CN116297296A - Extinction performance parameter determination method and system for non-spherical biological particle material - Google Patents
Extinction performance parameter determination method and system for non-spherical biological particle material Download PDFInfo
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Abstract
The invention provides a method and a system for determining extinction performance parameters of a non-spherical biological particle material, which belong to the technical field of biological extinction materials and comprise the following steps: performing infrared spectral reflectance testing on the non-spherical biological particle material to determine the complex refractive index of the non-spherical biological particle material; acquiring a scanning electron microscope image of the non-spherical biological particle material to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle; invoking a particle generation function to generate a non-spherical set of biological particles; agglomerating individual non-spherical biological particles in a collection of non-spherical biological particles to determine an agglomerate model of the non-spherical biological particle material; acquiring the equivalent radius, the porosity and the spatial position of each non-spherical biological particle in the aggregate model; and calculating extinction performance parameters of the aggregate model. The invention can more accurately calculate the extinction performance parameters of the non-spherical biological particle material.
Description
Technical Field
The invention belongs to the technical field of biological extinction materials, and particularly relates to a method and a system for determining extinction performance parameters of an aspheric biological particle material.
Background
The biological extinction material is generally composed of artificially prepared biological particles, and after the biological extinction material is released by manpower, the biological extinction material can be used for weakening the imaging quality and the system working performance of optical imaging detection equipment, and the accurate calculation of extinction performance parameters is beneficial to the screening and the controllable preparation of the strong extinction material. The particle shape of the biological matting material varies depending on the characteristics of the living body and the environmental conditions of the preparation, and generally has a relatively regular shape such as a sphere, an ellipsoid, a cylinder, etc., and an irregular shape such as a pumpkin-like shape, a red blood cell-like shape, etc., and the particle shape is mainly a non-spherical shape having different sizes. While non-spherical bio-particle materials generally contain bio-particles of different sizes (polydispersities) and different non-spherical shapes, in the actual use process, the non-spherical bio-particle materials exist in the form of polydisperse mixed aggregates containing different numbers and different non-spherical shapes when released into the air, and the space structure is complex, so that the extinction characteristics of the aggregates are difficult to calculate, and the extinction performance parameters of the non-spherical bio-particle materials cannot be accurately determined.
At present, when the extinction characteristic of an aggregate is calculated, the particle is generally equivalent to an ideal standard spherical particle, the aggregation process and the spatial structure of the aggregate are simulated through a Cluster-Cluster aggregation (Cluster-Cluster Aggregation, CCA) model and a ballistic particle-Cluster aggregation (Ballistic Particle-Cluster Aggregation, abbreviated as BPCA) model, and when the complex refractive index of the material is obtained, the extinction characteristic parameter is calculated by adopting a discrete dipole approximation (Discrete Dipole Approximation, DDA) method. However, for a part of non-spherical biological particle materials, the extinction performance of the material has a certain relation with the non-spherical morphology, and when the extinction characteristic parameters of the material are calculated, the influence of the particle morphology difference on the spatial structure of the aggregate cannot be ignored, otherwise, the extinction performance parameters of the non-spherical biological particle materials are calculated inaccurately.
However, for non-spherical biological particle materials, the above aggregation model cannot accurately simulate and construct a true polydisperse aggregate mixed with different shapes, wherein the CCA model is influenced by grids, the center of each particle can only be on grid points, the position relationship of two adjacent particles is only in six vertical directions from front to back, left to right, up to down, and the true position relationship among particles and random orientation motion simulation in the particle aggregation process are difficult to accurately express. The BPCA model cannot effectively realize collision contact detection of non-spherical biological particles and cannot be directly used for constructing aggregates of non-spherical biological particles. The method is more reasonable and feasible, and the non-spherical biological particle aggregation model is constructed, so that the spatial structure of the aggregate can be simulated, and the extinction performance parameters of the non-spherical biological particle material can be accurately calculated.
Disclosure of Invention
One of the purposes of the invention is to provide a method for determining the extinction performance parameters of an aspheric biological particle material, which can more accurately calculate the extinction performance parameters of the aspheric biological particle material.
The invention also aims at providing an extinction performance parameter determining system of the non-spherical biological particle material.
In order to achieve one of the above purposes, the present invention is implemented by the following technical scheme:
a method for determining a extinction performance parameter of an aspheric biological particle material, the extinction performance parameter determining method comprising the steps of:
s1, carrying out infrared spectrum reflectivity test on an aspheric biological particle material to determine the complex refractive index of the aspheric biological particle material;
s2, acquiring a scanning electron microscope image of the non-spherical biological particle material to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle;
step S3, according to the morphological parameters and the particle numbers corresponding to each morphological particle, a particle generating function is called to generate non-spherical biological particle groups;
step S4, agglomerating each non-spherical biological particle in the non-spherical biological particle set to determine an agglomerate model of the non-spherical biological particle material;
s5, acquiring equivalent radius, porosity and spatial position of each non-spherical biological particle in an aggregate model of the non-spherical biological particle material;
and S6, calculating extinction performance parameters of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
Further, in the step S1, the specific process of determining the complex refractive index of the non-spherical bio-particle material includes:
step S11, tabletting the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
s12, carrying out Fourier transform infrared spectrum test on the tabletting of the non-spherical biological particle material to obtain a reflection spectrum of the non-spherical biological particle material;
and S13, calculating the complex refractive index of the non-spherical biological particle material by adopting a Kramers-Kronig relation according to the reflection spectrum of the non-spherical biological particle material.
Further, in the step S4, the specific process of condensation includes:
step S41, obtaining the space maximum scale of each non-spherical biological particle in the non-spherical biological particle set so as to calculate the aggregation space of the non-spherical biological particles;
s42, selecting one non-spherical biological particle from the non-spherical biological particle set, and releasing the non-spherical biological particle to the central position of the aggregation space to serve as an initial aggregate;
s43, selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and releasing the non-spherical biological particle to a random position of the aggregation space, and then sequentially carrying out random rotation and random movement until the non-spherical biological particle is in contact with and tangent to the initial aggregation to form a new aggregation;
step S44, judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material, and ending; if not, the new aggregate is returned to step S43 as the initial aggregate.
Further, in the step S5, the specific process of obtaining the porosity of the aggregate model of the non-spherical biological particle material includes:
step S51, calculating the equivalent radius of an aggregate model of the non-spherical biological particle material;
step S52, obtaining the central position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material, so as to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material;
and step S53, calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
Further, the specific implementation process of the step S6 includes:
step S61, calculating the equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
step S62, converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and step S63, calculating extinction performance parameters of an aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
In order to achieve the second purpose, the invention adopts the following technical scheme:
a mat performance parameter determination system for a non-spherical bio-particle material, the mat performance parameter determination system comprising:
the testing module is used for carrying out infrared spectrum reflectivity test on the non-spherical biological particle material so as to determine the complex refractive index of the non-spherical biological particle material;
the first acquisition module is used for acquiring a scanning electron microscope image of the non-spherical biological particle material so as to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle;
the calling module is used for calling a particle generating function according to the morphological parameters and the particle numbers corresponding to each morphological particle so as to generate a non-spherical biological particle group;
a agglomeration module for agglomerating individual non-spherical biological particles in the collection of non-spherical biological particles to determine an agglomeration model of the non-spherical biological particle material;
a second acquisition module for acquiring an equivalent radius, a porosity of an aggregate model of the non-spherical bio-particle material and a spatial position of each non-spherical bio-particle in the aggregate model;
and the calculating module is used for calculating the extinction performance parameter of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
Further, the test module includes:
the tabletting processing submodule is used for carrying out tabletting processing on the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
the infrared spectrum testing submodule is used for carrying out Fourier transform infrared spectrum testing on the tabletting of the non-spherical biological particle material to obtain the reflection spectrum of the non-spherical biological particle material;
and the complex refractive index calculation submodule is used for calculating the complex refractive index of the non-spherical biological particle material according to the reflection spectrum of the non-spherical biological particle material by adopting a Kramers-Kronig relation.
