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Authors: Tuleushova R.Zh., Zhіrnova O.V.
Number of magazine: №-3 (34) 2024

Abstract. The article examines the application of digital technologies in pilot training, with a focus on the use of simulators for unmanned aerial vehicles (UAVs). The aim of the research is to evaluate the effectiveness of simulators in the training of UAV operators and to identify their role in developing key professional skills. The study analyzes existing simulators and their application methods, as well as conducts a comparative analysis of their effectiveness compared to traditional training methods. The results show that simulators contribute to the accelerated acquisition of practical skills and reduce the risk of errors in real flights. The conclusion provides recommendations for improving training programs through the use of simulators and outlines directions for future research on the application of digital technologies in aviation education.

Key words: digital technologies, simulators, unmanned aerial vehicles, pilot training, aviation education, UAV operator training.

Authors: Donenko L.N., Dorenko I.L.,Donenko S.L.
Number of magazine: №-3 (34) 2024

Abstract. This article discusses an innovative approach to analyzing the condition of runways affected by various factors using fractal cluster analysis and unmanned aerial vehicles (UAVs). The main element is the use of fractal analysis and modern artificial intelligence technologies to identify and evaluate corrosion and other defects.

Keywords: fractal, UAV, aviation, concrete, bifurcation, airfield.

Authors: Maturazo I.S., Odamboev S.Q.
Number of magazine: №-3 (34) 2024

Abstract. This article analyzes the uniqueness of Boeing and Airbus aircraft, their structural structure, technological innovations, and manufacturing processes. It is analyzed how these companies differ from each other due to their different approaches to aerodynamics, automated processes, quality of passenger service and production efficiency. The main points that distinguish Boeing and Airbus from each other are analyzed, and the article provides detailed information about their contributions to the aviation industry.

Keywords: Boeing, Airbus, aircraft construction, technological innovation, production processes, market strategies.

Authors: Rysbekova A.A.,Abdimatova T.D.,Keribaeva T.B.,Suranchieva N.R.
Number of magazine: №-3 (34) 2024

Abstract. Aircraft hydraulic systems, especially on the Boeing 737 and Boeing 757 aircraft, are an integral part of their structure and operation. They play a key role in ensuring flight safety, cornering control, raising and lowering flaps, landing gear, and other important aspects of flight. The word” hydraulics “comes from the Greek word” water ” and originally meant the study of the physical behavior of water at rest and movement. Aircraft hydraulic systems ensure the operation of aircraft components. The operation of the chassis, rims, light steering and brakes is carried out mainly with the help of hydraulic power systems. In more detail, the comparative analysis of the Boeing 737 and Boeing 757 hydraulic systems is an important step in understanding and improving the technical characteristics and functionality of these models, which ultimately contributes to improving the quality and safety of aircraft transportation.

Key words: aircraft, design, hydraulic system, Pascal’s law, battery.

Authors: Рысбекова А.А., Абдиматова Т.Д., Керибаева Т.Б., Суранчиева Н.Р.
Number of magazine: №-3 (34) 2024

Аннотация. Гидравлические системы самолетов, особенно на самолетах Boeing 737 и Boeing 757, являются неотъемлемой частью их конструкции и эксплуатации.
Они играют ключевую роль в обеспечении безопасности полета, управлении поворотами, подъеме и опускании крышек, шасси и других важных аспектах полета. Слово ” Гидравлика “происходит от греческого слова” вода ” и первоначально означало изучение физического поведения воды в состоянии покоя и движения. Гидравлические системы самолетов обеспечивают работу компонентов самолета. Работа шасси, обручей, легких рулей и тормозов в основном осуществляется с помощью гидравлических силовых систем. Что касается подробностей, сравнительный анализ гидравлических систем Boeing 737 и Boeing 757 является важным шагом в понимании и совершенствовании технических характеристик и функциональности этих моделей, что в конечном итоге будет способствовать повышению качества и безопасности авиационных перевозок.

Ключевые слова: самолет, конструкция, гидравлическая система, закон Паскаля, аккумулятор.

Authors: Рысбекова А.А., Абдиматова Т.Д., Керибаева Т.Б., Суранчиева Н.Р.
Number of magazine: №-3 (34) 2024

Аннотация. Гидравлические системы самолетов, особенно на самолетах Boeing 737 и Boeing 757, являются неотъемлемой частью их конструкции и эксплуатации.
Они играют ключевую роль в обеспечении безопасности полета, управлении поворотами, подъеме и опускании крышек, шасси и других важных аспектах полета. Слово ” Гидравлика “происходит от греческого слова” вода ” и первоначально означало изучение физического поведения воды в состоянии покоя и движения. Гидравлические системы самолетов обеспечивают работу компонентов самолета. Работа шасси, обручей, легких рулей и тормозов в основном осуществляется с помощью гидравлических силовых систем. Что касается подробностей, сравнительный анализ гидравлических систем Boeing 737 и Boeing 757 является важным шагом в понимании и совершенствовании технических характеристик и функциональности этих моделей, что в конечном итоге будет способствовать повышению качества и безопасности авиационных перевозок.

Ключевые слова: самолет, конструкция, гидравлическая система, закон Паскаля, аккумулятор.

Authors: Saydumarov I.M., Boymanov I.J.

