CN113624747A - Device and method for detecting surface carburization depth of cold-rolled tube - Google Patents
Device and method for detecting surface carburization depth of cold-rolled tube Download PDFInfo
- Publication number
- CN113624747A CN113624747A CN202111048453.8A CN202111048453A CN113624747A CN 113624747 A CN113624747 A CN 113624747A CN 202111048453 A CN202111048453 A CN 202111048453A CN 113624747 A CN113624747 A CN 113624747A
- Authority
- CN
- China
- Prior art keywords
- cold
- laser
- curve
- rolled tube
- induced breakdown
- 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
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000003062 neural network model Methods 0.000 claims abstract description 10
- 238000010183 spectrum analysis Methods 0.000 claims abstract description 8
- 238000001228 spectrum Methods 0.000 claims description 61
- 230000015556 catabolic process Effects 0.000 claims description 37
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 29
- 229910052799 carbon Inorganic materials 0.000 claims description 29
- 239000013307 optical fiber Substances 0.000 claims description 25
- 238000006073 displacement reaction Methods 0.000 claims description 21
- 238000005255 carburizing Methods 0.000 claims description 18
- 230000005284 excitation Effects 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 9
- 238000007789 sealing Methods 0.000 claims description 9
- 239000006185 dispersion Substances 0.000 claims description 8
- 238000005498 polishing Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 239000003599 detergent Substances 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000004381 surface treatment Methods 0.000 claims description 2
- 238000002536 laser-induced breakdown spectroscopy Methods 0.000 abstract description 8
- 230000003595 spectral effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 229910001566 austenite Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 125000004432 carbon atom Chemical group C* 0.000 description 1
- 238000009614 chemical analysis method Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000007637 random forest analysis Methods 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
- G01N21/718—Laser microanalysis, i.e. with formation of sample plasma
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0205—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows
- G01J3/0218—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows using optical fibers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/443—Emission spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/20—Metals
- G01N33/202—Constituents thereof
- G01N33/2022—Non-metallic constituents
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N2021/178—Methods for obtaining spatial resolution of the property being measured
- G01N2021/1782—In-depth resolution
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/952—Inspecting the exterior surface of cylindrical bodies or wires
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Engineering & Computer Science (AREA)
- Optics & Photonics (AREA)
- Plasma & Fusion (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention relates to a device and a method for detecting the surface carburization depth of a cold-rolled tube. The laser-induced breakdown spectroscopy analysis of the section and the outer surface of the cold-rolled tube is realized by using a laser-induced breakdown spectroscopy device, and the carburization depth is obtained by using the spectral analysis of the section; then, obtaining a CE curve and a CT curve by utilizing the spectral analysis of the outer surface; establishing a neural network model by taking the characteristics of the CE curve and the CT curve as input, thereby obtaining the carburization depth of the surface of the unknown cold-rolled pipe; the step of grinding or cutting the section is avoided when the real industrial product is detected, the carburization depth can be obtained only by carrying out laser-induced breakdown spectroscopy analysis on a small point on the surface, the method is similar to nondestructive detection, and the speed is higher.
Description
Technical Field
The invention relates to the field of spectrum detection of cold rolled tube heat treatment, in particular to a device and a method for detecting the surface carburization depth of a cold rolled tube.
Background
Carburizing: the method is characterized in that a workpiece is placed into an active carburizing medium, heated to a single-phase austenite region of 900-950 ℃, and after heat preservation is carried out for enough time, activated carbon atoms decomposed from the carburizing medium are infiltrated into the surface layer of the steel workpiece, so that high carbon on the surface layer is obtained, and the core part still maintains the original components.
In the prior art, carburization depth detection generally comprises a metallographic method, a direct-reading spectroscopy method, a stripping chemical analysis method and the like, and the carburization depth detection can be realized only by stripping a sample layer by layer in the schemes. However, in actual product inspection, it is impossible to perform the peeling test on all samples, which wastes time and damages the surface structure of the samples.
The laser-induced breakdown spectroscopy is a novel spectral analysis technology, and the laser breakdown detection is carried out on one point on the surface of a sample by using high-energy laser, so that the damage to materials is extremely small, the detection speed is high, and the method is green and pollution-free.
