Computer Simulation Method Research Articles

Hydrodynamic processes in designing diamond drilling tools

Relevance. The rational choice of drilling tools is one of the components of a positive result of exploration, mining, drilling operations. The function of a complex solution of problems arising when drilling wells is assigned to a modern drilling tool. Today there is a great variety of designs of rock cutting drilling tools. However, scientific achievements in improving the material and technical production base contribute to the development of drilling technology and creation of new, more efficient tool designs. The most promising and effective in various mining conditions is a diamond drilling tool. During the operation of such a tool, flushing fluid circulation is of great importance, especially in the bottomhole zone of the well being constructed. When designing the structures of a diamond rock cutting tool, it is necessary to take into account not only the strength, cutting, and stabilizing properties, but also the possibility of an effective fluid flow in its circulation system, i.e. without flow energy consumption to overcome resistance, with sufficient capacity for cuttings removal and the necessary level of cooling, lubrication and implementation of other functions of the flushing fluid, which contribute to improving drilling results. At the same time, modern methods of designing a drilling tool should take into account the influence of the drilling fluid, its properties, and the nature of the flow on the rock destruction mechanism, i. e. require a thorough study of the nature of the fluid flow in the contact zone of the tool cutters with the rock. The article proposes the position of considering the design of a diamond drilling tool cutting surface from the point of view of the influence of hydrodynamic processes on the nature of cutters rock interaction. The results of the study of both the author herself and well-known world manufacturers of diamond drilling tools are given as arguments. Aim. To study the influence of the design features of the existing diamond drilling tool on the nature of the fluid flow in the bottomhole zone of the well during drilling. Objects. Designs of diamond drilling tools, hydrodynamic processes associated with drilling. Methods. Analytical method, computer simulation method. Results. Differences in fluid circulation in certain types of diamond drilling tools are determined. The zones of the diamond rock-cutting tool are distinguished. They differ in the nature of the fluid flow. Directions for reducing hydraulic resistance in the bottomhole zone of the well due to changes in the design features of the drilling tool were established.

Industrial environmental control of polycyclic aromatic hydrocarbons in organic fuel combustion product

RELEVANCE of this study lies in the computational justification of the choice of the installation location of a multipoint sampling probe in the measuring section of the flue of boiler plants of energy enterprises and thermal power plants that have a significant negative impact of emissions on the environment, in order to increase the reliability and representativeness ofinstrumental measurements during industrial environmental control (PEC) of polluting emissions (PE). PURPOSE. Improving the environmental safety of thermal power plants in the current conditions of the introduction of state principles of technological regulation of emissions is associated with the establishment of technological emission indicators for each source of atmospheric pollution at energy enterprises with a significant negative impact on the environment. In this regard, energy enterprises should carry out round-the-clock monitoring of PE, which requires reliable instrumental control of the content of marker substances in the combustion products of power boilers by determining a representative sampling point on the flue or chimney of an energy boiler installation. METHODS. The paper uses methods of computer simulation of gas dynamics to determine the local fields of concentration of PE and flow velocity and assess their unevenness in the flue of an energy boiler. RESULTS. Using the example of an operating energy boiler plant of a thermal power plant, a control section of the flue was determined to ensure industrial environmental control of marker substances in the combustion products of organic fuels. The average values of the concentration of PE and the flow rate of combustion products of local fields in the calculated sections and their values on the longitudinal axis of the boiler flue are determined, and their uneven distribution is estimated. CONCLUSION. The obtained research results can be used at energy enterprises and thermal power plants to justify the choice of a control representative measuring section for conducting a PEC, and to develop an environmental efficiency improvement program (EEIP).

