CN107806961B - Turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology - Google Patents

Turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology Download PDF

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CN107806961B
CN107806961B CN201710942190.2A CN201710942190A CN107806961B CN 107806961 B CN107806961 B CN 107806961B CN 201710942190 A CN201710942190 A CN 201710942190A CN 107806961 B CN107806961 B CN 107806961B
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blade
defect
coordinate
center
detection
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CN107806961A (en
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李兵
李应飞
陈磊
高飞
魏翔
高梦秋
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Xian Jiaotong University
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Xian Jiaotong University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00—Testing static or dynamic balance of machines or structures
    • G01M1/12—Static balancing; Determining position of centre of gravity
    • G01M1/122—Determining position of centre of gravity
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
    • G01N29/0654—Imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/0289—Internal structure, e.g. defects, grain size, texture
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/26—Scanned objects
    • G01N2291/269—Various geometry objects

Abstract

The turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology that the invention discloses a kind of, it is detected using ultrasonic phase array detection system to by the blade of rationalization partition, it will test data and import Computerized image processing system, fusion one by one is carried out to the leaf area of Subarea detecting and obtains the two-dimentional center-of-mass coordinate of defect；Pass through the design basis of blade, utilize the multi-group data of three coordinate machine measurement blade blade and reference edge, fit the functional relation along blade width direction and reference line direction, the three-dimensional center of gravity coordinate that defect is derived according to spatial relationship is finally completed the three-dimensional center of gravity coordinate precise detection and localization of defect.The 3-D positioning method of blade defect can be provided for technical staff, it is more acurrate, efficient.

Description

Turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology
Technical field
The invention belongs to industrial ultrasonic technical field of nondestructive testing, and in particular to a kind of based on the saturating of ultrasonic phased array technology Flat blade internal flaw three-dimensional center of gravity coordinate precise detection method.
Background technique
Turbine blade is turbomachinery, as in steam turbine, gas turbine, the hydraulic turbine to guide fluid according to certain orientation Flowing, and the important component of drive rotor rotation.By taking gas turbine as an example, blade be on gas turbine with high temperature and pressure height stream The working media of speed interacts and realizes the pneumatic part of core of energy conversion, and manufacture generallys use hot investment casting molding work Skill, and need to bear huge service load under high temperature and pressure.Since no matter blade is in manufacture or military service rank Section, may all be formed in the interior thereof the defect of the forms such as shrinkage cavity, loose, crackle, slag inclusion, it is whole to will seriously affect gas turbine Working performance, service life and the security reliability of operation of machine.Therefore, the detection technique of turbine blade defect is studied, it is right It improves China's gas turbine manufacture level, break through the technology blockage of developed country with important and far-reaching strategic importance.
Conventional non-destructive testing technology mainly has a ray detection, ultrasound detection, Liquid penetrant testing, the modes such as EDDY CURRENT, by In the curved-surface structure that the type face of turbine blade is complexity, usually by the nickel-base high-temperature alloy material hot investment casting with greater density Forming, and blade thickness is differed from several millimeters to tens millimeters, conventional Liquid penetrant testing, the modes such as EDDY CURRENT are mainly needle The defect of object near surface to be measured is detected, general detection range is several millimeters, can not effectively obtain test object Internal flaw；Ray detection method mainly uses industrial x-ray to carry out transillumination to blade, realizes by film imaging to blade The detection of internal flaw.This method has many advantages, such as imaging resolution height, high sensitivity, intuitive and reliable, in industrial nondestructive testing Field plays an important role.But the method is substantially the projection imaging on film along transillumination direction by blade, therefore is only capable of The enough two dimensional character information for clearly showing defect, can not but show three-dimensional feature information of the defect on transillumination direction, Even veteran professional technician is also difficult accurately to estimate the information on this dimension, working efficiency is lower, repeats Property is poor.Then Industrial Computed Tomography rebuilds the interior of part using image reconstruction technique by being largely sliced to object to be measured Portion's structure intuitive and accurate can reflect the internal structure of part, so that accurate three-dimensional coefficient is obtained, but due to Industry CT cost of equipment is high, testing cost is expensive, is largely sliced to part needs, and time availability is lower, is not suitable for Mass detection for turbine blade.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of based on ultrasound The turbine blade internal flaw barycentric coodinates detection method of phased-array technique is directed in practical engineering application to testing cost, inspection Requirement in terms of survey efficiency and accuracy, it is not high, reliable according to precision existing for current vane internal flaw positioning method Property insufficient, various problems such as location model is not perfect.