Disclosure of Invention
Aiming at the content, in order to solve the problem, the device for detecting the carburization depth of the surface of the cold-rolled tube comprises a control device, a precise sample stage, a displacement controller, a laser transmitter, a laser power controller, an optical fiber coupler and a spectrum analyzer;
the precision sample stage is used for placing the cold-rolled pipe to be detected, and the hole controls the movement of the cold-rolled pipe to be detected; the displacement controller is connected with the precision sample stage and is used for controlling the precision sample stage to move; the displacement controller is connected with the control device, and the control device sends a displacement instruction and a displacement parameter to the displacement controller;
the laser power controller is used for controlling the laser power of the laser transmitter; the control device is connected with the laser power controller and is used for sending control parameters of the laser power to the laser power controller;
the optical fiber coupler is used for collecting plasma plumes generated on the surface of the cold-rolled pipe to be detected and coupling the plasma plumes to the optical fiber to be transmitted to the spectrum analyzer; the spectrum analyzer is connected with the control device and is used for transmitting the spectrum analysis result to the control device;
the control device collects the analysis result of the spectrum analyzer, and calculates the carbon content of the detection point according to the analysis of the laser-induced breakdown spectrum of the cold-rolled tube to be detected;
during detection, the section of the cold-rolled pipe to be detected moves under the control of a precision sample stage, a laser emitter emits laser to excite laser-induced breakdown spectrums at different positions on the section of the cold-rolled pipe to be detected, and an optical fiber coupler collects plasma plumes and sends the plasma plumes to a spectrum analyzer to obtain the laser-induced breakdown spectrums; and the control device calculates the carbon content of different detection points so as to obtain the surface carburization depth of the cold-rolled tube.
The emission wavelength of the laser emitter is 1064nm, the single-pulse energy is 100mJ to 1.5J, and the laser focusing spot is 20-100 mu m;
the displacement precision of the precision sample stage is 0.5-1 μm, and the minimum step length is 5-10 μm; selecting an atomic emission spectral line of 505.2nm of carbon element as an analysis spectral line;
the device comprises a cold-rolled pipe to be detected and an optical fiber coupler, and is characterized by further comprising a sealing outer cover, wherein the precise sample stage and the optical fiber coupler are arranged inside the sealing outer cover, and various atmospheres can be filled in the sealing outer cover, so that the cold-rolled pipe to be detected can be analyzed in a laser-induced breakdown spectrum under a determined atmosphere.
A method for detecting the surface carburization depth of a cold-rolled tube by using a cold-rolled tube surface carburization depth detection device comprises the following steps:
step 1: preparing a plurality of cold-rolled tube samples, and respectively carrying out carburizing treatment on the cold-rolled tube samples with different parameters to obtain cold-rolled tube samples with different carburizing depths;
step 2: treating the surface of the cold rolled tube: cleaning the carburized cold-rolled tube with a detergent to remove oil stains on the surface; cleaning, cutting off, cooling the cutting knife by water during cutting off, and directly polishing the section and the outer surface by velvet;
and step 3: placing a cold-rolled tube sample on the surface of a precision sample stage for fixing, exciting laser-induced breakdown spectrums at different positions on the section of the cold-rolled tube to be detected by using laser emitted by a laser emitter, collecting plasma plumes by using an optical fiber coupler, and sending the plasma plumes to a spectrum analyzer to obtain the laser-induced breakdown spectrums; the precise sample stage controls the detection position of the cold-rolled tube sample to move along the radial direction of the cold-rolled tube, the control device calculates the carbon content of different detection points, and the carbon content of the detection points with different depths from the surface is drawn, so that the surface carburization depth of the cold-rolled tube is obtained; the specific carburization depth obtaining method can be directly obtained according to a drawn change curve of the carbon content along with the depth, and is not described in detail;
