CN108519311B - Real-time smoke particle density detection device and method - Google Patents
Real-time smoke particle density detection device and method Download PDFInfo
- Publication number
- CN108519311B CN108519311B CN201810187458.0A CN201810187458A CN108519311B CN 108519311 B CN108519311 B CN 108519311B CN 201810187458 A CN201810187458 A CN 201810187458A CN 108519311 B CN108519311 B CN 108519311B
- Authority
- CN
- China
- Prior art keywords
- smoke
- particles
- smoke particles
- airflow cavity
- light
- 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
- 239000002245 particle Substances 0.000 title claims abstract description 148
- 239000000779 smoke Substances 0.000 title claims abstract description 133
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 21
- 238000004140 cleaning Methods 0.000 claims abstract description 13
- 238000011897 real-time detection Methods 0.000 claims abstract description 9
- 238000004062 sedimentation Methods 0.000 claims abstract description 5
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 claims description 12
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 12
- 239000007789 gas Substances 0.000 claims description 8
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- 230000001427 coherent effect Effects 0.000 claims description 5
- 230000001678 irradiating effect Effects 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 abstract description 2
- 238000000386 microscopy Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000004071 soot Substances 0.000 description 3
- 239000012530 fluid Substances 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 238000005054 agglomeration Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000004090 dissolution Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a smoke particle density real-time detection device and a smoke particle density real-time detection method, which relate to the technical field of smoke detection and comprise a laser light source, an airflow cavity, an image sensor, a computer and an airflow cavity input and cleaning device; the gas output port of the airflow cavity input and cleaning device is connected with the inlet of the airflow cavity, the laser light source irradiates smoke particles in the airflow cavity through the airflow cavity, the image sensor acquires smoke particle images of the airflow cavity, the output end of the image sensor is connected with the input end of the computer, and the smoke particle images acquired for multiple times are sent to the computer; the invention adopts holographic microscopy, can not only measure the density of smoke particles in real time through the particle sedimentation velocity, but also can remove the influence of water drops on statistical measurement through particle morphology and phase analysis, and the measurement precision of the technology can reach the magnitude of tens of micrograms per cubic meter.
Description
Technical Field
The invention relates to the technical field of smoke detection, in particular to a real-time smoke particle density detection device and method.
Background
The traditional smoke detection method needs to heat the smoke to 150 ℃, so that the influence of water particles in the smoke on statistics is removed, but water beads can also wrap the particles at 150 ℃ due to the dissolution and the agglomeration of the water and the particles. In addition, the traditional method can only monitor several milligrams per cubic meter of smoke dust, and when the smoke density is measured, the smoke density needs to be periodically sampled, the specific gravity of the smoke needs to be measured, and the mass needs to be calculated.
Disclosure of Invention
The invention provides a smoke particle density real-time detection device and a smoke particle density real-time detection method aiming at the problems.
In order to achieve the purpose, the invention provides a smoke particle density real-time detection device, which comprises a laser light source, an airflow cavity, an image sensor, a computer and an airflow cavity input and cleaning device, wherein the laser light source is used for emitting laser light;
the gas output port of the airflow cavity input and cleaning device is connected with the inlet of the airflow cavity, the laser light source irradiates smoke particles in the airflow cavity through the airflow cavity, the image sensor collects images of the smoke particles in the airflow cavity, the output end of the image sensor is connected with the input end of the computer, and the images of the smoke particles collected for multiple times are sent to the computer.
Preferably, the airflow cavity inputting and cleaning device comprises a switch valve, an acetone storage cavity, a nitrogen storage cavity, a smoke storage cavity to be detected and a pump, wherein an outlet of the acetone storage cavity, an outlet of the nitrogen storage cavity and an outlet of the smoke storage cavity to be detected are all connected with the switch valve, and gas is sent into the airflow cavity through the pump.
Preferably, the image sensor acquires an image of smoke particles in the airflow chamber, specifically: the image sensor collects a hologram formed by coherent superposition of scattered light of smoke particles and reference light which is not scattered in the airflow cavity.
Preferably, the computer reconstructs the smoke particle section images through inversion by a digital reconstruction method, the two adjacently acquired smoke particle section images are subjected to differential subtraction to obtain the settling velocity of the smoke particles, and the smoke particle density is obtained according to the stress relationship of the smoke particles.
Preferably, the digital reconstruction method specifically includes: fourier transform method.
The detection method by adopting the real-time smoke particle density detection device comprises the following steps:
opening the switch valve to enable smoke to enter the airflow cavity, and closing the switch valve when the smoke is stable;
starting a laser light source, irradiating smoke particles to be detected by laser spherical waves, and coherently superposing scattered light of the smoke particles and reference light which is not scattered to form a hologram;
the image sensor collects the hologram and sends it to the computer to obtain the density of the smoke particles.
Preferably, the image sensor collects a hologram and sends the hologram to a computer to obtain the density of smoke particles, specifically as follows:
reconstructing a smoke particle section image through inversion of a digital reconstruction method;
carrying out differential subtraction on two adjacently collected smoke particle section images to obtain the sedimentation velocity of the smoke particles;
and obtaining the density of the smoke particles according to the stress relation of the smoke particles.
Preferably, the stress relationship is as follows: the smoke particles are subject to gravitational, buoyant and resistive forces.
Preferably, after the step of reconstructing the smoke particle section image by inversion of the digital reconstruction method, the method further comprises the following steps: the effect of water droplets on smoke particles is removed based on the phase difference in the phase of the particles' light relative to the light passing through the surrounding medium.
Preferably, the influence of water droplets on smoke particles is removed according to the phase difference of the light of the particles relative to the light passing through the surrounding medium, specifically:
when the phase difference of the light of the particles relative to the light passing through the surrounding medium is a negative value, the particles are smoke particles;
when the phase difference of the light of the particles with respect to the light passing through the surrounding medium is positive, the particles are water droplets.
The invention provides a real-time detection device and a method for smoke particle density, the holographic microscopy can not only measure the density of smoke particles in real time through particle sedimentation velocity, but also can remove the influence of water drops on statistical measurement through particle morphology and phase analysis, and the measurement precision of the technology can reach the magnitude of tens of micrograms per cubic meter.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a schematic diagram of a real-time smoke particle density detection apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic view of an embodiment of an airflow chamber input and cleaning apparatus;
FIG. 3 is a flow chart of a method for real-time detection of smoke particle density in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart of step S30 according to an embodiment of the present invention;
FIG. 5 is an image of a cross-section of a smoke particle in accordance with an embodiment of the present invention;
FIG. 6 is a schematic diagram of the variation of phase difference of smoke particles according to an embodiment of the present invention;
FIG. 7 is an image of a water droplet in accordance with an embodiment of the present invention;
FIG. 8 is a schematic diagram illustrating a variation of phase difference of water droplets according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The invention provides a real-time smoke particle density detection device;
in a preferred embodiment of the present invention, as shown in fig. 1, the device comprises a laser light source, an airflow chamber (transparent), an image sensor, a computer, an airflow chamber input and cleaning device;
the gas output port of the airflow cavity input and cleaning device is connected with the inlet of the airflow cavity, the laser light source irradiates smoke particles in the airflow cavity through the airflow cavity, the image sensor collects images of the smoke particles in the airflow cavity, the output end of the image sensor is connected with the input end of the computer, and the images of the smoke particles collected for multiple times are sent to the computer.
In a preferred embodiment of the present invention, as shown in fig. 2, the airflow chamber inputting and cleaning device includes a switch valve, an acetone storage chamber, a nitrogen storage chamber, and a smoke storage chamber to be tested, wherein an output port of the acetone storage chamber, an output port of the nitrogen storage chamber, and an output port of the smoke storage chamber to be tested are all connected to the switch valve, and gas is sent into the airflow chamber through a pump.
In a preferred embodiment of the present invention, the image sensor acquires an image of smoke particles in the airflow chamber, specifically: the image sensor collects a hologram formed by coherent superposition of scattered light of smoke particles and reference light which is not scattered in the airflow cavity.
In a preferred embodiment of the invention, the computer reconstructs the sectional images of the smoke particles through inversion by a digital reconstruction method, the two sectional images of the smoke particles which are adjacently collected are subjected to differential subtraction to obtain the settling velocity of the smoke particles, and the density of the smoke particles is further obtained according to the stress relationship of the smoke particles.
In a preferred embodiment of the present invention, the digital reconstruction method specifically includes: fourier transform method.