The invention adopts the following technical scheme:
Turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology, is detected using ultrasonic phase array System is detected to by the blade of rationalization partition, be will test data importing Computerized image processing system and is obtained the two of defect Tie up center-of-mass coordinate；Intended by the design basis of blade using the multi-group data of three coordinate machine measurement blade blade and reference edge The functional relation along blade width direction and reference line direction is closed out, derives that the three-dimensional center of gravity of defect is sat according to spatial relationship Mark, is finally completed the three-dimensional center of gravity coordinate precise detection and localization of defect.
Further, comprising the following steps:
S1, according to blade blade curved surface and thickness distribution, subregion is carried out to blade；
S2, with ultrasonic phase array probe subregion scanning detection is carried out to blade, on ultrasonic phase array instrument progress A, C, S shows and carries out data preservation to testing result；
S3, each Subarea detecting result of blade is successively merged on computers, reconstructs the general image of blade, Fused image is handled by image processing techniques, obtains the two-dimentional center-of-mass coordinate of defect
S4, the multi-group data that blade and blade design benchmark intersecting lens are detected using three coordinate machine, fit blade curved surface Spatial relationship formula；
S5, three-dimensional system of coordinate is established by the design basis of blade, the depth of defect is obtained by establishing space geometry relationship Coordinate z is spent, the three-dimensional center of gravity coordinate (x, y, z) of defect is derived according to spatial relationship.
Further, in step S1, according to the average thickness of blade, according to probe scanning direction, by the blade root of blade and Integral shroud is respectively divided into two regions up and down, and the average thickness in two region of leaf root side is greater than the average thickness in two region of integral shroud side, integral shroud Side region is divided according to blade profile curvature mutation.
Further, it in step S2, pops one's head in as the linear array probe of 8 × 8mm, scanning is perpendicular to contact surface, along blade side Scanning line by line is carried out in each subregion, the scanning of next subregion is carried out after the complete subregion of scanning again, until completing blade The scanning of all areas.
Further, in step S3, according to detection scheme of popping one's head in step S2, the detection image of blade is obtained, is shown with C For main display mode, it is assumed that the pixel number of detection image is M × N, then defect center-of-mass coordinateIt calculates as follows:
Wherein, I (xi,yi) indicating that computer reads the pixel value of each pixel of image, I indicates image slices vegetarian refreshments square Battle array,iIndicate the row for the matrix I that image pixel is constituted,jIndicate the column for the matrix I that image pixel is constituted.
Further, in step S4,30~50 groups of blade surface datas are acquired by three coordinate machine, fitting blade curved surface is empty Between relational expression z=f (y1), y1Indicate the design basis line of blade.
Further, in step S5, the center of gravity that defect is indicated with defect G point is initially set up, contact point C indicates center probe With the contact position of blade surface, C' point indicates the geometrical relationship figure of contact point C subpoint in xoy plane.