and 4, step 4: changing the direction of the cold-rolled tube sample obtained in the step (3) to enable a laser emitter to be aligned to the outer surface of the cold-rolled tube, then enabling the laser emitter to emit laser to excite the laser-induced breakdown spectrum at the same position on the outer surface of the cold-rolled tube, and enabling an optical fiber coupler to collect plasma plumes and send the plasma plumes to a spectrum analyzer to obtain the laser-induced breakdown spectrum; continuously improving the single pulse energy of laser emitted by a laser emitter in the detection process, calculating the excitation energy by a control device to obtain the carbon content of the laser-induced breakdown spectrum, and drawing a curve of the carbon content changing along with the excitation energy, namely a CE curve;
and 5: replacing a detection point on the outer surface of the cold-rolled tube processed in the step 4, then sending laser by a laser transmitter to excite a laser-induced breakdown spectrum at a detection position on the outer surface of the cold-rolled tube, and collecting plasma plumes by an optical fiber coupler and sending the plasma plumes to a spectrum analyzer to obtain the laser-induced breakdown spectrum; fixing the single pulse energy of laser emitted by a laser emitter in the detection process, calculating excitation energy by a control device to obtain the carbon content of a laser-induced breakdown spectrum, and drawing a curve of the carbon content changing along with the times of the laser pulse, namely a CT curve;
step 6: replacing a cold-rolled tube sample, and repeatedly executing the step 3, the step 4 and the step 5 until all the cold-rolled tube samples are tested; further obtaining a plurality of groups of CE curves and CT curves and the carburization depth corresponding to each CE curve and each CT curve;
then, taking the curve characteristics extracted from the CE curve and the CT curve as input, and taking the carburization depth as output to construct a neural network model to obtain a carburization depth judgment model, namely obtaining a carburization depth after inputting the curve characteristics of the CE curve and the CT curve;
and 7: and (3) carburizing a cold-rolled tube sample to be measured, cleaning and polishing the cold-rolled tube sample, executing the step (4) and the step (5) to obtain a CE curve and a CT curve, and inputting curve characteristics of the CE curve and the CT curve into a carburizing depth judging model to obtain the carburizing depth.
The characteristics of the CE curve and the CT curve extracted by the construction of the neural network model are as follows: the range of the CE curve, the range of the CT curve, the variance of the CE curve, the variance of the CT curve, the mean of the CE curve, the mean of the CT curve, the dispersion coefficient of the CT curve, and the dispersion coefficient of the CE curve.
The invention has the beneficial effects that:
the invention uses a laser-induced breakdown spectroscopy method, realizes the analysis of the laser-induced breakdown spectroscopy of the section and the outer surface of the cold-rolled tube, and obtains the carburization depth by the spectral analysis of the section; then, obtaining a CE curve and a CT curve by utilizing the spectral analysis of the outer surface; establishing a neural network model by taking the characteristics of the CE curve and the CT curve as input, thereby obtaining the carburization depth of the surface of the unknown cold-rolled pipe; the step of grinding or cutting the section is avoided when the real industrial product is detected, the carburization depth can be obtained only by carrying out laser-induced breakdown spectroscopy analysis on a small point on the surface, the method is similar to nondestructive detection, and the speed is higher.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosed subject matter, are incorporated in and constitute a part of this specification. The drawings illustrate the implementations of the disclosed subject matter and, together with the detailed description, serve to explain the principles of implementations of the disclosed subject matter. No attempt is made to show structural details of the disclosed subject matter in more detail than is necessary for a fundamental understanding of the disclosed subject matter and various modes of practicing the same.
FIG. 1 is a schematic diagram of the apparatus of the present invention;
FIG. 2 is a schematic representation of step 3 of the method of the present invention;
FIG. 3 is a schematic diagram of steps 4-5 of the method of the present invention.
Detailed Description
The advantages, features and methods of accomplishing the same will become apparent from the drawings and the detailed description that follows.
