NL2032786B1 - Cold-rolled pipe surface carburization depth detection device and detection method thereof - Google Patents
Cold-rolled pipe surface carburization depth detection device and detection method thereof Download PDFInfo
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- 230000005284 excitation Effects 0.000 claims description 13
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- 238000004140 cleaning Methods 0.000 claims description 9
- 238000005255 carburizing Methods 0.000 claims description 8
- 238000011282 treatment Methods 0.000 claims description 8
- 238000005498 polishing Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000012459 cleaning agent Substances 0.000 claims 1
- 238000005070 sampling Methods 0.000 claims 1
- 230000015556 catabolic process Effects 0.000 abstract description 32
- 238000012360 testing method Methods 0.000 abstract description 4
- 238000009659 non-destructive testing Methods 0.000 abstract description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 239000003599 detergent Substances 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- 229910000851 Alloy steel Inorganic materials 0.000 description 1
- 229910001209 Low-carbon steel Inorganic materials 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 229910001566 austenite Inorganic materials 0.000 description 1
- 125000004432 carbon atom Chemical group C* 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
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- 238000007637 random forest analysis Methods 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000004381 surface treatment Methods 0.000 description 1
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- 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
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- G—PHYSICS
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- 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
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- 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
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- 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
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N33/202—Constituents thereof
- G01N33/2022—Non-metallic constituents
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- G—PHYSICS
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- 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
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- 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
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Abstract
The present invention relates to a cold-rolled pipe surface carburization depth detection device and detection method. A laser-induced breakdown spectrum device is used to 5 analyze the surface and cut section of the cold-rolled pipe, and the carburization depth is obtained by the spectral analysis of the cut section. Then the CE and the CT curves are obtained by spectral analysis of the outer surface. The characteristics of the CE curve and the CT curve are used as input to construct the neural network model, and the carburization depth of the surface of the unknown cold-rolled pipe is obtained. It 10 avoids the need to grind or cut the cut section when testing real industrial products, and only a small point of the surface needs to be analyzed by laser-induced breakdown spectrum to obtain the carburization depth, which is similar to non-destructive testing and faster.
Description
COLD-ROLLED PIPE SURFACE CARBURIZATION DEPTH DETECTION
DEVICE AND DETECTION METHOD THEREOF
[01] The present invention relates to the field of spectroscopic measurements of heat treatment of cold rolled tubes, and more particularly to a cold-rolled pipe surface carburization depth detection device and detection method.
[02] Carburization: it is a kind of metal surface treatment, mostly low carbon steel or low alloy steel using carburization. The specific method is to put the workpiece into an active carburizing medium, heat to a single-phase austenite region of 900-950°C, and keep the temperature for a sufficient time, so that the activated carbon atoms decomposed in the carburizing medium penetrate into the surface layer of the steel piece, thereby obtaining a surface layer of high carbon, and the core still maintains the original composition.
[03] In the prior art, the methods for measuring the depth of carburization generally include metallography, direct-reading spectroscopy, stripping chemistry analysis, etc.
According to these solutions, it is generally required that the sample be stripped layer by layer to achieve the measurement of the carburization depth. However, in actual product testing, it is not possible to perform a peel test on all samples, both wasting time and destroying sample surface structure.
[04] Laser-induced breakdown spectrum is a new spectral analysis technology, which uses a high-energy laser to detect the laser breakdown of a point on the surface of the sample, with minimal damage to the material, fast detection speed, green and pollution-free characteristics.
[05] With regard to the above-mentioned contents, in order to solve the above-mentioned problems, a cold-rolled pipe surface carburization depth detection device is provided, which comprises a control device, a precision sample platform, a displacement controller, a laser emitter, a laser power controller, an optical fiber coupler and an optical spectrum analyzer;
[06] wherein the precision sample platform 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 to the precision sample platform and is used for controlling the movement of the precision sample platform; the displacement controller is connected to the control device, and the control device sends a displacement instruction and a displacement parameter to the displacement controller;
[07] the laser emitter is used for exciting a laser-induced breakdown spectrum on the surface of the cold-rolled pipe to be measured, and the laser power controller is used for controlling the laser power of the laser emitter; the control device is connected to the laser power controller for sending a control parameter of the laser power to the laser power controller;
[08] the optical fiber coupler is used for collecting the plasma plume generated on the surface of the cold-rolled pipe to be measured and coupling same to an optical fiber for transmission to the optical spectrum analyzer; the optical spectrum analyzer is connected to a control device for sending a spectrum analysis result to the control device;
[09] the control device collects the analysis results of the optical spectrum analyzer, and calculates the carbon content at the detection point according to the analysis of the laser-induced breakdown spectrum of the cold-rolled pipe to be detected;
[10] during the detection, the cut section of the cold-rolled pipe to be detected moves under the control of the precision sample platform, the laser emitter emits laser light to excite laser-induced breakdown spectrum at different positions on the cut section of the cold-rolled pipe to be detected, and the optical fiber coupler collects the plasma plume and sends same to the optical spectrum analyzer to obtain the laser-induced breakdown spectrum; the control device calculates the carbon content at different detection points, and then obtains the surface carburization depth of the cold-rolled pipe.
[11] The emission wavelength of the laser emitter is 1064 nm, the single pulse energy is 100 mJ to 1.5 J, and the laser focused spot is 20-100 un;
[12] the displacement accuracy of the precision sample platform is 0.5-1 um, and the minimum step length is 5-10 um; the atomic emission line at 505.2 nm of carbon selected as the analytical line.
[13] The device further comprises a sealed housing, wherein the precision sample platform and the optical fiber coupler are arranged inside the sealed housing, and the sealed housing can be filled with various atmospheres, so as to ensure that the cold-rolled pipe to be tested is subjected to analysis of a laser-induced breakdown spectrum under a determined atmosphere.
[14] A cold-rolled pipe surface carburization depth detection method using a cold-rolled pipe surface carburization depth detection device, comprising the steps of:
[15] step 1: preparing a plurality of cold-rolled pipe samples, respectively performing carburization treatment with different parameters to obtain cold-rolled pipe samples with different carburization depths;
[16] step 2: treatment of the surface of the cold-rolled pipe: cleaning the carburized cold-rolled pipe with a detergent to remove oil stains on the surface; cutting after cleaning, cooling the cutting tool with water when cutting, and then directly polishing the cut section and outer surface with velvet;
[17] step 3: fixing a sample of a cold-rolled pipe on the surface of a precision sample table, using a laser emitter to emit a laser to excite a laser-induced breakdown spectrum at different positions on the cut section of the cold-rolled pipe, and collecting, by an optical fiber coupler, a plasma plume and sending same to an optical spectrum analyzer to obtain a laser-induced breakdown spectrum; controlling, by the precision sample platform, the detection position of the sample of the cold-rolled pipe to move along the radial direction of the cold-rolled pipe, and calculating, by the control device,
the carbon content of different detection points and plotting the carbon content of detection points at different depths from the surface, thereby obtaining the surface carburization depth of the cold-rolled pipe, then obtaining the surface carburization depth of the cold rolled pipe; the method for obtaining the specific carburization depth herein can be directly obtained according to the plotted curve of carbon content with depth, which is not described in detail;
[18] step 4: changing the direction of the sample of the cold-rolled pipe of step 3, so that the laser emitter is aligned with the outer surface of the cold-rolled pipe, then emitting, by the laser emitter, laser light to excite the laser-induced breakdown spectrum at the same position on the outer surface of the cold-rolled pipe to be detected, and collecting, by the optical fiber coupler, the plasma plume and sending same to the optical spectrum analyzer to obtain the laser-induced breakdown spectrum; continuously increasing the single pulse energy of the laser emitted by the laser emitter during the detection process, calculating, the control device, the excitation energy to obtain the carbon content of the laser-induced breakdown spectrum, and plotting a curve of the carbon content varying with the excitation energy, i.e, a CE curve;
[19] step 5: replacing a detection point on the outer surface of the cold-rolled pipe treated in step 4, then emitting, by a laser emitter, laser light to excite a laser-induced breakdown spectrum at a detection position on the outer surface of the cold-rolled pipe, and collecting, by an optical fiber coupler, a plasma plume and sending same to an optical spectrum analyzer to obtain the laser-induced breakdown spectrum; fixing the single pulse energy of the laser emitted by the laser emitter in the detection process, and calculating, by the control device, the excitation energy to obtain the carbon content of the laser-induced breakdown spectrum, and plotting a curve of the carbon content varying with the number of excitation pulses, i.e., a CT curve;
[20] step 6: replacing one cold-rolled pipe sample, and repeating steps 3, 4 and 5 until all the cold-rolled pipe samples have been tested; obtaining the carburization depth corresponding to each the CE curve and the CT curve;
[21] then taking the curve characteristics extracted from the CE curve and the CT curve as an input and the carburization depth as an output to construct a neural network model so as to obtain a carburization depth judgement model, i.e., inputting the curve characteristics of the CE curve and the CT curve to obtain a carburization depth;
[22] step 7: performing carburization treatment on a sample of the cold-rolled pipe 5 to be measured, then cleaning and polishing, and then performing steps 4 and 5 to obtain a CE curve and a CT curve, and inputting curve characteristics of the CE curve and the CT curve into a carburization depth judgement model to obtain a carburization depth.
[23] the characteristics of the CE curve and the CT curve extracted from the construction of neural network model are: range difference of the CE curve, range difference of the CT curve, variance of the CE curve, variance of the CT curve, mean value of the CE curve, mean value of the CT curve, discrete coefficient of the CT curve, and discrete coefficient of the CE curve.
[24] Advantageous effects of the present invention are:
[25] provided is a laser-induced breakdown spectrum method used to analyze the surface and cut section of the cold-rolled pipe, and the carburization depth is obtained by the spectral analysis of the cut section. Then the CE and the CT curves are obtained by spectral analysis of the outer surface. The characteristics of the CE curve and the
CT curve are used as input to construct the neural network model, and the carburization depth of the surface of the unknown cold-rolled pipe is obtained. It avoids the need to grind or cut the cut section when testing real industrial products, and only a small point of the surface needs to be analyzed by laser-induced breakdown spectrum to obtain the carburization depth, which is similar to non-destructive testing and faster.
[26] 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 description. The drawings also set forth implementations of the disclosed subject matter and, together with the detailed description, serve to explain the principles of implementation of the disclosed subject matter. No attempt is made to show structural details more than is necessary for a fundamental understanding of the disclosed subject matter and the various ways in which it may be practiced.
[27] Fig 1 is a schematic view of the architecture of the device of the present invention;
[28] Fig. 2 is a schematic representation of step 3 of the process of the present invention;
[29] Fig 3 is a schematic representation of steps 4-5 of the process of the present invention.
[30] The advantages, characteristics, and means of accomplishing the objectives of the present invention will be apparent from the accompanying drawings and the detailed description that follows.
[31] Example I:
[32] A cold-rolled pipe surface carburization depth detection device comprising a control device, a precision sample platform, a displacement controller, a laser emitter 1, a laser power controller, an optical fiber coupler 2 and an optical spectrum analyzer 3;
[33] the precision sample platform is used for placing the cold-rolled pipe 4 to be detected, and the hole controls the movement of the cold-rolled pipe 4 to be detected; the displacement controller is connected to the precision sample platform and is used for controlling the movement of the precision sample platform; the displacement controller is connected to the control device, and the control device sends a displacement instruction and a displacement parameter to the displacement controller;
[34] the laser emitter 1 is used for exciting a laser-induced breakdown spectrum on the surface of the cold-rolled pipe 4 to be measured, and the laser power controller is used for controlling the laser power of the laser emitter 1; the control device is connected to the laser power controller for sending a control parameter of the laser power to the laser power controller;
[35] the optical fiber coupler 2 is used for collecting the plasma plume generated on the surface of the cold-rolled pipe 4 to be measured and coupling same to an optical fiber for transmission to the optical spectrum analyzer 3; the optical spectrum analyzer 3 is connected to a control device for sending a spectrum analysis result to the control device;
[36] the control device collects the analysis results of the optical spectrum analyzer 3, and calculates the carbon content at the detection point according to the analysis of the laser-induced breakdown spectrum of the cold-rolled pipe 4 to be detected,
[37] during the detection, the cut section of the cold-rolled pipe 4 to be detected moves under the control of the precision sample platform, the laser emitter 1 emits laser light to excite laser-induced breakdown spectrum at different positions on the cut section of the cold-rolled pipe 4 to be detected, and the optical fiber coupler 2 collects the plasma plume and sends same to the optical spectrum analyzer 3 to obtain the laser-induced breakdown spectrum; the control device calculates the carbon content at different detection points, and then obtains the surface carburization depth of the cold-rolled pipe 4.
[38] The emission wavelength of the laser emitter 1 is 1064 nm, the single pulse energy is 100 mJ to 1.5 J, and the laser focused spot is 20-100 um;
[39] the displacement accuracy of the precision sample platform is 0.5-1 um, and the minimum step length is 5-10 um; the atomic emission line at 505.2 nm of carbon selected as the analytical line.
[40] The device further comprises a sealed housing, wherein the precision sample platform and the optical fiber coupler 2 are arranged inside the sealed housing, and the sealed housing can be filled with various atmospheres, so as to ensure that the cold-rolled pipe 4 to be tested is subjected to analysis of a laser-induced breakdown spectrum under a determined atmosphere.
[41] Example 2:
[42] A cold-rolled pipe surface carburization depth detection method using a cold-rolled pipe surface carburization depth detection device, which comprises the steps of:
[43] step 1: preparing a plurality of cold-rolled pipe 4 samples, respectively performing carburization treatment with different parameters to obtain cold-rolled pipe 4 samples with different carburization depths;
[44] step 2: treatment of the surface of the cold-rolled pipe 4: cleaning the carburized cold-rolled pipe 4 with a detergent to remove oil stains on the surface; cutting after cleaning, cooling the cutting tool with water when cutting, and then directly polishing the cut section and outer surface with velvet;
[45] step 3: fixing a sample of a cold-rolled pipe 4 on the surface of a precision sample table, using a laser emitter 1 to emit a laser to excite a laser-induced breakdown spectrum at different positions on the cut section of the cold-rolled pipe 4, and collecting, by an optical fiber coupler 2, a plasma plume and sending same to an optical spectrum analyzer 3 to obtain a laser-induced breakdown spectrum; controlling, by the precision sample platform, the detection position of the sample of the cold-rolled pipe 4 to move along the radial direction of the cold-rolled pipe 4, and calculating, by the control device, the carbon content of different detection points and plotting the carbon content of detection points at different depths from the surface, thereby obtaining the surface carburization depth of the cold-rolled pipe 4;
[46] step 4: changing the direction of the sample of the cold-rolled pipe 4 of step 3, so that the laser emitter 1 is aligned with the outer surface of the cold-rolled pipe 4, then emitting, by the laser emitter 1, laser light to excite the laser-induced breakdown spectrum at the same position on the outer surface of the cold-rolled pipe 4 to be detected, and collecting, by the optical fiber coupler 2, the plasma plume and sending same to the optical spectrum analyzer 3 to obtain the laser-induced breakdown spectrum; continuously increasing the single pulse energy of the laser emitted by the laser emitter 1 during the detection process, calculating, the control device, the excitation energy to obtain the carbon content of the laser-induced breakdown spectrum, and plotting a curve of the carbon content varying with the excitation energy,
1e, a CE curve;
[47] step 5: replacing a detection point on the outer surface of the cold-rolled pipe 4 treated in step 4, then emitting, by a laser emitter 1, laser light to excite a laser-induced breakdown spectrum at a detection position on the outer surface of the cold-rolled pipe 4, and collecting, by an optical fiber coupler 2, a plasma plume and sending same to an optical spectrum analyzer 3 to obtain the laser-induced breakdown spectrum; fixing the single pulse energy of the laser emitted by the laser emitter 1 in the detection process, and calculating, by the control device, the excitation energy to obtain the carbon content of the laser-induced breakdown spectrum, and plotting a curve of the carbon content varying with the number of excitation pulses, i.e., a CT curve;
[48] step 6: replacing one cold-rolled pipe 4 sample, and repeating steps 3, 4 and 5 until all the cold-rolled pipe 4 samples have been tested; obtaining the carburization depth corresponding to each the CE curve and the CT curve;
[49] then taking the curve characteristics extracted from the CE curve and the CT curve as an input and the carburization depth as an output to construct a neural network model so as to obtain a carburization depth judgement model, 1.e., inputting the curve characteristics of the CE curve and the CT curve to obtain a carburization depth;
[50] step 7: performing carburization treatment on a sample of the cold-rolled pipe 4 to be measured, then cleaning and polishing, and then performing steps 4 and 5 to obtain a CE curve and a CT curve, and inputting curve characteristics of the CE curve and the CT curve into a carburization depth judgement model to obtain a carburization depth.
[51] the characteristics of the CE curve and the CT curve extracted from the construction of neural network model are: range difference of the CE curve, range difference of the CT curve, variance of the CE curve, variance of the CT curve, mean value of the CE curve, mean value of the CT curve, discrete coefficient of the CT curve, and discrete coefficient of the CE curve.
[52] Specifically, after extracting the range difference of the CE curve, the range difference of the CT curve, the variance of the CE curve, the variance of the CT curve,
the mean value of the CE curve, the mean value of the CT curve, the discrete coefficient of the CT curve and the discrete coefficient of the CE curve, the neural network model is constructed as an input of an observation and the corresponding carburization depth as an output. Of course, the selection of the neural network model is merely an example method, and other decision trees and random forest methods can also be used for classification discrimination.
[53] Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, a person skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.
Accordingly, the protection sought herein is as set forth in the claims below.
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US9909923B2 (en) * | 2014-09-05 | 2018-03-06 | Bwt Property, Inc. | Laser induced breakdown spectroscopy (LIBS) apparatus based on high repetition rate pulsed laser |
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