Further, step S5 the following steps are included:
S5.1, CC'=z is set0, AC'=n, OC'=m, OA=a, OC=c, AC=b, C' are contact point C on plane xoy Projection, according to CC' ⊥ plane xoy, then CC' ⊥ OC', CC' ⊥ AC' determine that side length relationship is as follows:
S5.2, according to the two-dimensional coordinate (x of the obtained defect G point of step S3G,yG) and CA ⊥ OA, then there is a2+b2=c2；
The distance CC ' of S5.3, center probe and blade surface contact point C apart from plane xoy is equal to design basis line y1Place Z-axis coordinate z=f (y1), i.e. z0=f (y1), z0Indicate subpoint C ' of the center probe contact point C to point C on plane xoy Distance determine defect position of centre of gravity d in conjunction with ultrasonic phased array imaging figure；
S5.4, the z acquired according to step S5.30, in conjunction with step S5.1 and S5.2, the z of defect center of gravity is obtained to coordinate zG。
Further, in step S5.3, defect position of centre of gravity d is as follows:
Wherein: v indicates that ultrasonic velocity in material, t indicate fault location ultrasound propagation time.
Further, in step S5.4, the z of defect center of gravity is to coordinate zGIt is expressed as follows:
Wherein: v indicate material in ultrasonic velocity, t indicate fault location ultrasound propagation time, CC' indicate center probe with Distance of the blade surface contact point C apart from plane xoy, y1Indicate that reference line, GC indicate the distance of defect point distance probe.
Compared with prior art, the present invention at least has the advantages that
The present invention is based on the turbine blade internal flaw barycentric coodinates detection method of ultrasonic phased array technology, setting based on blade Meter benchmark establishes reference frame, is fitted blade using the multi-group data of three coordinate machine measurement blade and design basis intersecting lens Curved surface relational expression between surface and benchmark, then by ultrasonic phase array probe measurement blade interior defect, it is soft with dedicated fusion Part carries out region fusion to the image that detection obtains, then obtains the accurate of defect three-dimensional center of gravity coordinate by space geometry relational expression Position provides a kind of localization method based on blade design basis itself for the precision positioning of blade parts, can be used as The reference of enterprise's defect location standard can be skill for the two-dimensional localization mode for the blade interior defect that current industry uses Art personnel provide the 3-D positioning method of blade defect, more acurrate, efficient.
Further, this method carries out rationalization partition to blade first according to blade blade curved surface and thickness distribution；Then it uses Ultrasonic phase array probe carries out Subarea detecting to blade, and carries out data preservation to testing result；Then on computers with special The each Subarea detecting result of blade is successively merged with fusion software TomoView, reconstructs the general image of blade；It is logical It crosses image processing techniques to handle fused image, obtains the two-dimentional center-of-mass coordinate of defect；Three coordinate machine is recycled to visit The multi-group data for surveying blade and blade design benchmark intersecting lens, fits the spatial relationship formula of blade curved surface；Finally by blade Design basis establish three-dimensional system of coordinate, the three-dimensional center of gravity coordinate (x, y, z) of defect is derived according to spatial relationship, compared to leaf The positioning of piece internal flaw ray detection three-dimensional coordinate manually comments piece, and 1~2 order of magnitude can be improved in the precision of this method, can be with Defect three-dimensional center of gravity position effectively is accurately positioned.
Further, subregion is carried out to blade, is on the one hand for according to blade thickness relationship, convenient for using ultrasound phase-control The setting of thickness parameter, improves detection efficiency when battle array probe is detected；On the other hand, blade itself Curve On The Surface variation becomes Gesture, at region 3 and region 4 spoon of blade mutate, in order to obtain more accurate probe contacts face center and its in the face xoy On subpoint distance CC ', therefore carry out such subregion.
Further, according to probe detection scheme, crop leaf measuring image is obtained, main display mode is shown as with C, it is false If the pixel number of detection image is M × N, defect two dimension center-of-mass coordinate is sought by computer programming, according to blade Internal flaw three-dimensional space detection schematic diagram, and probe detection path relation, it is known that the two-dimentional center-of-mass coordinate sought is internal The actual x of defect center of gravity, the coordinate value of y, in this way, i.e. seeking defect barycentric coodinates and be converted into seek remaining center of gravity z coordinate.