Example 1:
a cold rolled tube surface carburization depth detection device comprises a control device, a precise sample stage, a displacement controller, a laser transmitter 1, a laser power controller, an optical fiber coupler 2 and a spectrum analyzer 3;
the precision sample stage is used for placing the cold-rolled tube 4 to be detected, and the hole controls the movement of the cold-rolled tube 4 to be detected; the displacement controller is connected with the precision sample stage and is used for controlling the precision sample stage to move; the displacement controller is connected with the control device, and the control device sends a displacement instruction and a displacement parameter to the displacement controller;
the laser emitter 1 is used for exciting the laser-induced breakdown spectrum on the surface of the cold-rolled tube 4 to be tested, and the laser power controller is used for controlling the laser power of the laser emitter 1; the control device is connected with the laser power controller and is used for sending control parameters of the laser power to the laser power controller;
the optical fiber coupler 2 is used for collecting plasma plumes generated on the surface of the cold-rolled tube 4 to be measured and coupling the plasma plumes to an optical fiber to be transmitted to the spectrum analyzer 3; the spectrum analyzer 3 is connected with the control device and is used for transmitting the spectrum analysis result to the control device;
the control device collects the analysis result of the spectrum analyzer 3, and calculates the carbon content of the detection point according to the analysis of the laser-induced breakdown spectrum of the cold-rolled tube 4 to be detected;
during detection, the section of the cold-rolled tube 4 to be detected moves under the control of a precision sample stage, a laser emitter 1 emits laser to excite laser-induced breakdown spectrums at different positions on the section of the cold-rolled tube 4 to be detected, and an optical fiber coupler 2 collects plasma plumes and sends the plasma plumes to a spectrum analyzer 3 to obtain the laser-induced breakdown spectrums; the control device calculates the carbon content of different detection points, and further obtains the surface carburization depth of the cold-rolled tube 4.
The emission wavelength of the laser emitter 1 is 1064nm, the single-pulse energy is 100mJ to 1.5J, and the laser focusing spot is 20-100 mu m;
the displacement precision of the precision sample stage is 0.5-1 μm, and the minimum step length is 5-10 μm; selecting an atomic emission spectral line of 505.2nm of carbon element as an analysis spectral line;
the device is characterized by further comprising a sealing outer cover, wherein the precision sample stage and the optical fiber coupler 2 are arranged inside the sealing outer cover, and various atmospheres can be filled into the sealing outer cover, so that the cold-rolled tube 4 to be detected can be analyzed through laser-induced breakdown spectroscopy in a determined atmosphere.
Example 2:
a method for detecting the surface carburization depth of a cold-rolled tube by using a cold-rolled tube surface carburization depth detection device comprises the following steps:
step 1: preparing a plurality of cold-rolled tube 4 samples, and respectively carrying out carburizing treatment on the cold-rolled tube 4 samples with different parameters to obtain the cold-rolled tube 4 samples with different carburizing depths;
step 2: surface treatment of the cold rolled tube 4: cleaning the cold-rolled tube 4 after carburization treatment by using a detergent to remove oil stains on the surface; cleaning, cutting off, cooling the cutting knife by water during cutting off, and directly polishing the section and the outer surface by velvet;
and step 3: a cold-rolled tube 4 sample is placed on the surface of a precision sample table to be fixed, laser emitter 1 is used for emitting laser to carry out laser-induced breakdown spectrum excitation on different positions on the section of the cold-rolled tube 4 to be detected, and optical fiber coupler 2 collects plasma plume and sends the plasma plume to optical spectrum analyzer 3 to obtain a laser-induced breakdown spectrum; the precise sample stage controls the detection position of a sample of the cold-rolled tube 4 to move along the radial direction of the cold-rolled tube 4, the control device calculates the carbon content of different detection points, and the carbon content of the detection points with different depths from the surface is drawn, so that the surface carburization depth of the cold-rolled tube 4 is obtained;
and 4, step 4: changing the direction of the sample of the cold-rolled tube 4 in the step (3) to enable the laser emitter 1 to be aligned to the outer surface of the cold-rolled tube 4, then enabling the laser emitter 1 to emit laser to excite the laser-induced breakdown spectrum at the same position on the outer surface of the cold-rolled tube 4, and enabling the optical fiber coupler 2 to collect plasma plumes and send the plasma plumes to the optical spectrum analyzer 3 to obtain the laser-induced breakdown spectrum; in the detection process, the single pulse energy of the laser emitted by the laser emitter 1 is continuously improved, the control device calculates the excitation energy to obtain the carbon content of the laser-induced breakdown spectrum, and a curve of the carbon content changing along with the excitation energy, namely a CE curve, is drawn;
and 5: replacing a detection point on the outer surface of the cold-rolled tube 4 processed in the step 4, then exciting a laser-induced breakdown spectrum at a detection position on the outer surface of the cold-rolled tube 4 by using laser emitted by a laser emitter 1, collecting plasma plumes by using an optical fiber coupler 2, and sending the plasma plumes to a spectrum analyzer 3 to obtain the laser-induced breakdown spectrum; fixing the single pulse energy of laser emitted by the laser emitter 1 in the detection process, calculating the excitation energy by the control device to obtain the carbon content of the laser induced breakdown spectrum, and drawing a curve of the carbon content changing along with the times of the laser pulse, namely a CT curve;
step 6: replacing a sample of the cold-rolled tube 4, and repeatedly executing the step 3, the step 4 and the step 5 until all samples of the cold-rolled tube 4 are tested; further obtaining a plurality of groups of CE curves and CT curves and the carburization depth corresponding to each CE curve and each CT curve;
then, taking the curve characteristics extracted from the CE curve and the CT curve as input, and taking the carburization depth as output to construct a neural network model to obtain a carburization depth judgment model, namely obtaining a carburization depth after inputting the curve characteristics of the CE curve and the CT curve;
and 7: and (3) carburizing a sample of the cold-rolled tube 4 to be measured, cleaning and polishing the sample, executing the step 4 and the step 5 to obtain a CE curve and a CT curve, and inputting curve characteristics of the CE curve and the CT curve into a carburizing depth judging model to obtain the carburizing depth.
