CN104090024A - Angle steel inner-pore detection method - Google Patents
Angle steel inner-pore detection method Download PDFInfo
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- CN104090024A CN104090024A CN201310435731.4A CN201310435731A CN104090024A CN 104090024 A CN104090024 A CN 104090024A CN 201310435731 A CN201310435731 A CN 201310435731A CN 104090024 A CN104090024 A CN 104090024A
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Abstract
The invention discloses an angle steel inner-pore detection method. The angle steel inner-pore detection method comprises the following steps of detecting if the angle steel interior has pores by stress wave or not, further detecting positions of the pores by surface acoustic wave if the pores exist, and building a three-dimensional model of the angle steel and the pores by computer software so that the pores in the angle steel are shown accurately. The angle steel inner-pore detection method can accurately detect the sizes of the pores in the angle steel, determine the positions of the pores in the angle steel and acquire the three-dimensional model of the angle steel and the pores in the angle steel, and has the characteristics of fast detection rate and good economical efficiency.
Description
Technical field
The present invention relates to a kind of lumber quality detection method, especially relate to a kind of position and big or small angle steel internal void detection method that can accurately detect the hole in angle steel.
Background technology
Dynamic Non-Destruction Measurement is development in recent years timber quality detection method rapidly, can not destroy under the prerequisite of the shape of timber own, structure, position Fast Measurement timberphysics mechanical property.Stress wave timber Dynamic Non-Destruction Measurement can not destroy under the prerequisite of timber usability, detects fast size, specification and the basic physical property etc. of timber, and based on this advantage, stress wave Dynamic Non-Destruction Measurement more and more came into one's own in recent years.
Angle steel is the indispensable a kind of building materials of building trade, but owing to may forming hole in angle steel inside in process, if the angle steel with hole is used for building construction, after so of long duration, may there is internal corrosion or because stress fatigue effect causes the fracture of hole position, form the potential safety hazard that jeopardizes people's life.Although some method can realize the detection of the inner character of steel component at present, these methods are all not suitable for the demand of field quick detection.Although as prospection stress wave detection method can detect the existence of angle steel internal void, remain in some shortcomings, as the method cannot accurately judge the size of angle steel internal void and at the relative position of angle steel inside.
Chinese patent mandate publication number: CN102706963A, authorize open day on October 3rd, 2012, the inner rotten stress wave lossless detection device of a kind of ancient tree and historic building structure is disclosed, this device comprises a plurality of sensors, sensor fastening device, power hammer, micro-damage type pin type connector, data handling system and the inner rotten fault imaging software of timber, and described sensor, described data handling system and the computing machine that described imaging software is installed are connected by some wires.This invention exists cannot accurately determine the position of hole and the big or small deficiency of hole.
Summary of the invention
Goal of the invention of the present invention is cannot accurately determine the position of hole and the big or small deficiency of hole in order to overcome prospection stress wave detection method of the prior art, provides a kind of and can accurately detect the position of the hole in angle steel and the angle steel internal void detection method of size.
To achieve these goals, the present invention is by the following technical solutions:
An angle steel internal void detection method, a kind of angle steel pick-up unit detecting for angle steel hole comprises acoustic surface wave device, distance measuring sensor and several shockwave sensors; On shockwave sensor, distance measuring sensor and acoustic surface wave device, be respectively equipped with the data-interface for being electrically connected to computing machine; Described acoustic surface wave device comprises counter, oscillator and SAW (Surface Acoustic Wave) resonator; Oscillator and SAW (Surface Acoustic Wave) resonator form oscillation circuit, and counter is electrically connected to oscillation circuit, and counter is provided with the data-interface for being electrically connected to computing machine, and SAW (Surface Acoustic Wave) resonator is provided with two probes, and distance measuring sensor is located on a probe; Described detection method comprises the steps:
(1-1) in computing machine, set in advance stochastic resonance system model and hole wall thickness forecast model;
In computing machine, set
n span and the absolute value A of standard signal to noise ratio (S/N ratio) valley
icorresponding relation, i=1, L, n; Specification error threshold value d, sets surface acoustic wave detection threshold S; Wherein,
the diameter of hole,
the angle steel thickness of hole position;
(1-2) two ends of angle steel are made as respectively to initiating terminal and end, pulse hammer and each shockwave sensor are fixed on the inside and outside surface of initiating terminal;
(1-3) pulse hammer is knocked angle steel, the inner stress wave that produces of angle steel, and the stress wave signal that each shockwave sensor is detected is input in computing machine, and computing machine calculates the mean value of each stress wave signal, obtains stress wave average signal;
(1-4) in stress wave average signal, extract 1 complete stress wave pulse signal, the described stress wave pulse signal I (t) in 0 to 120ms is inputted in stochastic resonance system model, stochastic resonance system model is resonated; Computing machine utilizes snr computation formula to calculate output signal-to-noise ratio SNR;
Accidental resonance technology is shown up prominently in detection data feature values extraction field at present.This theory is proposed in 1981 by Italian physicist Benzi, in order to the phenomenon of explaining that the earth meteorological glacial epoch in time immemorial and cycle warm climate phase alternately occur.Accidental resonance has three elements: nonlinear system, weak signal and noise source.From signal process angle, consider, accidental resonance is in nonlinear properties transmitting procedure, by regulating intensity or other parameter of system of noise, make system output reach optimum value, in fact also can think the collaborative state of input signal, nonlinear system, noise.