Abstract. The article discusses a high-speed taxiway in conditions of a seasonal increase in the flow of aircraft; a method for increasing the throughput efficiency of high-speed runways, which serves to increase the throughput efficiency of the runway, is determined based on the sum of the lengths of the section from the beginning of the aircraft runway to the point of contact with the ground and the length of the braking distance based on international requirements. As a result, an increase in the efficiency of the runway was achieved through the effective use of a high-speed taxiway in conditions of a seasonal increase in the flow of aircraft. Taking into account the conditions of a seasonal increase in the flow of aircraft in order to increase runway capacity, a method has been created to increase the capacity of high-speed runways. As a result, in the context of a seasonal increase in the flow of aircraft, it was possible to increase the efficiency of the runway due to the efficient use of the expressway by aircraft type.

Key words: Airfield, runway, efficiency, aviation, airport, aircraft, throughput.

Authors: Isgandarov I.А., Aliyev T.

Abstract: The paper looks into how onboard aircraft technology may negatively impact the efficiency of ATC operations. It specifically notes that secondary surveillance radars (SSRs) may experience interference from systems like the Airborne Collision Avoidance System (ACAS), Automatic Dependent Surveillance-Broadcast (ADS-B), and other related systems that operate on the same frequency band. The accuracy of radar data may be compromised by this interference, making it more difficult for ATC controllers to manage and monitor air traffic efficiently. Thus, the paper provides an overview of current problems and promising solutions in the noise immunity of ATC radar systems, emphasizing the importance of continuous improvement of technologies to ensure air traffic safety.

Keywords: air traffic control; radar interference; false radar indication; optimization of radar data; increasing the reliability of radar information; Neyman-Pearson criterion, radar detection, ACAS interference.

Authors: Zhіrnova O.V., Tuleushova R.Zh.

Abstract. The article analyzes the prospects of implementing intelligent flight management systems (IFMS) in Kazakhstan based on artificial intelligence (AI) technologies. The main methodological approaches are considered, including machine learning methods and deep neural networks for predicting emergency situations and optimizing flight trajectories. These approaches improve the safety and efficiency of aircraft management and reduce the risk of human error in complex conditions. The results of modeling and experimental data regarding navigation accuracy and response time to emergencies are presented, confirming the effectiveness of AI in flight management. Particular attention is given to the application of AI in automatic control and regulation systems to minimize the human factor in piloting. The obtained results can be applied in Kazakhstan’s aviation industry to enhance flight safety, reliability, and accuracy. In conclusion, the study outlines the development prospects of IFMS, such as integration with unmanned aerial vehicles and air traffic control systems in Kazakhstan.

Key words: artificial intelligence, intelligent systems, flight management, automation, instrumentation.

Authors: Saydakhmedov R.Kh.,Saidakhmedova G.R.

Abstract. Modern requirements for technologies and mechanical engineering products necessitate the creation of new technological methods for processing materials and the development of appropriate technical means. Promising are environmentally friendly vacuum, ion, beam and photonic processes for obtaining materials, applying various coatings, and creating multilayer structures. An urgent scientific and technical problem is the creation of devices and methods for processing materials, vacuum devices for producing composite materials and forming coatings. It is known that significant parameters of materials are determined by the properties of their surface layers, therefore surface treatment technology, including the application of coatings and the creation of complex structures based on them, is of great importance. Vacuum-thermal and plasma surface treatment processes are promising in this regard.

Key words: vacuum coatings, deposition, evaporation, condensation, magnetron sputtering.

Authors: Alekseyeva M.E., Alekseyev R.I.
Number of magazine: №-2 (33) 2024

Abstract. This article provides an overview of the evolution of bypass turbojet engines, examines the structure of modern commercial aircraft engines, the engineering solutions, materials and technologies used in their design. The study highlights the problems that arise when creating ultra-high bypass ratio engines, and also presents the prospects for their further energy efficiency increase. The authors conclude that the development of ultra-high bypass ratio aircraft engines, including propfan ones, is a key direction for achieving high efficiency, fuel economy and environmental friendliness of future aircraft propulsion systems.

Keywords: bypass turbojet engine, bypass ratio, power efficiency, turbofan aircraft engines, composites, propfan propulsion systems.

Authors: Isgandarov İ.A.,Karimov Y.A
Number of magazine: №-2 (33) 2024

Abstract: This paper explores the application of artificial intelligence (AI) systems to augment the information content and efficacy of remote-control operations for on-board systems in aircraft. With the aviation industry rapidly advancing towards automation and digitalization, there is a growing need for intelligent solutions that optimize remote control processes. This study investigates various AI techniques such as machine learning, deep learning, and natural language processing to analyze vast amounts of data generated by on-board systems. By leveraging AI, this research aims to enhance the efficiency, reliability, and safety of remote-control operations in aircraft. Additionally, the paper discusses challenges, potential benefits, and ethical considerations associated with implementing AI in aviation. Through a comprehensive examination of AI applications, this research contributes to advancing the integration of intelligent technologies in aircraft operations, paving the way for more autonomous and adaptive air transportation systems.

Keywords: Artificial Intelligence (AI), Aircraft Systems, Remote Control, Automation, Machine Learning, Deep Learning, Information Content Aviation, Safety, Efficiency.

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