CN107644136A - Aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface - Google Patents

Aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface Download PDF

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CN107644136A
CN107644136A CN201710871339.2A CN201710871339A CN107644136A CN 107644136 A CN107644136 A CN 107644136A CN 201710871339 A CN201710871339 A CN 201710871339A CN 107644136 A CN107644136 A CN 107644136A
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mrow
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aerofoil
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张旭
苏万清
李伟
王格格
刘海龙
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Tianjin Polytechnic University
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Tianjin Polytechnic University
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Abstract

The invention discloses aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface, comprise the following steps:Using wind mill airfoil Generalized Functional integrated presentation and B-spline curves, aerofoil with blunt tail edge molded line parametric control equation group is formed;Calibration method is sat using aerofoil profile leading edge specified location is translated, boss is added in suction surface specified location, to simulate the coarse situation of blade surface;Using the shape function coefficient of aerofoil profile, B-spline curves control parameter and blunt trailing edge thickness and its on the upside of mean camber line distribution ratio as design variable, coarse aerofoil with blunt tail edge molded line optimization, aerofoil with blunt tail edge Optimization Design under the conditions of proposition blade surface is coarse are carried out using particle cluster algorithm coupling XFOIL softwares;For coarse S822R aerofoil profiles (R is coarse) optimization obtains the chord length of trailing edge thickness 2.13%, the blunt trailing edge of thickness distribution ratio 0: 1 is retrofited, liter, resistance coefficient and the lift-drag ratio before and after aerofoil optimization are studied using CFD approach.The aeroperformance of aerofoil with blunt tail edge significantly improves under the conditions of the pneumatic equipment bladess rough surface of the present invention, preferably improves wind energy utilization of the wind energy conversion system under harsh environments.

Description

Aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface
Technical field
The invention belongs to Airfoil Optimization and remodeling technical field, more particularly, to one kind using Fluid Mechanics Computation with Aerofoil with blunt tail edge Optimization Design under the conditions of the pneumatic equipment bladess rough surface of optimization algorithm.
Background technology
Wind energy conversion system is operated in the area for the bad environments such as high and cold, coastal, dust storm is frequent more, and its blade surface often adheres to The dirts such as dust, insect, sleet.Dirt increases the roughness of blade surface, and causes the annual electricity generating capacity of wind energy conversion system to drop significantly It is low.The design of the aerofoil profile low to roughness sensitiveness is carried out, attachment dirt is mitigated or eliminated to be influenceed on Airfoil Aerodynamic Performance Effective solution, and then ensure Effec-tive Function of the wind energy conversion system under the conditions of blade surface is coarse.
The direct optimization design of aerofoil profile can solve the problems, such as to be difficult to give appropriate goal pressure and rate distribution very well, but need Molded line Parameter Expression is carried out to aerofoil profile.Aerofoil profile molded line parametric method mainly has characteristic parameter description, orthogonal basis function, class Type/shape function conversion and non-homogeneous B spline curve and Generalized Functional integrated presentation etc..Domestic and foreign scholars Ribeiro, Djavareshkian, Liu, Sanaye, jade pendant Asia equality people construct aerofoil profile ginseng using B é zier functions, Hicks-Henne functions etc. Numberization expression formula, and set using the optimization of the progress aerofoil profile such as genetic algorithm combination XFOIL softwares and artificial nerve network model Meter.It is old enter et al. a kind of forms of characterization optimization new aerofoil is integrated based on aerofoil profile Generalized Functional, find compared to other aerofoil profile types Line expression, it is more easily optimized and extended to form new aerofoil profile molded line, but can not control medium and big thickness aerofoil profile very well Molded line at trailing edge.Therefore, it is old enter et al. again propose be combined using aerofoil profile Generalized Functional integrated presentation with B-spline curves, enter The optimization design of row wind mill airfoil molded line.
Blunt trailing edge Transform Type design can also be effectively improved the aeroperformance of rough surface aerofoil profile.Baker et al. experimental studies The different airfoil profiles symmetrically thickeied, it is found that appropriateness increase trailing edge thickness can increase lift-drag ratio and reduce the coarse susceptibility of leading edge.Yang Rui Et al. thin, aerofoil with blunt tail edge aeroperformance is simulated using CFD approach, as a result show that aerofoil with blunt tail edge increases maximum lift, Reduce influence of the leading edge pollution to lift efficiency.