Generally, input the signal that external force can be thought desirable electric nasus system in flip-flop-model, noise is the interchannel noise of introducing in testing process, and the input of bistable system (signal plus noise) is as the detection signal of electric nasus system reality.Under the excitation of excitation noise, system produces accidental resonance, and now output signal is greater than input signal, thereby has played the effect that signal amplifies.Meanwhile, accidental resonance is transformed into the noise energy in part detection signal in signal and goes, thereby has effectively suppressed the noisiness in detection signal.Therefore, stochastic resonance system is equivalent to improve the effect of output signal-noise ratio, and signal, excitation noise and bistable system can be regarded an efficient signal processor as.On above technical foundation, stochastic resonance system output signal-to-noise ratio analytical technology can be reacted the essential characteristic information of sample preferably.
What accidental resonance output signal-to-noise ratio characteristic information reflected is the essential information of sample, and this characteristic information does not change with the restriction of detection method or multiplicity, only relevant with the character of sample, is conducive to the demarcation of properties of samples, improves accuracy of detection.
Accidental resonance analytical approach favorable reproducibility, repeats 100 times and calculates, and the resultant error ratio of output is no more than 0.1%.And the error ratio of the frequency signal error rate that simple stress wave detects after than accidental resonance Analysis signal-to-noise ratio (SNR) exceeds several times.
(1-5) computing machine draws the output signal-to-noise ratio curve of stochastic resonance system model, obtains the signal to noise ratio (S/N ratio) valley of signal to noise ratio (S/N ratio) curve, and using the absolute value of signal to noise ratio (S/N ratio) valley as signal to noise ratio (S/N ratio) eigenwert F;
(1-6) when
to make the hole in angle steel be A to computing machine
icorresponding
the judgement of span;
(1-7) when
and measuring position is during apart from 1.5 centimetres of the end > of angle steel, pulse hammer and each shockwave sensor are taken off from the inside and outside surface of angle steel, pulse hammer and each shockwave sensor are moved to angle steel end gradually, and pulse hammer and each shockwave sensor are fixed on the inside and outside surface of angle steel apart from 0.5 to 1 centimetre of measuring position last time successively, repeating step (1-3) to (1-6) is measured;
When
and measuring position is during apart from end≤1.5 of angle steel centimetre, and pulse hammer quits work, and computing machine is made the imporous judgement of angle steel, and will judge that information shows on computer screen;
When
proceed to step (1-8);
(1-8) measure the wall thickness of hole:
Step a, takes off pulse hammer and each shockwave sensor from the inside and outside surface of angle steel;
Two probes of SAW (Surface Acoustic Wave) resonator are fixed on the inside and outside surface of initiating terminal of the angle steel that is enclosed with polyimide insulative film, the spacing between two probes is 2 to 3 millimeters; The end of angle steel is provided with for reflecting the baffle plate of the measuring-signal of distance measuring sensor;
Step b, SAW (Surface Acoustic Wave) resonator work, counter detects surface acoustic wave response frequency Freq
sAW, surface acoustic wave response frequency Freq
sAWbe input in computing machine, computing machine utilizes hole wall thickness forecast model to calculate hole in angle steel with respect to the wall thickness of probe side;
Step c, moves the fixing position of two probes of SAW (Surface Acoustic Wave) resonator and the inside and outside surface of angle steel along the cross-sectional direction of angle steel, and repeating step b detects, and obtains several wall thickness d;
Steps d, the distance value between the probe that distance measuring sensor is detected and angle steel end and being stored in computing machine with corresponding each wall thickness d of distance value;
Step e, repeating step a to d carries out the detection of axial scan formula to angle steel;
(1-9) in advance the inside and outside surface of angle steel is measured, set the coordinate of the inside and outside lip-deep point of angle steel, according to the coordinate of the point on the inside and outside surface of angle steel, distance value between probe and angle steel end and each wall thickness d corresponding with distance value, computing machine is set up the three-dimensional model of angle steel and angle steel mesoporosity.
