressor, which are used for optimizing a hole pattern by calculating and obtaining an optimal value, so that the control effect of the jet vortex generator is improved, the flow loss is reduced, and the pneumatic benefit is improved.
In a first aspect, a hole pattern optimization method for a jet vortex generator in a compressor is provided, which includes: sampling by adopting an orthogonal method and generating an initial hole pattern; carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe; combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional calculation grid based on the jet pipe pipeline and the gas compressor; acquiring flow field parameters corresponding to the three-dimensional computational grid and forming an objective function based on the flow field parameters and target parameters to be optimized; establishing a proxy model based on the initial hole pattern and the objective function; and optimizing the proxy model and acquiring the optimal value of the hole pattern.
In some embodiments, before optimizing the proxy model and obtaining the optimal value of the pass, the method further includes: and updating the proxy model by adopting an optimization and point adding criterion.
In some embodiments, optimizing the proxy model and obtaining the optimal value of the pass further includes: optimizing the updated agent model and obtaining a point-adding optimized value; and judging whether a convergence condition is met, if so, taking the point adding optimized value as the optimal value of the hole pattern, and if not, continuously updating the proxy model by adopting an optimized point adding criterion.
In some embodiments, the proxy model is optimized and the optimal value of the hole pattern is obtained using a binary-coded optimization algorithm, and the binary-coded optimization algorithm includes a genetic algorithm.
In some embodiments, the optimized dotting criteria comprises a maximum expected improvement dotting criteria.
In some embodiments, the updating the proxy model by using the optimization and point criteria includes: and automatically updating the agent model based on the script file of the jet pipe pipeline and the script file of the three-dimensional calculation grid.
In some embodiments, the coupling the jet pipe line with the compressor includes: determining the placement angle and position of the jet pipe pipeline in the compressor; determining the parameters of the compressor cascade; and combining the jet pipe pipeline with the air compressor according to the placing angle and the placing position and the parameters of the blade cascade of the air compressor.
In some embodiments, the obtaining flow field parameters corresponding to the three-dimensional computational grid includes: and calculating the flow field parameters corresponding to the three-dimensional calculation grid by adopting a three-dimensional CFD numerical value.
In a second aspect, a hole type optimizing device for a jet vortex generator in a compressor is provided, which includes: a sampling module for sampling using an orthogonal method and generating an initial pass; the jet pipe pipeline construction module is used for carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe pipeline; the three-dimensional computational grid modeling module is used for combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional computational grid based on the jet pipe pipeline and the gas compressor; the target function construction module is used for acquiring flow field parameters corresponding to the three-dimensional calculation grid and forming a target function based on the flow field parameters and target parameters to be optimized;
an agent model construction module; the proxy model is used for establishing a proxy model based on the initial hole type and the objective function;
and the optimization module is used for optimizing the proxy model by adopting an optimization algorithm of binary coding and acquiring the optimal value of the hole pattern.
In some embodiments, the optimization module further comprises an update module for updating the proxy model using an optimization and point criterion.