Although researcher has carried out numerous studies to the optimization design of aerofoil profile and blunt trailing edge remodeling for many years, and optimization is set Meter and blunt trailing edge remodeling can improve the aeroperformance of rough surface aerofoil profile, but be wrapped in aerofoil with blunt tail edge molded line Parameter Expression The influence of distribution ratio and carry out the research of optimization design and be not directed to containing blunt trailing edge thickness and its on the upside of mean camber line.However, grind Study carefully blade surface it is coarse under the conditions of the optimization of aerofoil with blunt tail edge have great importance for vane design of wind turbines.
The content of the invention
Aerofoil with blunt tail edge optimization is set under the conditions of the problem to be solved in the present invention is to provide a kind of pneumatic equipment bladess rough surface Meter method, this method can use wind mill airfoil Generalized Functional integrated presentation and B-spline curves, form aerofoil with blunt tail edge molded line ginseng Numberization governing equation group;Calibration method is sat using aerofoil profile leading edge specified location is translated, boss is added in suction surface specified location, To simulate the coarse situation of blade surface;With the shape function coefficient of aerofoil profile, B-spline curves control parameter and blunt trailing edge thickness Distribution ratio is design variable on the upside of mean camber line with it, and coupling XFOIL softwares using particle cluster algorithm carries out the coarse blunt trailing edge wing Type molded line optimizes, and proposes coarse aerofoil with blunt tail edge Optimization Design, realizes blunt trailing edge under the conditions of pneumatic equipment bladess rough surface The raising of Airfoil Optimization accuracy.
In order to solve the above technical problems, the technical solution adopted by the present invention is:A kind of pneumatic equipment bladess rough surface condition Lower aerofoil with blunt tail edge Optimization Design, it is characterised in that:Comprise the following steps:
Step (1), rough surface aerofoil with blunt tail edge molded line expression:Utilize aerofoil profile Generalized Functional integrated presentation and B samples Bar curve, establish aerofoil with blunt tail edge molded line parametric control equation group;Before the top airfoil of aerofoil profile is away from leading edge 0.4c (c is chord length) With lower aerofoil away from the molded line before leading edge 0.5c, expressed using the integrated forms of characterization of aerofoil profile Generalized Functional, i.e. the Duan Yi Type profile coordinate is:
In formula, x is aerofoil profile abscissa, and y is aerofoil profile ordinate, and a is 1/4 aerofoil profile chord length, and θ is argument, and ρ (θ) is aerofoil profile Shape function, use polynomial expression for:
ρ (θ)=C0+C1θ+C2θ2+…+Ckθk, k=1,2,3 ..., n (2)
In formula, C0, C1, C2..., CkFor shape function coefficient, C0=1;
Upper and lower aerofoil is indicated away from the profile coordinate after leading edge 0.4c, 0.5c using B-spline curves;To make the wing Type Generalized Functional integrated presentation has continuous, smooth characteristic with B-spline curves at binding site, using B-spline Curve Matrix form represents coarse aerofoil profile profile coordinate, is:
In formula, P0、P1、P2、P3For the control variable of molded line after top airfoil 0.4c, P '0、P′1、P′2、P′3For lower aerofoil The control variable of molded line after 0.5c;
Molded line P after top airfoil 0.4c0,3(t) point P0,3(0) upper limb formed by aerofoil profile Generalized Functional integrated presentation Last coordinate points, P in the molded line of face0,3(1) aerofoil with blunt tail edge top airfoil molded line terminal (1, h × k) is passed through, wherein h is blunt tail Edge thickness, k are the ratio of top airfoil trailing edge thickness and blunt trailing edge thickness;By formula (3) can inverse go out p0And p3, then upper limb The control variable of molded line only has p after the 0.4c of face1And p2;Similarly, the control variable of molded line only has P ' after lower aerofoil 0.5c1With P′2;Molded line after coarse aerofoil profile top airfoil 0.4c, lower aerofoil 0.5c is embodied as:
Calibration method is sat using aerofoil profile leading edge specified location is translated, a high h, wide l are added in suction surface specified location Boss, as shown in figure 1, translational coordination expression formula is:
In formula, (x, y) is the coordinate at former aerofoil profile molded line control point, and (x ', y ') is that aerofoil profile adds same control after boss The coordinate of point, θ is shift angle, and:
In formula, (x1, y1)、(x2, y2) start for former aerofoil profile molded line translating sections, the coordinate of end position, and:
Formula (1), (4) and (5) is the rough surface aerofoil with blunt tail edge molded line parametric control equation group that the present invention establishes;
Step (2), rough surface aerofoil with blunt tail edge optimization design:Using maximum lift coefficient and maximum lift-drag ratio as target Function, choose the 2nd to the 12nd term coefficient, B-spline curves control parameter and blunt trailing edge thickness in the shape function ρ (θ) of aerofoil profile Distribution ratio is design variable on the upside of mean camber line with it, is coupled using particle swarm optimization algorithm with XFOIL softwares, and it is thick to carry out surface Rough aerofoil with blunt tail edge molded line optimization, Fig. 2 are optimization design flow chart, and rough surface fine stern edge aerofoil profile obtains the blunt trailing edge wing with optimization The molded line of type is as shown in Figure 3;
Step (3), the analysis of rough surface aerofoil with blunt tail edge aeroperformance:It is coarse using FLUENT software numerical value gauging surfaces The front and rear aeroperformance of the blunt trailing edge optimization of aerofoil profile is as shown in Figure 4, Figure 5 and Figure 6;
Step (4), aerofoil with blunt tail edge is excellent under the conditions of realizing pneumatic equipment bladess rough surface to step (3) by step (1) Change design.