Stress wave has the advantages that penetration capacity is strong, and the present invention adopts stress wave first to detect and in the angle steel that diameter is large, whether has hole;
While having hole, with surface acoustic wave, further detect the position of hole, and use computer software to set up three-dimensional model for angle steel and hole, thereby the hole in angle steel is accurately presented.
Simple stress wave can only detect in angle steel, whether there is hole, the detection method that adopts stress wave to combine with surface acoustic wave in the present invention, stress wave is mainly realized the size detection of angle steel internal void, and surface acoustic wave Detection Techniques can precise positioning hole position, the two is in conjunction with the accurate judgement that can realize angle steel mesoporosity size and position simultaneously, so just can cut out inside have hole angle steel material need not, effectively improve building safety, reduce economic loss.
As preferably, in described step b, hole wall thickness forecast model is
As preferably, described stochastic resonance system model is
wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and A is input signal strength, and D is noise intensity, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving.
As preferably, described snr computation formula is
wherein, ω is signal frequency, and Ω is angular frequency, and S (ω) is signal spectral density, S
n(Ω) be the noise intensity in signal frequency range.
As preferably, described surface acoustic wave detection threshold S is 1.4% to 3.5%.
As preferably, described error threshold d is 0.2 to 0.8.
As preferably, the centre frequency of SAW (Surface Acoustic Wave) resonator is 433.92MHZ.
As preferably, shockwave sensor is 4 to 12.
Therefore, the present invention has following beneficial effect: (1) can accurately detect the size of the hole in angle steel; (2) can determine the position of angle steel mesoporosity; (3) can access the three-dimensional model of the hole in angle steel and angle steel; (4) detect quick, good economy performance.
Accompanying drawing explanation
Fig. 1 is a kind of process flow diagram of the present invention;
Fig. 2 is theory diagram of the present invention;
Fig. 3 is stress wave pulse signal figure of the present invention;
Fig. 4 is the output signal-to-noise ratio curve of stress wave detection signal of the present invention;
Fig. 5 is angle steel cross-sectional view of the present invention and coordinate system figure;
Fig. 6 is a kind of structural representation of baffle plate of the present invention.
In figure: acoustic surface wave device 1, distance measuring sensor 2, shockwave sensor 3, counter 4, oscillator 5, SAW (Surface Acoustic Wave) resonator 6, probe 7, computing machine 8, angle steel 9, hole 10, baffle plate 11.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
Embodiment is as shown in Figure 1 a kind of angle steel internal void detection method, and a kind of angle steel pick-up unit detecting for angle steel hole comprises acoustic surface wave device 1, distance measuring sensor 2 and 6 shockwave sensors 3; On shockwave sensor, distance measuring sensor and acoustic surface wave device, be respectively equipped with the data-interface for being electrically connected to computing machine;
Acoustic surface wave device comprises counter 4, oscillator 5 and SAW (Surface Acoustic Wave) resonator 6; Oscillator and SAW (Surface Acoustic Wave) resonator form oscillation circuit, and counter is electrically connected to oscillation circuit, and counter is provided with the data-interface for being electrically connected to computing machine 8, and SAW (Surface Acoustic Wave) resonator is provided with two probes 7, and distance measuring sensor is located on a probe; Detection method comprises the steps:
In computing machine, set in advance stochastic resonance system model:
wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and A is input signal strength, and D is noise intensity, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving;
In computing machine, set in advance hole wall thickness forecast model:
In computing machine, set the diameter of hole
angle steel diameter with hole position
between ratio
4 spans and the absolute value A of standard signal to noise ratio (S/N ratio) valley
icorresponding relation, i=1, L, 4; Specification error threshold value d=0.2, sets surface acoustic wave detection threshold S=2%;
and A
icorresponding relation be to obtain by experiment: with stress wave to difference
the angle steel of the hole of span detects, and obtains signal I (t), by frequency signal I (t) input stochastic resonance system model, stochastic resonance system model is resonated; Computing machine draws the output signal-to-noise ratio curve of stochastic resonance system model, obtains the signal to noise ratio (S/N ratio) valley of signal to noise ratio (S/N ratio) curve;
To this hole duplicate detection 200 times, obtain the absolute value of 200 signal to noise ratio (S/N ratio) valleies, the absolute value of signal to noise ratio (S/N ratio) valley is averaged, and measures the size of hole and the angle steel diameter dimension of detection position of these trees simultaneously, thereby obtain
with A
ibetween corresponding relation.
