CN104217079A - Method for measuring axial fan of wind driven generator by reversing technology - Google Patents

Method for measuring axial fan of wind driven generator by reversing technology Download PDF

Info

Publication number
CN104217079A
CN104217079A CN201410443859.XA CN201410443859A CN104217079A CN 104217079 A CN104217079 A CN 104217079A CN 201410443859 A CN201410443859 A CN 201410443859A CN 104217079 A CN104217079 A CN 104217079A
Authority
CN
China
Prior art keywords
axial fan
aerogenerator
model
dimensional
software
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410443859.XA
Other languages
Chinese (zh)
Inventor
何继勇
吴文煜
刘先智
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dongfang Electric (leshan) New Energy Equipment Co Ltd
Original Assignee
Dongfang Electric (leshan) New Energy Equipment Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dongfang Electric (leshan) New Energy Equipment Co Ltd filed Critical Dongfang Electric (leshan) New Energy Equipment Co Ltd
Priority to CN201410443859.XA priority Critical patent/CN104217079A/en
Publication of CN104217079A publication Critical patent/CN104217079A/en
Pending legal-status Critical Current

Links

Abstract

The invention discloses a method for measuring an axial fan of a wind driven generator by a reversing technology. The method comprises the following steps of 1, performing three-dimensional modeling on the axial fan of the wind driven generator; 2, converting the format of a three-dimensional model; 3, acquiring surface characteristic data points of the axial fan of the wind driven generator; 4, processing the surface characteristic data points of the axial fan of the wind driven generator; 5, aligning models; 6, comparing and analyzing. The method has the beneficial effects that the manufacturing cost is reduced, detection results are reliable and visible, the detection accuracy is high and the application range is wide.

Description

A kind of reversal technique measures the method for aerogenerator axial fan
Technical field
The present invention relates to the technical field judging that whether aerogenerator axial fan is qualified, particularly a kind of reversal technique measures the method for aerogenerator axial fan.
Background technology
The blade of aerogenerator axial fan belongs to typical space three-dimensional curved body, for its measurement, namely general employing traditional measurement mode carries out the mode detected with section model, this metering system can only obtain several section molded line limited on motor axial fan, and the transition molded line between section can not be detected, this metering system causes the position degree between blade and blade to be difficult to detect simultaneously, thus can not the vane type line of actual response aerogenerator axial fan and blade relative seat feature, actual requirement of engineering can not be met, in addition, adopt the input checking model material object, increase manufacturing cost.
Summary of the invention
The object of the invention is to the shortcoming overcoming prior art, provide a kind of and reduce that manufacturing cost, testing result precision that is reliable and visual, that detect is high, the method measuring aerogenerator axial fan with reversal technique of applied range
Object of the present invention is achieved through the following technical solutions: a kind of reversal technique measures the method for aerogenerator axial fan, and it comprises the following steps:
The three-dimensional modeling of S1, aerogenerator axial fan, according to aerogenerator axial fan drawing, utilize three-dimensional software CATIA to carry out three-dimensional modeling, make the size of the endoporus of three-dimensional model and end face all equal with the size of tested aerogenerator axial fan with corresponding;
The conversion of S2, three-dimensional model form, is converted into the file A that three coordinate measuring machine can identify under three-dimensional software CATIA software by three-dimensional model;
The collection of S3, aerogenerator axial fan surface characteristic data point, in three coordinate measuring machine, first open the file A in described S2, three coordinate measuring machine is utilized to gather aerogenerator axial fan surface characteristic data point, the mass data gathered forms cloud data, thus achieve the digitizing of mock-up, then gathered cloud data is output into the file B that reverse software geomagic studio can identify;
The process of S4, aerogenerator axial fan surface characteristic data point, imports to delete disconnected cloud data, the outer acnode of removing body etc. in reverse software geomagic studio, to obtain the digitizing testing model of mock-up by the file B in described S3;
S5, model align, first testing model and theoretical model are imported in reverse inspection software geomagic qualify, endoporus and the end face of described S1 is chosen again on testing model and theoretical model, then the data of endoporus and end face are utilized to be that coordinate system is come together by true origin with leaf position, and ensure that two groups of data are alignd in reverse inspection software geomagic qualify, to analyze picture as detection;
S6, comparative analysis, by the molded line deviate on the axial fan blade of the molded line on the axial fan blade of testing model and theoretical model, then according to the size of deviate to determine that whether aerogenerator axial fan is qualified; Be the deviate that benchmark judges the blade corresponding on theoretical model by a blade of testing model, again according to the size of deviate to determine that whether aerogenerator axial fan qualified, finally export examining reports such as creating annotation, dimension analysis and form and position tolerance assessment
The present invention has the following advantages: (1) present invention eliminates traditional approach and adopts the input checking model material object, reduces manufacturing cost.(2) testing result is reliable and visual, can form establishment annotation, dimension analysis and the form and position tolerance assessment report that both pictures and texts are excellent.(3) improve the precision of detection, the molded line of fan blade and position degree are detected simultaneously, improves the deficiency of traditional measurement mode.(4) measuring method of the present invention extends to the molded line detection of the workpiece of spatial warping, and methods && steps of implementation is consistent, and therefore practicality is very strong, applied range.
Embodiment
The present invention will be further described below, and protection scope of the present invention is not limited to the following stated:
Reversal technique measures a method for aerogenerator axial fan, and it comprises the following steps:
The three-dimensional modeling of S1, aerogenerator axial fan, according to aerogenerator axial fan drawing, three-dimensional software CATIA is utilized to carry out three-dimensional modeling, make the size of the endoporus of three-dimensional model and end face all equal with the size of tested aerogenerator axial fan with corresponding, to ensure that three-dimensional model and tested fan benchmark can be able to be united in reverse software, reach quick alignment object;
The conversion of S2, three-dimensional model form, is converted into the file A that three coordinate measuring machine can identify under three-dimensional software CATIA software by three-dimensional model;
The collection of S3, aerogenerator axial fan surface characteristic data point, in three coordinate measuring machine, first open the file A in described S2, three coordinate measuring machine is utilized to gather aerogenerator axial fan surface characteristic data point, the mass data gathered forms cloud data, thus achieve the digitizing of mock-up, then gathered cloud data is output into the file B that reverse software geomagic studio can identify;
The process of S4, aerogenerator axial fan surface characteristic data point, imports to delete disconnected cloud data, the outer acnode of removing body etc. in reverse software geomagic studio, to obtain the digitizing testing model of mock-up by the file B in described S3;
S5, model align, first testing model and theoretical model are imported in reverse inspection software geomagic qualify, endoporus and the end face of described S1 is chosen again on testing model and theoretical model, then the data of endoporus and end face are utilized to be that coordinate system is come together by true origin with leaf position, and ensure that two groups of data are alignd in reverse inspection software geomagic qualify, to analyze picture as detection;
S6, comparative analysis, by the molded line deviate on the axial fan blade of the molded line on the axial fan blade of testing model and theoretical model, then according to the size of deviate to determine that whether aerogenerator axial fan is qualified; Be the deviate that benchmark judges the blade corresponding on theoretical model by a blade of testing model, again according to the size of deviate to determine that whether aerogenerator axial fan qualified, thus improve the precision of detection, the molded line of fan blade and position degree are detected simultaneously, improve the deficiency of traditional measurement mode, finally export examining reports such as creating annotation, dimension analysis and form and position tolerance assessment.