Further, utilize three coordinate machine fitting blade curved surface spatial relationship formula, it is therefore intended that seek blade surface with Relational expression z=f (the y of design basis1), in this way, probe utilizes the coordinate value pair of center probe when blade surface carries out scanning Z=f (y should be arrived1) in, to obtain the value of CC '.The detection accuracy of three coordinate machine is high, protects to obtain accurate detection value Card.
Further, establishing indicates the center of gravity of defect with defect G point, contact point C expression center probe and blade surface Contact position, it is scarce that C ' point indicates that contact point geometrical relationship schematic diagram purpose of subpoint in xoy plane is intuitively to show The spatial relation with the three-coordinate established according to blade design benchmark is fallen into, conveniently shifts the standard of defect center of gravity z coordinate onto True relational expression.
Further, it shifts onto obtain the three-dimensional center of gravity coordinate of defect center of gravity according to above several steps, due to industrial circle blade The positioning of class inside parts defect is usually using the two-dimentional mass center of defect or three-dimensional center of gravity as localization criteria, so i.e. in fact The positioning of blade interior defect is showed, in addition, available precision is in several μ to tens of number μ using above technical scheme Portion's defect three-dimensional center of gravity coordinate measurement value improves 1-2 order of magnitude of defect three-dimensional center of gravity coordinate setting precision on the basis of existing, It has been far superior to currently employed defect three-dimensional center of gravity coordinate setting evaluation mechanism.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Fig. 1 is ultrasonic phase array detection system connection schematic diagram of the present invention；
Fig. 2 is implementation process diagram of the present invention；
Fig. 3 is the Subarea detecting schematic diagram of blade；
Fig. 4 is blade Subarea detecting result schematic diagram；
Fig. 5 is that ultrasonic phase array detects space geometry relation schematic diagram.
Specific embodiment
The turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology that the present invention provides a kind of, inspection Examining system is as shown in Figure 1.It is detected to by the blade of rationalization partition, by the movement of probe, detects that blade interior lacks The display such as A, C, S is fallen into and carried out on ultrasonic phase array instrument, data are then saved, data import Computer Image Processing system System, is merged the leaf area of Subarea detecting by the dedicated fusion software of TomoView, then one by one with computer to fusion Leaf image afterwards carries out image procossing, to obtain the two-dimentional center-of-mass coordinate of defectBy the design basis of blade, The multi-group data that blade blade and reference edge are measured with three coordinate machine, to fit along blade width direction and reference line side To functional relation, to acquire the depth coordinate z of defect, be finally completed the three of defect by establishing space geometry relationship Tie up barycentric coodinates (x, y, z) precision positioning detection.
By taking gas turbine G50 level Four movable vane piece as an example, this method establishes reference frame based on the design basis of blade, benefit The curved surface for measuring the multi-group data of blade and design basis intersecting lens with three coordinate machine to be fitted between blade surface and benchmark closes It is formula, then by ultrasonic phase array probe measurement blade interior defect, is carried out with the image that dedicated fusion software obtains detection Region fusion, then the accurate location by space geometry relational expression acquisition defect three-dimensional center of gravity coordinate.
Referring to Fig. 2, a kind of turbine blade internal flaw barycentric coodinates detection based on ultrasonic phased array technology of the present invention Method, comprising the following steps:
S1, according to blade blade curved surface and thickness distribution, rationalization partition is carried out to blade；
Determine blade partition scheme
Gas turbine blades blade surface is complicated space curve, for G50 level Four movable vane piece, overall dimensions specification For, and blade thickness is more preferably bonded for the ease of ultrasonic phase array probe with blade surface from 2~13mm etc., has selected rule The linear array probe that lattice are, model 5L16-CA00；Meanwhile for convenience of the detection of probe, need detection path to probe into Row is made rational planning for, this just needs to carry out rationalization partition to blade, and the partition scheme of blade is as shown in Figure 3.
