S. V. Dvoynishnikov, V. V. Rakhmanov, I. K. Kabardin, V. G. Meledin, D. O. Semenov
Kutateladze Institute of Thermophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: diameter measurement, telecentric optics, digital image processing
A projection shadow method for measuring the diameter of cylindrical objects under conditions of a limited dynamic range of a photodetector is proposed. The method involves the use of telecentric optics and an incoherent light source. The method is based on determining the position of the edge of the object in the image based on the position of the maximum of the derivative of the intensity dependence. Theoretical and experimental estimates of the error of the proposed method are carried out. The error of measuring the diameter of cylindrical objects at the level of 0.3 * 10⁻⁵ has been achieved. The result obtained confirms the efficiency and prospects of the proposed method.
A. S. Kuchyanov, V. A. Sorokin, P. A. Chubakov, S. L. Mikerin
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: sensor, ammonia, interference, correlation
Two methods for measuring the optical response to ammonia of a sensor based on film opal-like silica materials are proposed, and the corresponding devices have been developed. The explanation of the selective response of the sensor to ammonia associated with its high solubility in water has been experimentally confirmed. Experimental results have been obtained on operation of such a sensor with ammonia concentrations from several ppm to 20vol.% with fast response.
Yu. V. Chugui1,2,3 1Technological Design Institute of Scientific Instrument Engineering, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia 2Novosibirsk State University, Novosibirsk, Russia 3Novosibirsk State Technical University, Novosibirsk, Russia
Keywords: Fresnel and Fraunhofer diffraction, Fourier optics, spectra of extended objects, volumetric hole, optical dimensional inspection
Based on the model of equivalent diagrams, the Fraunhofer diffraction patterns (spectra) of extended (in depth) asymmetric slit-type holes with absolutely absorbing inner faces and different input (D) and output (D1) apertures are calculated in the far field zone. The behavior of the spectrum of an extended object is studied analytically in the case of differences in apertures 2÷Dç =÷D1-Dç noticeably smaller than the size of the Fresnel zone dd = Öld (l is the light wavelength, and d is the hole depth). It is shown that, in the range of angles ÷qç<< qкр= Öl/d, the observed diffraction pattern of an extended object is equivalent to the diffraction of light by a flat slit (d=0) with an effective width Deff=D+D-qd /(Ö2p). On the basis of a constructive approximation of the Fresnel integral function, the features of light diffraction by volumetric holes, whose apertures differ significantly from each other: 2÷Dç>> dd, are studied analytically. Calculations have shown that, in the cases of expanding (D1> D) and narrowing (D1< D) apertures, the behavior of the minima of the observed diffraction patterns in the angle ranges ÷qç<÷qDç= ÷Dç/d differs only slightly from the equidistant behavior for a flat slit (d =0) with widths D and D1, respectively. The results obtained can be used in the development of optoelectronic systems for dimensional inspection of plates with holes.
D. S. Sorokoletov1, Ya. V. Rakshun1, F. A. Daryin1, A. A. Gogin2
a:2:{s:4:"TYPE";s:4:"HTML";s:4:"TEXT";s:193:"1Budker Institute of Nuclear Physics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia 2National Research Center “Kurchatov Institute,”, Moscow, Russia";}
Keywords: x-ray optics, polycapillary lens, controllable retuning of the confocal volume, spread function, approximation, extreme function
We have made an attempt to give an exact quantitative description and generalization for the specification of the spatial distribution of the x-ray polycapillary lens' spread function for different cases of the quality of its adjustment along angular and lateral coordinates. We have conducted series of experiments on defining the lens' spread function around the spatial areas whose offset from the focal point along the axial coordinate is large. As a result of analyzing results, we have proposed two approximation models for fitting the spread function with potentially good accuracy in the most appropriate cases of polycapillary lens' adjustment. We have demonstrated that the proposed models are universal and agree with the experimental distribution of the spread function with high accuracy by an example of a detailed analysis of three series of experiments on defining the spread function within large spatial areas after three different cases of polycapillary lens' adjustment.