Due to using above-mentioned technical proposal, compared with the conventional method, under the conditions of pneumatic equipment bladess rough surface of the invention Aerofoil with blunt tail edge Optimization Design, using wind mill airfoil Generalized Functional integrated presentation and B-spline curves, blunt trailing edge can be formed Aerofoil profile molded line parametric control equation group;Calibration method addition boss is sat using aerofoil profile leading edge specified location is translated, table can be built The coarse aerofoil with blunt tail edge molded line in face;With the shape function coefficient of aerofoil profile, B-spline curves control parameter and blunt trailing edge thickness and its Distribution ratio is design variable on the upside of mean camber line, couples XFOIL softwares using particle cluster algorithm, the blunt trailing edge of rough surface can be achieved Airfoil Optimization;The aerofoil with blunt tail edge that the optimization obtains compared to protocone trailing edge aerofoil profile, its aeroperformance be improved significantly, So as to improve the wind energy utilization of wind energy conversion system.The inventive method solves the problems, such as described, improves pneumatic equipment bladess surface The accuracy of aerofoil with blunt tail edge optimization design under the conditions of coarse, technology is provided to operate in bad working environments lower blade Airfoil Design Support and important references.
Brief description of the drawings
The present invention is specifically described below with reference to accompanying drawing and with reference to example, advantages of the present invention and implementation will More obvious, wherein content is only used for explanation of the present invention shown in accompanying drawing, without forming to the present invention in all senses On limitation, in the accompanying drawings:
Fig. 1 is that wind mill airfoil molded line of the present invention forms boss schematic diagram;
Fig. 2 is aerofoil with blunt tail edge optimization design flow chart under the conditions of pneumatic equipment bladess rough surface of the present invention;
Fig. 3 is the front and rear molded lines of the blunt trailing edge optimization of S822R aerofoil profiles of the present invention;
Fig. 4 is S822R of the present invention and S822RBT aerofoil profiles lift coefficient figure;
Fig. 5 is S822R of the present invention and S822RBT aerofoil profiles resistance coefficient figure;
Fig. 6 is S822R of the present invention and S822RBT aerofoil profiles lift-drag ratio figure.
Embodiment
The present invention is further discussed below with reference to embodiment and its accompanying drawing:
Aerofoil with blunt tail edge Optimization Design is based on following design under the conditions of a kind of pneumatic equipment bladess rough surface of the present invention Thought:
1st, using wind mill airfoil Generalized Functional integrated presentation and B-spline curves, and by translating aerofoil profile leading edge specific bit Coordinate addition boss is put, rough surface aerofoil with blunt tail edge molded line parametric control equation group is formed, to prevent aerofoil profile Generalized Functional Integrated presentation can not be controlled trailing edge shape well;
2nd, with the shape function coefficient of aerofoil profile, B-spline curves control parameter and blunt trailing edge thickness and its on mean camber line Side distribution ratio is design variable, establishes rough surface aerofoil with blunt tail edge mathematical optimization models, to prevent in terms of not and blunt trailing edge parameter Cause the accuracy of aerofoil optimization model;
3rd, XFOIL softwares are coupled using particle cluster algorithm, realizes design variable meter and blunt trailing edge thickness and its in mean camber line The rough surface aerofoil with blunt tail edge molded line optimization of upside distribution ratio, to prevent the blunt trailing edge wing under the conditions of pneumatic equipment bladess rough surface The accuracy of type optimization design is relatively low.