Further, the aggregation module includes:
a condensation space calculation sub-module, configured to obtain a spatial maximum scale of each of the non-spherical biological particles in the non-spherical biological particle set, so as to calculate a condensation space of the non-spherical biological particles;
the first release submodule is used for selecting one non-spherical biological particle from the non-spherical biological particle set and releasing the non-spherical biological particle to the central position of the non-spherical biological particle aggregation space to serve as an initial aggregate;
the second release submodule is used for selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and sequentially carrying out random rotation and random movement after releasing the non-spherical biological particle to the random position of the aggregation space until the non-spherical biological particle is contacted and tangent with the initial aggregation to form a new aggregation;
a judging sub-module for judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material; if not, the new aggregate is transferred as the initial aggregate to a second release sub-module.
Further, the second obtaining module includes:
an equivalent radius calculation sub-module for calculating an equivalent radius of the aggregate model of the non-spherical biological particle material;
a radius of gyration calculation sub-module for obtaining the center position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material;
and the porosity calculation submodule is used for calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
Further, the computing module includes:
an equivalent complex refractive index calculation sub-module for calculating an equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
a conversion sub-module for converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and the extinction performance parameter calculation sub-module is used for calculating the extinction performance parameters of the aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
In summary, the scheme provided by the invention has the following technical effects:
the complex refractive index of the non-spherical biological particle material is determined by infrared spectrum reflectivity test; determining various morphological particles of the non-spherical biological particle material and corresponding morphological parameters and particle numbers of each morphological particle by acquiring SEM images of the non-spherical biological particle material; generating a non-spherical set of biological particles by calling a particle generation function; determining an aggregate model of the non-spherical biological particle material by aggregating individual non-spherical biological particles in the collection of non-spherical biological particles; the extinction performance parameters of the aggregate model of the non-spherical biological particle material are calculated through the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material, so that the characteristics of the non-spherical shape and the particle size distribution of the particles of the non-spherical biological particle material are reflected more truly, and the accuracy of the extinction performance parameters of the non-spherical biological particle material is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for determining extinction performance parameters of an aspheric biological particle material of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment provides a method for determining extinction performance parameters of an aspheric biological particle material, and referring to fig. 1, the method for determining extinction performance parameters comprises the following steps:
s1, carrying out infrared spectrum reflectivity test on the non-spherical biological particle material to determine the complex refractive index of the non-spherical biological particle material.
In the embodiment, the non-spherical biological particle material is subjected to tabletting treatment by using an infrared tabletting machine, and a Thermo Scientific Nicolet 8700 Fourier transform infrared spectrometer is used for measuring that the non-spherical biological particle material is tabletted at 2.5-25μmReflection spectrum in the wavelength range. Resolution is set to 0.5cm -1 The number of scans was set to 32, and the average value of the reflectances was obtained as the reflectance spectrum of the non-spherical bio-particle material. The complex refractive index was calculated by the Kramers-Kronig relationship.
For normal incident electromagnetic waves, calculating the reflection phase shift of the non-spherical bio-particle material:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,
a reflective phase shift that is a non-spherical bio-particle material;aandbthe lower limit value and the upper limit value of the working wave band of the test instrument are respectively.
Let the complex refractive index of the non-spherical biological particle material be
，/>
Then the real part of the complex refractive index +.>
And imaginary part->
The method comprises the following steps of: />
；/>
。
To sum up, the specific process of determining the complex refractive index of the non-spherical bio-particle material in this embodiment includes:
step S11, tabletting the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
s12, carrying out Fourier transform infrared spectrum test on the tabletting of the non-spherical biological particle material to obtain a reflection spectrum of the non-spherical biological particle material;
and S13, calculating the complex refractive index of the non-spherical biological particle material by adopting a Kramers-Kronig relation according to the reflection spectrum of the non-spherical biological particle material.
S2, acquiring a scanning electron microscope image of the non-spherical biological particle material to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle.
Particle morphology in this embodiment includes ellipsoids, cylinders, rods, and pumpkins. The number of the non-spherical biological particles in the non-spherical biological particle set is the sum of the particle numbers corresponding to the particles in various forms.
In this example, first, a non-spherical bio-particle material was prepared, and then a scanning electron microscope (Scanning Electron Microscope, SEM) image of the non-spherical bio-particle was obtained using a scanning electron microscope test. And determining morphological parameters such as shape, size distribution and the like of the non-spherical biological particles according to the scanning electron microscope image of the non-spherical biological particles.
S3, according to the morphological parameters and the particle numbers corresponding to the morphological particles, a particle generation function is called to generate non-spherical biological particle groups.
S4, agglomerating the non-spherical biological particles in the non-spherical biological particle set to determine an agglomeration model of the non-spherical biological particle material.
The specific process of agglomeration in this embodiment includes:
step S41, obtaining the space maximum scale of each non-spherical biological particle in the non-spherical biological particle set so as to calculate the aggregation space of the non-spherical biological particles;
s42, selecting one non-spherical biological particle from the non-spherical biological particle set, and releasing the non-spherical biological particle to the central position of the aggregation space to serve as an initial aggregate;
s43, selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and releasing the non-spherical biological particle to a random position of the aggregation space, and then sequentially carrying out random rotation and random movement until the non-spherical biological particle is in contact with and tangent to the initial aggregation to form a new aggregation;
step S44, judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material, and ending; if not, the new aggregate is returned to step S43 as the initial aggregate.
S5, acquiring equivalent radius, porosity and spatial position of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material.
In this embodiment, the specific process for obtaining the porosity of the aggregate model of the non-spherical bio-particle material includes:
step S51, calculating the equivalent radius of the aggregate model of the non-spherical biological particle material.
The equivalent radius of the aggregate model of the non-spherical bio-particle material of this embodiment is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
equivalent radius of aggregate model of non-spherical biological particle material; />
Aggregate model of non-spherical biological particle materialiThe volume of the individual non-spherical biological particles,i=1，2，…，N，Nthe number of non-spherical biological particles in the aggregate model of the non-spherical biological particle material.
Step S52, obtaining the central position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material so as to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material.
The radius of gyration of the aggregate model of the non-spherical biological particle material of this example is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
a radius of gyration of an aggregate model that is a non-spherical biological particle material; />
And->
Aggregate model of respectively non-spherical biological particle materialiIndividual non-spherical biological particles and the firstjThe coordinates of the central position of the individual non-spherical biological particles,i=1，2，…，N，j=1，2，…，N，i=j，Nthe number of non-spherical biological particles in the aggregate model of the non-spherical biological particle material.
And step S53, calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
The porosity of the aggregate model of the non-spherical bio-particle material of this example is:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,Tis non-sphericalPorosity of the aggregate model of the biological particle material.
S6, calculating extinction performance parameters of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
The extinction performance parameters of the aggregate model of the non-spherical biological particle material of this embodiment include equivalent complex refractive index, scattering cross section, absorption cross section, extinction efficiency factor, and mass extinction coefficient.
The equivalent complex refractive index of the aggregate model of the non-spherical bio-particle material of this embodiment is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>
Is the equivalent complex refractive index of the aggregate model of the non-spherical biological particle material.
The specific implementation process of the step comprises the following steps:
step S61, calculating the equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
step S62, converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and step S63, calculating extinction performance parameters of an aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation (Discrete Dipole Approximation, DDA) method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
The following technical scheme is described by specific embodiments:
example 1
1. The NP2301 non-spherical biological particle material was prepared and tested using a scanning electron microscope to obtain SEM images of the NP2301 non-spherical biological particle material.
2. According to SEM images, the particle morphology of NP2301 non-spherical bio-particle material included both cylindrical (aspect ratio 1:2) and pumpkin-like, each accounting for 50% and the particle size was uniformly distributed between 2 microns and 3 microns. Setting the number of particles N to 40, and running the non-spherical biological particle agglomeration model program 100 times to obtain an agglomeration model of the NP2301 biological material.
3. And measuring the reflection spectrum of the sample material pressed sheet in the wave band of 2.5-25 mu m by using a Thermo Scientific Nicolet 8700 Fourier transform infrared spectrometer. Resolution is set to 0.5cm -1 The number of scans was set to 32, and the average value of the reflectances was obtained as the reflectance spectrum of the NP2301 non-spherical bio-particle material. And extrapolate the reflectance in the wavelength range of 0-2.5 μm and 25 μm to 1000 μm using a constant, i.eR(0~2.5μm)=R(2.5μm)，R(25~1000μm)=R(25 μm). The complex refractive index is calculated by the K-K relationship.
4. The extinction efficiency factor of the aggregate of the 8-14 micron far infrared band non-spherical biological particle material is calculated by using a DDA method in combination with the complex refractive index, and the density of the non-spherical biological particle material NP2301 is calculatedρ=0.91500g/cm 3 The mass extinction coefficient of the non-spherical biological particle material NP2301 is obtained.
In the 8-14 micron wave band, the extinction efficiency factor of the aggregate model of the non-spherical biological particle material NP2301 is 2.871 at the wavelength of 9.683 microns, and the corresponding mass extinction coefficient is 0.590m 2 And/g, the extinction performance is excellent.
And (3) approximating the non-spherical biological particle material by adopting spherical particles, and performing contrast verification by adopting an extinction efficiency factor and a quality extinction coefficient obtained by 100 times of operation of a BPCA agglomeration model.
The equivalent spherical particles are adopted, and the numerical deviation between the calculation of the mass extinction coefficient and the calculation result of the mass extinction coefficient by adopting the non-spherical particle form is larger and is 5.874% -12.507%. The quality extinction coefficient is calculated by adopting the non-spherical particle morphology, so that the influence of the non-spherical particle morphology and the particle size distribution of the NP2301 non-spherical biological particle material on the extinction characteristic of an aggregate model of the NP2301 non-spherical biological particle material can be fully considered, and the extinction characteristic parameter of the NP2301 non-spherical biological particle material can be acquired more accurately.
Example 2
1. Preparing an AO0220 non-spherical biological particle material, and obtaining an SEM image of the AO0220 non-spherical biological particle material by using a scanning electron microscope test.
2. According to SEM images, particle morphology of AO0220 non-spherical biological particle material includes cylindrical (aspect ratio of 2:1), ellipsoidal (aspect ratio of 1.5:1) and rod-like (aspect ratio of 3:1), each accounting for 50%, 20%, 30%, and particle size is uniformly distributed between 2 micrometers and 3 micrometers. Setting the number of particles N as 40, and running the non-spherical biological particle aggregation model program 100 times to obtain an aggregation model of the AO0220 biological material.
3. And measuring the reflection spectrum of the sample material pressed sheet in the wave band of 2.5-25 mu m by using a Thermo Scientific Nicolet 8700 Fourier transform infrared spectrometer. Resolution is set to 0.5cm -1 The number of scans was set to 32, and the average value of the reflectances was obtained as the reflectance spectrum of the AO0220 non-spherical bio-particle material. And extrapolate the reflectance in the wavelength range of 0-2.5 μm and 25 μm to 1000 μm using a constant, i.eR(0~2.5μm)=R(2.5μm)，R(25~1000μm)=R(25 μm). The complex refractive index is calculated by the K-K relationship.
4. The extinction efficiency factor of the aggregate of the 8-14 micron far infrared band non-spherical biological particle material is calculated by using a DDA method in combination with the complex refractive index, and the density of the non-spherical biological particle material AO0220 is calculatedρ=0.875g/cm 3 The mass extinction coefficient of the non-spherical biological particle material AO0220 is obtained.
In the 8-14 micron wave band, the extinction efficiency factor of the aggregate model of the non-spherical biological particle material AO0220 is maximum value of 3.040 at the wavelength of 9.729 microns, and the corresponding mass extinction coefficient is 0.600m 2 And/g, the extinction performance is excellent.
And (3) approximating the non-spherical biological particle material by adopting spherical particles, and performing contrast verification by adopting an extinction efficiency factor and a quality extinction coefficient obtained by 100 times of operation of a BPCA agglomeration model.
Because the particle form of the non-spherical biological particle material AO0220 has larger deviation from the spherical particle, the spherical particle is equivalent, and when the mass extinction coefficient is calculated, the numerical deviation from the calculation result of the mass extinction coefficient by adopting the non-spherical particle form is 15.635% -21.548%. When the extinction characteristic parameters of the non-spherical biological particle material are calculated, when the non-spherical particle form is greatly different from the spherical particle form, and when the non-spherical form of part of particles is fully considered, the aggregate construction method of mixing and aggregating the non-spherical particle form is adopted, so that the extinction characteristic parameters of the non-spherical biological particle material can be better calculated, and the calculation result is more accurate.
The embodiment passes the infrared spectrum reflectivity test to determine the complex refractive index of the non-spherical biological particle material; determining various morphological particles of the non-spherical biological particle material and corresponding morphological parameters and particle numbers of each morphological particle by acquiring SEM images of the non-spherical biological particle material; generating a non-spherical set of biological particles by calling a particle generation function; determining an aggregate model of the non-spherical biological particle material by aggregating individual non-spherical biological particles in the collection of non-spherical biological particles; the extinction performance parameters of the aggregate model of the non-spherical biological particle material are calculated through the porosity and the complex refractive index of the aggregate model of the non-spherical biological particle material, so that the non-spherical morphology and the particle size distribution of the particles of the non-spherical biological particle material are reflected more truly, and the extinction performance parameter accuracy of the non-spherical biological particle material is ensured.
The above embodiment can be implemented by adopting the technical scheme given by the following embodiments:
a mat performance parameter determination system for a non-spherical bio-particle material, the mat performance parameter determination system comprising:
the testing module is used for carrying out infrared spectrum reflectivity test on the non-spherical biological particle material so as to determine the complex refractive index of the non-spherical biological particle material;
the first acquisition module is used for acquiring a scanning electron microscope image of the non-spherical biological particle material so as to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle;
the calling module is used for calling a particle generating function according to the morphological parameters and the particle numbers corresponding to each morphological particle so as to generate a non-spherical biological particle group;
a agglomeration module for agglomerating individual non-spherical biological particles in the collection of non-spherical biological particles to determine an agglomeration model of the non-spherical biological particle material;
a second acquisition module for acquiring an equivalent radius, a porosity of an aggregate model of the non-spherical bio-particle material and a spatial position of each non-spherical bio-particle in the aggregate model;
and the calculating module is used for calculating the extinction performance parameter of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
Further, the test module includes:
the tabletting processing submodule is used for carrying out tabletting processing on the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
the infrared spectrum testing submodule is used for carrying out Fourier transform infrared spectrum testing on the tabletting of the non-spherical biological particle material to obtain the reflection spectrum of the non-spherical biological particle material;
and the complex refractive index calculation submodule is used for calculating the complex refractive index of the non-spherical biological particle material according to the reflection spectrum of the non-spherical biological particle material by adopting a Kramers-Kronig relation.
Further, the aggregation module includes:
a condensation space calculation sub-module, configured to obtain a spatial maximum scale of each of the non-spherical biological particles in the non-spherical biological particle set, so as to calculate a condensation space of the non-spherical biological particles;
the first release submodule is used for selecting one non-spherical biological particle from the non-spherical biological particle set and releasing the non-spherical biological particle to the central position of the non-spherical biological particle aggregation space to serve as an initial aggregate;
the second release submodule is used for selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and sequentially carrying out random rotation and random movement after releasing the non-spherical biological particle to the random position of the aggregation space until the non-spherical biological particle is contacted and tangent with the initial aggregation to form a new aggregation;
a judging sub-module for judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material; if not, the new aggregate is transferred as the initial aggregate to a second release sub-module.
Further, the second obtaining module includes:
an equivalent radius calculation sub-module for calculating an equivalent radius of the aggregate model of the non-spherical biological particle material;
a radius of gyration calculation sub-module for obtaining the center position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material;
and the porosity calculation submodule is used for calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
Further, the computing module includes:
an equivalent complex refractive index calculation sub-module for calculating an equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
a conversion sub-module for converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and the extinction performance parameter calculation sub-module is used for calculating the extinction performance parameters of the aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
The principles, formulas and parameter definitions related to the above embodiments are applicable, and are not described in detail herein.
Note that the technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be regarded as the scope of the description. The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The method for determining the extinction performance parameter of the non-spherical biological particle material is characterized by comprising the following steps of:
s1, carrying out infrared spectrum reflectivity test on an aspheric biological particle material to determine the complex refractive index of the aspheric biological particle material;
s2, acquiring a scanning electron microscope image of the non-spherical biological particle material to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle;
step S3, according to the morphological parameters and the particle numbers corresponding to each morphological particle, a particle generating function is called to generate non-spherical biological particle groups;
step S4, agglomerating each non-spherical biological particle in the non-spherical biological particle set to determine an agglomerate model of the non-spherical biological particle material;
s5, acquiring equivalent radius, porosity and spatial position of each non-spherical biological particle in an aggregate model of the non-spherical biological particle material;
and S6, calculating extinction performance parameters of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
2. The method of determining extinction performance parameters according to claim 1, wherein in said step S1, said specific process of determining the complex refractive index of said non-spherical bio-particle material comprises:
step S11, tabletting the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
s12, carrying out Fourier transform infrared spectrum test on the tabletting of the non-spherical biological particle material to obtain a reflection spectrum of the non-spherical biological particle material;
and S13, calculating the complex refractive index of the non-spherical biological particle material by adopting a Kramers-Kronig relation according to the reflection spectrum of the non-spherical biological particle material.
3. The method of determining a matting property parameter according to claim 2 wherein in step S4, the specific process of the condensation comprises:
step S41, obtaining the space maximum scale of each non-spherical biological particle in the non-spherical biological particle set so as to calculate the aggregation space of the non-spherical biological particles;
s42, selecting one non-spherical biological particle from the non-spherical biological particle set, and releasing the non-spherical biological particle to the central position of the aggregation space to serve as an initial aggregate;
s43, selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and releasing the non-spherical biological particle to a random position of the aggregation space, and then sequentially carrying out random rotation and random movement until the non-spherical biological particle is in contact with and tangent to the initial aggregation to form a new aggregation;
step S44, judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material, and ending; if not, the new aggregate is returned to step S43 as the initial aggregate.
4. A method for determining a matting property parameter according to claim 3 wherein in step S5 the specific process of obtaining the porosity of the aggregate model of the non-spherical bio-particle material comprises:
step S51, calculating the equivalent radius of an aggregate model of the non-spherical biological particle material;
step S52, obtaining the central position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material, so as to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material;
and step S53, calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
5. The method for determining extinction performance parameters according to claim 4, wherein the specific implementation procedure of step S6 comprises:
step S61, calculating the equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
step S62, converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and step S63, calculating extinction performance parameters of an aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
6. A mat performance parameter determination system for a non-spherical bio-particle material, the mat performance parameter determination system comprising:
the testing module is used for carrying out infrared spectrum reflectivity test on the non-spherical biological particle material so as to determine the complex refractive index of the non-spherical biological particle material;
the first acquisition module is used for acquiring a scanning electron microscope image of the non-spherical biological particle material so as to determine various morphological particles of the non-spherical biological particle material and morphological parameters and particle numbers corresponding to each morphological particle;
the calling module is used for calling a particle generating function according to the morphological parameters and the particle numbers corresponding to each morphological particle so as to generate a non-spherical biological particle group;
a agglomeration module for agglomerating individual non-spherical biological particles in the collection of non-spherical biological particles to determine an agglomeration model of the non-spherical biological particle material;
a second acquisition module for acquiring an equivalent radius, a porosity of an aggregate model of the non-spherical bio-particle material and a spatial position of each non-spherical bio-particle in the aggregate model;
and the calculating module is used for calculating the extinction performance parameter of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the porosity of the aggregate model of the non-spherical biological particle material, the spatial position of each non-spherical biological particle in the aggregate model and the complex refractive index of the non-spherical biological particle material.
7. The matting performance parameter determination system according to claim 6, wherein the test module comprises:
the tabletting processing submodule is used for carrying out tabletting processing on the non-spherical biological particle material to obtain a tablet of the non-spherical biological particle material;
the infrared spectrum testing submodule is used for carrying out Fourier transform infrared spectrum testing on the tabletting of the non-spherical biological particle material to obtain the reflection spectrum of the non-spherical biological particle material;
and the complex refractive index calculation submodule is used for calculating the complex refractive index of the non-spherical biological particle material according to the reflection spectrum of the non-spherical biological particle material by adopting a Kramers-Kronig relation.
8. The matting performance parameter determination system according to claim 7, wherein the coalescing module comprises:
a condensation space calculation sub-module, configured to obtain a spatial maximum scale of each of the non-spherical biological particles in the non-spherical biological particle set, so as to calculate a condensation space of the non-spherical biological particles;
the first release submodule is used for selecting one non-spherical biological particle from the non-spherical biological particle set and releasing the non-spherical biological particle to the central position of the non-spherical biological particle aggregation space to serve as an initial aggregate;
the second release submodule is used for selecting one non-spherical biological particle from the rest non-spherical biological particles in the non-spherical biological particle set, and sequentially carrying out random rotation and random movement after releasing the non-spherical biological particle to the random position of the aggregation space until the non-spherical biological particle is contacted and tangent with the initial aggregation to form a new aggregation;
a judging sub-module for judging whether each non-spherical biological particle in the non-spherical biological particle set is released, if so, taking the new aggregate as an aggregate model of the non-spherical biological particle material; if not, the new aggregate is transferred as the initial aggregate to a second release sub-module.
9. The matting performance parameter determination system according to claim 8, wherein the second acquisition module comprises:
an equivalent radius calculation sub-module for calculating an equivalent radius of the aggregate model of the non-spherical biological particle material;
a radius of gyration calculation sub-module for obtaining the center position coordinates of each non-spherical biological particle in the aggregate model of the non-spherical biological particle material to calculate the radius of gyration of the aggregate model of the non-spherical biological particle material;
and the porosity calculation submodule is used for calculating the porosity of the aggregate model of the non-spherical biological particle material according to the equivalent radius and the gyration radius of the aggregate model of the non-spherical biological particle material.
10. The matting performance parameter determination system according to claim 9, wherein the calculation module comprises:
an equivalent complex refractive index calculation sub-module for calculating an equivalent complex refractive index of the aggregate model of the non-spherical biological particle material according to the complex refractive index of the non-spherical biological particle material and the porosity of the aggregate model of the non-spherical biological particle material;
a conversion sub-module for converting the aggregate model of the non-spherical biological particle material into a periodically arranged dipole lattice according to the spatial position of each non-spherical biological particle in the aggregate model;
and the extinction performance parameter calculation sub-module is used for calculating the extinction performance parameters of the aggregate model of the non-spherical biological particle material by adopting a discrete dipole approximation method according to the dipole lattice, the equivalent complex refractive index and the equivalent radius.
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