The technical scheme provided by the invention has the beneficial effects that:
the embodiment of the invention provides a hole pattern optimization method for a jet vortex generator in a gas compressor, which comprises the steps of carrying out three-dimensional processing on an initial hole pattern to obtain a jet pipe pipeline, combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional calculation grid, thereby obtaining flow field parameters corresponding to the three-dimensional calculation grid. And forming an objective function based on the flow field parameters and the target parameters to be optimized, establishing a proxy model based on the initial hole pattern and the objective function, optimizing the proxy model by adopting an optimization algorithm, and acquiring the optimal value of the hole pattern. The optimized hole pattern can further improve the control effect of the jet vortex generator, reduce the flow loss and improve the pneumatic benefit.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a hole type optimization method for a jet vortex generator in a gas compressor according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an initial hole pattern sample and parameters provided by an embodiment of the invention;
FIG. 3 is a diagram illustrating exemplary initial hole pattern shapes and corresponding binary parameters provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of the arrangement of a jet vortex generator inside a compressor cascade according to an embodiment of the present invention;
FIG. 5 is a parameter diagram of an optimization process for controlling the circumferential length of an orifice under low flow conditions provided by an embodiment of the present invention;
FIG. 6 is a radial profile of the total pressure loss coefficient during the optimization process provided by an embodiment of the present invention;
FIG. 7 is a parameter diagram of a symmetric pass optimization process provided by an embodiment of the present invention;
FIG. 8 is a result diagram of the optimal hole pattern of the symmetrical hole patterns provided by the embodiment of the present invention;
FIG. 9 is a parameter diagram of an asymmetric pass optimization process provided by an embodiment of the present invention;
FIG. 10 is a graph showing the results of the optimum pass for the asymmetric pass provided by the embodiment of the present invention;
fig. 11 is a schematic diagram of a hole type optimization device of a compressor internal jet vortex generator according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a hole pattern optimization method for a jet vortex generator in a compressor, including the steps of:
s10, sampling by adopting an orthogonal method and generating an initial hole pattern;
s20, carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe;
s30, combining the jet pipe pipeline with the compressor and then drawing a three-dimensional calculation grid based on the jet pipe pipeline and the compressor;
s40, acquiring flow field parameters corresponding to the three-dimensional computational grid and forming an objective function based on the flow field parameters and the target parameters to be optimized;
s50, establishing a proxy model based on the initial hole pattern and the objective function;
and S60, optimizing the proxy model and acquiring the optimal value of the hole pattern.
It should be noted that, before step S10, the placement angle and position of the jet vortex generator inside the compressor cascade, that is, the position and angle of the jet hole to be optimized, are determined. And meanwhile, parameters of the compressor cascade are determined so as to combine the jet pipe pipeline with the compressor according to the position and the angle of the jet hole to be optimized and the parameters of the compressor cascade. In step S10, an orthogonal method is used to sample and generate an initial hole pattern for providing input samples for the proxy model constructed in the subsequent steps. Combining the jet pipe pipeline with the compressor in step S30 means drawing a three-dimensional computational grid according to the position and angle of the jet pipe pipeline arranged in the compressor, where the position and angle of the jet pipe pipeline arranged in the compressor are the position and angle of the jet hole to be optimized.
In some embodiments, jet vortex generators are arranged inside the compressor cascade in the manner shown in FIG. 4. The parameters of the compressor blade cascade are shown in the table I.
Watch 1
| Parameter(s) | Numerical value (Unit) | Parameter(s) | Numerical value (Unit) |
| Chord length/C | 100.0(mm) | Geometric folding corner | 42(°) |
| Leaf height/H | 100.0(mm) | Mounting angle/gamma | 112.5(°) |
| Pitch/t | 33.0(mm) | Mach/Ma of inlet | 0.7(-) |
| Geometric inlet angle/beta1 | 132.0(°) | Reynolds number at inlet/Re | 1.5×106(-) |
In the first embodiment, a jet pipe pipeline is obtained by performing three-dimensional processing on an initial hole pattern, and a three-dimensional computational grid is drawn after the jet pipe pipeline is combined with a gas compressor, so that flow field parameters corresponding to the three-dimensional computational grid are obtained. And forming an objective function based on the flow field parameters and the target parameters to be optimized, establishing a proxy model based on the initial hole pattern and the objective function, optimizing the proxy model by adopting an optimization algorithm, and acquiring the optimal value of the hole pattern. The optimized hole pattern can further improve the control effect of the jet vortex generator, reduce the flow loss and improve the pneumatic benefit.
