The results of assessing the tensile strength and interlayer shear strength of basalt plastics manufactured by vacuum infusion technology using an epoxy binder with an anhydride hardener are presented. After the manufacture of basalt plastics, they were kept for 60 days in ordinary and sea water, in an alkali solution, under ultraviolet irradiation, as well as under thermal cycling. As a result of the research, it was found that alkaline environments have the greatest influence of all the studied working factors (tensile strength is reduced by 32

The results of an experimental evaluation of the influence of the geometric form of the tubes used for supplying a binder under the molding of parts using vacuum infusion on the flow uniformity of the binder front and on the phase composition of a composite material have been presented. The epoxy binder and basalt fabric were used as initial materials. Three types of tubes for supplying the binder have been considered, namely, regular, spiral, and special (in the form of a distribution stripe). We have presented the schemes of their installation, the patterns of the binder front movement, the results of an expert evaluation of the quality of the impregnation process, and the results of determining the phase composition and interlaminar shear strength. It has been established that the use of a spiral tube and distribution stripe makes it possible to reduce the difference in the phase composition of the basalt–plastic at the sites of installation of the tubes for the input and output of binders makes it possible to obtain the highest values of interlaminar shear strength.

This paper analyzes the dataset to identify the patterns in the dataset. Fetal health classification dataset has been taken for analysis. The study touches the fields of medicine such as obstetrics and mortality in it. Currently, there is high maternal and fetal mortality at birth due to limited resources, which could have been prevented. One of the most accessible and simple means of assessing fetal health is the cardiogram (CGT). It can be used to make a diagnosis while still in the womb and prevent death. A dataset containing fetal CGT data was taken as the dataset under study. It consists of 521 records and 23 attributes, among which are: initial fetal heart rate; number of accelerations per second; number of fetal movements per second; number of uterine contractions per second; number of LD per second; number of SD per second; number of PD per second; percentage of time with abnormal short-term variability; mean value of short-term variability; percentage of time with abnormal long-term variability; mean value of long-term variability; width of the histogram constructed using all the values of the histogram; and the width of the histogram constructed using all the values of the histogram; maximum histogram value; number of peaks in the study histogram; number of zeros in the histogram; Hist mode; Hist mean; Hist variance; Hist trend; fetal condition: 1 - normal 2 - suspicious 3 - pathologic; information attribute - patient ID. Data analysis is performed using decision tree, Kohonen maps and neural networks.

This paper presents a study of the application of the YOLOv8 model for object detection in images using Ultralytics and Roboflow libraries. Deep learning in computer vision is one of the most actively developing areas in modern technologies, allowing to automate the processes of analysis and recognition of objects in images. The YOLO (You Only Look Once) model is one of the most effective and widely used methods for real-time object detection. The study covers the main steps of working with the YOLOv8 model, from installing and configuring the necessary libraries and development environment, to training the model on the provided data and evaluating its performance. We present a detailed analysis of the training process, including selection of optimal hyperparameters, tuning of training parameters and data augmentation.

The methodology and results of the assessment of the adhesive strength of the fiber—matrix system are presented. Carbon and basalt fibers were used, a composition of epoxy resin and an amine hardener was used as a polymer matrix. The results of strength tests for assessing the adhesive strength by the pull-out method are presented, using two types of samples: macro and micro, differing in the accuracy of determining the contact area between the fiber and the polymer matrix. It has been established that the values of adhesive strength when testing micro-samples, for the manufacture of which elementary fibers were used, are lower, but the accuracy of its determination is significantly higher than when using macro-samples.

The article presents an overview of modern data analytics methods and techniques used in forecasting tasks and considers key aspects of using data analytics in the context of the hospitality industry. The hospitality industry is particularly dependent on accurate forecasts, as effective management of occupancy, pricing, and guest service is critical to the successful operation of hotels. The application of data analytic techniques to forecast various phenomena and events and to assess the quality of forecasts is emphasized. The application of such techniques can reduce costs, increase revenue, and improve overall guest satisfaction.

An experimental assessment results of residual stresses magnitude, which was carried out using the cantilever method using plates made of carbon, glass, and basalt plastics as elastic substrates, are presented. The same type of epoxy binder was used in the fabrication of samples and in the fabrication of an elastic substrates. This work shows the dependence of the residual stress values on the curing mode. It was found that the residual stresses for basalt plastics are lower than those for glass and carbon plastics and that they are characterized by a lower relaxation rate.

The paper considers the method of testing the elementary fiber-polymer matrix system. Results of determining the following adhesive characteristics are provided: apparent and local adhesive strength, start and end in the adhesive destruction of the fiber-matrix joint under study. Basalt fiber and epoxy matrix based on the epoxy resin and amine hardener are considered as the study objects. Influence of the samples geometric characteristics on their adhesive characteristics is established. The paper shows that at the depth of the elementary fiber emersion in the polymer matrix equal to 200 µm, the scatter of all determined adhesive characteristics is significantly reduced.

New superconstructional polyarylates with glass transition temperatures from 216 to 280°C and polyethersulfones with glass transition temperatures from 230 to 255°C have been developed. On the basis of these polymers, industrial polysulfone PSFF-30, PSF-150, polyethersulfone E-3010, polyetherimide Ultem 1000, PEEK and PEKK, and two types of carbon fabrics, thermoplastic prepregs and consolidated carbon composite plates were obtained, and their mechanical properties under compression and three-point bending were determined.