Solves the technical problem, the present invention represents roughness from aerofoil with blunt tail edge molded line Parameter Expression structure, boss Innovative design has been carried out with optimization design etc.:
1st, rough surface aerofoil with blunt tail edge molded line expression
In the case where not changing the maximum relative thickness and its position of aerofoil profile, camber and chord length, wind mill airfoil is utilized Generalized Functional integrated presentation and B-spline curves, and calibration method addition boss is sat by translating aerofoil profile leading edge specified location, establish Rough surface aerofoil with blunt tail edge molded line parametric control equation group.
2nd, rough surface aerofoil with blunt tail edge optimization design
Optimization program is write by Matlab and XFOIL softwares calculate aeroperformance, carries out rough surface aerofoil with blunt tail edge Molded line optimizes, and the optimization design of aerofoil with blunt tail edge must take into consideration following several respects problem under the conditions of pneumatic equipment bladess rough surface:
(1) while improves lift coefficient, resistance coefficient change should be smaller;
(2) exponent number of shape function should be able to make the geometry of the aerofoil profile of composition in wind mill airfoils Generalized Functional integrated presentation Shape can be with quite well, in favor of choosing former term coefficients, B-spline curves in the shape function ρ (θ) of aerofoil profile with former aerofoil profile Control parameter and blunt trailing edge thickness and its distribution ratio on the upside of mean camber line are design variable;
(3) controls range of variables to need necessarily to be limited, special with shape of the molded line without aerofoil profile avoided the formation of Sign, and unnecessary iterations can be reduced;
(4) relative thickness of wind mill airfoils is unsuitable excessive or too small, and blade major power should be made to produce aerofoil profile in area Maximum gauge is 0.12~0.25, to avoid the architectural characteristic of blade from being affected.
3rd, aeroperformance is analyzed before and after the blunt trailing edge optimization of rough surface aerofoil profile
Front and rear liter, resistance coefficient and the lift-drag ratio of the blunt trailing edge optimization of coarse aerofoil profile is calculated using FLUENT softwares.
Aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface of the present invention, including following step Suddenly:
Step (1), rough surface aerofoil with blunt tail edge molded line expression:Utilize aerofoil profile Generalized Functional integrated presentation and B samples Bar curve, establish aerofoil with blunt tail edge molded line parametric control equation group;Before the top airfoil of aerofoil profile is away from leading edge 0.4c (c is chord length) With lower aerofoil away from the molded line before leading edge 0.5c, expressed using the integrated forms of characterization of aerofoil profile Generalized Functional, i.e. the Duan Yi Type profile coordinate is:
In formula, x is aerofoil profile abscissa, and y is aerofoil profile ordinate, and a is 1/4 aerofoil profile chord length, and θ is argument, and ρ (θ) is aerofoil profile Shape function, use polynomial expression for:
ρ (θ)=C0+C1θ+C2θ2+…+Ckθk, k=1,2,3 ..., n (2)
In formula, C0, C1, C2..., CkFor shape function coefficient, C0=1;
Upper and lower aerofoil is indicated away from the profile coordinate after leading edge 0.4c, 0.5c using B-spline curves;To make the wing Type Generalized Functional integrated presentation has continuous, smooth characteristic with B-spline curves at binding site, using B-spline Curve Matrix form represents coarse aerofoil profile profile coordinate, is:
In formula, P0、P1、P2、P3For the control variable of molded line after top airfoil 0.4c, P '0、P′1、P′2、P′3For lower aerofoil The control variable of molded line after 0.5c;
Molded line P after top airfoil 0.4c0,3(t) point P0,3(0) upper limb formed by aerofoil profile Generalized Functional integrated presentation Last coordinate points, P in the molded line of face0,3(1) aerofoil with blunt tail edge top airfoil molded line terminal (1, h × k) is passed through, wherein h is blunt tail Edge thickness, k are the ratio of top airfoil trailing edge thickness and blunt trailing edge thickness;By formula (3) can inverse go out p0And p3, then upper limb The control variable of molded line only has p after the 0.4c of face1And p2;Similarly, the control variable of molded line only has P ' after lower aerofoil 0.5c1With P′2;Molded line after coarse aerofoil profile top airfoil 0.4c, lower aerofoil 0.5c is embodied as:
Calibration method is sat using aerofoil profile leading edge specified location is translated, a high h, wide l are added in suction surface specified location Boss, as shown in figure 1, translational coordination expression formula is:
In formula, (x, y) is the coordinate at former aerofoil profile molded line control point, and (x ', y ') is that aerofoil profile adds same control after boss The coordinate of point, θ is shift angle, and:
In formula, (x1, y1)、(x2, y2) start for former aerofoil profile molded line translating sections, the coordinate of end position, and:
Formula (1), (4) and (5) is the rough surface aerofoil with blunt tail edge molded line parametric control equation group that the present invention establishes;