The average thickness in 1,3 regions of blade is big compared with 2,4 regions, and the division in 4 regions mainly relies on blade profile, In 3,4 region intersections, blade profile curvature mutates, and three-dimensional system of coordinate is established in order to facilitate subsequent step, here 4th area Domain is divided from this；
S2, Subarea detecting is carried out to blade with ultrasonic phase array probe, and data preservation is carried out to testing result；
When detecting blade with ultrasonic phase array detector, need to be arranged such as blade material, ultrasonic velocity, detection The parameters such as thickness, display mode (A/C/S/B) reduce operating process, design the scanning of probe for the convenience of parameter setting Scanning line by line is carried out in each subregion perpendicular to contact surface, along blade direction, carries out next point again after the complete subregion of scanning The scanning in area, until completing the scanning of blade all areas.
S3, with dedicated fusion software TomoView each Subarea detecting result of blade is successively melted on computers It closes, reconstructs the general image of blade；Fused image is handled by image processing techniques, obtains the two dimension of defect Center-of-mass coordinate；
According to detection scheme of popping one's head in step S2, the detection image of blade is obtained, main display mode is shown as with C, As shown in figure 4, being the image after a width blade partition-merge, wherein including two defects.
In order to seek the center-of-mass coordinate of two defects, it is assumed that the pixel number of the image is M × N, then defective matter Heart coordinate formula:
Wherein, I (xi,yi) indicating that computer reads the pixel value of each pixel of image, I indicates image slices vegetarian refreshments square Battle array,jIndicate the column for the matrix I that image pixel is constituted,iThe row for indicating the matrix I that image pixel is constituted can be with by relation above formula Pixel value I (the x of each pixel of image is read by computeri,yi), and data are saved, then defect two dimension is sought by programming Center-of-mass coordinate
S4, the multi-group data that blade and blade design benchmark intersecting lens are detected using three coordinate machine, fit blade curved surface Spatial relationship formula；
30~50 groups of blade surface datas are acquired by three coordinate machine, are closed using Matlab software fitting blade curved space It is formula z=f (y1), y1The design basis line of axis expression blade.
S5, three-dimensional system of coordinate is established by the design basis of blade, the three-dimensional center of gravity of defect is derived according to spatial relationship Coordinate (x, y, z).
Gas turbine blades type face is complicated space curved surface, in order to better illustrate ultrasonic phase array probe detection mould Type establishes geometrical relationship figure as shown in Figure 5.
Wherein, defect G point indicates the center of gravity of defect, and contact point C indicates the contact position of center probe and blade surface, C' Point indicates subpoint of the contact point C in xoy plane, if CC'=z0, AC'=n, OC'=m, OA=a, OC=c, AC=b.
S5.1, because C' be projection of the contact point C on plane xoy, have relational expression CC' ⊥ plane xoy, then CC' ⊥ OC', CC' ⊥ AC', has according to side length relationship:
S5.2, the pixel relationship for having passed through image in step s3 are realized and are taken defect image each with calculating is machine-readable The information of pixel seeks the two-dimentional center-of-mass coordinate (x, y) of defect by computer programming, then by the two-dimensional geometry information of defect With Fig. 5 three-dimensional geometry schematic diagram, it is known that the two-dimensional coordinate (x of defect G pointG,yG) can be acquired by formula 1；And because Probe is perpendicular to blade surface and carries out scanning line by line, then meets CA ⊥ OA, then have:
a2+b2=c2 (3)
S5.3, it just must be known by the distance of C to C' in the coordinate in z-axis direction to acquire defect under the coordinate system.It is known The spatial relationship formula z=f (y of blade design benchmark Yu blade surface type face is realized with three coordinate machine in step s 41), due to It pops one's head in gentle along blade scanning directional curvature, and probe is the linear array probe of 8 × 8mm, it is believed that probe is in some point When area carries out the movement of scanning line by line, center probe and distance CC' of the blade surface contact point C apart from plane xoy are equal to design base Directrix y1The z-axis coordinate z=f (y at place1), i.e. z0=f (y1), z0Indicate throwing of the center probe contact point C to point C on plane xoy The distance of shadow point C ' can be in the hope of the position d of defect center of gravity, according to relational expression in conjunction with ultrasonic phased array imaging figure:
Wherein: v indicates that ultrasonic velocity in material, t indicate fault location ultrasound propagation time.