The invention also provides a detection method by adopting the real-time smoke particle density detection device;
as shown in fig. 3, the method comprises the following steps:
s10, opening the switch valve to enable smoke to enter the airflow cavity, and closing the switch valve when the smoke is stable;
in the embodiment of the invention, the gas in the smoke storage cavity to be tested enters the fluid cavity through the pump, and the height of the smoke storage cavity to be tested is 2mm
S20, starting a laser light source, irradiating smoke particles to be detected with laser spherical waves, and forming a hologram by coherent superposition of scattered light of the smoke particles and reference light which is not scattered;
in the embodiment of the invention, the laser light source adopts 405nm laser, the diameter of the output light spot is 2 μm, the laser light source can be approximately used as a point light source, and the point light source emits spherical waves. Spherical waves are irradiated on the smoke particles and scattered, and scattered light and reference light which is not scattered are coherently superposed to form a hologram.
The light intensity of the hologram is calculated by:
I(x，y)＝|O(x，y)+R(x，y)|2＝O(x，y)O(x，y)*+R(x，y)R(x，y)*+0(x，y)R(x，y)*+R(x，y)O(x，y)*(1)
wherein, O (x, y) is sample light, R (x, y) is reference light, and is conjugate sign;
and S30, collecting the hologram by the image sensor and sending the hologram to the computer to obtain the density of the smoke particles.
In a preferred embodiment of the present invention, step S30, as shown in fig. 4, specifically includes the following steps:
s301, performing inversion reconstruction on the smoke particle section image through a digital reconstruction method;
in the embodiment of the invention, the computer adopts a Fourier transform method to carry out inversion reconstruction on the smoke particle section image and measure the particle size. Figure 5 shows a cross-sectional image of a smoke particle;
s302, carrying out differential subtraction on two adjacently collected smoke particle section images to obtain the settlement speed of the smoke particles;
in the embodiment of the invention, a differential subtraction algorithm is carried out on two smoke particle images recorded at a certain time t, the moving distance s of smoke particles in the time is measured, and the settling velocity of the smoke particles is calculated according to v ═ s/t;
and S303, obtaining the density of the smoke particles according to the stress relation of the smoke particles.
In a preferred embodiment of the present invention, the stress relationship specifically includes: the smoke particles are subject to gravitational, buoyant and resistive forces.
Furthermore, according to the stress condition of the smoke particles, the particles are influenced by the attraction, the buoyancy and the resistance, and the relationship can be expressed as the following formula:
G＝F+f (2)
wherein G is the gravity to which the soot particles are subjected:
f is the buoyancy force to which the soot particles are subjected:
f is the resistance experienced by the soot particles:
from the above formula to give a particle density of
Wherein d is the smoke particle diameter, psIs the particle density, p is the fluid density, CdIs the drag coefficient, g is the gravitational acceleration, S is the particle surface area;
in a preferred embodiment of the present invention, after step S301, the method further includes: the effect of water droplets on smoke particles is removed based on the phase difference in the phase of the particles' light relative to the light passing through the surrounding medium.
The method specifically comprises the following steps:
when the phase difference of the light of the particles relative to the light passing through the surrounding medium is a negative value, the particles are smoke particles;
in the embodiment of the invention, the smoke particles are small in particle size (1-10 mu m), the particles are spherical or ellipsoidal, the surfaces of the particles are uneven and cellular, and the particles have an absorption effect on 405nm laser, so that the phase of the light passing through the smoke particles is changed relative to the phase of the light passing through the surrounding medium, a phase difference is formed, and the phase difference is a negative value. Fig. 6 is a graph showing the variation of the phase difference of smoke particles (distance on the abscissa and phase difference on the ordinate), and it can be seen that the phase difference is negative.
When the phase difference of the light of the particles with respect to the light passing through the surrounding medium is positive, the particles are water droplets.
In the embodiment of the invention, the water drop is a transparent substance and is spherical, and the phase difference formed by the change of the phase of the light passing through the water drop relative to the phase of the light passing through the surrounding medium is a positive value. (FIG. 7 is a water droplet image, and FIG. 8 is a change curve of a water droplet phase difference). Thus, the influence of water drops on particle statistics can be removed through phase comparison.
After the detection is finished, other gases are input through the airflow cavity input and cleaning device to clean the airflow cavity;
the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A real-time smoke particle density detection device is characterized by comprising a laser light source, an airflow cavity, an image sensor, a computer and an airflow cavity input and cleaning device;
the gas output port of the airflow cavity input and cleaning device is connected with the inlet of the airflow cavity, the laser light source irradiates smoke particles in the airflow cavity through the airflow cavity, the image sensor acquires smoke particle images of the airflow cavity, the output end of the image sensor is connected with the input end of the computer, and the smoke particle images acquired for multiple times are sent to the computer;
the computer carries out inversion reconstruction on the sectional images of the smoke particles through a digital reconstruction method, the two adjacently collected sectional images of the smoke particles are subjected to differential subtraction to obtain the settling velocity of the smoke particles, and then the density of the smoke particles is obtained according to the stress relation of the smoke particles; the method comprises the following specific steps:
reconstructing a smoke particle section image through inversion of a digital reconstruction method;
according to the phase difference of the light of the particles relative to the light passing through the surrounding medium, the influence of water drops on the smoke particles is removed;
carrying out differential subtraction on two adjacently collected smoke particle section images to obtain the sedimentation velocity of the smoke particles;
obtaining the density of the smoke particles according to the stress relation of the smoke particles;
the method for removing the influence of water droplets on smoke particles according to the phase difference of the particle light relative to the light passing through the surrounding medium comprises the following steps:
when the phase difference of the light of the particles relative to the light passing through the surrounding medium is a negative value, the particles are smoke particles;
when the phase difference of the light of the particles with respect to the light passing through the surrounding medium is positive, the particles are water droplets.
2. The smoke particle density real-time detection device according to claim 1, wherein the airflow chamber input and cleaning device comprises a switch valve, an acetone storage chamber, a nitrogen storage chamber and a smoke storage chamber to be detected, the acetone storage chamber output port, the nitrogen storage chamber output port and the smoke storage chamber output port to be detected are all connected with the switch valve, and gas is sent into the airflow chamber through a pump.
3. The smoke particle density real-time detection device according to claim 1, wherein the image sensor collects an image of the smoke particles in the airflow chamber, specifically: the image sensor collects a hologram formed by coherent superposition of scattered light of smoke particles and reference light which is not scattered in the airflow cavity.
4. The real-time smoke particle density detection device according to claim 1, wherein the digital reconstruction method specifically comprises: fourier transform method.
5. A method of testing using the real-time smoke particle density testing apparatus of claim 1, comprising the steps of:
opening the switch valve to enable smoke to enter the airflow cavity, and closing the switch valve when the smoke is stable;
starting a laser light source, irradiating smoke particles to be detected by laser spherical waves, and forming a hologram by coherent superposition of scattered light of the smoke particles and reference light which is not scattered;
the image sensor collects the hologram and sends the hologram to the computer to obtain the density of the smoke particles, which is as follows:
reconstructing a smoke particle section image through inversion of a digital reconstruction method;
according to the phase difference of the light of the particles relative to the light passing through the surrounding medium, the influence of water drops on the smoke particles is removed;
carrying out differential subtraction on two adjacently collected smoke particle section images to obtain the sedimentation velocity of the smoke particles;
and obtaining the density of the smoke particles according to the stress relation of the smoke particles.