The characteristics of the CE curve and the CT curve extracted by the construction of the neural network model are as follows: the range of the CE curve, the range of the CT curve, the variance of the CE curve, the variance of the CT curve, the mean of the CE curve, the mean of the CT curve, the dispersion coefficient of the CT curve, and the dispersion coefficient of the CE curve.
Specifically, after the range of the CE curve, the range of the CT curve, the variance of the CE curve, the variance of the CT curve, the mean of the CE curve, the mean of the CT curve, the dispersion coefficient of the CT curve and the dispersion coefficient of the CE curve are extracted, the extracted values are input as a primary observed quantity, and the corresponding carburization depth is used as an output to construct a neural network model. Of course, the selection of the neural network model is only an example, and other decision trees and random forest methods can be used for classification discrimination.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (5)
1. A cold-rolled tube surface carburization depth detection device comprises a control device, a precise sample table, a displacement controller, a laser transmitter (1), a laser power controller, an optical fiber coupler (2) and a spectrum analyzer (3); the method is characterized in that:
the precision sample stage is used for placing the cold-rolled tube (4) to be detected, and the hole controls the movement of the cold-rolled tube (4) to be detected; the displacement controller is connected with the precision sample stage and is used for controlling the precision sample stage to move; the displacement controller is connected with the control device, and the control device sends a displacement instruction and a displacement parameter to the displacement controller;
the laser power controller is used for controlling the laser power of the laser transmitter (1); the control device is connected with the laser power controller and is used for sending control parameters of the laser power to the laser power controller;
the optical fiber coupler (2) is used for collecting plasma plumes generated on the surface of the cold-rolled tube (4) to be measured and coupling the plasma plumes to an optical fiber to be transmitted to the spectrum analyzer (3); the spectrum analyzer (3) is connected with the control device and is used for transmitting the spectrum analysis result to the control device;
the control device collects the analysis result of the spectrum analyzer (3), and calculates the carbon content of the detection point according to the analysis of the laser-induced breakdown spectrum of the cold-rolled tube (4) to be detected;
during detection, the section of the cold-rolled pipe (4) to be detected moves under the control of a precision sample stage, a laser emitter (1) emits laser to excite laser-induced breakdown spectrums at different positions on the section of the cold-rolled pipe (4) to be detected, and an optical fiber coupler (2) collects plasma plumes and sends the plasma plumes to a spectrum analyzer (3) to obtain the laser-induced breakdown spectrums; the control device calculates the carbon content of different detection points, and then the surface carburization depth of the cold-rolled tube (4) is obtained.
2. The device for detecting the carburization depth of the surface of the cold-rolled tube according to claim 1, characterized in that:
the emission wavelength of the laser emitter (1) is 1064nm, the single-pulse energy is 100mJ to 1.5J, and the laser focusing spot is 20-100 mu m;
the displacement precision of the precision sample stage is 0.5-1 μm, and the minimum step length is 5-10 μm; an atomic emission line of 505.2nm of carbon element is selected as an analysis line.