Claims (1)

1. measure a method for aerogenerator axial fan with reversal technique, it is characterized in that: it comprises the following steps:
The three-dimensional modeling of S1, aerogenerator axial fan, according to aerogenerator axial fan drawing, utilize three-dimensional software CATIA to carry out three-dimensional modeling, make the size of the endoporus of three-dimensional model and end face all equal with the size of tested aerogenerator axial fan with corresponding;
The conversion of S2, three-dimensional model form, is converted into the file A that three coordinate measuring machine can identify under three-dimensional software CATIA software by three-dimensional model;
The collection of S3, aerogenerator axial fan surface characteristic data point, in three coordinate measuring machine, first open the file A in described S2, three coordinate measuring machine is utilized to gather aerogenerator axial fan surface characteristic data point, the mass data gathered forms cloud data, thus achieve the digitizing of mock-up, then gathered cloud data is output into the file B that reverse software geomagic studio can identify;
The process of S4, aerogenerator axial fan surface characteristic data point, imports to delete disconnected cloud data, the outer acnode of removing body etc. in reverse software geomagic studio, to obtain the digitizing testing model of mock-up by the file B in described S3;
S5, model align, first testing model and theoretical model are imported in reverse inspection software geomagic qualify, endoporus and the end face of described S1 is chosen again on testing model and theoretical model, then the data of endoporus and end face are utilized to be that coordinate system is come together by true origin with leaf position, and ensure that two groups of data are alignd in reverse inspection software geomagic qualify, to analyze picture as detection;
S6, comparative analysis, by the molded line deviate on the axial fan blade of the molded line on the axial fan blade of testing model and theoretical model, then according to the size of deviate to determine that whether aerogenerator axial fan is qualified; Be the deviate that benchmark judges the blade corresponding on theoretical model by a blade of testing model, again according to the size of deviate to determine that whether aerogenerator axial fan qualified, finally export examining reports such as creating annotation, dimension analysis and form and position tolerance assessment.
CN201410443859.XA 2014-09-03 2014-09-03 Method for measuring axial fan of wind driven generator by reversing technology Pending CN104217079A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410443859.XA CN104217079A (en) 2014-09-03 2014-09-03 Method for measuring axial fan of wind driven generator by reversing technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410443859.XA CN104217079A (en) 2014-09-03 2014-09-03 Method for measuring axial fan of wind driven generator by reversing technology

Publications (1)

Publication Number Publication Date
CN104217079A true CN104217079A (en) 2014-12-17

Family

ID=52098565

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410443859.XA Pending CN104217079A (en) 2014-09-03 2014-09-03 Method for measuring axial fan of wind driven generator by reversing technology