I.e.Gas turbine blades are using nickel base superalloy, the velocity of sound of ultrasonic wave within this material For 5770m/s, fault location ultrasound propagation time can be by reading data in the A/S display figure of pbased-array instrumentation instrument, generally Time, t was 10-8~10-9The order of magnitude, that is, the CG value fractional part measured is between several μ to dozens of μ.
S5.4, the z acquired by step S5.30=f (y1), in conjunction with relational expression 2 and 3, defective center of gravity z is to coordinate zG:
In conjunction with defect two dimension center-of-mass coordinate in step S3The practical three-dimensional center of gravity coordinate of defect, which can be obtained, is Use Lab Model for the three coordinate machine of Global classic SR575, the maximum allowable detecting error of measurement accuracy- MPEP≤1.9 μm, i.e. z0=f (y1) fractional part in the range of several μ, comprehensively considers zGPrecision can achieve dozens of μ；
On the other hand, gas turbine blades are generally shaped by the way of hot investment casting, and surface accuracy generally may be used To reach 2 (10 μ).
The measurement accuracy for comprehensively considering defect coordinate of the present invention, the required precision with blade hot investment casting forming can be with Reach the same order of magnitude, and it is only mm grades that the common blade ray detection artificial film of industry at present, which comments the precision of piece, this hair It is bright that defect three-dimensional center of gravity coordinate setting 1~2 order of magnitude of precision can be improved on the basis of existing, it has been far superior to and has adopted at present Mechanism is evaluated in defect three-dimensional center of gravity coordinate setting.
For the present invention by taking gas turbine G50 level Four movable vane piece as an example, the design basis based on blade, which is established, is suitable for blade Three-dimensional system of coordinate establishes blade interior defect three-dimensional geometry relation schematic diagram by ultrasonic phase array detection technique, with three coordinates Machine measures the multi-group data in blade surface type face, is fitted blade profile curved line relation formula z=f (y1), it is aobvious in conjunction with ultrasonic phase array C Show and defect two dimension center-of-mass coordinate is calculated by computer image processing technology, further according to blade interior defect geometry relationship, derives The three-dimensional coordinate of defect center of gravity outRealize the precision positioning measurement of defect.
Currently, the precision of Medical B mode detection inside of human body physiology lesion generally can only achieve mm grades, and due to inside of human body The specific location of biorgan is different, can only generally realize the rough detection to size of tumor, be not carried out the position to lesion Positioning.Preferably, the method for the present invention also detects inside of human body physiology lesion for the B ultrasound of medical domain and provides lesion precision positioning New approaches.The present invention is not only able to achieve higher detection accuracy, meanwhile, it can also offer reference for the positioning of lesion.
The above content is merely illustrative of the invention's technical idea, and this does not limit the scope of protection of the present invention, all to press According to technical idea proposed by the present invention, any changes made on the basis of the technical scheme each falls within claims of the present invention Protection scope within.