In some embodiments, the sampling in step S10 by the orthogonal method may be random sampling by a B-spline method. Both symmetrical and asymmetrical initial hole patterns may be generated in some embodiments. When the parameterization design is carried out according to actual needs, two constraint molded lines, namely one large constraint molded line and one small constraint molded line, can be generated, and the maximum constraint molded line and the minimum constraint molded line correspond to the geometric maximum constraint molded line and the geometric minimum constraint molded line of the jet hole outlet, and control points are uniformly distributed on the molded lines. It may be taken that the binary integer 1 indicates that the inner control point is selected and 0 indicates that the outer control point is selected. When the control points are determined, a closed B-spline curve may be generated. According to its characteristics, the closed B-spline curve must lie within the constraint curve. For a symmetrical initial pass, the resulting curve is symmetrical since the control points are symmetrical. For the asymmetric pass, the constraint curve is the same as that of the symmetric pass, and the control point is asymmetric, so that the generated curve is asymmetric. The generated B-spline curves, which are the initial pass, can also be scaled as needed.
Specifically, as shown in fig. 2, when sampling is performed based on the orthogonal method, the randomly obtained samples include 40 symmetrical hole patterns and 60 asymmetrical hole patterns. And (2) generating an initial hole pattern by adopting a B spline method, wherein during parametric design, two circular molded lines are generated firstly, the radiuses of the two circular molded lines are respectively 2 and 1, 32 points are uniformly distributed on the molded lines corresponding to the maximum and minimum constraint molded lines of the outlet hole pattern geometry of the jet hole, and the molded lines are control points and are the basis of outlet hole pattern parametric design. Taking one of the samples as an example, the conversion of N72071 to a binary number can be represented as 10001100110000111 for determining the control point. Binary integer 1 indicates that the inner control point is selected and 0 indicates that the outer control point is used. When the control points are determined, a closed B-spline curve may be generated. According to its characteristics, the closed B-spline curve must lie within the constraint curve. Since the control points are symmetrical, the resulting curve is symmetrical. The constraint curve of the asymmetric hole is the same as that of the symmetric hole but the control point is asymmetric, so the generated curve is asymmetric. And finally, scaling the B-spline curve according to the required length and area. It is very effective to generate a binary parameter optimized pass using B-spline curves. On the one hand, the appropriate order and number of control points can produce various and smooth shapes of the initial hole pattern, as shown in fig. 3, and can generate shapes similar to rectangles, hearts and pentagons; on the other hand, the initial hole pattern obtained by parameter sampling based on the binary code is suitable for genetic algorithm optimization and is convenient to match with the subsequent optimization process.
In some embodiments, the three-dimensional processing of the initial hole pattern in step S20 may employ three-dimensional modeling software to stretch the initial hole pattern to obtain the jet pipe line. Meanwhile, the script file of the jet pipe pipeline is reserved for subsequent automatic optimization. Meanwhile, step S30 may also retain a script file for drawing the three-dimensional computational mesh for subsequent automatic optimization.
Further, in step S40, three-dimensional CFD calculation software may be used to obtain flow field parameters corresponding to the three-dimensional calculation grid, where the flow field parameters include total pressure loss coefficient, static pressure coefficient, blocking coefficient, and the like.
In some embodiments, the outlet total pressure loss coefficient may be selected to form an objective function for the target parameter to be optimized. The total pressure loss coefficient calculation formula is shown in formula (1), wherein P is mass average total pressure, m is mass flow, rho is airflow density, V is airflow speed, and subscripts 0, 1 and 2 respectively represent parameters of a cascade inlet, a jet pipe inlet and a cascade outlet.
Further, the agent model described in step S50 may be a Kriging agent model.
In some embodiments, before step S60, step S60a is further included for updating the proxy model using the optimized dotting criterion.
It should be noted that the dotting criteria described in step S60a may be a maximum desired increase dotting criterion, an objective function minimum criterion, a desired improvement criterion, a maximum probability increase criterion, a statistical lower limit minimum criterion, and a root mean square error maximum criterion, or a parallel dotting criterion, including a parallel desired increase criterion, may be adopted, so that multiple points may be added for updating each time.
Further, the updating of the proxy model in step S60a may be an automatic updating, and the automatic updating may be performed based on the script file of the jet pipe pipeline and the script file of the three-dimensional computation grid, so as to improve the efficiency of the optimization.
And the optimization effect can be further improved by updating the proxy model by adopting an optimization and point adding criterion.