3. The device for detecting the carburization depth of the surface of the cold-rolled tube according to claim 1, characterized in that:
the device is characterized by further comprising a sealing outer cover, wherein the precision sample stage and the optical fiber coupler (2) are arranged inside the sealing outer cover, and various atmospheres can be filled into the sealing outer cover, so that the cold-rolled tube (4) to be detected can be analyzed in a laser-induced breakdown spectrum under a determined atmosphere.
4. A method for detecting the carburization depth of the surface of a cold-rolled tube by using the device for detecting the carburization depth of the surface of a cold-rolled tube according to any one of claims 1 to 3, characterized by comprising the steps of:
step 1: preparing a plurality of cold-rolled tube (4) samples, and respectively carrying out carburizing treatment on the cold-rolled tube samples with different parameters to obtain the cold-rolled tube (4) samples with different carburizing depths;
step 2: surface treatment of the cold rolled tube (4): cleaning the cold-rolled tube (4) after carburization treatment by using a detergent to remove oil stains on the surface; cleaning, cutting off, cooling the cutting knife by water during cutting off, and directly polishing the section and the outer surface by velvet;
and step 3: a cold-rolled tube (4) sample is placed on the surface of a precision sample table to be fixed, laser is emitted by a laser emitter (1) to excite laser-induced breakdown spectrums at different positions on the section of the cold-rolled tube (4), and a plasma plume is collected by an optical fiber coupler (2) and sent to a spectrum analyzer (3) to obtain the laser-induced breakdown spectrums; the precise sample stage controls the detection position of a sample of the cold-rolled tube (4) to move along the radial direction of the cold-rolled tube (4), the control device calculates the carbon content of different detection points, and the carbon content of the detection points with different depths from the surface is drawn, so that the surface carburization depth of the cold-rolled tube (4) is obtained;
and 4, step 4: changing the direction of the sample of the cold-rolled tube (4) in the step (3) to enable the laser emitter (1) to be aligned to the outer surface of the cold-rolled tube (4), then enabling the laser emitter (1) to emit laser to excite the laser-induced breakdown spectrum at the same position on the outer surface of the cold-rolled tube (4), and enabling the optical fiber coupler (2) to collect plasma plumes and send the plasma plumes to the optical spectrum analyzer (3) to obtain the laser-induced breakdown spectrum; continuously improving the single pulse energy of laser emitted by the laser emitter (1) in the detection process, calculating excitation energy by the control device to obtain the carbon content of the laser-induced breakdown spectrum, and drawing a curve of the carbon content changing along with the excitation energy, namely a CE curve;
and 5: replacing a detection point on the outer surface of the cold-rolled tube (4) processed in the step (4), then sending out laser from a laser transmitter (1) to excite a laser-induced breakdown spectrum to a detection position on the outer surface of the cold-rolled tube (4), collecting plasma plumes by an optical fiber coupler (2) and sending the plasma plumes to a spectrum analyzer (3) to obtain the laser-induced breakdown spectrum; fixing the single pulse energy of laser emitted by the laser emitter (1) in the detection process, calculating excitation energy by the control device to obtain the carbon content of the laser-induced breakdown spectrum, and drawing a curve of the carbon content changing along with the times of the laser pulse, namely a CT curve;
step 6: replacing a cold-rolled tube (4) sample, and repeatedly executing the step 3, the step 4 and the step 5 until all the cold-rolled tube (4) samples are tested; further obtaining a plurality of groups of CE curves and CT curves and the carburization depth corresponding to each CE curve and each CT curve;
then, taking the curve characteristics extracted from the CE curve and the CT curve as input, and taking the carburization depth as output to construct a neural network model to obtain a carburization depth judgment model, namely obtaining a carburization depth after inputting the curve characteristics of the CE curve and the CT curve;
and 7: and (3) carburizing a sample of the cold-rolled tube (4) to be measured, cleaning and polishing the sample, executing the step (4) and the step (5) to obtain a CE curve and a CT curve, and inputting curve characteristics of the CE curve and the CT curve into a carburizing depth judging model to obtain the carburizing depth.