In the present embodiment, when
be defined as aperture angle steel, corresponding A
1=19.8dB;
When
be defined as mesopore angle steel, corresponding A
2=18.1dB;
When
be defined as macropore angle steel, corresponding A
3=16.4dB;
When
be defined as rotten hollow of angle steel, corresponding A
4=13.6dB.
Step 100, is made as respectively initiating terminal and end by the two ends of angle steel, with fixing belt, 6 shockwave sensors and pulse hammer is fixed on the inside and outside surface of initiating terminal of angle steel;
Step 200, pulse hammer is knocked angle steel, the inner stress wave that produces of angle steel, the stress wave signal of 6 shockwave sensor detections is input in computing machine, and computing machine calculates the mean value of 6 stress wave signals, obtains stress wave average signal;
Step 300, in stress wave average signal, extracts 1 complete stress wave pulse signal as shown in Figure 3, and the described stress wave pulse signal I (t) in 0 to 120ms is inputted in stochastic resonance system model, and stochastic resonance system model is resonated;
Computing machine utilizes snr computation formula
calculate output signal-to-noise ratio SNR; Wherein, ω is signal frequency, and Ω is angular frequency, and S (ω) is signal spectral density, S
n(Ω) be the noise intensity in signal frequency range;
Step 400, computing machine draws the output signal-to-noise ratio curve of stochastic resonance system model, obtains the signal to noise ratio (S/N ratio) valley of signal to noise ratio (S/N ratio) curve, and using the absolute value of signal to noise ratio (S/N ratio) valley as signal to noise ratio (S/N ratio) eigenwert F;
In the present embodiment, computing machine draws output signal-to-noise ratio curve as shown in Figure 4, and signal to noise ratio (S/N ratio) valley is-17.1dB that F is 17.1dB;
Step 500, when
to make the hole in angle steel be A to computing machine
icorresponding
the judgement of span;
In the present embodiment,
so the angle steel in the present embodiment is aperture angle steel.
Step 600, when
and measuring position is during apart from 1.5 centimetres of the end > of angle steel, pulse hammer and each shockwave sensor are taken off from the inside and outside surface of angle steel, pulse hammer and each shockwave sensor are moved to angle steel end gradually, and pulse hammer and each shockwave sensor are fixed on the inside and outside surface of angle steel apart from 0.5 centimetre of measuring position last time successively, repeating step 200 to 500 is measured;
When
and measuring position is during apart from end≤1.5 of angle steel centimetre, and pulse hammer stops knocking, and computing machine is made the imporous judgement of angle steel, and will judge that information shows on computer screen;
When
proceed to step 700;
Step 700, the wall thickness of measurement hole:
Step 701, takes off pulse hammer and 6 shockwave sensors from the inside and outside surface of angle steel;
Two probes of SAW (Surface Acoustic Wave) resonator are fixed on the inside and outside surface of initiating terminal of the angle steel that is enclosed with polyimide insulative film, the spacing between two probes is 3 millimeters; The end of angle steel be provided with as shown in Figure 6 for reflecting the baffle plate 11 of the measuring-signal of distance measuring sensor;
Step 702, SAW (Surface Acoustic Wave) resonator work, counter detects surface acoustic wave response frequency Freq
sAW, surface acoustic wave response frequency Freq
sAWbe input in computing machine, computing machine utilizes hole wall thickness forecast model
calculate hole in angle steel with respect to the wall thickness of probe side;
Hole wall thickness forecast model is to detect through the different aperture to angle steel, thereby obtains 200 wall thickness and the Freq corresponding with this wall thickness
sAW, by 200 wall thickness and the Freq corresponding with this wall thickness
sAWform point, 200 points are carried out to linear fit, obtain matched curve, thereby reach hole wall thickness forecast model.