Step (2), rough surface aerofoil with blunt tail edge optimization design:Using maximum lift coefficient and maximum lift-drag ratio as target Function, choose aerofoil profile shape function coefficient, B-spline curves control parameter and blunt trailing edge thickness and its on the upside of mean camber line point Match as design variable, coupled using particle swarm optimization algorithm with XFOIL softwares, carry out rough surface aerofoil with blunt tail edge molded line Optimization design;
Preferably control the molded line of aerofoil with blunt tail edge, preceding 11 term coefficient of selected shape function governing equation, B-spline curves Control parameter and blunt trailing edge thickness and its distribution ratio are as optimization design variable:
X=(C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, h, k, P1, P2, P1', P2′) (8)
In aerofoil with blunt tail edge optimization process, control range of variables need to be limited, does not have the wing with the molded line avoided the formation of The shape facility of type, and unnecessary iterations can be reduced, then optimized variable edge-restraint condition is:
Xmin≤X≤Xmax (9)
Most of pneumatic equipment bladess produce area in its major power and are generally 0.12~0.25 using the maximum gauge of aerofoil profile, Again because influence of the relative thickness to blade construction characteristic of aerofoil profile can not be ignored, then the constraints of profile thickness is:
0.12≤rt≤0.25 (10)
To make aerofoil profile that there is good aeroperformance under wind energy conversion system accidental conditions, the maximum lift system of aerofoil profile is selected Number and maximum lift-drag ratio are as object function, i.e.,:
F (x)=max (CL/CD) (11)
In formula:CL、CDThe respectively liter of aerofoil profile, resistance coefficient;
Particle swarm optimization algorithm has the advantages that realization is easy, precision is high, convergence is fast, and the efficiency of solving practical problems is very Height, the algorithm is coupled with XFOIL softwares, carry out the optimization of rough surface aerofoil with blunt tail edge molded line, Fig. 2 is optimization design flow Figure, the molded line that rough surface fine stern edge aerofoil profile obtains aerofoil with blunt tail edge with optimization are as shown in Figure 3;
Step (3), the analysis of rough surface aerofoil with blunt tail edge aeroperformance:Utilize the coarse aerofoil profile of FLUENT software gauging surfaces The front and rear aeroperformance of blunt trailing edge optimization is as shown in Figure 4, Figure 5 and Figure 6;
Step (4), aerofoil with blunt tail edge is excellent under the conditions of realizing pneumatic equipment bladess rough surface to step (3) by step (1) Change design.
The present invention does not address part and is applied to prior art.
Embodiment:
1st, S822 aerofoil profiles are widely used in the major power generation area of pneumatic equipment bladess, have at 39.2%c most Big relative thickness 16%, and the relative camber 1.92% of maximum at 59.5%c;A high h is added at top airfoil 2%c =0.003c, wide l=3mm boss.
2nd, optimization primary condition is:It is 5 × 10 to take reynolds number Re5, Mach number Ma is 0.11, and population scale 20 is maximum Evolutionary generation was 300 generations, Studying factors S1、S2For 0.5, dimension 20;To enable the existing stronger search of algorithm routine Power, there is preferable convergence again, and inertia weight w reduces adaptive adjustment formula using linear:
In formula, wmaxAnd wminThe maximum and minimum value of inertia weight are represented, 0.9 and 0.4 is chosen according to design experiences;t And tmaxRepresent the evolutionary generation currently with maximum.
3rd, aerofoil with blunt tail edge optimization and pneumatic performance evaluation
Using optimization method of the present invention, optimization program is write by Matlab and XFOIL softwares calculate aeroperformance, is carried out Blunt trailing edge optimization when the intermediate gauge Special Airfoil of Wind Turbine S822 of National Renewable Energy lab design is coarse is set Meter, and carry out aeroperformance calculating using FLUENT softwares.
S822R aerofoil profiles of aerofoil with blunt tail edge optimization design and its excellent under the conditions of pneumatic equipment bladess rough surface of the present invention The shape for changing aerofoil profile S822RBT is as shown in Figure 3.It is risen, resistance coefficient and lift-drag ratio carry out analysis shows:(1) the S822RBT wings The trailing edge thickness of type is 2.13%c, and upper and lower aerofoil trailing edge thickness distribution ratio is 0: 1.(2) the lift system of S822RBT aerofoil profiles Number is before 14.23 ° of angles of attack and after 16 ° of angles of attack apparently higher than S822R aerofoil profiles;Resistance coefficient before 8.19 ° of angles of attack with S822R aerofoil profiles are very close, and S812R aerofoil profiles are higher than after 8.19 ° of angles of attack;The stall angle of S822R and S822RBT aerofoil profiles is equal For 14.23 °.(3) lift-drag ratio of S822RBT aerofoil profiles when the angle of attack is less than 8.19 ° apparently higher than S822R aerofoil profiles;8.19 °~16 ° In range of angles of attack, less than S822R aerofoil profiles;After 16 ° of angles of attack, it is sufficiently close to S822R aerofoil profiles;S822RBT aerofoil profiles most rise higher Resistance ratio is higher than S822R aerofoil profiles.