Claims (7)

1. the turbine blade internal flaw barycentric coodinates detection method based on ultrasonic phased array technology, which is characterized in that using ultrasound Phased array detection system is detected to by the blade of rationalization partition, be will test data importing Computerized image processing system and is obtained To the two-dimentional center-of-mass coordinate of defect；By the design basis of blade, blade blade and reference edge are measured using three coordinate machine Multi-group data, fits the functional relation along blade width direction and reference line direction, derives defect according to spatial relationship Three-dimensional center of gravity coordinate, be finally completed the three-dimensional center of gravity coordinate precise detection and localization of defect, comprising the following steps:
S1, according to blade blade curved surface and thickness distribution, subregion is carried out to blade；
S2, subregion scanning detection is carried out to blade with ultrasonic phase array probe, it is aobvious that A, C, S is carried out on ultrasonic phase array instrument Show and data preservation is carried out to testing result；
S3, each Subarea detecting result of blade is successively merged on computers, reconstructs the general image of blade, passes through Image processing techniques handles fused image, obtains the two-dimentional center-of-mass coordinate of defect
S4, the multi-group data that blade and blade design benchmark intersecting lens are detected using three coordinate machine, fit the sky of blade curved surface Between relational expression；
S5, three-dimensional system of coordinate is established by the design basis of blade, show that the depth of defect is sat by establishing space geometry relationship Z is marked, the three-dimensional center of gravity coordinate (x, y, z) of defect is derived according to spatial relationship, specifically includes the following steps:
S5.1, CC'=z is set0, AC'=n, OC'=m, OA=a, OC=c, AC=b, C' are throwing of the contact point C on plane xoy Shadow, according to CC' ⊥ plane xoy, then CC' ⊥ OC', CC' ⊥ AC' determine that side length relationship is as follows:
S5.2, according to the two-dimensional coordinate (x of the obtained defect G point of step S3G,yG) and CA ⊥ OA, then there is a2+b2=c2；
The distance CC' of S5.3, center probe and blade surface contact point C apart from plane xoy is equal to design basis line y1The z-axis at place Coordinate z=f (y1), i.e. z0=f (y1), z0Indicate subpoint C' of the center probe contact point C to point C on plane xoy away from From determining defect position of centre of gravity d in conjunction with ultrasonic phased array imaging figure；
S5.4, the z acquired according to step S5.30, in conjunction with step S5.1 and S5.2, the z of defect center of gravity is obtained to coordinate zG。
2. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, in step S1, it is according to probe scanning direction, the blade root of blade and integral shroud is each according to the average thickness of blade It is divided into two regions up and down, the average thickness in two region of leaf root side is greater than the average thickness in two region of integral shroud side, integral shroud side region It is divided according to blade profile curvature mutation.
3. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, in step S2, pop one's head in as the linear array probe of 8 × 8mm, scanning is perpendicular to contact surface, along blade direction each A subregion carries out scanning line by line, carries out the scanning of next subregion after the complete subregion of scanning again, until completing all areas of blade The scanning in domain.
4. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, according to detection scheme of popping one's head in step S2, obtaining the detection image of blade in step S3, it is shown as main with C Display mode, it is assumed that the pixel number of detection image is M × N, then defect center-of-mass coordinateIt calculates as follows:
Wherein, I (xi,yj) indicating that computer reads the pixel value of each pixel of image, I indicates image pixel dot matrix, i table Show that the row for the matrix I that image pixel is constituted, j indicate the column for the matrix I that image pixel is constituted.
5. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, acquiring 30~50 groups of blade surface datas in step S4 by three coordinate machine, being fitted blade curved space relationship Formula z=f (y1), y1Indicate the design basis line of blade.
6. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, defect position of centre of gravity d is as follows in step S5.3:
Wherein: v indicates that ultrasonic velocity in material, t indicate fault location ultrasound propagation time.
7. the turbine blade internal flaw barycentric coodinates detection method according to claim 1 based on ultrasonic phased array technology, It is characterized in that, in step S5.4, the z of defect center of gravity is to coordinate zGIt is expressed as follows:
Wherein: v indicates that ultrasonic velocity in material, t indicate that fault location ultrasound propagation time, CC' indicate center probe and blade Distance of the surface contact point C apart from plane xoy, y1Indicate that reference line, GC indicate the distance of defect point distance probe.
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