5. The method for detecting the carburization depth of the surface of the cold-rolled tube according to claim 4, characterized in that:
the characteristics of the CE curve and the CT curve extracted by the construction of the neural network model are as follows: the range of the CE curve, the range of the CT curve, the variance of the CE curve, the variance of the CT curve, the mean of the CE curve, the mean of the CT curve, the dispersion coefficient of the CT curve, and the dispersion coefficient of the CE curve.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111048453.8A CN113624747A (en) | 2021-09-08 | 2021-09-08 | Device and method for detecting surface carburization depth of cold-rolled tube |
| NL2032786A NL2032786B1 (en) | 2021-09-08 | 2022-08-18 | Cold-rolled pipe surface carburization depth detection device and detection method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111048453.8A CN113624747A (en) | 2021-09-08 | 2021-09-08 | Device and method for detecting surface carburization depth of cold-rolled tube |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113624747A true CN113624747A (en) | 2021-11-09 |
Family
ID=78389390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111048453.8A Pending CN113624747A (en) | 2021-09-08 | 2021-09-08 | Device and method for detecting surface carburization depth of cold-rolled tube |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113624747A (en) |
| NL (1) | NL2032786B1 (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234943A (en) * | 2013-04-09 | 2013-08-07 | 杭州电子科技大学 | Method for rapidly detecting metal thermal diffusion with laser-induced breakdown spectroscopy technology |
| CN103900999A (en) * | 2014-03-25 | 2014-07-02 | 钢研纳克检测技术有限公司 | Analysis method for measuring steel part carburized layer by laser induction spectrum |
| US20160069745A1 (en) * | 2014-09-05 | 2016-03-10 | Bwt Property, Inc. | Laser Induced Breakdown Spectroscopy (LIBS) Apparatus Based on High Repetition Rate Pulsed Laser |
| JP2017173045A (en) * | 2016-03-22 | 2017-09-28 | 一般財団法人電力中央研究所 | Measurement method, measurement device and measurement program for carbon concentration in steel |
| CN107677640A (en) * | 2017-09-29 | 2018-02-09 | 吉林大学 | A kind of plastic sample elemental recognition method based on LIBS |
| CN109813702A (en) * | 2019-01-21 | 2019-05-28 | 柳州职业技术学院 | A method of based on Cr element in laser induced breakdown spectroscopy quantitative analysis tealeaves |
| CN109883960A (en) * | 2019-03-18 | 2019-06-14 | 河南科技大学 | A kind of sample is not necessarily to pretreated peony assortment method and system |
| US20190219511A1 (en) * | 2016-08-24 | 2019-07-18 | Academy Of Opto-Electronics, Chinese Academy Of Sciences | Method for Detecting Composition of Steel Sample by Using Multi-Pulse Laser-Induced Plasma Spectrometer |
| CN111426642A (en) * | 2020-03-31 | 2020-07-17 | 本钢板材股份有限公司 | Method for determining galvanized sheet coating distribution and element quality by direct current glow discharge atomic emission spectrometry |
| CN111965170A (en) * | 2020-08-27 | 2020-11-20 | 天津大学 | Method for detecting heavy metal in cream cosmetics |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161013B (en) * | 2019-05-14 | 2020-12-29 | 上海交通大学 | Laser-induced breakdown spectroscopy data processing method and system based on machine learning |
-
2021
- 2021-09-08 CN CN202111048453.8A patent/CN113624747A/en active Pending
-
2022
- 2022-08-18 NL NL2032786A patent/NL2032786B1/en active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234943A (en) * | 2013-04-09 | 2013-08-07 | 杭州电子科技大学 | Method for rapidly detecting metal thermal diffusion with laser-induced breakdown spectroscopy technology |
| CN103900999A (en) * | 2014-03-25 | 2014-07-02 | 钢研纳克检测技术有限公司 | Analysis method for measuring steel part carburized layer by laser induction spectrum |
| US20160069745A1 (en) * | 2014-09-05 | 2016-03-10 | Bwt Property, Inc. | Laser Induced Breakdown Spectroscopy (LIBS) Apparatus Based on High Repetition Rate Pulsed Laser |
| JP2017173045A (en) * | 2016-03-22 | 2017-09-28 | 一般財団法人電力中央研究所 | Measurement method, measurement device and measurement program for carbon concentration in steel |