Claims (4)

  1. A kind of 1. aerofoil with blunt tail edge Optimization Design under the conditions of pneumatic equipment bladess rough surface, it is characterised in that:Including following Step:
    Step (1), rough surface aerofoil with blunt tail edge molded line expression:It is bent using aerofoil profile Generalized Functional integrated presentation and B-spline Line, establish aerofoil with blunt tail edge molded line parametric control equation group;The top airfoil of aerofoil profile away from before leading edge 0.4c (c is chord length) and under Aerofoil is expressed, i.e. this section of aerofoil profile type away from the molded line before leading edge 0.5c using the integrated forms of characterization of aerofoil profile Generalized Functional Line coordinates is:
    <mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mi>x</mi> <mo>=</mo> <mi>a</mi> <mrow> <mo>(</mo> <mi>&amp;rho;</mi> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>+</mo> <mn>1</mn> <mo>/</mo> <mi>&amp;rho;</mi> <mrow> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>)</mo> <mi>c</mi> <mi>o</mi> <mi>s</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>y</mi> <mo>=</mo> <mi>a</mi> <mrow> <mo>(</mo> <mi>&amp;rho;</mi> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>-</mo> <mn>1</mn> <mo>/</mo> <mi>&amp;rho;</mi> <mrow> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>)</mo> <mi>s</mi> <mi>i</mi> <mi>n</mi> <mi>&amp;theta;</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
    In formula, x is aerofoil profile abscissa, and y is aerofoil profile ordinate, and a is 1/4 aerofoil profile chord length, and θ is argument, and ρ (θ) is the shape of aerofoil profile Function, use polynomial expression for:
    ρ (θ)=C0+C1θ+C2θ2+…+Ckθk, k=1,2,3 ..., n (2)
    In formula, C0, C1, C2..., CkFor shape function coefficient, C0=1;
    Upper and lower aerofoil is indicated away from the profile coordinate after leading edge 0.4c, 0.5c using B-spline curves;To make aerofoil profile wide Adopted functional integration expression has continuous, smooth characteristic with B-spline curves at binding site, using B-spline Curve matrix Form represents coarse aerofoil profile profile coordinate, is:
    <mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mn>0</mn> <mo>,</mo> <mn>3</mn> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>,</mo> <mi>t</mi> <mo>,</mo> <msup> <mi>t</mi> <mn>2</mn> </msup> <mo>,</mo> <msup> <mi>t</mi> <mn>3</mn> </msup> <mo>&amp;rsqb;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>1</mn> </mtd> <mtd> <mn>4</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>P</mi> <mn>0</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>3</mn> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo>&amp;rsqb;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mrow> <mn>0</mn> <mo>,</mo> <mn>3</mn> </mrow> <mo>&amp;prime;</mo> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>,</mo> <mi>t</mi> <mo>,</mo> <msup> <mi>t</mi> <mn>2</mn> </msup> <mo>,</mo> <msup> <mi>t</mi> <mn>3</mn> </msup> <mo>&amp;rsqb;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>1</mn> </mtd> <mtd> <mn>4</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msup> <msub> <mi>P</mi> <mn>0</mn> </msub> <mo>&amp;prime;</mo> </msup> </mtd> </mtr> <mtr> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>&amp;prime;</mo> </msup> </mrow> </mtd> </mtr> <mtr> <mtd> <msup> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>&amp;prime;</mo> </msup> </mtd> </mtr> <mtr> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>3</mn> </msub> <mo>&amp;prime;</mo> </msup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo>&amp;rsqb;</mo> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
    In formula, P0、P1、P2、P3For the control variable of molded line after top airfoil 0.4c, P '0、P′1、P′2、P′3For lower aerofoil 0.5c it The control variable of molded line afterwards;
    Molded line P after top airfoil 0.4c0,3(t) point P0,3(0) the top airfoil type formed by aerofoil profile Generalized Functional integrated presentation Last coordinate points, P in line0,3(1) aerofoil with blunt tail edge top airfoil molded line terminal (1, h × k) is passed through, wherein h is that blunt trailing edge is thick Degree, k are the ratio of top airfoil trailing edge thickness and blunt trailing edge thickness;By formula (3) can inverse go out p0And p3, then top airfoil The control variable of molded line only has p after 0.4c1And p2;Similarly, the control variable of molded line only has P ' after lower aerofoil 0.5c1And P ′2;Molded line after coarse aerofoil profile top airfoil 0.4c, lower aerofoil 0.5c is embodied as:
    <mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mn>0</mn> <mo>,</mo> <mn>3</mn> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>,</mo> <mi>t</mi> <mo>,</mo> <msup> <mi>t</mi> <mn>2</mn> </msup> <mo>,</mo> <msup> <mi>t</mi> <mn>3</mn> </msup> <mo>&amp;rsqb;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>1</mn> </mtd> <mtd> <mn>4</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>6</mn> <mi>P</mi> <mo>(</mo> <mn>0</mn> <mo>)</mo> <mo>-</mo> <mn>4</mn> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>-</mo> <msub> <mi>P</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>P</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>6</mn> <mi>P</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>-</mo> <mn>4</mn> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>-</mo> <msub> <mi>P</mi> <mn>1</mn> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo>&amp;rsqb;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>P</mi> <mrow> <mn>0</mn> <mo>,</mo> <mn>3</mn> </mrow> <mo>&amp;prime;</mo> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> <mo>&amp;lsqb;</mo> <mn>1</mn> <mo>,</mo> <mi>t</mi> <mo>,</mo> <msup> <mi>t</mi> <mn>2</mn> </msup> <mo>,</mo> <msup> <mi>t</mi> <mn>3</mn> </msup> <mo>&amp;rsqb;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>1</mn> </mtd> <mtd> <mn>4</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </mtd> <mtd> <mn>3</mn> </mtd> <mtd> <mrow> <mo>-</mo> <mn>3</mn> </mrow> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>6</mn> <mi>P</mi> <msup> <mrow> <mo>(</mo> <mn>0</mn> <mo>)</mo> </mrow> <mo>&amp;prime;</mo> </msup> <mo>-</mo> <mn>4</mn> <msubsup> <mi>P</mi> <mn>1</mn> <mo>&amp;prime;</mo> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mn>2</mn> <mo>&amp;prime;</mo> </msubsup> </mtd> </mtr> <mtr> <mtd> <msubsup> <mi>P</mi> <mn>1</mn> <mo>&amp;prime;</mo> </msubsup> </mtd> </mtr> <mtr> <mtd> <msubsup> <mi>P</mi> <mn>2</mn> <mo>&amp;prime;</mo> </msubsup> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>6</mn> <mi>P</mi> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>&amp;prime;</mo> </msup> <mo>-</mo> <mn>4</mn> <msubsup> <mi>P</mi> <mn>2</mn> <mo>&amp;prime;</mo> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mn>1</mn> <mo>&amp;prime;</mo> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> <mtd> <mrow> <mi>t</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo>&amp;rsqb;</mo> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
    Using translate aerofoil profile leading edge specified location sit calibration method, suction surface specified location add a high h, wide l it is convex Platform, as shown in figure 1, translational coordination expression formula is:
    <mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msup> <mi>x</mi> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mi>x</mi> <mo>-</mo> <mi>h</mi> <mi> </mi> <mi>s</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msup> <mi>y</mi> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <mi>y</mi> <mo>+</mo> <mi>h</mi> <mi> </mi> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mrow> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow>
    In formula, (x, y) is the coordinate at former aerofoil profile molded line control point, and (x ', y ') is that aerofoil profile adds same control point after boss Coordinate, θ are shift angle, and:
    <mrow> <mi>&amp;theta;</mi> <mo>=</mo> <mi>a</mi> <mi>r</mi> <mi>c</mi> <mi>t</mi> <mi>a</mi> <mi>n</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>y</mi> <mn>2</mn> </msub> <mo>-</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> </mrow> <mrow> <msub> <mi>x</mi> <mn>2</mn> </msub> <mo>-</mo> <msub> <mi>x</mi> <mn>1</mn> </msub> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
    In formula, (x1, y1)、(x2, y2) start for former aerofoil profile molded line translating sections, the coordinate of end position, and:
    <mrow> <mi>l</mi> <mo>=</mo> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mn>2</mn> </msub> <mo>-</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mn>2</mn> </msub> <mo>-</mo> <msub> <mi>x</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
    Formula (1), (4) and (5) is the rough surface aerofoil with blunt tail edge molded line parametric control equation group that the present invention establishes;
    Step (2), rough surface aerofoil with blunt tail edge optimization design:Using maximum lift coefficient and maximum lift-drag ratio as target letter Number, choose in the shape function ρ (θ) of aerofoil profile the 2nd to the 12nd term coefficient, B-spline curves control parameter and blunt trailing edge thickness and Its distribution ratio on the upside of mean camber line is design variable, is coupled using particle swarm optimization algorithm with XFOIL softwares, carries out rough surface Aerofoil with blunt tail edge molded line optimizes, and Fig. 2 is optimization design flow chart, and rough surface fine stern edge aerofoil profile obtains aerofoil with blunt tail edge with optimization Molded line it is as shown in Figure 3;
    Step (3), the analysis of rough surface aerofoil with blunt tail edge aeroperformance:Utilize the coarse aerofoil profile of FLUENT software numerical value gauging surfaces The front and rear aeroperformance of blunt trailing edge optimization is as shown in Figure 4, Figure 5 and Figure 6;
    Step (4), realize that aerofoil with blunt tail edge optimization is set under the conditions of pneumatic equipment bladess rough surface by step (1) to step (3) Meter.
  2. 2. aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface according to claim 1, It is characterized in that:After the foundation of step (1) rough surface aerofoil with blunt tail edge molded line expression formula, with shape function coefficient, the B of aerofoil profile SPL control parameter and blunt trailing edge thickness and its distribution ratio on the upside of mean camber line are design variable, and it is blunt to carry out rough surface Trailing edge aerofoil profile molded line optimizes.
  3. 3. aerofoil with blunt tail edge optimization design side under the conditions of a kind of pneumatic equipment bladess rough surface according to claim 1 or 2 Method, it is characterised in that:The coarse aerofoil profile is optimized using particle cluster algorithm with the method that XFOIL softwares are combined and set Meter.
  4. 4. aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface according to claim 3, It is characterized in that:The blunt trailing edge thickness of the S822RBT aerofoil profiles (R is coarse, and BT is blunt trailing edge) is 2.13%c, and upper and lower Aerofoil trailing edge thickness distribution ratio is 0: 1.
CN201710871339.2A 2017-09-20 2017-09-20 Aerofoil with blunt tail edge Optimization Design under the conditions of a kind of pneumatic equipment bladess rough surface Pending CN107644136A (en)

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CN109190283A (en) * 2018-09-20 2019-01-11 中国科学院工程热物理研究所 A kind of wind mill airfoil Aerodynamic optimization method considering high Turbulent Free incoming flow effect
CN109190283B (en) * 2018-09-20 2023-03-14 中国科学院工程热物理研究所 Wind turbine airfoil aerodynamic optimization method considering high turbulence free inflow effect
CN109918778A (en) * 2019-03-04 2019-06-21 天津工业大学 Wind energy conversion system aerofoil with blunt tail edge optimum design method under the conditions of a kind of rime ice
CN109918778B (en) * 2019-03-04 2023-04-07 天津工业大学 Method for optimally designing blunt trailing edge wing profile of wind turbine under frost ice condition
CN110110444A (en) * 2019-05-09 2019-08-09 武汉理工大学 One kind is towards large-scale merchant ship coupled mode wing sail optimization method and system
CN110110444B (en) * 2019-05-09 2023-06-09 武汉理工大学 Large-scale commercial ship-oriented coupling type wing sail optimization method and system
CN110287548B (en) * 2019-06-04 2023-01-17 上海交通大学 Two-dimensional airfoil mean camber line numerical calculation method
CN110287548A (en) * 2019-06-04 2019-09-27 上海交通大学 Camber line numerical computation method in dimensional airfoil
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CN112541298B (en) * 2020-11-03 2022-12-09 西安交通大学 Turbine mechanical blade profile automatic parameterization generation method based on deep learning
CN112329170B (en) * 2020-11-04 2022-11-01 山东省科学院海洋仪器仪表研究所 Blade airfoil section optimization design method for tidal current energy water turbine
CN112329170A (en) * 2020-11-04 2021-02-05 山东省科学院海洋仪器仪表研究所 Blade airfoil optimization design method of tidal current energy water turbine
CN112329359B (en) * 2020-11-12 2022-07-08 天津工业大学 Neural network prediction method for aerodynamic performance of wing section of wind turbine under open ice condition
CN112329359A (en) * 2020-11-12 2021-02-05 天津工业大学 Neural network prediction method for aerodynamic performance of wing section of wind turbine under open ice condition

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