This paper presents the results of a study of random copolyethersulfone sulfides based on 4,4-dichlorodiphenylsulfone, 1,1-dichloro-2,2-di(4-hydroxyphenyl)ethylene, and sodium sulfide. The synthesis of copolyethersulfone sulfides with different ratios of polyethersulfone and polyphenylenesulfone sulfide units was carried out by high-temperature polycondensation by the reaction of nucleophilic substitution in N,N-dimethylacetamide medium and using potassium carbonate as an alkaline agent. The effect of the solvent used on the yield and reduced viscosity of polyethersulfone sulfides was studied. It has been shown that polymers with high reduced viscosity can be obtained in N,N-dimethylacetamide and N,N-dimethylformamide. The growth dynamics of the reduced viscosity of polyethersulfone sulfides was also studied depending on the ratio of sulfone and sulfide groups. The solubility of these polymers in various solvents has been studied.

The goal of this work is to automate the defect detection system for PET preforms production. For this purpose, it is necessary to consider the machine vision method, which has hardware and software structures that include many technical components. The software in turn includes two parts: one is used in the computer for image processing and the other for controlling the mechanical components of the system. However, this is a very expensive and time-consuming process due to the collection of large amounts of information with labeled defect samples. As shown, this technology can improve the scope, efficiency, quality and reliability of industrial inspection, which in turn leads to a number of advances in modern industry. Also, the company is able to increase its productivity, reduce the cost of defect controllers’ salaries, increase profits, and avoid creating situations in which equipment will be idle.

Composite materials based on a polymer mixture -low density polyethylene and polybutylene terephthalate -have been obtained and investigated. To improve the compatibility of two thermodynamically incompatible polymers, a compatibilizer was used, which is polyethylene modified with maleic anhydride. It was found that the compatibilization of the polymer mixture low density polyethylene/polybutylene terephthalate, leads to a significant change in the basic physical and mechanical characteristics of the composite. It is shown that the introduction of compatibilizer leads to an increase in the viscosity of the polymer mixture, which is caused by a change in the density of molecular entanglements. In turn, compatibilized composites are inferior in hardness to noncompatibilized composites. It was found that changes in the morphology of composites upon compatibilization lead to an improvement in the strength of the material. It was shown that the plasticity of the polymer mixture increases upon compatibilization, which makes it possible to improve the dissipative capabilities of the material.

This article discusses the use of construction site safety shaping software to prevent the various hazards that can haunt workers at a construction site. For this purpose, various methods will be considered, among them: PLANRADAR software, which is able to ensure monitoring of all stages of work and prevent many errors; BIM technology, able to show a full-scale model of the project both as a whole and in sections; intelligent camera systems, able to perform analytics and analysis with the help of specialized artificial intelligence and machine learning. As shown, such technologies can increase the level of compliance and safety control at a construction site through constant monitoring of both workers and construction sites. Safety violations are minimized and traumatic situations are prevented before they occur.

A neural network approach to the segmentation of photos for carbon fiber reinforced polymer structures with the purpose of qualitative and quantitative fault analysis was considered. The object of study was carbon-fiber-reinforced polymer (CFRP) based on an epoxy binder. Such a composite material was molded with an organosilicon sealant additive, which acted as a “liquid” matrix. A method of formalizing the microstructure photo segmentation problem and a method of training a neural network were presented.

A technique of sample preparation and the results of evaluation of adhesive strength using the pullout method have been presented. Carbon and basalt fibers have been used as fillers, and epoxy material has been used as a polymer matrix. The use of elementary carbon and basalt fibers with a diameter of 5 and 15 μm, respectively, is a feature of these tests. A list of the main technological errors arising in the manufacture of samples has been given, and methods for their elimination have been proposed. The results of strength tests on the assessment of adhesive strength determined by the pullout method and with interlayer shear have been presented.

Thermoplastic polyetherimides and copolyimides have significant practical application due to their ability to be processed via solutions and melts even though they are slightly inferior to more common aromatic polyimides. The article covers main synthesis methods of such polymers with technological properties improved compared to polyimides, and potential for their application for reinforced composite materials.

The results of conducted controlled synthesis of thermoplastic high-performance polyether sulfones with different molecular weight are presented. It is shown that control of reaction time with other synthesis parameters being fixed makes it possible to synthesize polyether sulfones with desired molecular weight and hence viscosity of their melts. The latter is important for making high quality thermoplastic prepregs reinforced with carbon fiber.

A complex stabilizer based on a mixture of calcium and zinc stearates was developed, which was used to replace the tribasic lead sulphate in the formulation of cable polyvinyl chloride plasticate. The influence of a complex stabilizer on the basic physical and mechanical properties of cable polyvinyl chloride plasticate is investigated. It was found that the use of a complex stabilizer in the formulation of cable polyvinyl chloride plasticate does not lead to a decrease in the thermal, technological and operational characteristics of the material. It is shown that the thermal properties of the cable compound containing a complex stabilizer remains at the level of the original plastic. This is due to the ability of the complex stabilizer to effectively bind hydrogen chloride released during the destruction of the polymer matrix. It is established that the cable polyvinyl chloride plasticate containing in the formulation of a complex stabilizer in its mechanical characteristics is not inferior to the industrial compound, and in some respects surpasses it.

A review of works, including papers by the authors, dedicated to aromatic polysulfones that have been chemically modified by the main macrochain is presented. Methods of synthesizing copolymers and block copolymers with increased thermal stability via using new initial compounds are described. The potential of application of the modified polysulfones to create thermostable filled composite materials is demonstrated.

The article presents an overview of the world trends in the development of the tailored fiber placement technology (TFP), which allows to obtain volume-reinforced preforms for layered composites with increased physical and mechanical properties. Primary factors hindering the large-scale implementation of the TFP process in mass production are identified. The main achievements and capabilities of the technology are presented and promising research directions for its further development are proposed.