6. The detection method according to claim 5, wherein the force relationship is specifically: the smoke particles are subject to gravitational, buoyant and resistive forces.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187458.0A CN108519311B (en) | 2018-03-07 | 2018-03-07 | Real-time smoke particle density detection device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187458.0A CN108519311B (en) | 2018-03-07 | 2018-03-07 | Real-time smoke particle density detection device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108519311A CN108519311A (en) | 2018-09-11 |
| CN108519311B true CN108519311B (en) | 2020-04-24 |
Family
ID=63433518
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810187458.0A Active CN108519311B (en) | 2018-03-07 | 2018-03-07 | Real-time smoke particle density detection device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108519311B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108872037A (en) * | 2018-07-19 | 2018-11-23 | 合肥工业大学 | Incipient fire feature checking test based on line holographic projections technology |
| CN109459361A (en) * | 2018-12-26 | 2019-03-12 | 广州市怡文环境科技股份有限公司 | A kind of dust measurement system |
| CN110389091B (en) * | 2019-08-19 | 2021-01-29 | 中国矿业大学 | Gas-solid two-phase flow state parameter detection device based on luminosity change and application thereof |
| CN112964600B (en) * | 2021-02-08 | 2022-07-19 | 中国科学院空间应用工程与技术中心 | Measuring device and method for density distribution of low-concentration gas evaporated by micro-droplets |
| CN113804594A (en) * | 2021-08-03 | 2021-12-17 | 华帝股份有限公司 | Photoelectric smoke sensor calibration-free method based on Fourier transform, photoelectric smoke sensor system and range hood |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1202412C (en) * | 2003-07-01 | 2005-05-18 | 武汉理工大学 | Settling type laser reflection image point granularity measuring method |
| CN104237109B (en) * | 2014-07-02 | 2017-04-19 | 南京航空航天大学 | Method and device for measuring deformation and breakage process characteristics of single liquid drop in airflow |
| CN104897538A (en) * | 2015-06-16 | 2015-09-09 | 天津大学 | Construction site raising dust detecting device based on digital holography |
| CN104931394B (en) * | 2015-06-23 | 2019-01-29 | 北京工业大学 | A kind of detection different spaces dimension is lauched the method and system of middle wadding body fractal property |
| US10386384B2 (en) * | 2016-02-01 | 2019-08-20 | Regents Of The Univesity Of Minnesota | System and method for digital inline holography |
| CN105651656B (en) * | 2016-04-01 | 2018-09-11 | 黄恺 | The device and its working method of grain shape are analyzed based on laser hologram imaging method |
| CN208537351U (en) * | 2018-03-07 | 2019-02-22 | 广州博冠光电科技股份有限公司 | A kind of smoke particle density real-time detection apparatus |
-
2018
- 2018-03-07 CN CN201810187458.0A patent/CN108519311B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108519311A (en) | 2018-09-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108519311B (en) | Real-time smoke particle density detection device and method | |
| CN101842751B (en) | Tracking and characterizing particles with holographic video microscopy | |
| Mathis et al. | A predictive inner–outer model for streamwise turbulence statistics in wall-bounded flows | |
| Miles et al. | Novel optical techniques for measurements of light extinction, scattering and absorption by single aerosol particles | |
| Schröder et al. | 3D Lagrangian particle tracking in fluid mechanics | |
| De Jong et al. | Measurement of inertial particle clustering and relative velocity statistics in isotropic turbulence using holographic imaging | |
| US10467764B2 (en) | Method for counting and characterization of particles in a fluid in movement | |
| Yang et al. | Digital particle holographic system for measurements of spray field characteristics | |
| Berg et al. | Solving the inverse problem for coarse-mode aerosol particle morphology with digital holography | |
| CN105547944A (en) | Inhalable particle detection method based on superimposition diffraction | |
| Casari et al. | Measurement approaches for the analysis of soil layer by microparticle adhesion | |
| Varano | Fluid dynamics and surface pressure fluctuations of turbulent boundary layers over sparse roughness | |
| Muste et al. | Large-scale particle image velocimetry—A reliable tool for physical modeling | |
| Augsburg et al. | Measures development for brake dust emissions with computational fluid dynamics and particle imaging velocimetry | |
| CN208537351U (en) | A kind of smoke particle density real-time detection apparatus | |
| EP2649430B1 (en) | Method and device for characterizing the internal dynamics of a sample of material in the presence of a rigid displacement | |
| Schäfer et al. | Comparison of holographic and tomographic particle-image velocimetry turbulent channel flow measurements | |
| Ünal | Effect of surface roughness on the turbulent boundary layer due to marine coatings | |
| Bagheri | Numerical and experimental investigation of particle terminal velocity and aggregation in volcanic plumes | |
| Arnold et al. | Measurements of elastic light-scattering patterns and images of single, oriented, optically trapped particles | |
| Hasani | Combustion Soot Nanoparticles: Mechanism of Restructuring and Mechanical Properties | |
| Chaabo | Optimization of a 4D-PTV metrology for the characterization of a turbulent flow at very small scales | |
| Prodi et al. | Digital holography for observing aerosol particles undergoing Brownian motion in microgravity conditions | |
| Demidov et al. | Differences and similarities in optical properties of coated fractal soot and its surrogates | |
| Yuan et al. | The analysis of influencing factors on Tikhonov and truncated singular value decomposition inversion of flowing aerosol particle in dynamic light scattering |
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 |