Step 703, moves the fixing position of two probes of SAW (Surface Acoustic Wave) resonator and the inside and outside surface of angle steel along the cross-sectional direction of angle steel, and repeating step 702 detects;
As shown in Figure 5, in the present embodiment, obtain respectively 4 wall thickness d1=0.15cm, d2=0.16cm, d3=0.17cm, d4=0.18cm.
Step 704, the distance value between the probe that distance measuring sensor is detected and angle steel end and being stored in computing machine with corresponding each wall thickness d of distance value;
Step 705, by two probes of SAW (Surface Acoustic Wave) resonator, initiating terminal to the end by angle steel moves gradually, and repeating step 701 to 704 detects;
Step 800, angle steel cross-sectional view and coordinate system as shown in Figure 5, in advance the outer peripheral face of angle steel 9 is measured, obtain the coordinate of the point on the outer peripheral face of angle steel, according to distance value and the d1 between the coordinate of the point of the outer peripheral face of angle steel, probe and angle steel end, d2, d3, d4, computing machine is set up the three-dimensional model of angle steel and angle steel mesoporosity 10.
In the present embodiment, according to the value of d1, d2, d3 and d4, the coordinate that computing machine calculates four points that obtain hole is: d1 (x1, y1), d2 (x2, y2), d3 (x3, y3), d4 (x4, y4), computing machine couples together d1, d2, d3 and d4 with smooth curve, form the pore cross-section figure of the angle steel xsect of current detection, and the disalignment of making respectively probe to the pore cross-section figure of measuring position and in conjunction with hole sectional view the distance apart from angle steel end, thereby in computing machine, make the three-dimensional model of angle steel and angle steel mesoporosity.
Should be understood that the present embodiment is only not used in and limits the scope of the invention for the present invention is described.In addition should be understood that those skilled in the art can make various changes or modifications the present invention after having read the content of the present invention's instruction, these equivalent form of values fall within the application's appended claims limited range equally.
Claims (8)
1. an angle steel internal void detection method, a kind of angle steel pick-up unit detecting for angle steel hole comprises acoustic surface wave device (1), distance measuring sensor (2) and several shockwave sensors (3); On shockwave sensor, distance measuring sensor and acoustic surface wave device, be respectively equipped with the data-interface for being electrically connected to computing machine; It is characterized in that, described acoustic surface wave device comprises counter (4), oscillator (5) and SAW (Surface Acoustic Wave) resonator (6); Oscillator and SAW (Surface Acoustic Wave) resonator form oscillation circuit, counter is electrically connected to oscillation circuit, counter is provided with the data-interface for being electrically connected to computing machine (8), and SAW (Surface Acoustic Wave) resonator is provided with two probes (7), and distance measuring sensor is located on a probe; Described detection method comprises the steps:
(1-1) in computing machine, set in advance stochastic resonance system model and hole wall thickness forecast model;
In computing machine, set
n span and the absolute value A of standard signal to noise ratio (S/N ratio) valley
icorresponding relation, i=1, L, n; Specification error threshold value d, sets surface acoustic wave detection threshold S; Wherein,
the diameter of hole,
the angle steel thickness of hole position;
(1-2) two ends of angle steel are made as respectively to initiating terminal and end, pulse hammer and each shockwave sensor are fixed on the inside and outside surface of initiating terminal;
(1-3) pulse hammer is knocked angle steel, the inner stress wave that produces of angle steel, and the stress wave signal that each shockwave sensor is detected is input in computing machine, and computing machine calculates the mean value of each stress wave signal, obtains stress wave average signal;
(1-4) in stress wave average signal, extract 1 complete stress wave pulse signal, the described stress wave pulse signal I (t) in 0 to 120ms is inputted in stochastic resonance system model, stochastic resonance system model is resonated; Computing machine utilizes snr computation formula to calculate output signal-to-noise ratio SNR;
(1-5) computing machine draws the output signal-to-noise ratio curve of stochastic resonance system model, obtains the signal to noise ratio (S/N ratio) valley of signal to noise ratio (S/N ratio) curve, and using the absolute value of signal to noise ratio (S/N ratio) valley as signal to noise ratio (S/N ratio) eigenwert F;
(1-6) when
to make the hole in angle steel be A to computing machine
icorresponding
the judgement of span;
(1-7) when
and measuring position is during apart from 1.5 centimetres of the end > of angle steel, pulse hammer and each shockwave sensor are taken off from the inside and outside surface of angle steel, pulse hammer and each shockwave sensor are moved to angle steel end gradually, and pulse hammer and each shockwave sensor are fixed on the inside and outside surface of angle steel apart from 0.5 to 1 centimetre of measuring position last time successively, repeating step (1-3) to (1-6) is measured;
When
and measuring position is during apart from end≤1.5 of angle steel centimetre, and pulse hammer quits work, and computing machine is made the imporous judgement of angle steel, and will judge that information shows on computer screen;
When
proceed to step (1-8);
(1-8) measure the wall thickness of hole:
Step a, takes off pulse hammer and each shockwave sensor from the inside and outside surface of angle steel;
Two probes of SAW (Surface Acoustic Wave) resonator are fixed on the inside and outside surface of initiating terminal of the angle steel that is enclosed with polyimide insulative film, the spacing between two probes is 2 to 3 millimeters; The end of angle steel is provided with the baffle plate (11) for reflecting the measuring-signal of distance measuring sensor;
Step b, SAW (Surface Acoustic Wave) resonator work, counter detects surface acoustic wave response frequency Freq
sAW, surface acoustic wave response frequency Freq
sAWbe input in computing machine, computing machine utilizes hole wall thickness forecast model to calculate hole in angle steel with respect to the wall thickness of probe side;
Step c, moves the fixing position of two probes of SAW (Surface Acoustic Wave) resonator and the inside and outside surface of angle steel along the cross-sectional direction of angle steel, and repeating step b detects, and obtains several wall thickness d;
Steps d, the distance value between the probe that distance measuring sensor is detected and angle steel end and being stored in computing machine with corresponding each wall thickness d of distance value;
Step e, repeating step a to d carries out the detection of axial scan formula to angle steel;
(1-9) in advance the inside and outside surface of angle steel is measured, set the coordinate of the inside and outside lip-deep point of angle steel, according to the coordinate of the point on the inside and outside surface of angle steel, distance value between probe and angle steel end and each wall thickness d corresponding with distance value, computing machine is set up the three-dimensional model of angle steel and angle steel mesoporosity.
2. angle steel internal void detection method according to claim 1, is characterized in that, in described step b, hole wall thickness forecast model is
3. angle steel internal void detection method according to claim 1, is characterized in that, described stochastic resonance system model is
wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and A is input signal strength, and D is noise intensity, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving.
4. angle steel internal void detection method according to claim 1, is characterized in that, described snr computation formula is
wherein, ω is signal frequency, and Ω is angular frequency, and S (ω) is signal spectral density, S
n(Ω) be the noise intensity in signal frequency range.
5. angle steel internal void detection method according to claim 1, is characterized in that, described surface acoustic wave detection threshold S is 1.4% to 3.5%.
6. angle steel internal void detection method according to claim 1, is characterized in that, described error threshold d is 0.2 to 0.8.
7. according to the angle steel internal void detection method described in claim 1 or 2 or 3 or 4 or 5 or 6, it is characterized in that, the centre frequency of SAW (Surface Acoustic Wave) resonator is 433.92MHZ.
8. according to the angle steel internal void detection method described in claim 1 or 2 or 3 or 4 or 5 or 6, it is characterized in that, shockwave sensor is 4 to 12.
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| JP2013134198A (en) * | 2011-12-27 | 2013-07-08 | Jfe Steel Corp | End shape detection method, end shape inspection method, end shape detection device, and end shape inspection device for angle steel |
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2013
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| JP2001153618A (en) * | 1999-11-30 | 2001-06-08 | Aichi Steel Works Ltd | Side dimension measuring method for angle steel and angle steel manufacturing method |
| CN102393181A (en) * | 2011-09-22 | 2012-03-28 | 南京信息工程大学 | Automatic online detection method and device of angle steel geometric parameters |
| JP2013134198A (en) * | 2011-12-27 | 2013-07-08 | Jfe Steel Corp | End shape detection method, end shape inspection method, end shape detection device, and end shape inspection device for angle steel |
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