In some embodiments, step S60 further includes the steps of:
s601, optimizing the updated agent model and obtaining a point adding optimized value;
and S602, judging whether a convergence condition is met, if so, taking the dotting optimization value as the optimal value of the hole pattern, and if not, continuously updating the proxy model by adopting an optimization dotting criterion.
Further, the proxy model is optimized by using a binary-coded optimization algorithm and a hole pattern optimal value is obtained, and the binary-coded optimization algorithm comprises a genetic algorithm.
Specifically, a GA genetic algorithm can be used to obtain the point-added optimized value. The convergence condition may take the absolute value or relative value of the dotting criterion or set the upper limit of the number of steps of the optimization step.
In one embodiment, the total pressure loss coefficient is used as a parameter to be optimized, an objective function is established, a GA genetic algorithm is adopted to obtain a point-adding optimization value, and the upper limit of the maximum optimization step is set to be 50 steps. As shown in fig. 5, obj. represents the total pressure loss coefficient and Number of cycles represents the Number of cycles (i.e., the Number of proxy template updates), the control pass is along the circumferential length of the compressor blade at a small flow rate where a higher aerodynamic benefit is expected to be achieved at a small flow rate. The jet flow is defined to be 0.18% of the inlet flow, the length of the outlet of the restricted jet hole along the pitch direction is consistent with that of the circular hole, and after 49 cycles, optimization converges to an optimal solution (namely, the optimal value of the hole pattern). Where the optimal individual is N6096, the binary code is 00001011111010000, and the optimal pore shape is shown as e) in fig. 3. As shown in fig. 6, the prototype scheme is a case when no jet vortex generator is installed, where the case of a circular hole means that the hole type of the installed jet vortex generator is a standard circular hole, and the optimal hole is an optimal hole type obtained through optimization according to the embodiment of the present invention; wherein H is the cascade height, z is the position of different cascade heights, and omega is the total pressure loss coefficient. Wherein, the total pressure loss coefficient of the circular hole is 0.0618, the total pressure loss coefficient after optimization is 0.0576, which is respectively improved by 7% and 10.1% compared with the circular hole and the baseline case. The optimized total pressure loss coefficients are obviously reduced along the radial distribution.
In one embodiment, the jet flow is defined as 0.3% of the inlet flow, an orthogonal method is adopted for sampling to obtain 40 symmetrical hole patterns and 60 asymmetrical hole patterns, the areas of the symmetrical hole patterns and the asymmetrical hole patterns are constrained to be consistent with the circular holes, the total pressure loss coefficient is taken as a parameter to be optimized, an objective function is established, and the maximum iteration step is set to be 260 steps. As shown in fig. 7 and 9, the total pressure loss coefficient for the circular hole was 0.05923. The agent template is updated by applying a point-adding optimization criterionIn the procedure, an EI value is set<10-5And converging the symmetrical hole patterns to an optimal solution after the iteration of 19 steps, wherein the sum of points is 110, the optimal hole sample N is 114940, the binary number is 11100000011111100, and the total pressure loss coefficient of the obtained optimal symmetrical hole pattern is 0.05787. The loss relative to the prototype was reduced by 9.6%, and relative to the circular hole by 2.3%. The asymmetric hole pattern converges to an optimal solution after iteration of 31 steps, the total addition points are 181, the optimal hole pattern sample N is 12837763, the binary number is 110000111110001110000011, and the total pressure loss coefficient of the optimal asymmetric hole pattern is 0.05780. The loss relative to the prototype was reduced by 9.7%, and relative to the circular hole by 2.5%. As shown in fig. 8 and 10, the optimal hole patterns obtained by the two methods are very similar and present a form of a three-petal flower, i.e., under the condition of large flow, the similar hole patterns are beneficial to enhancing the jet strength and improving the control effect.