| US20190219511A1 (en) * | 2016-08-24 | 2019-07-18 | Academy Of Opto-Electronics, Chinese Academy Of Sciences | Method for Detecting Composition of Steel Sample by Using Multi-Pulse Laser-Induced Plasma Spectrometer |
| CN107677640A (en) * | 2017-09-29 | 2018-02-09 | 吉林大学 | A kind of plastic sample elemental recognition method based on LIBS |
| CN109813702A (en) * | 2019-01-21 | 2019-05-28 | 柳州职业技术学院 | A method of based on Cr element in laser induced breakdown spectroscopy quantitative analysis tealeaves |
| CN109883960A (en) * | 2019-03-18 | 2019-06-14 | 河南科技大学 | A kind of sample is not necessarily to pretreated peony assortment method and system |
| CN111426642A (en) * | 2020-03-31 | 2020-07-17 | 本钢板材股份有限公司 | Method for determining galvanized sheet coating distribution and element quality by direct current glow discharge atomic emission spectrometry |
| CN111965170A (en) * | 2020-08-27 | 2020-11-20 | 天津大学 | Method for detecting heavy metal in cream cosmetics |
Non-Patent Citations (1)
| Title |
|---|
| 季振国;李铁强;席俊华;毛启楠;: "激光诱导击穿光谱及其在元素分析中的应用", 材料科学与工程学报, no. 03, 30 June 2011 (2011-06-30), pages 455 - 460 * |
Also Published As
| Publication number | Publication date |
|---|---|
| NL2032786A (en) | 2023-03-14 |
| NL2032786B1 (en) | 2023-12-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ciucci et al. | Trace pollutants analysis in soil by a time-resolved laser-induced breakdown spectroscopy technique | |
| US6407811B1 (en) | Ambient methods and apparatus for rapid laser trace constituent analysis | |
| Sneddon et al. | Novel and recent applications of elemental determination by laser-induced breakdown spectrometry | |
| JP6616432B2 (en) | Method of detecting steel sample components using multi-pulse laser induced plasma spectrum analyzer | |
| CN106932382A (en) | A kind of method that laser cleaning effect judges | |
| Senesi et al. | An innovative approach to meteorite analysis by laser‐induced breakdown spectroscopy | |
| CN109884034B (en) | Method and device for detecting femtosecond plasma grating induced breakdown spectrum | |
| US20220241891A1 (en) | Artificial intelligence-based robotized smart laser ablating systems for multi-dimensional objects | |
| US8855259B2 (en) | System and method for detecting leakage of nuclear reactor coolant using laser induced emission spectrum | |
| CN108597638B (en) | Composite laser decontamination device and method for radioactive decontamination of nuclear power station component | |
| Palanco et al. | Development of a portable laser-induced plasma spectrometer with fully-automated operation and quantitative analysis capabilities | |
| KR20110077388A (en) | Method for analyzing of heavy metals | |
| JP2012032388A (en) | Method and device of measuring concentration of metallic surface adhesion component | |
| CN114184591A (en) | Method for identifying porphyry ore deposit hydrothermal center based on chlorite Raman parameter and element composition | |
| CN113624747A (en) | Device and method for detecting surface carburization depth of cold-rolled tube | |
| CN111044506A (en) | Method for detecting water content of aluminum phosphate dirt | |
| CN112255149B (en) | Method and system for detecting particle size of loose particle accumulation and storage medium | |
| Sattar et al. | Exploring the potential and recent advancement in laser Opto-ultrasonic detection for material characterization: A state-of-the-art review | |
| CN103196774B (en) | Device for measuring ablation resistance of material | |
| CN103234943A (en) | Method for rapidly detecting metal thermal diffusion with laser-induced breakdown spectroscopy technology | |
| Osorio et al. | Portable LIBS system for determining the composition of multilayer structures on objects of cultural value | |
| JP6656970B2 (en) | Steel carbon concentration measurement method, measurement device, and measurement program | |
| Shalabi et al. | Applications of laser-induced breakdown spectroscopy in corrosion detection in reinforced concrete materials: a critical review | |
| US11215561B2 (en) | Method and device for increasing the sensitivity of an in-line measurement of the surface cleanliness of steel strips | |
| JP4346464B2 (en) | Leak detection device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |