CN109061221B - Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology - Google Patents
Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology Download PDFInfo
- Publication number
- CN109061221B CN109061221B CN201811024114.4A CN201811024114A CN109061221B CN 109061221 B CN109061221 B CN 109061221B CN 201811024114 A CN201811024114 A CN 201811024114A CN 109061221 B CN109061221 B CN 109061221B
- Authority
- CN
- China
- Prior art keywords
- absorption spectrum
- laser
- laser beam
- line
- airflow
- 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.)
- Active
Links
- 238000000862 absorption spectrum Methods 0.000 title claims abstract description 34
- 238000009826 distribution Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000003325 tomography Methods 0.000 title claims abstract description 22
- 238000005516 engineering process Methods 0.000 title claims abstract description 15
- 239000011159 matrix material Substances 0.000 claims abstract description 12
- 230000035945 sensitivity Effects 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims description 23
- 238000010521 absorption reaction Methods 0.000 claims description 21
- 238000012886 linear function Methods 0.000 claims description 16
- 239000013598 vector Substances 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 8
- 230000003287 optical effect Effects 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 2
- 238000001285 laser absorption spectroscopy Methods 0.000 description 4
- 238000002835 absorbance Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
- G01P5/26—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting optical wave
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
- G01P5/001—Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention provides an airflow three-dimensional velocity distribution measuring method based on a laser absorption spectrum tomography technology, which comprises the following steps of: 1. acquiring laser absorption spectrum projection data of a plurality of different angles; 2. discretizing the detected region and calculating a sensitivity matrix of tomography; 3. establishing an equation set according to the Doppler frequency shift principle of the laser absorption spectrum and the projection data of the laser absorption spectrum at different angles; 4. and solving the nonlinear equation system to obtain three-dimensional velocity distribution. The method provided by the invention can measure and reconstruct the three-dimensional velocity distribution of the airflow in a non-contact manner, and has the advantages of strong applicability, high reliability and very wide application prospect.
Description
Technical Field
The invention relates to a method for measuring the three-dimensional velocity distribution of airflow based on a laser absorption spectrum tomography technology, mainly comprising the steps of measuring and reconstructing the distribution of the airflow velocity in a three-dimensional space by using the laser absorption spectrum tomography technology, and relates to the fields of the laser absorption spectrum velocity measurement technology, the tomography technology and the like.
Background
The laser absorption spectrum measurement technology is an important technology for measuring gas environment state parameters, and is widely applied to various fields of industrial process detection, combustion detection, atmospheric environment monitoring and the like. Researchers have conducted studies on gas temperature, component concentration, gas flow velocity, etc. on a single path using laser absorption spectroscopy. In combination with a tomography (also called tomography) technique, researchers also realize the measurement and reconstruction of distribution parameters such as gas temperature, component concentration and the like, however, reports on the measurement and reconstruction of gas flow velocity distribution by using a laser absorption spectrum are not available, and the invention provides a feasible method for reconstructing gas flow three-dimensional velocity distribution by using the laser absorption spectrum.
Fundamental to which laser absorption spectroscopy reliesThe physical principle is the Beer-L ambert law which states that incident light intensity is I at a frequency vin(v) When the laser light passes through a gas environment with a length of L, specific gas molecules can absorb the light intensity, so that the emergent light intensity is attenuated, and the absorption rate tau (v) is as follows:
where l is the position of the laser interaction with the substance, T is the temperature, S (T) is the linear intensity function, P is the pressure, X is the concentration of the component corresponding to the gas molecule that produces the absorption,the equation (1) formally expresses the integral relationship of the gas state parameter to the path, and the absorbance tau (v) is mathematically considered as a projection on the path L.
According to the principle of single-view laser absorption spectrum velocity measurement, when laser passes through the measured airflow, the airflow velocity can make the linear function of the absorption spectrumThe central wavelength of (2) produces a doppler shift effect, which causes a change in the linear function, which is further transferred to the absorbance by the relationship of equation (1), causing a change in the absorbance. Equation (1) also shows that the change of the absorption rate caused by the airflow speed is also related to the path integral, so that the three-dimensional distribution of the airflow speed can be measured and reconstructed by combining the tomography technology.
Based on the background, the invention provides a method for measuring the three-dimensional velocity distribution of an airflow based on a laser absorption spectrum tomography technology, which realizes the measurement and reconstruction of the three-dimensional velocity distribution of the airflow by obtaining laser absorption spectrum absorption rate measurement values at a plurality of angles and combining the tomography technology.
Disclosure of Invention
Aiming at a non-uniform flowing gas environment, the invention provides a gas flow three-dimensional velocity distribution measuring method based on a laser absorption spectrum tomography technology, and the adopted scheme is as follows:
step 1, acquiring laser absorption spectrum projection data of a plurality of different angles: selecting an absorption line of a known gas molecule in a gas flow, utilizing a laser beam which corresponds to the absorption line of the gas molecule and has a frequency v, respectively penetrating through three-dimensional measured areas through which the gas flow flows from different angles, enabling the gas molecule and the laser beam to interact to generate laser absorption spectrum projection data corresponding to the absorption line of the gas molecule, assuming that the laser beams at different angles have M in total, distinguishing the laser beams at different angles by a mark M, and recording the projection data generated by the mth laser beam as taum(v);
Step 2, discretizing the detected region and calculating a sensitivity matrix of tomography: according to the resolution requirement of tomography, the three-dimensional measured area is discretely divided into N different grids, the different grids are distinguished by the labels N, and the optical path length l of the mth laser beam passing through the nth grid can be calculated according to the geometrical relationship between the laser beams with different angles and the gridsmnAccording to the temperature T of said air flow in said gridnPressure PnComponent concentration XnThe state parameters are equal and the optical path is combined, so that the sensitivity matrix component A corresponding to the mth laser beam passing through the nth grid can be calculatedmnThe calculation formula is as follows:
Amn=lmn×Pn×Xn×S(Tn), (2)
wherein, S (T) is a line intensity function corresponding to the gas molecule absorption spectrum line, and the sensitivity matrix components are sequentially arranged according to the labels m and n to obtain the sensitivity matrix of the tomography:
A=[Amn]M×N; (3)
step 3, establishing an equation set according to the Doppler frequency shift principle of the laser absorption spectrum and the projection data of the laser absorption spectrum at different angles: establishing a spatial stereo rectangular coordinate system O-xyz on a plane where the three-dimensional measured area is located, wherein a direction vector of the mth laser beam can be expressed as:
assuming that the x, y and z directional velocity components of the airflow in the nth grid corresponding to the rectangular coordinate system are respectivelyAndthe gas flow doppler shifts the laser absorption spectrum produced by the mth laser beam in the nth grid by:
wherein v isCIs the center frequency of the gas molecule absorption line, c is the speed of light; suppose that the frequency shift in the nth grid due to other factors is Δ νnThe line function of the absorption line resulting from the passage of the mth laser beam through the nth grid is:
assuming that there are J measurement points of different frequencies in the actual measurement and the measurement points of different frequencies are distinguished by reference number J, the line function of the absorption line generated by the m laser beam passing through the n grid is taken at the J frequency measurement point vjThe linear function values above are:
according to the basic principle of laser absorption spectroscopy, the absorption line is measured at the jth frequency measurement point v by the mth laser beamjThe projection values of (d) are:
to be provided withΔvn、σn、γnFor unknowns, using the quantitative relationship described in equation (9), a nonlinear system of equations of the form:
and 4, solving the nonlinear equation set to obtain three-dimensional velocity distribution, wherein the nonlinear equation set (10) comprises J × M nonlinear equations, and can be solved by using a numerical method, and the nonlinear equation set (10) is solved as an equivalent nonlinear optimization problem as follows:
wherein,is the m-th laser obtained during an iteration of solving the non-linear optimization problem (11)The line-type function generated by the beam passing through said nth grid is measured at the jth frequency measurement point vjCalculation of linear function values, if global optimization algorithms are used, for calculatingWill gradually converge to a solution of said system of non-linear equations (10) comprising three components of said velocity profileAnd synthesizing the velocity components into vectors to obtain the three-dimensional velocity distribution of the airflow.
And reconstructing the three-dimensional air flow velocity distribution shown by the flow line in the figure 3 by using the air flow three-dimensional velocity distribution measuring method to obtain a reconstruction result shown by the flow line in the figure 4. In fig. 3 and 4, the change in the gradation indicates the magnitude of the velocity, and the unit is [ m/sec ]. Comparing the two images shows that the three-dimensional airflow velocity distribution obtained by the method for measuring the two-dimensional airflow velocity distribution is consistent with the given distribution regardless of the size or the direction, which shows that the method for measuring the three-dimensional airflow velocity distribution is effective.
Drawings
The arrows in FIG. 1 represent the directional vectors covering the 12 laser projection angles of the measured area of the cube;
the arrows in FIG. 2 represent (1,0,0)TParallel laser beams arranged in the direction, wherein the total number of the parallel laser beams is 10 × 10-100;
FIG. 3 gives a three-dimensional velocity distribution in a cube in streamline form, with the gray scale representing the magnitude of the velocity;
fig. 4 is a three-dimensional air flow velocity distribution reconstructed using the air flow three-dimensional velocity distribution measuring method.
Detailed Description
In the present embodiment, the distribution of state parameters in a cubic region is given, and the entire region is divided into 5 × 10 × 10 grids, and calculation is performed by a parallel beam laser absorption spectrum tomography method, to give a reconstruction result of velocity distribution.
The following further describes embodiments of the present invention with reference to the drawings.
Step 1, selecting the center frequency of 7495.5cm-1Nearby H2And (4) researching the molecular spectral line, obtaining characteristic parameters of the spectral line according to a HITRAN database, and calculating a line intensity function S (T) of the spectral line.
And 2, giving the temperature, the pressure, the water vapor concentration, the air flow speed, the non-Doppler frequency shift, a linear function and the like in a cubic area, uniformly dividing the cubic area into 5 × 10 × 10 grids, wherein the state parameters are uniform in each grid.
The cube was probed with parallel laser beams at 12 projection angles, the direction vectors of which are shown in fig. 1, and the coordinates of which are shown in table 1.
TABLE 1.12 Direction vectors of laser projection angles
Each angle has 10 × 10-100 parallel laser beams, so the total number of laser beams used in the measurement process is 1200, and the arrows in fig. 2 show (1,0,0)TThe arrangement of the parallel laser beams in the direction. The optical path of the mth laser beam passing through the nth grid is lmnAccording to the temperature T of said air flow in said gridnPressure PnComponent concentration XnThe state parameters are equal and the optical path is combined, so that the sensitivity matrix component A corresponding to the mth laser beam passing through the nth grid can be calculatedmnThe calculation formula is as follows:
Amn=lmn×Pn×Xn×S(Tn), (12)
and sequentially arranging the sensitivity matrix components according to the labels m and n to obtain the sensitivity matrix of the tomography:
A=[Amn]1200×500(13)
step 3, the direction vector of the mth laser beam can be expressed as:
as shown in fig. 3, the x-direction and y-direction velocity components of the airflow in the nth grid corresponding to the rectangular spatial coordinate system are respectivelyAndthe gas flow doppler shifts the laser absorption spectrum produced by the mth laser beam in the nth grid by:
wherein v isCIs the center frequency of the gas molecule absorption line, c is the speed of light; the non-Doppler-induced frequency shift in the given nth grid is Δ νnThe line function of the absorption line resulting from the passage of the mth laser beam through the nth grid is:
wherein σn、γnIs a parameter of said given linear function, said linear functionThe mathematical form of (a) is:
at 7495.5cm-1Nearby 0.4cm-1Within the range of (A) and (B),selecting 40 different frequency measurement points, the line function of the absorption line generated by the mth laser beam passing through the nth grid is used to measure the point v at the jth frequencyjThe linear function values above are:
according to the basic principle of laser absorption spectroscopy, the absorption line is measured at the jth frequency measurement point v by the mth laser beamjThe projection values of (d) are:
step 4, in the process of simulation calculation, the method comprisesΔvn、σn、γnFor unknowns, according to the derivation process in step 3, a nonlinear system of equations of the form:
step 4, 48000 nonlinear equations in the nonlinear equation set (20) can be solved by using a numerical method, and the nonlinear equation set (20) is solved by converting into an equivalent nonlinear optimization problem as follows:
wherein,is a linear function at the jth frequency measurement point v, resulting from the passage of the mth laser beam through the nth grid during an iteration of solving the nonlinear optimization problem (21)jCalculation of linear function values, if global maximum is usedOptimization algorithm for calculatingWill gradually converge to a solution of said system of non-linear equations (20) comprising three-dimensional components of said velocity profile Vector synthesis is performed on the three-dimensional components of the velocity distribution, so that the velocity distribution of the airflow in the three-dimensional cube can be obtained, as shown in fig. 4.
Claims (1)
1. A method for measuring the three-dimensional velocity distribution of airflow based on a laser absorption spectrum tomography technology comprises the following steps:
step 1, acquiring laser absorption spectrum projection data of a plurality of different angles: selecting an absorption spectral line of a known gas molecule in gas flow, utilizing a laser beam which corresponds to the absorption spectral line of the gas molecule and has a frequency of v to respectively pass through three-dimensional measured areas through which the gas flow flows from different angles, enabling the gas molecule and the laser beam to interact to generate laser absorption spectrum projection data corresponding to the absorption spectral line of the gas molecule, assuming that the laser beams at different angles have M in total, distinguishing the laser beams at different angles by a label M, and recording the projection data generated by the mth laser beam as taum(ν);
Step 2, discretizing the detected region and calculating a sensitivity matrix of tomography: according to the resolution requirement of tomography, the three-dimensional measured area is discretely divided into N different grids, the different grids are distinguished by the labels N, and the optical path length l of the mth laser beam passing through the nth grid is calculated according to the geometrical relationship between the laser beams with different angles and the gridsmnAccording to the temperature T of said air flow in said gridnPressure PnComponent concentration XnCalculating the three kinds of state parameters by combining the optical pathThe m laser beam passes through the sensitivity matrix component A corresponding to the n gridmnThe calculation formula is as follows:
Amn=lmn×Pn×Xn×S(Tn), (1)
wherein, S (T) is a line intensity function corresponding to the gas molecule absorption spectrum line, and the sensitivity matrix components are sequentially arranged according to the labels m and n to obtain the sensitivity matrix of the tomography:
A=[Amn]M×N; (2)
step 3, establishing an equation set according to the Doppler frequency shift principle of the laser absorption spectrum and the projection data of the laser absorption spectrum at different angles: establishing a spatial rectangular coordinate system O-xyz on a plane where the three-dimensional measured area is located, wherein the direction vector of the mth laser beam is expressed as:
assuming that the x, y and z directional velocity components of the airflow in the nth grid corresponding to the rectangular coordinate system are respectivelyAndthe gas flow doppler shifts the laser absorption spectrum produced by the mth laser beam in the nth grid by:
wherein, vCIs the center frequency of the gas molecule absorption line, c is the speed of light; suppose that the frequency shift in the nth grid due to other factors is Δ νnThe line function of the absorption line resulting from the passage of the mth laser beam through the nth grid is:
assuming that there are J measurement points of different frequencies in the actual measurement and the measurement points of different frequencies are distinguished by the reference number J, the linear function of the absorption line produced by the mth laser beam passing through the nth grid is measured at the jth frequency at the measurement point vjThe linear function values above are:
according to the basic principle of laser absorption spectrum technology, the absorption spectrum line is measured at the jth frequency measurement point v by the mth laser beamjThe projection values of (d) are:
to be provided withΔνn、σn、γnFor unknowns, using the quantitative relationship of equation (8), a nonlinear system of equations of the form:
and 4, solving the nonlinear equation set to obtain three-dimensional velocity distribution, wherein the nonlinear equation set (9) comprises J × M nonlinear equations, the numerical method is used for solving, and the nonlinear equation set (9) is changed into the following equivalent nonlinear optimization problem solution:
wherein,is a linear function at a j-th frequency measurement point v of the m-th laser beam through the n-th grid obtained during an iteration of solving the nonlinear optimization problem (10)jCalculation of linear function values, if global optimization algorithms are used, for calculatingWill gradually converge to a solution of said system of non-linear equations (9) comprising three components of said velocity profileAnd synthesizing the velocity components into vectors to obtain the three-dimensional velocity distribution of the airflow.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811024114.4A CN109061221B (en) | 2018-09-04 | 2018-09-04 | Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811024114.4A CN109061221B (en) | 2018-09-04 | 2018-09-04 | Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109061221A CN109061221A (en) | 2018-12-21 |
CN109061221B true CN109061221B (en) | 2020-07-31 |
Family
ID=64758249
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811024114.4A Active CN109061221B (en) | 2018-09-04 | 2018-09-04 | Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109061221B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110879300A (en) * | 2019-10-11 | 2020-03-13 | 中国航发沈阳发动机研究所 | Method and system for measuring velocity of flowing particles |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103293333A (en) * | 2013-05-10 | 2013-09-11 | 东南大学 | Two-dimensional flow velocity field measurement method and device of interlaced scanning CCD (charge coupled device) |