Heat transfer coefficient simulation and temperature distribution prediction of wire loops in the Stelmor air‐cooling system

AbstractDuring the Stelmor air‐cooling process, the temperature distribution has a significant impact on the wire loops' final mechanical properties. The temperature distribution during the air‐cooling process is accurately solved by establishing three‐dimensional model and numerical simulations. The heat transfer coefficient at the highly dense region is much smaller than that of wire loops at the low dense region, and changes periodically over time, according to a computational fluid dynamics simulation method. It is also found that the heat transfer coefficient on the cross‐section of the wire loop is very different, with a difference of 70–100 W/m2 K. Finally, the finite difference method is used to calculate the mathematical model of the temperature distribution during the Stelmor air‐cooling process. Comparing the results with the measurement data, the simulation results and measurement data match up well.

Computational analysis of anionic dyes adsorption on the kaolinite (001) surface: Combination of quantum chemical calculations and molecular simulation methods

Clay minerals are increasingly used to remove dyes from wastewater. In recent times, computational simulation methods have become indispensable for investigating the adsorption mechanisms of dyes on clay surfaces at the molecular level. This study investigates the adsorption features of two acid dyes, namely acid blue 25 (AB25) and acid red 88 (AR88), on the (001) surface of kaolinite in an aqueous medium using density functional theory (DFT), Monte Carlo (MC), and molecular dynamics (MD) simulations. Quantum chemical parameters (QCPs) show that the AB25 molecule exhibits higher reactivity compared to the AR88 molecule. As well, analysis of the sigma profile reveals a moderate polarity of the two dye molecules studied in comparison with the water molecule. The low-energy adsorption configuration of AB25 and AR88 molecules show that each molecule is oriented parallel to the (001) surface of kaolinite over short distances. The adsorption energies indicate that the kaolinite (001) surface has high affinity towards AB25 in comparison with the AR88 molecule (Eads(AB25) = -926.01 Kcal.mol−1; Eads(AR88) = -742.08 Kcal.mol−1), which was supported by analysis of the self-diffusion coefficient (SDC) values (SDCAB25 = 7.79 × 10-10 m2.s−1; SDCAR88 = 1.4 × 10-9 m2.s−1). Additionally, calculation of the radial distribution function of the oxygen and nitrogen atoms of AB25 and AR88 molecules show the contribution of these atoms in the chemical interactions that take place with the (001) surface of kaolinite. The adsorption mechanism of the investigated dye molecules may be influenced by both donor–acceptor and van der Waals interactions. The theoretical results from this study could be useful for better understanding the adsorption mechanisms of other acid dyes on clay minerals.

Acoustic Evaluation of Trabzon Beşirli Central Tennis Court Multi-Purpose Hall

Today, although acoustic designs for different purposes are not realized in sports halls designed for sports activities, these halls are widely used for various events such as conferences and concerts. In this study; The main activity area in the Beşirli Central Tennis Court building, which was built for sports activities within the scope of the European Youth Games in Trabzon Province, was evaluated in terms of acoustics for different functional uses by computer simulation method. First of all, 3D models were prepared for the current conditions of the main sports event areas according to different audience occupancy rates. Then the models were transferred to the simulation program to evaluate the objective parameters of the sound. After obtaining the objective parameter values of the sound, 3D models of the hall were prepared again with the sound-absorbing mechanisms placed between the existing steel structural system on the ceiling plane of the hall, designed for the realization of sports, music and speech activities in the sports activity areas. The prepared 3D models were transferred to the ODEON V10 program and the simulation process was repeated. As a result of all simulations, the values of the objective parameters of the sound obtained for indoor sports activity areas were compared and evaluated with each other and the accepted optimum value ranges.

Calculations of Absolute Free Energies, Enthalpies, and Entropies for Drug Binding.

