JPS5934146A - Flaw detector for rotor blade - Google Patents
Flaw detector for rotor bladeInfo
- Publication number
- JPS5934146A JPS5934146A JP57143278A JP14327882A JPS5934146A JP S5934146 A JPS5934146 A JP S5934146A JP 57143278 A JP57143278 A JP 57143278A JP 14327882 A JP14327882 A JP 14327882A JP S5934146 A JPS5934146 A JP S5934146A
- Authority
- JP
- Japan
- Prior art keywords
- frequency
- blade
- abnormality
- normal
- hammered
- 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
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
-
- 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
- G01N29/045—Analysing solids by imparting shocks to the workpiece and detecting the vibrations or the acoustic waves caused by the shocks
-
- 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
- G01N2291/2693—Rotor or turbine parts
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
Description
【発明の詳細な説明】
本発明はロータブレードの探傷装置に関し、特にタービ
ンロータのブレードに存在する亀裂を簡単なハンマリン
グにより探傷することのできる探傷装置に関する。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a rotor blade flaw detection device, and more particularly to a flaw detection device capable of detecting cracks existing in a turbine rotor blade by simple hammering.
金属部材等の材質やその生成した傷を検査する場合、広
く一般に非破壊検査法が用いられているが、この非破壊
検査法はその部材の形体や材質を損うことなく検査がで
きる点で、探傷法としても汎用されてきた。しかして、
タービンロータにおいては、そのブレードに亀裂が存在
しているか否かを探傷する場合、従来から非破壊検査の
手段の一つとしてX線等の放射線による透過検査や顕微
鏡等による目視検査が多く使用されてきている。Non-destructive testing methods are widely used when inspecting materials such as metal parts and the scratches generated by them. It has also been widely used as a flaw detection method. However,
When detecting the presence of cracks in the blades of turbine rotors, transmission inspection using radiation such as X-rays and visual inspection using microscopes have traditionally been used as non-destructive inspection methods. It's coming.
しかしながら、このような従来の探傷手段では、何れの
場合にあってもブレードをロータから分解しなければな
らず、特に放射線透過検査による場合は透過像を得るた
めに全面的な投影を必要とし、設備に費用が故むごとの
上に時間がかかる。また、顕微鏡によるものは外傷に限
られ、その探傷に際して傷口の小さいものは見落す虞れ
があり信頼性にか番づる。However, with such conventional flaw detection methods, the blade must be disassembled from the rotor in any case, and especially when using radiographic inspection, it is necessary to project the entire surface in order to obtain a transmission image. Not only does equipment cost money, it also takes time. In addition, the use of a microscope is limited to detecting external injuries, and when detecting flaws, there is a risk of overlooking small wounds, so reliability is an issue.
本発明の目的は、上述の欠点を除宍し、ブレードを四−
夕から分解することなくタービンロータの状態のままで
、しかもハンマリングによって個々のブレードにおける
亀裂を探傷することのできるロータブレードの探傷装置
を提供することにある。The object of the invention is to eliminate the above-mentioned drawbacks and to make the blade four-
To provide a rotor blade flaw detection device capable of detecting cracks in individual blades by hammering the turbine rotor as it is without disassembling it.
かかる目的を達成するために、本発明では、ロータブレ
ードなハンマリングして発生する音波を収録し、その周
波数を測定して、正常なプレート。In order to achieve this purpose, the present invention records the sound waves generated by rotor blade hammering, measures its frequency, and determines whether the plate is in good condition.
で同様にして得られた周波数と比較することによりブレ
ードの異常を検出する。Abnormalities in the blade are detected by comparing the frequency with the frequency obtained in the same manner.
以下に、図面を参照して本発明の詳細な説明する〇
一般の軸流クーピンにおいては、そのタービンブレード
がロータに放射状に植設されていて片持梁構造に構成さ
れているため、ブレードに亀裂が生成すると、剛性が低
下することによってそのブレードにおける固有振動数が
他の正常なブレードに比し低くなる。The present invention will be described in detail below with reference to the drawings. In a general axial flow coupin, the turbine blades are installed radially on the rotor and have a cantilever structure. When cracks form, the stiffness decreases and the natural frequency of the blade becomes lower than that of other normal blades.
そこで、本発明はかかる原理に基づき個々のブレードに
ついてハンマリング3行い1他のブレードをも共振させ
て、これらの音波を集音装置を介して集音して、その周
波数を分析した結果、第1図(4)およびω)のような
特性曲線が得られた。ここで、横軸は周波@(Hz)を
、縦軸は音の強さくdB)を示し、第1図(A)は正常
なブレードをハンマリングしたときの周波数分布、第1
図(J3)は亀裂等異常のあるブレードをハンマリング
したときの周波数分布である。Therefore, based on this principle, the present invention performs three hammering operations on each blade, causes other blades to resonate, collects these sound waves through a sound collector, and analyzes the frequencies. Characteristic curves as shown in Figure 1 (4) and ω) were obtained. Here, the horizontal axis shows the frequency @ (Hz), and the vertical axis shows the sound intensity (dB), and Figure 1 (A) shows the frequency distribution when a normal blade is hammered.
Figure (J3) shows the frequency distribution when a blade with abnormalities such as cracks is hammered.
すなわち、低い周波数A(Hz)の処で突出して示され
る波形のピークは異常のあるブレードに基づき発生した
ものであり、周波数B−C(Hz)間のピークは異常の
ない他のブレードからの共編前によるものであって、こ
れらの特性曲線を比較することにより、ロータプレード
に亀裂が生じているか否かと共に、亀裂の存在するブレ
ードを検知し得ることが明らかとなった。In other words, the peak of the waveform that stands out at the low frequency A (Hz) is generated by the blade with the abnormality, and the peak between frequencies B and C (Hz) is generated from other blades without the abnormality. It has become clear that by comparing these characteristic curves, it is possible to detect whether or not cracks have occurred in the rotor blade, as well as to detect which blades have cracks.
本発明は上述した原理に基づいてなされたもので、第一
図はかかる原理に基づく本発明の一実施例を示す。ここ
で、図の右方に示すlは検査の対象となるタービンロー
タ、コはそのロータブレードであり、ブレードJ!−ハ
ンマ3でハンマリングすることによりブレートコに存在
する亀裂の探傷を行うもので、その探傷装[、S−はマ
イクロホン6゜周波数分析部7y F/vコンバータざ
r A/pコンバータ9および演算部/θを有する。1
枚のブレードsをハンマリングした際の他のブlツート
コの共振音をとり込んだ振動音をマイクロホンルで集音
して周波数分析部りに供給し、ここで周波数分布やその
分布の平均周波数などの周波数出力を得る。The present invention has been made based on the above-mentioned principle, and FIG. 1 shows an embodiment of the present invention based on this principle. Here, l shown on the right side of the figure is the turbine rotor to be inspected, ko is the rotor blade, and blade J! - It detects cracks existing in the brake plate by hammering with a hammer 3, and the flaw detection equipment [, S- is a microphone 6°, a frequency analysis section 7y, an F/v converter, an A/p converter 9, and a calculation section. /θ. 1
The vibration sound that incorporates the resonance sound of other blades when hammering the blade s is collected by a microphone and supplied to the frequency analysis section, where the frequency distribution and the average frequency of the distribution are collected. Get a frequency output such as.
周波数分析部7で得られた周波数出力はF/Vコンバー
タtに供給されて電圧に変換され、更にこの電圧出力は
A/Dコンバータ9に供給されてディジタル量に変換さ
れ、ここから演算部/θに出力される。演算部IOには
メモリ//を設け、このメモリl/に、予め正常なブレ
ードaをハンマリングした時に周波微分析されて得られ
る各周波数における音の強さ、すなわち周波数分布また
は平均周波数などの基準周波数出力を記憶しておく。従
って、あるブレートコをハンマリングしたときに、その
周波数出力が正常なブレートコのハンマリングによって
得られる正常値の範囲より外れた場合は、その旨を演算
部10で判定し、このブレートコに異常ありとして1ラ
ンプまたはブザー等で構成される異常報知手段/、2に
異常信号を供給して異常報知させることができる。The frequency output obtained by the frequency analysis section 7 is supplied to the F/V converter t and converted into a voltage, and this voltage output is further supplied to the A/D converter 9 and converted into a digital quantity, from which the calculation section / Output to θ. The calculation unit IO is provided with a memory//, and this memory l/ stores the sound intensity at each frequency obtained through frequency microanalysis when a normal blade a is hammered, that is, the frequency distribution or average frequency, etc. Memorize the reference frequency output. Therefore, when a certain brake coil is hammered, if its frequency output deviates from the range of normal values obtained by hammering a normal brake coil, the arithmetic unit 10 determines this and determines that the brake coil is abnormal. An abnormality can be notified by supplying an abnormality signal to the abnormality notification means/2, which is comprised of a lamp, a buzzer, or the like.
更に、演算部10で求めた平均周波数出力を周波’II
H示メータ/3に供給して、その平均周波数出力を読
取ることもできる。なお、周波数表示メータ/Jにおけ
る周波数の表示はアナ四グあるいはディジタル量の何れ
の形態であってもよい。Furthermore, the average frequency output obtained by the calculation unit 10 is calculated as the frequency 'II
It can also be supplied to a H indicator meter/3 and read its average frequency output. Note that the frequency display on the frequency display meter/J may be in either an analog or digital format.
更にまた、演算部ioで得た周波数分布出力に高速フー
リエ変換(FFT )を施して、その出力を陰極線管デ
ィスプレイ/りに表示して、第1図(A)および(B)
に示したような特性曲線を映出させ、以て正常なときの
特性曲線と比較し、異常を検出するようにしてもよい。Furthermore, a fast Fourier transform (FFT) is applied to the frequency distribution output obtained by the calculation unit io, and the output is displayed on a cathode ray tube display, as shown in FIGS. 1(A) and (B).
An abnormality may be detected by displaying a characteristic curve such as the one shown in FIG. 1 and comparing it with the normal characteristic curve.
以上説明してぎたように、本発明によれば、セータに植
設された7枚のブレードのみをハンマリングし、その際
他のブレードの共振音をもとり込み、その振動音を周波
数分析して、ブレードが正常な状態の場合と亀裂等異常
のある場合とを比較するようになし、分析して得られた
周波数が正常値の限界より所定値以上具なるときに異常
と判断するようにしたので、ブレードをロータに取付け
たままの状態で分解することなく探傷を行うことができ
、しかも単にハンマリングするのみでブレードに存在す
る亀裂を確実かつ迅速に検知することができる。更に平
均周波数を1回のハンマリングを行うのみで検知するこ
ともできる。As explained above, according to the present invention, only the seven blades installed in the sweater are hammered, and at that time, the resonance sound of the other blades is also captured, and the vibration sound is frequency-analyzed. , the blade is in a normal state and the blade is in a normal state with an abnormality such as a crack, and when the frequency obtained from the analysis exceeds the normal value limit by a predetermined value or more, it is determined to be abnormal. Therefore, flaw detection can be performed without disassembling the blade while it is still attached to the rotor, and cracks existing in the blade can be detected reliably and quickly simply by hammering. Furthermore, it is also possible to detect the average frequency by performing only one hammering.
第1図(A)およびω)は、正常なブレードをハンマリ
ングしたときおよび異常があるブレードをハンマリング
したときに得られるそれぞれの周波数分布図、第2図は
本発明ロータブレードの探傷装置の構成の一例をロータ
およびハンマと共に示すブロック図である。
l・・・タービンロータ、
コ・・・ブレード、
3・・・ハンマ、
3・・・探傷装置、
6・・・マイクロホン、
7・・・周波数分析部、
J 、、、 F/vコンバータ、
7…A/Dコンバータ、
lO・・・演算部、
//・・・メモリ、
/2・・・異常報知手段、
/3・・・周波数表示メータ、
lり・・・陰極線、管ディスプレイ。
特許出願人 日産自動車株式会社Figures 1 (A) and ω) are frequency distribution diagrams obtained when hammering a normal blade and a blade with an abnormality, respectively, and Figure 2 is a diagram of the flaw detection device for rotor blades of the present invention. FIG. 2 is a block diagram showing an example of the configuration together with a rotor and a hammer. l... Turbine rotor, Co... Blade, 3... Hammer, 3... Flaw detection device, 6... Microphone, 7... Frequency analysis section, J... F/v converter, 7 ...A/D converter, lO...computation unit, //...memory, /2...abnormality reporting means, /3...frequency display meter, lri...cathode ray, tube display. Patent applicant Nissan Motor Co., Ltd.
Claims (1)
音手段から得られた前記振動音および前記共振音につい
ての周波数出力を得る周波数分析手段と、前記周波数出
力を異常がないブレードについて予め求めておいた基準
周波数出力と比較して異常の有無を検出する演算部とを
具備したことを特徴とするロータブレードの探傷装置。a frequency analysis means for obtaining frequency outputs of the vibration sound and the resonance sound obtained from the sound collection means; 1. A rotor blade flaw detection device comprising: a calculation unit that detects the presence or absence of an abnormality by comparing it with a reference frequency output determined in advance.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP57143278A JPS5934146A (en) | 1982-08-20 | 1982-08-20 | Flaw detector for rotor blade |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP57143278A JPS5934146A (en) | 1982-08-20 | 1982-08-20 | Flaw detector for rotor blade |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS5934146A true JPS5934146A (en) | 1984-02-24 |
Family
ID=15335015
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP57143278A Pending JPS5934146A (en) | 1982-08-20 | 1982-08-20 | Flaw detector for rotor blade |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS5934146A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04258727A (en) * | 1990-09-19 | 1992-09-14 | Rem Technol Inc | Crack detecting method for stationary central shaft system |
JPH04305140A (en) * | 1990-09-19 | 1992-10-28 | Rem Technol Inc | Method for detecting crack in shaft system in operation |
CN1100665C (en) * | 1995-12-04 | 2003-02-05 | 东丽株式会社 | Pressure vessel and method of manufacturing same |
JP2005172430A (en) * | 2003-12-05 | 2005-06-30 | Toto Ltd | Flaw-detecting method of ceramic product |
EP1205749B1 (en) * | 2000-10-10 | 2013-12-04 | Snecma | Acoustic testing of monobloc turbine wheels |
JP2015101991A (en) * | 2013-11-22 | 2015-06-04 | 三菱日立パワーシステムズ株式会社 | Inspection method of turbine rotor |
JP2017502345A (en) * | 2013-12-20 | 2017-01-19 | ターボメカTurbomeca | Endoscope and method of using the same |
WO2017010206A1 (en) * | 2015-07-10 | 2017-01-19 | Ntn株式会社 | Maintenance method for wind power generation facility, and unmanned flying-machine |
JP2017090328A (en) * | 2015-11-13 | 2017-05-25 | エコ・パワー株式会社 | Inspection method of blade for wind power generator |
WO2017110743A1 (en) * | 2015-12-25 | 2017-06-29 | Ntn株式会社 | Large structure maintenance method, method for maintaining wind-power generation facility, and unmanned aircraft |
DE102017208043A1 (en) * | 2017-05-12 | 2018-11-15 | Siemens Aktiengesellschaft | Automated sound test on multi-component parts using pattern recognition |
WO2020030364A1 (en) * | 2018-08-10 | 2020-02-13 | Siemens Aktiengesellschaft | Automated resonance test on multi-component components by means of pattern recognition |
-
1982
- 1982-08-20 JP JP57143278A patent/JPS5934146A/en active Pending
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04258727A (en) * | 1990-09-19 | 1992-09-14 | Rem Technol Inc | Crack detecting method for stationary central shaft system |
JPH04305140A (en) * | 1990-09-19 | 1992-10-28 | Rem Technol Inc | Method for detecting crack in shaft system in operation |
CN1100665C (en) * | 1995-12-04 | 2003-02-05 | 东丽株式会社 | Pressure vessel and method of manufacturing same |
EP1205749B1 (en) * | 2000-10-10 | 2013-12-04 | Snecma | Acoustic testing of monobloc turbine wheels |
JP2005172430A (en) * | 2003-12-05 | 2005-06-30 | Toto Ltd | Flaw-detecting method of ceramic product |
JP2015101991A (en) * | 2013-11-22 | 2015-06-04 | 三菱日立パワーシステムズ株式会社 | Inspection method of turbine rotor |
JP2017502345A (en) * | 2013-12-20 | 2017-01-19 | ターボメカTurbomeca | Endoscope and method of using the same |
WO2017010206A1 (en) * | 2015-07-10 | 2017-01-19 | Ntn株式会社 | Maintenance method for wind power generation facility, and unmanned flying-machine |
JP2017090328A (en) * | 2015-11-13 | 2017-05-25 | エコ・パワー株式会社 | Inspection method of blade for wind power generator |
WO2017110743A1 (en) * | 2015-12-25 | 2017-06-29 | Ntn株式会社 | Large structure maintenance method, method for maintaining wind-power generation facility, and unmanned aircraft |
DE102017208043A1 (en) * | 2017-05-12 | 2018-11-15 | Siemens Aktiengesellschaft | Automated sound test on multi-component parts using pattern recognition |
WO2020030364A1 (en) * | 2018-08-10 | 2020-02-13 | Siemens Aktiengesellschaft | Automated resonance test on multi-component components by means of pattern recognition |
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