CN103645341A (en) * | 2013-11-19 | 2014-03-19 | 北京信息科技大学 | Whole flow field 3D visualization velocity measuring method |
CN106815878A (en) * | 2015-12-02 | 2017-06-09 | 北京航空航天大学 | A kind of image rebuilding method based on the multispectral tomography of various visual angles |
CN106908622A (en) * | 2017-03-15 | 2017-06-30 | 东南大学 | A kind of chromatography PIV measurement apparatus and method based on optical field imaging |
US9970756B2 (en) * | 2015-10-06 | 2018-05-15 | Bridger Photonics, Inc. | High-sensitivity gas-mapping 3D imager and method of operation |
-
2018
- 2018-09-04 CN CN201811024114.4A patent/CN109061221B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103293333A (en) * | 2013-05-10 | 2013-09-11 | 东南大学 | Two-dimensional flow velocity field measurement method and device of interlaced scanning CCD (charge coupled device) |
CN103645341A (en) * | 2013-11-19 | 2014-03-19 | 北京信息科技大学 | Whole flow field 3D visualization velocity measuring method |
US9970756B2 (en) * | 2015-10-06 | 2018-05-15 | Bridger Photonics, Inc. | High-sensitivity gas-mapping 3D imager and method of operation |
CN106815878A (en) * | 2015-12-02 | 2017-06-09 | 北京航空航天大学 | A kind of image rebuilding method based on the multispectral tomography of various visual angles |
CN106908622A (en) * | 2017-03-15 | 2017-06-30 | 东南大学 | A kind of chromatography PIV measurement apparatus and method based on optical field imaging |
Non-Patent Citations (2)
Title |
---|
Effects of Views and Spectral Lines Numbers on Hyperspectral Temperature Distribution Tomography;Qianwei Qu 等;《2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings》;20160526;全文 * |
Local integrated absorbance tomography based on revised iterative reconstruction-reprojection algorithm;Wenqiang Zhang 等;《2017 IEEE International Conference on Imaging Systems and Techniques (IST)》;20171020;全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN109061221A (en) | 2018-12-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109061220B (en) | Airflow two-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology | |
Nicolas et al. | A direct approach for instantaneous 3D density field reconstruction from background-oriented schlieren (BOS) measurements | |
Nicolas et al. | 3D reconstruction of a compressible flow by synchronized multi-camera BOS | |
US9927356B2 (en) | Systems and methods for detecting gases, airborne compounds, and other particulates | |
Ozawa et al. | Fast-response temperature-sensitive-paint measurements on a hypersonic transition cone | |
Jeon et al. | Performances of new reconstruction algorithms for CT-TDLAS (computer tomography-tunable diode laser absorption spectroscopy) | |
Grauer et al. | Multiparameter gas sensing with linear hyperspectral absorption tomography | |
Terzija et al. | Image optimization for chemical species tomography with an irregular and sparse beam array | |
Nouguier et al. | Nonlinear ocean wave reconstruction algorithms based on simulated spatiotemporal data acquired by a flash LIDAR camera | |
Lawson et al. | A scanning PIV method for fine-scale turbulence measurements | |
CN109100044B (en) | Single-light-path multispectral-based gas temperature probability density distribution fitting reconstruction method | |
CN108627272A (en) | A kind of two-dimension temperature distribution method for reconstructing based on four angle laser absorption spectrums | |
CN103430030A (en) | Method and device for determining the movements of a fluid from remote measurements of radial velocities | |
Grauer et al. | Gaussian model for emission rate measurement of heated plumes using hyperspectral data | |
Si et al. | Hierarchical temperature imaging using pseudoinversed convolutional neural network aided TDLAS tomography | |
Xia et al. | Numerical study of two-dimensional water vapor concentration and temperature distribution of combustion zones using tunable diode laser absorption tomography | |
CN109061221B (en) | Airflow three-dimensional velocity distribution measuring method based on laser absorption spectrum tomography technology | |
Rajendran et al. | Uncertainty amplification due to density/refractive index gradients in background-oriented schlieren experiments | |
Soltys et al. | Joint probabilities and mixing of isolated scalars emitted from parallel jets | |
CN107870159B (en) | Gas concentration two-dimensional reconstruction method for tunable semiconductor laser absorption spectrum | |
Hertwig et al. | Organized turbulent structures—Link between experimental data and LES | |
Pehrson et al. | Hypersonic FLEET velocimetry and uncertainty characterization in a tripped boundary layer | |
CN112945513A (en) | Wind tunnel test section air density measurement system based on four-wave shearing interferometer | |
Khashehchi et al. | Accuracy of tomographic particle image velocimetry data on a turbulent round jet | |
Roggemann et al. | Sensing three-dimensional index-of-refraction variations by means of optical wavefront sensor measurements and tomographic reconstruction |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |