250 results about "Particle Size Analyzer" patented technology

The invention provides an intelligent control method and system for a lithium carbonate preparation process, and the method comprises the steps: collecting the temperature field, ion concentration, feeding flow velocity and turbulence intensity data of a reaction kettle through a sensor array, and generating a state feature vector through multivariate analysis; inputting the feature vector into a depth prediction model to output a particle size distribution probability cloud picture and an impurity trend; inputting the probability cloud picture and the impurity trend into a multi-target optimizer to generate a temperature compensation value, a feeding correction coefficient and a stirring adjustment instruction; inputting the instruction into an anti-interference execution module and converting the instruction into an equipment driving signal; actual crystal data are obtained through an online particle size analyzer, and the prediction model is updated; and outputting a closed-loop optimization instruction to the execution terminal through the digital twin platform. The product consistency and the production stability are synchronously improved through full-process closed-loop intelligent control, and reliable technical support is provided for continuous production of battery-grade lithium carbonate.

The invention belongs to the technical field of image processing, and particularly relates to an ore grinding and screening monitoring method and system based on image particle size analysis, and the method comprises the steps: collecting an ore image, generating a distance transformation diagram, and constructing an extreme value topology network; calculating the relative topology significance of adjacent maximum value points, and constructing a peak-valley independence index in combination with the spatial distance; performing iterative fusion on the maximum value points based on the peak-valley independence index to obtain a final mark set; and performing watershed segmentation by taking the final mark set as a seed, calculating ore particle size cumulative distribution, extracting a characteristic particle size index, and adjusting grinding process parameters according to the characteristic particle size index. Through the combined constraint of the relative topology saliency and the peak valley independence index, the method can adapt to multi-scale features and effectively eliminate the interference of the surface texture of the ore, solves the problem of over-segmentation caused by rough surface in the traditional method, and realizes the real-time optimization, energy conservation and consumption reduction in the grinding process.

The invention provides an ore particle granularity detection device and method based on a flexible vibration disk, and the device comprises the flexible vibration disk which is used for vibrating an ore material at a certain frequency and amplitude, so that the ore material is uniformly distributed and is in a proper posture; the image acquisition device is used for continuously shooting the ore materials on the flexible vibration disc to obtain ore images; the image processing device is used for carrying out preprocessing, segmentation, feature extraction and particle size analysis on the ore image and outputting the ore particle size distribution condition and an accumulative distribution curve; and the result output device is used for displaying the ore image and the granularity analysis result. According to the invention, while material accumulation is prevented, real-time, accurate and efficient detection of attitude distribution of ore materials is realized, and the method has the advantages of low cost of detection equipment, easy maintenance, strong interference resistance, high accuracy and stability of detection results, and the like.

The invention relates to the technical field of molten salt treatment, and discloses a molten salt recovery system based on a steel belt cooling granulator. The system comprises a molten salt physical property monitoring module, a viscosity modeling module, a cooling optimization module, a partition temperature control module, a phase change monitoring module, a dynamic adjustment module, a particle size analysis module, a quality grading module, a pneumatic conveying module and a waste heat recovery module. The progressive crystallization control of the molten salt particles is realized; a heat pipe type heat exchanger and an organic Rankine cycle system are integrated at the waste heat recovery end, so that comprehensive energy consumption is reduced; the environment regulation and control end monitors the workshop temperature and humidity in real time based on a dew point calculation model, and the long-term stability of hygroscopic fused salt particles is guaranteed. According to the method, four technical bottlenecks of out-of-control crystallization, energy waste, classification loss and environmental interference in fused salt recovery are overcome, and low-cost, high-purity and zero-waste fused salt resource recycling is realized.

The utility model relates to the technical field of powder metallurgy, in particular to a superfine tungsten powder reduction rotary furnace which mainly comprises a furnace body, a heating wire, a support, a furnace tube component and a detection component. The design of the spiral lifting plate is optimized in different reaction stages, the reduction efficiency is improved, the oxygen content of the tungsten powder is reduced, the spiral lifting plate is not arranged in the cooling section, the rotation resistance is reduced, then the power consumption of the motor is reduced, the tungsten powder is cooled by arranging reverse hydrogen, the reverse hydrogen is heated and transmitted to the deoxidation section, and the oxygen content of the tungsten powder is reduced. The energy is further saved, the tungsten powder is prevented from growing up, the laser particle size analyzer is arranged to detect the particle size of the tungsten powder in real time, the process is rapidly adjusted, quality deviation is avoided, the recovery rate of the tungsten powder is improved, and the situations that the powder particle size distribution is wide and deoxidation is not thorough are avoided.

The invention discloses a composite electric field catalytic oxidation synergistic oil and gas field produced water treatment method which comprises the following steps: acquiring an electric flocculation effect generated by a corrosion-resistant titanium-based coating anode and a stainless steel cathode under optimized pulsed electric field parameters through a turbidity sensor and a particle size analyzer, and superposing low-frequency pulses in a composite pulse mode, maintaining the temperature of the reactor to be 20-40 DEG C in combination with a temperature control system to obtain initial floc particle size distribution and concentration data; the concentration state of the floc in the concentration tank is monitored by adopting a conductivity sensor according to the amount of the floc in the concentration tank treatment pollution discharge scheduling scheme, the content of remaining oil drops and suspended solids is analyzed in combination with an emulsion monitoring module, and the water quality parameter change of the concentration tank is recorded through a data analysis system, so that a final water quality treatment result is determined.

A method and a system for analyzing the particle size of fly ash are provided. The method includes performing drying treatment on the sample to ensure that the water content is lower than 0.5%; uniformly dispersing the particles by using ultrasonic wave or airflow dispersion technology; measuring the particle size by laser particle size analyzer to generate cumulative distribution curve; calculating the median particle size and specific surface area by cumulative distribution curve. The system of the disclosure has an automatic operation function, and may automatically complete sample treatment, particle size measurement, data analysis and result output. This method improves the accuracy of measurement and data processing, and is suitable for efficient analysis of a large number of samples, which has a wide industrial application prospect.

The invention discloses a small particle shape and granularity detection method based on an image. According to the method, an image device is combined with an object space telecentric lens to collect small particle images; performing target detection on the particles in the image by adopting an improved YOLOv9-CSA model to obtain a bounding box of the particles; inputting the bounding box as a prompt into the SAM2-PDA model, and generating an initial segmentation mask of the particles; for a particle aggregation scene, identifying and screening out single particle masks which are not shielded through a particle shape detection algorithm based on contour geometric features; and calculating the area and the equivalent circle diameter of the particles based on the screened masks, and finally obtaining accurate particle size distribution data such as D10, D50, D90, the average diameter and the total number of the particles. According to the method, through cooperative work of the constructed YOLOv9-CSA and SAM2-PDA and in combination with geometric feature particle screening, the precision and reliability of particle size analysis of the small particles are effectively improved, and an efficient and automatic solution is provided for industrial-grade particle size detection.

The invention discloses a method for accurately measuring the content of elements in fine mineral powder, and relates to the technical field of fine mineral powder separation and determination, and the method comprises the following steps: S1, Thai sieve classification and production control final analysis; s2, ultrasonic sedimentation and micro powder pre-domestication; s3, carrying out double-sample separate test and conditional detection; s4, carrying out dense time measurement and particle fraction separation; and S5, precipitating a combined wall-particle size assembly. According to the method, the minerals exist in a more appropriate particle state by optimizing field operation, and the grading effect is enhanced, so that the recovery effect of useful minerals is improved, the loss in tailings is reduced, and the problem of determining the content of particles with different sizes and the content of elements in the separation and detection of the micro-fine-particle-grade minerals is solved.

The invention discloses a method and a device for quantitatively characterizing the influence intensity of ancient volcanic activities, which can be used in the field of geophysical exploration, and the method comprises the following steps: determining the compaction recovery coefficient of vacant tuff according to the sorting coefficient and the current porosity; according to the compaction recovery coefficient and the thickness of the bare slice hollow falling type tuff, the original deposition thickness of the hollow falling type tuff is determined; according to the original deposition thickness and the number of layers of the empty tuff, determining the volcanic activity influence intensity of the to-be-detected area; wherein the sorting coefficient is the sorting coefficient of the empty tuff and is obtained by carrying out particle size analysis on a polished thin section; the current porosity is the current porosity of the empty tuff corresponding to the polished section and is obtained by measuring the porosity of the polished section; the thickness and the number of layers of the empty tuff corresponding to the bare slice are obtained by identifying the bare slice. According to the method, evaluation standards of the volcanic activity influence can be established, and the intensity of the volcanic activity influence on the to-be-detected area can be quantitatively represented.

The invention relates to a preparation method of a cement additive, which comprises the following steps: S1, selecting a mineral supplement, ultrafine powder, an anti-cracking agent, a reinforcing agent, a stabilizer and a moisture regulator according to a set proportion; uniformly mixing the mineral supplement, the superfine powder, the anti-cracking agent and the reinforcing agent; adding a stabilizer and a moisture regulator, and uniformly mixing; excessive moisture is removed in a vacuum drying mode; and carrying out particle size analysis on the treated cement additive. By optimizing the proportion of the mineral supplement, the superfine powder, the anti-cracking agent, the reinforcing agent, the stabilizer and the moisture regulator, the strength, the crack resistance, the impermeability and the fluidity of cement are improved, the compactness and the strength of the cement are improved by the nano-scale silicon dioxide and the calcium carbonate, the crack resistance and the toughness are improved by the anti-cracking agent and the reinforcing agent, the fluidity is improved by the stabilizer, and the strength of the cement is improved by the superfine powder. And the quality and uniformity of the cement additive are optimized by adopting vacuum drying and particle size analysis, so that the construction quality is improved, and the service life is prolonged.

The invention discloses a liquid particle cleanliness detector, and relates to the technical field of liquid detection.The liquid particle cleanliness detector comprises a machine shell, a cover plate is hinged to the outer side of the machine shell, a sensor shell is arranged on the outer side of the machine shell, an emitter is fixedly connected to one side of the sensor shell, and a receiver is fixedly connected to the other side of the sensor shell; the connecting pipe is fixedly communicated with the circulation channel of the sensor shell, a fixed round frame is arranged on the outer side of the machine shell, the fixed round frame is fixedly communicated with the bottom of the connecting pipe, and the outer side of the fixed round frame is fixedly communicated with a butt joint pipe; when detected liquid enters the defoaming mechanism on the outer side of the first rotating ring and the first rotating ring rotates, the defoaming mechanism eliminates bubbles in the rotating process, so that the liquid in the defoaming mechanism flows into the sensor shell through the connecting pipe to be detected, bubble interference is eliminated from the source, mistaken counting is effectively avoided, and the detection accuracy is improved. And the authenticity and accuracy of particle counting and particle size analysis results are ensured.

The invention relates to the technical field of composite materials, in particular to a method for quantifying the binding force of blended powder based on a laser particle analyzer, which comprises the following steps: dispersing to-be-measured blended powder containing first powder and second powder to enable part of the first powder and part of the second powder to fall off, the particle size of the first powder is larger than the particle size of the second powder; performing particle size analysis on the mixed powder by adopting a laser particle analyzer, recording particle size distribution data to obtain a particle size distribution curve, and analyzing the quantity proportion of the second powder in the mixed powder; and changing the dispersion method, re-dispersing the to-be-tested blended powder, analyzing the quantity proportion of the second powder under different dispersion methods, comparing the quantity proportion of the second powder under different dispersion methods, and evaluating the binding force of the first powder and the second powder. According to the method, the binding force of the to-be-tested blended powder adopting different dispersion methods under the same process route can be accurately represented from the microscopic level.

The invention discloses a carbon emission measuring and calculating device and method for ceramsite prepared through mechanical activation of multi-element solid waste in the technical field of solid waste utilization, and the device comprises a feeding end detection module which is arranged on a multi-element solid waste conveying belt at the feeding end of mechanical activation equipment and comprises an industrial camera, a laser particle size analyzer and an XRF analyzer, the detection module is used for detecting raw material characteristic parameters on line, and the raw material characteristic parameters at least comprise impurity data, particle size distribution data and component data; the discharge end detection module is arranged on the multi-solid waste conveying belt at the discharge end of the mechanical activation equipment, comprises a laser particle size analyzer and is used for detecting particle size distribution data after activation; and the central processing module is in communication connection with the feeding end detection module and the discharging end detection module, and a carbon emission prediction model and an optimization decision unit are arranged in the central processing module. According to the device, accurate prediction of carbon emission can be realized, the accuracy and credibility of carbon emission data are remarkably improved, and the standard reaching rate of carbon emission is remarkably increased.

The machine vision-based intelligent coal selection process coal particle size analysis method and system of the application relates to the technical field of machine vision, obtains scale images by shooting the coal sample particles to be measured from different perspectives; the scale image pixels are segmented, the optimal scale is calculated according to the local gradient amplitude and the local direction of the pixel points, the scale image is segmented into initial regions, the region area is adjusted, and the pixel points are updated; the known coal samples and the particle size values thereof are collected, the scale images and the morphological characteristics are obtained, the particle volume of the known coal samples is obtained, and a particle size estimation model is constructed; for the coal sample particles to be measured, the particle size value is predicted through the particle size estimation model, the image quality index is calculated, the weight of different particle size values is calculated, and the final particle size value of the coal sample particles to be measured is obtained; the particle size value range is obtained according to the final particle size value, the particle size interval is divided, the number of the coal sample particles to be measured is counted, the mass percentage of each particle size interval is calculated, the particle size distribution is obtained, and the precision of the particle size analysis is improved.

The utility model relates to the technical field of coating tests, and discloses a low-light particle size analyzer for a powder coating test, which comprises an analyzer body, the outer side of the analyzer body is fixedly connected with a frame body, a base is fixedly mounted in the frame body, the top of the base is fixedly connected with a uniform mixing barrel, and the uniform mixing barrel is fixedly connected with the bottom of the analyzer body. A vibration machine is fixedly installed in the base, a vibration excitation mechanism is fixedly installed on the outer side of the vibration machine, a vibration excitation rod is fixedly installed in the vibration excitation mechanism, a vibration excitation ball head is fixedly installed at the top end of the vibration excitation rod, an isolation layer is fixedly connected to the interior of the uniform mixing barrel, and a first pump body is fixedly installed on the inner wall of the uniform mixing barrel. The powder coating mixing device has the following advantages and effects that the powder coating at the top of the isolating layer and a lubricant can be fused and uniformly mixed, and the powder coating and the lubricant are uniformly mixed through excitation in the process, so that the damage to the essence of the powder coating is reduced, and the experiment quality is improved.

The invention discloses a mechanical friction spark temperature testing method based on multiple thermocouples and particle size analysis, which comprises the following steps of: 1, preparing a test piece, processing the surface of a friction test piece, and fixing an embedded thermocouple array in the test piece; secondly, dynamic pressure loading is conducted, and friction pressure is adjusted through a high-pressure air bottle and a piston type air cylinder; 3, synchronously monitoring multiple thermocouples, and arranging the thermocouples to synchronously acquire data; step 4, spark particle size capturing: a high-speed camera and a laser particle size analyzer are adopted to acquire particle size distribution and speed track of spark particles in real time; 5, temperature-particle size correlation correction is carried out, and a temperature attenuation model is established based on the specific heat capacity and the heat conductivity coefficient of spark particles; and step 6, data fusion output: fusing and outputting analysis results. A plurality of thermocouple arrays are arranged at the center and the edge of a friction interface and on a spark splashing path, and temperature data in the friction heat and spark cooling process are synchronously collected.

The invention belongs to the technical field of separation and collection, and discloses a smelting equipment smoke discharge and dust removal collecting device which comprises a base, an exhaust pipe is communicated with the upper portion of the other side of a cloth bag dust removal unit, and a cyclone separation unit comprises a conical mounting shell. A conveying pipe is fixedly connected to the middle of the conical mounting shell in a penetrating mode, an airflow auxiliary mechanism is fixedly mounted in the middle of the outer side of the conveying pipe and comprises a main mounting ring, a driving ring is arranged above the main mounting ring, a blade flow guide mechanism is mounted on the outer side of the driving ring, and a laser particle size analyzer is mounted on the inner wall of the conical mounting shell. The laser particle size analyzer monitors the particle size and other related parameters in the airflow in real time, transmits data to the central control system, and adjusts the angles of the nozzle and the guide vane and the wind speed of the nozzle, so that the rotation intensity and the flow path of the airflow are changed, and the efficient separation of the particles with different sizes is realized.

The invention relates to a preparation method of a flaky magnesium hydroxide flame retardant, belonging to the technical field of inorganic material preparation, and the preparation method of the flaky magnesium hydroxide flame retardant comprises two steps of precipitation method synthesis and epoxy coating. According to the obtained flaky magnesium hydroxide flame retardant, the particle size distribution tested by a laser particle size analyzer is that D10 is 0.022-0.034 [mu] m, D50 is 0.591-0.608 [mu] m, and D90 is 1.398-1.749 [mu] m, 40 wt% of the flaky magnesium hydroxide flame retardant is added into EVA, the limit oxygen index of the EVA is increased to 31.1-32.0%, and the UL94 vertical combustion grade can reach V-1.

The invention provides an aggregate particle size analysis method and system based on small sample statistics, and belongs to the technical field of aggregate particle size analysis. The computer collects image data of the aggregate through the high-resolution camera and carries out image preprocessing. And extracting feature information of the aggregate through an image processing algorithm. Training the small sample data by adopting a visual large model, and selecting an optimal model in a self-learning mode to obtain an aggregate detection model; and detecting the feature information of the aggregate through an aggregate detection model, outputting alarm information when the continuous particle size of the aggregate is too large, and counting the quantity of the aggregate with large particle size in the image and the proportion of the aggregate with large particle size in the total aggregate. The aggregate particle size is detected through the small sample training model.

The application belongs to the technical field of negative electrode materials, and particularly relates to a screening method of high-pressing-density hard carbon, the high-pressing-density hard carbon and a preparation method and application thereof. The application provides a screening method of high-pressing-density hard carbon, which comprises the following steps: testing the particle size of the to-be-tested hard carbon by using a laser particle size analyzer, obtaining a particle size distribution curve and a maximum particle size D max and a minimum particle size D min ; substituting any particle size in the particle size distribution curve into formula I to calculate an n value, X(D) = (D n -D min n ) / (D max n -D min n ) formula I; if the n value satisfies 1 / 3 < n < 1 / 2, the to-be-tested hard carbon is high-pressing-density hard carbon; the X(D) is a volume fraction of the particle size, and the value range is 1-100%; the D is the particle size of any particle size in the particle size distribution curve. The screening method provided by the application can obtain high-pressing-density hard carbon material.

This invention belongs to the field of granulation, specifically disclosing an automated water suspension granulation control method based on online particle size monitoring, comprising: Step 1, during the granulation process, using an online particle size analyzer to monitor the particle size in real time and plotting a real-time particle size growth curve over time; Step 2, based on the morphological characteristics such as the slope change points of the real-time particle size growth curve, automatically dividing the granulation process into three characteristic stages; Step 3, for each stage divided in Step 2, establishing a quantitative model between particle size growth and key process parameters; Step 4, based on the model's predictive and feedback control, executing closed-loop control in a new granulation batch. This invention also discloses an automated water suspension granulation control system. This method and system, through real-time feedback and dynamic adjustment, ensure that the granulation process of each batch follows the optimal growth trajectory, significantly reducing product quality differences between batches.

The application discloses a kind of based on particle size analysis calculation ore intelligent sorting system processing capacity method. Through the statistics of the number of ore particles when the maximum processing capacity of intelligent sorting machine, the quantitative particle size-processing capacity relationship model is constructed, and the processing capacity when the same equipment processes different particle size ores is calculated. The application establishes the quantitative relationship model of ore particle size and intelligent sorting machine processing capacity, breaks through the limitation of traditional empirical formula sorting, realizes the accurate prediction and optimization of processing capacity. The method takes the number of particles as the core control parameter, converts the equipment processing capacity from the quality dimension to the quantity dimension, effectively eliminates the processing capacity fluctuation caused by the density difference of different particle size ores, and provides a scientific basis for the process parameter optimization of intelligent sorting machine.

The present invention accurately estimates the lifetime of a support component by even considering the shape of foreign matter generated inside the support component, such as a rolling bearing for supporting a rotating body.　This lifetime estimation system, which estimates the lifetime of a component supporting a rotating body, executes: a particle size analysis step for analyzing a particle size distribution of foreign matter mixed in a lubricant supplied to the component; a shape analysis step for analyzing a shape composition ratio of the foreign matter mixed in the lubricant; a calculation step for determining the degree of contamination of the lubricant on the basis of the particle size distribution, and calculating a correction lifetime coefficient used for estimating the lifetime of the component on the basis of the degree of contamination; a calculation step for calculating a correction coefficient for correcting the correction lifetime coefficient on the basis of the shape composition ratio; and a correction step for synthesizing the correction coefficient with the correction lifetime coefficient to correct the correction lifetime coefficient.

The application relates to a high-strength diamond particle grading method and a grading system, and the grading method comprises the following steps: stress pre-weakening treatment is carried out on high-strength diamond particle raw materials; the treated diamond particles are sent into a multi-outlet grading airflow crusher for mutual collision and crushing, and initial particle size grading is carried out; online laser particle size analyzers are arranged at the outlets of the airflow crusher, and crushing parameters are adjusted according to particle size detection results; coarse particles that do not meet the standards are returned for circulation crushing; and products meeting the particle size requirements are collected from each discharge port. Through stress pre-weakening treatment, controllable micro-cracks or stress concentration zones are pre-set in the high-strength diamond, and the energy threshold required for crushing is greatly reduced. The application realizes real-time linkage of crushing and grading, establishes an integrated closed-loop system of crushing-grading-feedback-re-crushing, and realizes intelligent control of qualified products and coarse products. The application solves the problem that real-time closed-loop control of 'crushing-grading' cannot be realized for high-strength diamond.

The invention discloses an aripiprazole raw material particle size detection method, and belongs to the technical field of drug detection. Technical breakthrough is realized through specific detection instrument type selection, key parameter optimization and system verification process construction: a new ParaThak laser particle analyzer equipped with an R5 measuring lens, an RODOS / M dispersion system and a VIBRI sample injector is selected, a standardized parameter system with dispersion pressure of 3.0 Bar, a sample injection rate of 70% and optical concentration of 5%-10% is determined, and the measurement accuracy of the system is improved. A complete detection process is formed through sample amount exploration, repeatability and precision verification. According to the present invention, with the core idea of determining the optical concentration control standard, optimizing the sample amount matching concentration and verifying the reliability of the method, the problem of poor optical concentration repeatability is solved, the stability and the accuracy of the detection data are significantly improved, and the reliable detection means is provided for the quality control of the aripiprazole raw material.