Country Status (1)

Country Link
CN (1) CN104217079A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108073180A (en) * 2016-11-08 2018-05-25 北京金风科创风电设备有限公司 Control method, the device and system of unmanned plane
CN109269454A (en) * 2017-07-18 2019-01-25 中国航空工业集团公司济南特种结构研究所 A kind of digitizing detection method of moulds of industrial equipment normal direction hole position accuracy
CN110617792A (en) * 2019-09-06 2019-12-27 北京星航机电装备有限公司 Reverse modeling method for mold line sample plate
CN111768347A (en) * 2020-05-15 2020-10-13 成都飞机工业(集团)有限责任公司 Method for judging whether part tool is suitable for changing analog quantity into digital quantity

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103049596A (en) * 2012-11-15 2013-04-17 四川达宇特种车辆制造厂 Method for improving reverse engineering accuracy of impeller part
CN103673916A (en) * 2012-09-06 2014-03-26 上海船舶工艺研究所 On-line detection method for line heating forming

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103673916A (en) * 2012-09-06 2014-03-26 上海船舶工艺研究所 On-line detection method for line heating forming
CN103049596A (en) * 2012-11-15 2013-04-17 四川达宇特种车辆制造厂 Method for improving reverse engineering accuracy of impeller part

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
徐建等: "基于Geomagic Qualify的叶片尺寸检测与分析", 《机械工程师》 *
徐翔: "汽车典型覆盖件曲面重构及精度提高", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
易军等: "基于逆向工程的汽车后保险杠建模", 《时代报告》 *
王永辉等: "基于CATIA数模的三坐标测量机在线测量探讨与实践", 《机械设计与制造》 *
陈博等: "基于CATIA V5和Geomagic Qualify的汽车零部件质量快速检测", 《北京汽车》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108073180A (en) * 2016-11-08 2018-05-25 北京金风科创风电设备有限公司 Control method, the device and system of unmanned plane
CN108073180B (en) * 2016-11-08 2020-07-28 北京金风科创风电设备有限公司 Control method, device and system of unmanned aerial vehicle
CN109269454A (en) * 2017-07-18 2019-01-25 中国航空工业集团公司济南特种结构研究所 A kind of digitizing detection method of moulds of industrial equipment normal direction hole position accuracy
CN110617792A (en) * 2019-09-06 2019-12-27 北京星航机电装备有限公司 Reverse modeling method for mold line sample plate
CN110617792B (en) * 2019-09-06 2021-03-02 北京星航机电装备有限公司 Reverse modeling method for mold line sample plate
CN111768347A (en) * 2020-05-15 2020-10-13 成都飞机工业(集团)有限责任公司 Method for judging whether part tool is suitable for changing analog quantity into digital quantity
CN111768347B (en) * 2020-05-15 2021-08-03 成都飞机工业(集团)有限责任公司 Method for judging whether part tool is suitable for changing analog quantity into digital quantity

Similar Documents

Publication Publication Date Title
AU2020100893A4 (en) Tunnel measurement and control method based on combination of three-dimensional laser scanner and bim
CN106767524A (en) A kind of hydraulic spoon of blade detection method and device
CN103267507B (en) The method of the flatness error of mechanical structural plan is extracted based on finite element analysis
CN104217079A (en) Method for measuring axial fan of wind driven generator by reversing technology
CN103438824B (en) A kind of large-scale wallboard class Components Digital quality determining method
CN103191958B (en) A kind of optical detecting method of sheet forming resilience
CN105302961A (en) Three-dimensional photography technology based folded pipe field measurement method
CN103033156B (en) The three-coordinate measuring method that a kind of three-dimensional design module is auxiliary and device
CN104236893A (en) Performance parameter test system and performance parameter test method of hydraulic damper
CN105043262A (en) Threaded hole component measuring and sorting device based on embedded and machine vision
CN104268940A (en) MEMS structure reconstruction and detection method based on CT scanned images
CN105045973A (en) Variable-arc-length adaptive sampling method
CN103615957A (en) Measuring tool for measuring size of D-shaped head
CN105510864A (en) Electric energy meter error metering detection method
CN106441147B (en) A kind of method for building up for essence casting moving turbine blade three dimensional optical measuring benchmark
CN103954691A (en) Nondestructive detection method for material composition fractions
CN103530441A (en) Method for three-dimensional modeling of steam turbine set through three-dimensional laser scanning technology
Li et al. The research of reverse engineering based on geomagic studio
CN106447781B (en) It is a kind of based on Minkowski and towards the collision checking method of automatic assembling
CN206146375U (en) System for online dimension parameter of large -scale side's rectangular pipe of many specifications detects usefulness
CN203657674U (en) Excavator boom lug measuring tool
CN202494642U (en) Intelligentization detector for support and expansion joint
CN103760485B (en) The rear end detection method of diode, triode
CN110222370B (en) Nuclear power station three-dimensional model repair control unit, system and method
CN203745159U (en) Sensor sealing performance rapid detection apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20141217