CN105260572A - Fan blade modeling software calling system and calling method thereof - Google Patents
Fan blade modeling software calling system and calling method thereof Download PDFInfo
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- CN105260572A CN105260572A CN201510759492.7A CN201510759492A CN105260572A CN 105260572 A CN105260572 A CN 105260572A CN 201510759492 A CN201510759492 A CN 201510759492A CN 105260572 A CN105260572 A CN 105260572A
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Abstract
The invention discloses a fan blade modeling software calling system and a calling method thereof. The system is characterized by comprising a wing section base module, a fan blade parameter input module, an integrated module, a blade three-dimensional modeling module, a fan model module, a blade performance analysis module, a neural network module and an optimum data output module. According to the fan blade modeling software calling system and the calling method thereof, a series of fan modeling software are combined into one system through the manner of calling a dynamic link library or data files to integrate, so as to complete the design of an optimum blade, and complete the detection and optimizing on a simulate fan; all complex modeling and simulation analysis processes are simplified by the system, and blade three-dimensional modeling and simulation, data analysis and an actual test can be completed to obtain an optimum blade model by only inputting simple demand parameters.
Description
Technical field
The invention belongs to technical field of wind power generation, particularly relating to a kind of to during fan blade modeling, various blower fan modeling software being called to the system and call method thereof that draw optimum leaf model.
Background technology
In recent years, along with generation of electricity by new energy emerges day by day, wind-power electricity generation is as a kind of clean regenerative resource, and have huge developing and utilizingpotentiality, commercially show up prominently already, as the bellwether of generation of electricity by new energy, installed capacity of wind-driven power is covering the whole world, constantly rises.Blade is as one of the most key parts of blower fan, and the performance of blade directly has influence on power and the life-span of blower fan, is the deciding factor of aerogenerator performance.Therefore the design of blade is a vital link in whole wind power system, continuous Optimized Simulated is needed in the design of blade, therefore be a very important job to fan blade modeling, can greatly improve blade design efficiency like this, because current fan blade modeling software is more, the two-dimension analysis softwares such as such as Profili, Matlab, the 3 d modeling softwares such as ANSYS, SolidWorks, UG, Pro/E.First fan blade needs when modeling to call the aerofoil profile in aerofoil profile storehouse, aerofoil profile kind in aerofoil profile storehouse is very many, and the parameter of different software transfers aerofoil profile out can difference to some extent, the performance of the fan blade built according to aerofoil profile parameter is also different, an aerofoil profile is for different modeling softwares, the performance of the fan blade built is not identical yet, designer does not know the best performance of the fan blade model adopting which type of modeling software to build when modeling, if designer wants to reach optimum fan blade, an aerofoil profile is often selected to build different leaf models with regard to needing with different modeling softwares with regard to needing, optimum leaf model is selected by comparing, adopt workload in such a way very big, very loaded down with trivial details, the modeling time is long, inefficiency.
Summary of the invention
The present invention is in order to overcome above-mentioned defect, the invention provides a kind of fan blade modeling software calling system and call method thereof, this calling system by a series of blower fan modeling software by calling dynamic link library or data file carries out integrated mode, be incorporated into a system, complete optimum blade design, and complete simulation blower fan on carry out testing and optimizing, native system is by the modeling simulation analysis process simplification of all complexity, as long as by simple demand parameter is inputted, the emulation of blade three-dimensional modeling can be completed, data analysis and actual test obtain optimum leaf model.
In order to solve the problems of the technologies described above, the technical solution used in the present invention is:
A kind of fan blade modeling software calling system, is characterized in that: aerofoil profile library module, fan blade parameter input module, integration module, blade three-dimensional modeling module, blower fan model module, Blade Properties analysis module, neural network module and optimal data output module.
Described aerofoil profile module is for storing vane airfoil profile data;
Described fan blade parameter input module is for inputting the basic parameter of fan blade;
Described integration module is used for integrated all fan blade modeling softwares, calls the aerofoil profile data in aerofoil profile module, calls the basic parameter of the fan blade of fan blade parameter input module input;
Described blade three-dimensional modeling module reads the basic parameter of aerofoil profile data and fan blade from integration module, builds fan blade three-dimensional model;
Described blower fan model module, for building an emulation blower fan model, obtains leaf three-dimensional model data from blade three-dimensional modeling module;
Described Blade Properties analysis module is used for calling blower fan model module, tests, pilot blade load performance and the impact on complete machine generated energy to the blower fan after increasing leaf three-dimensional model data;
Described neural network module, for carrying out permutation and combination to the method for calling of each blade modeling software, carrying out modeling and analysis by different array modes to blade, drawing analysis data; By more various analysis data, therefrom select optimum fan blade three-dimensional model;
Described optimal data module is used for the fan blade three-dimensional model of the optimum that output nerve mixed-media network modules mixed-media is selected.
The basic parameter of described fan blade comprises power of fan, impeller diameter etc.
Described fan blade modeling software comprises the two-dimension analysis softwares such as Profili, Matlab, the 3 d modeling softwares such as ANSYS, SolidWorks, UG, Pro/E.
A kind of call method based on described fan blade modeling software calling system, it is characterized in that: comprise the steps: that integration module calls fan blade aerofoil profile and fan blade basic parameter and sends to blade three-dimensional modeling module to carry out three-dimensional modeling, after completing three-dimensional modeling, fan blade three-dimensional model is sent to blower fan model module, blower fan model module draws the simulation work parameter of each fan blade after reading blower fan three-dimensional model, and these simulation work parameters are sent to Blade Properties analysis module, Blade Properties analysis module is analyzed book and is respectively sent to neural network module to after the performance of blade, neural network module utilization neural network algorithm carries out Analysis and Screening and goes out optimum combination of software, and the data of analyzing and processing are sent to optimal data module, optimal data module exports optimum fan blade three-dimensional model.
The present invention has the following advantages:
The present invention and independent modeling software contrast, implement simpler, more understandable easy-to-use, especially model accuracy is higher, this system substantially increases modeling efficiency, draw simulation analysis data and Practical Project data result substantially identical, deviation is less, design for fan blade provides very large data supporting, to having good using value in Practical Project.
The present invention by the mode of calling dynamic link library or data file using above all software as an integrated system, and by neural network algorithm, row filter is combined into software systems, thus make system in combination mode reach optimum, thus achieve the quick accurate three-dimensional modeling of fan blade, substantially increase modeling efficiency, build complete blower model in native system simultaneously, leaf model directly can have been imported in blower fan model, carry out Data Analysis Services.
Native system can by calling dynamic link library or the data file of modeling software, thus realize integrated to other softwares, can test by interactive modeling, carry out Data Comparison, native system is by simple parameters input, just can complete the three-dimensional modeling of various aerofoil profile fan blade, complete emulated data analysis simultaneously, the advantage of native system is intelligence to call all two dimensions, 3 d modeling software, and adopt neural network algorithm the emulated data of each software to be analyzed, form optimum combination mode, blower fan model is comprised in simultaneity factor, leaf model is directly imported in blower fan model and tests, thus carry out Data Comparison.
The mode that all relevant design software is called by dynamic link library or data file can be carried out Integrated Simulation by the present invention, basic parameter input is completed by user interface, the leaf three-dimensional model that just can complete under different airfoil profiles is built and is emulated and data test analysis, has good using value.
Optimum fan blade three-dimensional model is selected in the fan blade three-dimensional model that the present invention can build in numerous modeling softwares, designer only need input the basic parameter of fan blade, system constructs optimum fan blade three-dimensional model by different modeling softwares, enormously simplify the workload of designer, improve work efficiency.
Accompanying drawing explanation
Fig. 1 is one-piece construction block diagram of the present invention;
Fig. 2 is the schematic diagram of neural network module.
Embodiment
The present invention can by calling dynamic link library or the data file of modeling software, thus realize integrated to other softwares, can test by interactive modeling, carry out Data Comparison, native system is by simple parameters input, just can complete the three-dimensional modeling of various aerofoil profile fan blade, complete emulated data analysis simultaneously, the advantage of native system is intelligence to call all two dimensions, 3 d modeling software, and adopt neural network algorithm the emulated data of each software to be analyzed, form optimum combination mode, blower fan model is comprised in simultaneity factor, leaf model is directly imported in blower fan model and tests, thus carry out Data Comparison.
Technical solution of the present invention is as follows:
A kind of fan blade modeling software calling system, is characterized in that: aerofoil profile library module, fan blade parameter input module, integration module, blade three-dimensional modeling module, blower fan model module, Blade Properties analysis module, neural network module and optimal data output module.
Described aerofoil profile module is for storing vane airfoil profile data;
Described fan blade parameter input module is for inputting the basic parameter of fan blade;
Described integration module is used for integrated all fan blade modeling softwares, calls the aerofoil profile data in aerofoil profile module, calls the basic parameter of the fan blade of fan blade parameter input module input;
Described blade three-dimensional modeling module reads the basic parameter of aerofoil profile data and fan blade from integration module, builds fan blade three-dimensional model;
Described blower fan model module, for building an emulation blower fan model, obtains leaf three-dimensional model data from blade three-dimensional modeling module;
Described Blade Properties analysis module is used for calling blower fan model module, tests, pilot blade load performance and the impact on complete machine generated energy to the blower fan after increasing leaf three-dimensional model data;
Described neural network module, for carrying out permutation and combination to the method for calling of each blade modeling software, carrying out modeling and analysis by different array modes to blade, drawing analysis data; By more various analysis data, therefrom select optimum fan blade three-dimensional model;
Described optimal data module is used for the fan blade three-dimensional model of the optimum that output nerve mixed-media network modules mixed-media is selected.
The basic parameter of described fan blade comprises power of fan, impeller diameter.
Described fan blade modeling software comprises the two-dimension analysis softwares such as Profili, Matlab, the 3 d modeling softwares such as ANSYS, SolidWorks, UG, Pro/E.
Integration module is integrated with all modeling softwares, comprise two dimension and call software and 3 d modeling software, two dimension calls the aerofoil profile data in software transfer aerofoil profile storehouse, 3 d modeling software reads the basic parameter of fan blade basic parameter module input, blade three-dimensional module carries out blade three-dimensional modeling according to the aerofoil profile data called and blade basic parameter, then (blower fan model is the blower fan of an emulation to send to the blower fan model of blower fan model module, blower fan model module reads fan blade three-dimensional model and is equivalent to be arranged on blower fan by fan blade in reality) by blower fan model just analogue simulation, just can measure running parameter during fan blade work, just Blade Properties analysis can be carried out by these running parameters, after analysis, sieve through neural network module neural network algorithm, sieve out optimum combination of software, neural network module also will analyze data feedback on integration module simultaneously, again sieve, finally draw optimum fan blade three-dimensional model.
A kind of call method based on described fan blade modeling software calling system, it is characterized in that: comprise the steps: that integration module calls fan blade aerofoil profile and fan blade basic parameter and sends to blade three-dimensional modeling module to carry out three-dimensional modeling, after completing three-dimensional modeling, fan blade three-dimensional model is sent to blower fan model module, blower fan model module draws the simulation work parameter of each fan blade after reading blower fan three-dimensional model, and these simulation work parameters are sent to Blade Properties analysis module, Blade Properties analysis module is analyzed book and is respectively sent to neural network module to after the performance of blade, neural network module utilization neural network algorithm carries out Analysis and Screening and goes out optimum combination of software, and send to optimal data module by analyzing the data obtained, optimal data module exports optimum fan blade three-dimensional model.
Neural network module of the present invention comprises input layer, hidden layer and output layer, and this neural network module adopts neural network algorithm to filter out optimum Integrated Simulation combination.
Claims (2)
1. a fan blade modeling software calling system, is characterized in that: aerofoil profile library module, fan blade parameter input module, integration module, blade three-dimensional modeling module, blower fan model module, Blade Properties analysis module, neural network module and optimal data output module;
Described aerofoil profile module is for storing vane airfoil profile data;
Described fan blade parameter input module is for inputting the basic parameter of fan blade;
Described integration module is used for integrated all fan blade modeling softwares, calls the aerofoil profile data in aerofoil profile module, calls the basic parameter of the fan blade of fan blade parameter input module input;
Described blade three-dimensional modeling module reads the basic parameter of aerofoil profile data and fan blade from integration module, builds fan blade three-dimensional model;
Described blower fan model module, for building an emulation blower fan model, obtains leaf three-dimensional model data from blade three-dimensional modeling module;
Described Blade Properties analysis module is used for calling blower fan model module, tests, pilot blade load performance and the impact on complete machine generated energy to the blower fan after increasing leaf three-dimensional model data;
Described neural network module, for carrying out permutation and combination to the method for calling of each blade modeling software, carrying out modeling and analysis by different array modes to blade, drawing analysis data; By more various analysis data, therefrom select optimum fan blade three-dimensional model;
Described optimal data module is used for the fan blade three-dimensional model of the optimum that output nerve mixed-media network modules mixed-media is selected.
2. the call method based on fan blade modeling software calling system as claimed in claim 1, it is characterized in that: comprise the steps: that integration module calls fan blade aerofoil profile and fan blade basic parameter and sends to blade three-dimensional modeling module to carry out three-dimensional modeling, after completing three-dimensional modeling, fan blade three-dimensional model is sent to blower fan model module, blower fan model module draws the simulation work parameter of each fan blade after reading blower fan three-dimensional model, and these simulation work parameters are sent to Blade Properties analysis module, Blade Properties analysis module is analyzed book and is respectively sent to neural network module to after the performance of blade, neural network module utilization neural network algorithm carries out Analysis and Screening and goes out optimum Integrated Simulation combination, and analyzing and processing data is sent to optimal data module, optimal data module exports optimum fan blade three-dimensional model.
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| CN109829260A (en) * | 2019-03-29 | 2019-05-31 | 江苏精研科技股份有限公司 | A kind of emulation design method of 5G high speed fan |
| CN113255244A (en) * | 2021-05-13 | 2021-08-13 | 翁鹏程 | Fuel cell system simulation test platform, method and storage medium |
| CN113738662A (en) * | 2020-05-28 | 2021-12-03 | 埃布姆-派斯特穆尔芬根股份有限两合公司 | Method for operating a fan system and fan system having a back-curved centrifugal fan |
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| CN106202780A (en) * | 2016-07-20 | 2016-12-07 | 苏州海博新能源有限公司 | A kind of solar panels modeling software calling system and call method thereof |
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| CN113738662B (en) * | 2020-05-28 | 2024-05-24 | 埃布姆-派斯特穆尔芬根股份有限两合公司 | Method for operating a fan system and fan system with a backward-curved centrifugal fan |
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| CN113255244B (en) * | 2021-05-13 | 2023-06-16 | 翁鹏程 | Fuel cell system simulation test platform, method and storage medium |
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Application publication date: 20160120 |