D. G. Milovzorov, V. Kh. Yasoveyev
Ufa State Aviation Technical University (USATU), Ufa, Russia
Keywords: magnetometric gradiometric system, three-component fluxgate converter, three-component accelerometric converter, mathematical models, three-component magnetometer
The article deals with the layout of magnetometric gradiometric systems using three-component fluxgates and three-component accelerometric converters. These transducers are also widely used in attitude measurement systems. Basic mathematical models of three-component magnetometers included in the gradiometer structure are proposed, which are suitable for the ideal location of the three-component transducer in the device case. A diagram of the actual arrangement of fluxgates in the gradiometer bogy is shown, and the deviation angles of their sensitivity axes from the basis axes of the device are presented. Refined mathematical models of three-component fluxgate transducers are presented taking into account the angles of deviation of the their sensitivity axes. A technique for calibrating a three-component magnetometer with mechanical turns of the fluxgates on verification devices, installations (rotary tables) is proposed, which makes it possible to set and accurately monitor the required angles of spatial orientation of the device body. The errors of a three-component fluxgate converter are estimated by the method of computational experiment - computer simulation.
S. V. Sokolov1, V. A. Pogorelov2, A. A. Manin1, K. T. Lomtatidze1 1Moscow Technical University of Communications and Informatics, Rostov-on-Don, Russia 2Don State Technical University, Rostov-on-Don, Russia
Keywords: mobile radio beacon, difference-rangefinder measurements, GPS measurements, small-sized unmanned aerial vehicles, navigation parameters, nonlinear filtering
The solution of the problem of determining the coordinates of a radio beacon (including a mobile one) in real time using difference-rangefinder measurements taken by a grouping of small-sized unmanned aerial vehicles (UAV) is considered. To form this solution, the following equations are successively derived: equations describing the dynamics of changes in the navigation parameters of the UAV grouping and observers of these parameters based on GPS measurements, equations of motion of the mobile radio beacon and the observer of its navigation parameters, and, at the final stage, algorithms for filtering the UAV motion parameters by satellite measurements and the beacon motion parameters by measurements taken at the UAV. Numerical simulation of the filtering algorithms has shown the possibility of high-precision determination of the coordinates of a mobile radio beacon using the proposed approach.
S. N. Tereshchenko, A. L. Osipov, E. D. Moiseeva
Novosibirsk State University of Economics and Management, Novosibirsk, Russia
Keywords: wide fraction of light hydrocarbons, artificial intelligence, machine learning, gradient boosting, CatBoost, linear regression, pipeline
The approach of applying machine learning methods for prediction of the component composition of the wide fraction of light hydrocarbons in pipeline transportation is investigated. The CatBoost library is used for building a machine learning model that allows the component composition of the mixture to be predicted with an error value of 2.263 by the MAPE metric.
S. I. Vyatkin, B. S. Dolgovesov
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: function-based surface, perturbation functions, rendering, constructive solid geometry (CSG), 3D-Web visualization, WebGL
Methods of interactive modeling and visualization of functionally defined objects with the help of a web browser using HTML5 and WebGL are proposed. An application for high-realism models has been developed, which is able to work with an interactive frame rate in real time. The user will be able to instantly change the appearance of the data by manipulating various display properties available through the user interface on the screen. Functional descriptions of objects that allow determining time-dependent geometric shapes, their appearance, and transformations using perturbation functions are proposed and implemented.
S. S. Abdurakipov1, N. V. Kiryukhina2, E. B. Butakov1 1Kutateladze Institute of Thermophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia 2Tsiolkovsky Kaluga State University, Kaluga, Russia
Keywords: machine learning, boiling heat transfer crisis, bubble boiling crisis, critical heat flux density
The paper presents a comparative analysis of various machine learning algorithms for solving the problem of predicting the heat transfer crisis during boiling in two-phase flows inside channels of various geometries. Twelve classical regression models implemented in the Scikit-learn, LightGBM, XGBoost, and CatBoost libraries, as well as neural network methods are considered. The models are compared with each other, as well as with traditional forecasting methods based on the use of skeletal tables, approximate semi-empirical ratios, and correlation formulas. Possibilities of hybrid models that combine the approach based on domain knowledge with machine learning algorithms are discussed. The results of experiments with a model that combines the CatBoost regressor with one of the traditional methods in a hybrid scheme are presented. The advantage of machine learning models over the traditional approaches is revealed. It is shown that the best performance for all metrics among machine learning models can be achieved by using ensembles of algorithms based on gradient boosting.
A. F. Revuzhenko
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630091 Russia
Keywords: 3D model, energy dissipation, effective packing
The author presents a 3D structured packing with a coordination index equal to 8 to replace effectively a real-life random packing of particles. The notions of vectors of principal stresses and plastic strain rates are introduced. 3D equations of plastic deformation are constructed. They fulfill the model adequacy requirement-zero energy dissipation in the medium of perfectly smooth particles. In the presence of internal friction, the equations lead to a nonassociated flow rule.