As shown in fig. 11, an embodiment of the present invention further provides a hole type optimization device for a compressor internal jet vortex generator, including:
a sampling module for sampling using an orthogonal method and generating an initial pass;
the jet pipe pipeline construction module is used for carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe pipeline;
the three-dimensional computational grid modeling module is used for combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional computational grid based on the jet pipe pipeline and the gas compressor;
the target function construction module is used for acquiring flow field parameters corresponding to the three-dimensional calculation grid and forming a target function based on the flow field parameters and target parameters to be optimized;
a proxy model building module for building a proxy model based on the initial hole pattern and the objective function;
and the optimization module is used for optimizing the proxy model by adopting an optimization algorithm of binary coding and acquiring the optimal value of the hole pattern.
Further, the optimization module further comprises an updating module for updating the proxy model by adopting an optimization and point adding criterion.
In the description of the present invention, it should be noted that the terms "upper", "lower", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
It is to be noted that, in the present invention, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A hole pattern optimization method for an internal jet vortex generator of a gas compressor is characterized by comprising the following steps:
sampling by adopting an orthogonal method and generating an initial hole pattern;
carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe;
combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional calculation grid based on the jet pipe pipeline and the gas compressor;
acquiring flow field parameters corresponding to the three-dimensional computational grid and forming an objective function based on the flow field parameters and target parameters to be optimized;
establishing a proxy model based on the initial hole pattern and the objective function;
and optimizing the proxy model and acquiring the optimal value of the hole pattern.
2. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 1,
before optimizing the proxy model and obtaining the optimal value of the hole pattern, the method further includes:
and updating the proxy model by adopting an optimization and point adding criterion.
3. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 2,
optimizing the proxy model and obtaining an optimal value of a hole pattern, further comprising:
optimizing the updated agent model and obtaining a point-adding optimized value;
and judging whether a convergence condition is met, if so, taking the point adding optimized value as the optimal value of the hole pattern, and if not, continuously updating the proxy model by adopting an optimized point adding criterion.
4. A hole pattern optimization method for jet vortex generators in compressors according to claim 3,
and optimizing the proxy model by adopting a binary coding optimization algorithm and acquiring the optimal value of the hole pattern, wherein the adopted binary coding optimization algorithm comprises a genetic algorithm.
5. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 2,
the optimized dotting criteria include a maximum expected improvement dotting criteria.
6. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 2,
the updating the agent model by adopting the optimization and point adding criterion comprises the following steps:
and automatically updating the agent model based on the script file of the jet pipe pipeline and the script file of the three-dimensional calculation grid.
7. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 1,
the combination of the jet pipe pipeline and the air compressor comprises the following steps:
determining the placement angle and position of the jet pipe pipeline in the compressor;
determining the parameters of the compressor cascade;
and combining the jet pipe pipeline with the air compressor according to the placing angle and the placing position and the parameters of the blade cascade of the air compressor.
8. The hole pattern optimization method of the jet vortex generator in the compressor as claimed in claim 1,
the acquiring of the flow field parameters corresponding to the three-dimensional computational grid includes:
and calculating the flow field parameters corresponding to the three-dimensional calculation grid by adopting a three-dimensional CFD numerical value.
9. A hole pattern optimizing device of a jet vortex generator in a gas compressor is characterized by comprising:
a sampling module for sampling using an orthogonal method and generating an initial pass;
the jet pipe pipeline construction module is used for carrying out three-dimensional treatment on the initial hole pattern to obtain a jet pipe pipeline;
the three-dimensional computational grid modeling module is used for combining the jet pipe pipeline with the gas compressor and then drawing a three-dimensional computational grid based on the jet pipe pipeline and the gas compressor;
the target function construction module is used for acquiring flow field parameters corresponding to the three-dimensional calculation grid and forming a target function based on the flow field parameters and target parameters to be optimized;
a proxy model building module for building a proxy model based on the initial hole pattern and the objective function;
and the optimization module is used for optimizing the proxy model by adopting an optimization algorithm of binary coding and acquiring the optimal value of the hole pattern.
10. A hole pattern optimizing device of jet vortex generator in compressor as claimed in claim 9,
the optimization module further comprises
An update module to update the proxy model using an optimization and pointing criterion.
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