Computer simulation methods can aid in the rational design of drugs aimed at a specific target, typically a protein. The affinity of a drug for its target is given by the free energy of binding. Binding can be further characterized by the enthalpy and entropy changes in the process. Methods exist to determine exact free energies, enthalpies, and entropies that are dependent only on the quality of the potential model and adequate sampling of conformational degrees of freedom. Entropy and enthalpy are roughly an order of magnitude more difficult to calculate than the free energy. This project combines a replica exchange method for enhanced sampling, designed to be efficient for protein-sized systems, with free energy calculations. This approach, replica exchange with dynamical scaling (REDS), uses two conventional simulations at different temperatures so that the entropy can be found from the temperature dependence of the free energy. A third replica is placed between them, with a modified Hamiltonian that allows it to span the temperature range of the conventional replicas. REDS provides temperature-dependent data and aids in sampling. It is applied to the bromodomain-containing protein 4 (BRD4) system. We find that for the force fields used, the free energies are accurate but the entropies and enthalpies are not, with the entropic contribution being too positive. Reproducing the entropy and enthalpy of binding appears to be a more stringent test of the force fields than reproducing the free energy.

Visual performance as a factor of increase performance in ball shooting

The article examines the question of the effectiveness of the factor of visual performance on indicators of technical training of shooters of different levels. In particular, the indicator of the average length of the aiming trajectory during the performance of the competitive exercise AP-3 on the electronic simulator "Scatt" was studied. The purpose of the article: to justify the need to use indicators of visual performance when analyzing the technical characteristics of a shot, obtained on the basis of the use of the optoelectronic simulator "Scatt". The methodological basis of the study was a systematic approach, which allows considering the aiming phase as a complex functional system of constant sensory control over the shooter's precise movements. The research used the method of computer simulation of the execution of a shot based on the use of an electronic simulator. To study visual performance, the correction test method was used. To assess visual productivity, which characterizes working capacity, the Weston formula was used, which calculated the quality and speed of visual work, as well as its integral index. The scheme of the ascertainment experiment consisted in the parallel collection of data on indicators of technical readiness and visual performance when performing the competitive exercise AP-3 (AP-60 according to the international classification) on the " Scatt " simulator. Correction sheets were filled out before and after the mentioned competitive exercise. The scientific novelty consists in substantiating the significance of the factor of visual performance as a stable sensory ophthalmoergonomic basis of the predictor of the average length of the aiming trajectory.

Discovery of lupus nephritis targeted inhibitors based on De novo molecular design: comprehensive application of vinardo scoring, ADMET analysis, and molecular dynamics simulation

Lupus Nephritis (LN) is an autoimmune disease affecting the kidneys, and conventional drug studies have limitations due to its imprecise and complex pathogenesis. Therefore, the aim of this study was to design a novel Lupus Nephritis-targeted drug with good clinical due potential, high potency and selectivity by computer-assisted approach.NIK belongs to the serine/threonine protein kinase, which is gaining attention as a drug target for Lupus Nephritis. we used bioinformatics, homology modelling and sequence comparison analysis, small molecule ab initio design, ADMET analysis, molecular docking, molecular dynamics simulation, and MM/PBSA analysis to design and explore the selectivity and efficiency of a novel Lupus Nephritis-targeting drug, ClImYnib, and a classical NIK inhibitor, NIK SMI1. We used bioinformatics techniques to determine the correlation between lupus nephritis and the NF-κB signaling pathway. De novo drugs design was used to create a NIK-targeted inhibitor, ClImYnib, with lower toxicity, after which we used molecular dynamics to simulate NIK SMI1 against ClImYnib, and the simulation results showed that ClImYnib had better selectivity and efficiency. Our research delves into the molecular mechanism of protein ligands, and we have designed and validated an excellent NIK inhibitor using multiple computational simulation methods. More importantly, it provides an idea of target designing small molecules. Communicated by Ramaswamy H. Sarma

Cover: Journal of the Chinese Chemical Society 03/2024

In this figure, the computer simulation method has been adopted to explore promising composite fiber/cotton/colorant materials those possess the characteristic of anti‐near‐infrared radiation (NIR) reflectance. More details about this figure will be discussed by Dr. Min‐Hsien Liu and his co‐workers on page 277‐291 in this issue.image

Daylight Diagram – A Method to Map and Analyse the Temporal Conditions of Daylight Intensity

This study proposes and examines a new method and diagram for revealing and analysing temporal and transitional daylight conditions based on computational modelling and simulations. For a human to experience and decipher the world, daylight is a predominant resource to engage with the surroundings. With humans spending the prevalent time inside buildings, it is important to understand and design the daylight environments in the early phases of design processes. The aim is to retain and reveal the information of high-resolution simulations and to explore, test and verify the capacities of the method in comparison to Illuminance, Daylight Factor and Daylight Autonomy values. The research design uses digital modelling and representation techniques combined with computational simulation methods for daylight analysis, evaluation and communication. Eight digital test cases show that the proposed Daylight Diagram enables the observation of temporal daylight dynamics. The proposed method and diagram employ existing simulation systems, allowing a fast integration and use in early-phase design processes as a key instrument to design advanced daylight phenomena and conditions focusing on transitional and temporal daylight intensities.

Modification of nitrilase based on computer screening and efficient biosynthesis of 4-cyanobenzoic acid.

4-cyanobenzoic acid serves as a crucial intermediate for the synthesis of various high-value organic compounds. The enzymatic hydrolysis of terephthalonitrile to produce 4-cyanobenzoic acid using nitrilase offers the advantages of a simple reaction pathway, environmental friendliness, and easy product separation. In order to efficiently develop nitrilases that meet industrial production requirements, the virtual screening method used in the study is established and mature. From a total of 371 amino acids in the nitrilase AfNIT, which exhibits activity in terephthalonitrile hydrolysis, three candidate sites (F168, S192, and T201) were identified, and a "small and accurate" mutant library was constructed. The triple mutant F168V/T201N/S192F was screened from this small mutant library with a specific activity of 227.3 Umg-1 , which was 3.8 times higher than that of the wild-type AfNIT. Using the whole-cell biocatalyst containing the mutant F168V/T201N/S192F, terephthalonitrile was successfully hydrolyzed at a concentration of 150gL-1 to produce 4-cyanobenzoic acid with a final yield of 170.3gL-1 and a conversion rate of 98.7%. The obtained nitrilase mutant F168V/T201N/S192F in this study can be effectively applied in the biomanufacturing of 4-cyanobenzoic acid using terephthalonitrile as a substrate. Furthermore, the results also demonstrate the significant improvement in predictive accuracy achieved through the latest AI-assisted computer simulation methods. This approach represents a promising and feasible new technological pathway for assisting enzyme engineering research, laying a theoretical foundation for other related studies.

A pulse oximeter for measuring the blood oxygenation level considering the carboxyhemoglobin concentration: principles of development, computer model and accuracy assessment

The main method for estimating the level of arterial blood oxygenation is pulse oximetry, which has the advantages of being fast, simple, reliable, and non-invasive. However, in well-known pulse oximeters, oxygen saturation is determined only by hemoglobin functional fractions, which reduces the device accuracy and is unacceptable in certain clinical cases. The known pulse oximeter improvement that considers the dysfunctional fraction concentration, especially carboxyhemoglobin, when measuring the level of blood oxygenation is an actual scientific and technical task. The research subjects. Mathematical, algorithmic, and technical support of a pulse oximeter that measures blood oxygenation levels considering the carboxyhemoglobin concentration. Objective. To expand the pulse oximeter functionality to consider the concentration of carboxyhemoglobin in arterial blood. Methods. Methods of computer simulation for developing a model and estimating the pulse oximeter accuracy that measures the blood oxygenation level considering the carboxyhemoglobin concentration. Results. The theoretical statements of measuring the level of blood oxygenation considering the carboxyhemoglobin concentration and the simplest pulse oximeter structural diagram for measuring are developed. An additional LED used in the pulse oximeter is proposed, and the wavelength choice is justified on the condition of maximizing the carboxyhemoglobin contribution to the optical density of the biological object. Computer models of a traditional pulse oximeter and a pulse oximeter with an additional LED were developed, simulation research was conducted using the developed models, and the device accuracy for measuring the level of blood oxygenation was estimated considering the carboxyhemoglobin concentration. Conclusions. Simulation studies based on the developed models show that the proposed pulse oximeter, compared with the known one, allows determining and estimating a decrease in blood oxygenation caused by the carboxyhemoglobin concentration increasing in the patient’s blood. Considering that light is also absorbed by the third derivative of hemoglobin, carboxyhemoglobin, increases the accuracy of the proposed pulse oximeter in measuring functional saturation.

The Significance Of The Computer Simulation Method In Medical Education

Today's task of education is to teach students to be able to work independently in the informationeducational conditions that are improving day by day, to use the flow of information wisely. Comprehensive reforms in the structure of the educational system will be strengthened by teachers by mastering advanced pedagogical technologies and using them in the educational process. For this, pedagogues are required to learn and apply the technological approach to the educational process. With the wide development of advanced technologies, in recent years, new pedagogical clinical work-game technologies have been effectively used to optimize education in medical universities.

In silico Toxicity and Pharmaceutical Properties to Get Candidates for Antitumor Drug

Background: Drug metabolism is a crucial aspect of medical practice and pharmacology, involving the transformation of drugs by various bodily systems to create compounds that are more easily eliminated from the body. Sorafenib was reported as a useful adjuvant treatment in patients with hepatocellular carcinoma who underwent surgical resection. However, poor pharmacokinetic properties such as limited water solubility, rapid elimination and metabolism lead to low bioavailability, restricting its further clinical application. Rosmarinic acid, soluble in ethanol and found in Rosemary leaves, has demonstrated therapeutic benefits in conditions such as cancer, diabetes, inflammatory disorders, neurodegenerative disorders, and liver disease. 
 Method: In silico is a term for experiments or tests carried out using computer simulation methods. In silico testing has emerged as a valuable approach for initiating the exploration of novel drug compounds or enhancing the efficacy of existing ones. This method involves predicting, generating hypotheses, and uncovering potential breakthroughs in medicine and therapy through virtual simulations.
 Results: Caco2 value of Sorafenib ligand as a comparison, namely 0.762. The highest Caco2 value is owned by Betulinic Acid and the value The lowest Caco2 is owned by Rosmarinic Acid. The highest sample HIA value was owned by Ursolic Acid and the lowest was owned by Rosmarinic Acid. Meanwhile, Sorafenib's HIA value is 85,494. ligands such as Carnosol and rosmanol have a high distribution volume, while the Sama carnosic league, ursolic acid and betulinic acid have a low distribution volume. The Rosmarinic acid ligand has a good distribution volume of 0.393, while the distribution volume value of Sorafenib is -0.009. The highest BBB sample value was owned by Carnosol and the lowest was owned by Rosmarinic acid. Meanwhile, the comparison ligand has a value of -1.473 and is considered less distributed in the brain. all ligands such as Carnosic Acid, Carnosol, Rosmanol, Ursolic Acid, Betulinic Acid, Rosmarinic acid do not have mutagenicity and Cytotoxic effects, but have an effect on immunity. The comparison ligand Sorafenib turned out to have effects on hepatotoxicity, immunity and cytotoxicity.
 Conclusion: In pharmacokinetic research, the six phenolic acid compounds in Rosemary exhibited superior properties compared to the reference ligand Sorafenib.

Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation.

The time scales of long-time atomistic molecular dynamics simulations are typically reported in microseconds, while the time scales for experiments studying the kinetics of amyloid fibril formation are typically reported in minutes or hours. This time scale deficit of roughly 9 orders of magnitude presents a major challenge in the design of computer simulation methods for studying protein aggregation events. Coarse-grained molecular simulations offer a computationally tractable path forward for exploring the molecular mechanism driving the formation of these structures, which are implicated in diseases such as Alzheimer's, Parkinson's, and type-II diabetes. Network Hamiltonian models of aggregation are centered around a Hamiltonian function that returns the total energy of a system of aggregating proteins, given the graph structure of the system as an input. In the graph, or network, representation of the system, each protein molecule is represented as a node, and noncovalent bonds between proteins are represented as edges. The parameter, i.e., a set of coefficients that determine the degree to which each topological degree of freedom is favored or disfavored, must be determined for each network Hamiltonian model, and is a well-known technical challenge. The methodology is first demonstrated by beginning with an initial set of randomly parametrized models of low fibril fraction (<5% fibrillar), and evolving to subsequent generations of models, ultimately leading to high fibril fraction models (>70% fibrillar). The methodology is also demonstrated by applying it to optimizing previously published network Hamiltonian models for the 5 key amyloid fibril topologies that have been reported in the Protein Data Bank (PDB). The models generated by the AI produced fibril fractions that surpass previously published fibril fractions in 3 of 5 cases, including the most naturally abundant amyloid fibril topology, the 1,2 2-ribbon, which features a steric zipper. The authors also aim to encourage more widespread use of the network Hamiltonian methodology for fitting a wide variety of self-assembling systems by releasing a free open-source implementation of the genetic algorithm introduced here.

Research on the application of computer in drug design

Virtual screening by computer is of great scientific significance for drug research and development. In recent years, a large number of computer simulation methods have been developed and applied to drug development for a variety of diseases. This paper summarized and prospected the application progress of computer aided drug design (CADD) in the research and development of new drugs, focusing on the working principle of CADD, related algorithms, and the advantages and disadvantages of existing methods. Although CADD has been successfully applied to a number of drug development projects, the accuracy of auxiliary drug structure optimization is still not high. Therefore, it is urgent to develop more accurate and efficient CADD models and algorithms to promote the process of new drug discovery.

Analysis and modeling of radio propagation fading characteristics in tunnel construction

With the development of underground rail transit, the concept of intelligent tunnel construction has been proposed and promoted. High-quality networking during tunnel construction is a prerequisite for this, making it highly urgent to establish networking during tunnel construction. When studying intra-tunnel networking, it is necessary to consider the propagation characteristics of radio waves in the tunnel. In this paper, according to the actual needs of engineering in tunnel construction and the characteristics of tunnel scenes, an improved ray tracing method is proposed, which considers the type and installation position of antennas, transceiver frequency band and power in channel modeling, and proposes a field strength calculation method under different coordinate systems according to the characteristics of straight and curved segments during tunnel construction. In addition, the propagation characteristics of radio waves in dynamic tunnel construction scenarios are quantitatively analyzed. In this paper, by establishing antenna diagram, two-dimensional and three-dimensional models of tunnels, the computer simulation method is applied to compare with the improved algorithm, and the results have good consistency, in addition, the improved algorithm does not require a lot of modeling work in the early stage, and has high applicability and portability. Not only that, this paper also makes actual measurements of the subway under construction in Zhengzhou, China in different scenarios, and verifies the effectiveness of the method.

In Silico Human Cardiomyocyte Action Potential Modeling: Exploring Ion Channel Input Combinations.

In silico modeling offers an opportunity to supplement and accelerate cardiac safety testing. With in silico modeling, computational simulation methods are used to predict electrophysiological interactions and pharmacological effects of novel drugs on critical physiological processes. The O'Hara-Rudy's model was developed to predict the response to different ion channel inhibition levels on cardiac action potential duration (APD) which is known to directly correlate with the QT interval. APD data at 30% 60% and 90% inhibition were derived from the model to delineate possible ventricular arrhythmia scenarios and the marginal contribution of each ion channel to the model. Action potential values were calculated for epicardial, myocardial, and endocardial cells, with action potential curve modeling. This study assessed cardiac ion channel inhibition data combinations to consider when undertaking in silico modeling of proarrhythmic effects as stipulated in the Comprehensive in Vitro Proarrhythmia Assay (CiPA). As expected, our data highlight the importance of the delayed rectifier potassium channel (IKr) as the most impactful channel for APD prolongation. The impact of the transient outward potassium channel (Ito) inhibition on APD was minimal while the inward rectifier (IK1) and slow component of the delayed rectifier potassium channel (IKs) also had limited APD effects. In contrast, the contribution of fast sodium channel (INa) and/or L-type calcium channel (ICa) inhibition resulted in substantial APD alterations supporting the pharmacological relevance of in silico modeling using input from a limited number of cardiac ion channels including IKr, INa, and ICa, at least at an early stage of drug development.

Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method

Objectives. The article substantiates the relevance of automatic docking of autonomous mobile robots. Specific examples show that the implementation of the automatic docking functions of autonomous robots reveals the potential for creating multi-agent systems with a transformable structure. The aim of the work is to develop means for automatic docking of autonomous mobile robots in complex scenarios and an uncertain environment.Methods. The proposed approach to automating autonomous mobile robot docking is reduced to a modification of the counter-growth rapidly-exploring random tree (RRT) method. It is based on the parallel execution of a decentralized route planning algorithm with mutual coordination of distributed computing processes. The effectiveness of the complex of algorithmic and software tools developed was evaluated using computer and natural simulation methods. The final series of full-scale experiments was carried out on the example of JetBot AI kit Nvidia platforms for automatic docking of autonomous robots. This was performed using the means and methods of intelligent control, visual navigation, technical vision and wireless network communication.Results. The study analyzed the features of automatic docking as one of the tasks of group control of autonomous robots. This is part of multi-agent systems, capable of reconfiguring structures for purposeful changes to the existing set of functional properties and application possibilities. The study also proposes a decentralized modification of the counter-growth RRT method. This allows the movements of autonomous mobile robots in the course of their mutual approach and subsequent docking to be planned. A set of software-algorithmic tools was developed to automate the docking of autonomous robots. A series of model and full-scale experiments were carried out to confirm the effectiveness of the approach developed herein.Conclusions. The modification presented herein of the counter-growth RRT method, traditionally used for planning the movements of manipulators and mobile platforms, is complementary to the tasks it resolves. This enables the docking of autonomous robots to be automated. The results obtained open up the potential for universal schedulers with extended functionality for autonomous robot control systems to be designed.

Numerical and analytical solution of temperature distribution in foamed soy suspension during vacuum microwave drying

Objective. Technologies of vacuum dehydration of solutions in the microwave field are constantly developing in the direction of increasing the energy efficiency of the drying process and reducing the cost of target products. This scientific direction fully applies to vacuum microwave drying of soy suspension in a foamed state. In this regard, the most important task is to improve mathematical modeling, which provides significant assistance in the study of heat and mass transfer processes occurring in vacuum dryers with microwave power supply; in the design of new installations and the development of effective modes of their operation; the development of optimal modes of vacuum drying foamed soy suspension, taking into account thermophysical and electrophysical characteristics. Method. The research is based on computer simulation methods. Result. Using the results of previous studies, a mathematical apparatus was obtained for finding the temperature in a foamy product during vacuum microwave drying. Its difference from existing mathematical models lies in the possibility of using simple methods for analyzing differential equations with fewer unknown variables. A method of numerical and analytical solution of a mathematical model of the process of vacuum microwave drying of foamed suspension is proposed. Experimental verification showed quite satisfactory convergence of the simulation results with an error of 10-12%. Conclusion. The study of numerical methods for solving the formulated problem makes it possible to determine the temperature at any point of the soybean suspension, taking into account the thermophysical and electrical characteristics of the suspension in a wide range of operating parameters.