A method for obtaining a corrected value for the diffusion coefficient of nanoparticles can be used to assist in the development of tumor drugs. The method disclosed herein includes the following steps: collecting tumor tissue samples; reconstructing the internal morphology of the samples using electron microscopy or nuclear magnetic resonance to obtain the three-dimensional structure of the samples; and analyzing and statistically analyzing the three-dimensional structure of the samples to obtain the porosity ε of the tumor tissue and the average diameter r of the tumor tissue cytoplasmic matrix fibers. f The average diameter r of nanoparticles within the cytoplasm of tumor tissue cells was obtained using a particle size analysis device. s A predictive model for the diffusion coefficient of nanoparticles was constructed, taking into account the porosity ε of the tumor tissue and the average diameter r of the tumor tissue cytoplasmic matrix fibers. f and the average diameter r of nanoparticles s Substitute the values ​​into the prediction model to obtain the predicted value of the diffusion coefficient of the nanoparticles; then correct the predicted value of the diffusion coefficient of the nanoparticles to obtain the corrected value of the diffusion coefficient of the nanoparticles.

This invention relates to the field of laser particle size analyzer technology, and more particularly to a method for measuring particle refractive index in a laser particle size analyzer. By modulating a solution containing particles of different concentrations as the measurement sample, and acquiring concentration measurement data sequences and scattered light intensity data sequences in real time, while dynamically adjusting the laser particle size analyzer parameters based on the real-time calculated signal-to-noise ratio and concentration variation coefficient, the method achieves the ability to acquire high-quality scattered light data under multiple concentration conditions. This effectively overcomes the data distortion problem that may occur in single-concentration measurements due to inter-particle complex scattering effects or weak signals. Through systematic concentration sequence design and real-time parameter optimization, a rich and reliable data foundation is provided for subsequent refractive index inversion, improving the accuracy and reliability of the measurement results. This method solves the technical problem that existing methods for determining particle refractive index mainly rely on experience, resulting in strong subjectivity and difficulty in guaranteeing accuracy.

The utility model discloses a laser particle size analyzer, which belongs to the technical field of laser particle size analyzers and comprises a laser particle size analyzer body, an automatic clamping mechanism and a stirring circulating mechanism, the automatic clamping mechanism is arranged on the front side of the laser particle size analyzer body, and the stirring circulating mechanism is mounted on the upper side of the automatic clamping mechanism. The automatic clamping mechanism comprises a bottom shell, a fixed base, a sliding column, a supporting plate, a first rotating plate, a second rotating plate and an arc-shaped plate, the bottom shell is arranged on the front side of the laser particle size analyzer body, the fixed base is fixedly installed on the front side of the interior of the bottom shell, the sliding column is slidably connected to the fixed base, and the supporting plate is arranged on the sliding column. The supporting plate is fixedly installed on the upper side of the sliding column, and the multiple first rotating plates are arranged on the upper side of the sliding column at equal intervals in a circumferential array mode. Through the mode, the sample tank can be quickly locked and unlocked, and samples can be continuously and circularly analyzed.

This invention relates to the field of black carbon aging research technology, and more particularly to an experimental apparatus for black carbon aging research, comprising: a sample introduction system, including a heating tube, a pretreatment tube, an oxidizing gas removal tube, and a drying tube connected in series; a black carbon coating device, including an injection assembly, a coating chamber, a first absorption chamber, a heating removal assembly, and a second absorption chamber connected in sequence; a detection system, connected to the first absorption chamber, the heating removal assembly, and the second absorption chamber; an integrated device, including a mounting box and an aerosol charging device, a first differential migration particle size analyzer, a second differential migration particle size analyzer, and a condensed particulate matter counter disposed within the mounting box; and a control system, disposed within the mounting box, for regulating the sample introduction system, the black carbon coating device, the detection system, and the integrated device. This invention improves the convenience of black carbon research.