On the design and manufacturing of topologically optimized wings

Proença, Tiago; Afonso, Frederico; Lau, Fernando; Policarpo, H.; Lourenço, João

doi:10.1108/rpj-04-2021-0095

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Важливо зазначити, що відповідні типи БпЛА, які розглянуто в табл.1, спроєктовано і розроблено на основі застосування сучасних інформаційних технологій [23][24] таким чином, щоб забезпечити оптимальні аеродинамічні параметри, покращити працездатність та зменшити вагу літальних апаратів [25]. Саме ці фактори впливу надають можливість створити та ефективно застосовувати морські БпЛА, які використовуються для вирішення комплексних завдань спостереження і вогневого впливу.…”

Section: вступunclassified

Analysis of Application Possibilities and Classification of Unmanned Aerial Vehicles for the Support of Combat Operations of the Navy of the Armed Forces of Ukraine

Ivanchenko,

Kurdiuk,

Khatuntsev

et al. 2023

dndivsovt

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Nowadays, in the course of war between Ukraine and the russian federation, there is a large-scale employ of various weapon systems that are used on land, in the air, and at sea. Unlike the enemy, Ukraine Forces prefer to utilize asynchronous methods of armed struggle. In order to successfully implementation of these asynchronous methods is necessary used to contemporary unmanned aerial vehicles and unmanned air systems. It is known that at the beginning phase of the war the Ukrainian defenders were used unmanned aerial vehicles and unmanned air systems on the principle of “controlled chaos”. As a result of these active operations, the Ukrainian defenders could discourage and defeat enemy. Therefore, in order to secure effective usage of unmanned aerial vehicles and unmanned air systems it is necessary to introduce a clear hierarchy with clear classification features. This task is certainly relevant today for Ukrainian NAVY. It is the significant task, because the Ukrainian NAVY has some experience in the combat use of unmanned aerial vehicles and unmanned air systems, but they need its systematization and comprehensive implementation, taking into account the specifics of conducting combat operations at Black sea. At the same time, in order to improve functionality and effectiveness of the unmanned aerial vehicles and unmanned air systems the developers must apply information technologies such as, internet of military things, cloud technologies and artificial intelligence. For instance, if developers wanted to implementation of internet of military things technologies, they would be able to ensure intercommunication among different groups of aerial vehicles and simplify to control process of them. In the proposed paper, the authors tried to perform capabilities analysis of usage of different types unmanned aerial vehicles and unmanned air systems with various control systems and military categories based on the use of NATO standards. In addition, the authors performed this analysis considering different types Ukrainian NAVY ships and support vessels. Moreover, the authors of the paper also proposed a classification for unmanned aerial vehicles of Ukrainian NAVY.

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Section: вступunclassified

Analysis of Application Possibilities and Classification of Unmanned Aerial Vehicles for the Support of Combat Operations of the Navy of the Armed Forces of Ukraine

Ivanchenko,

Kurdiuk,

Khatuntsev

et al. 2023

dndivsovt

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“…One of the most important tasks when designing and building a UAV is to make sure the system is operational for as long as possible, which means increasing the endurance of the UAV. There are many methods used to solve this problem, such as designing UAV shapes with optimal aerodynamic parameters to reduce friction and aerodynamic drag or reducing the system weight of the UAV [19][20][21]. These methods have many advantages, but when they reach a certain stage, it is difficult to advance further.…”

Section: Introductionmentioning

confidence: 99%

The Study of Electrical Energy Power Supply System for UAVs Based on the Energy Storage Technology

et al. 2022

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Unmanned aerial vehicles (UAVs) are increasingly attracting investment and development attention from many countries all over the world due to their great advantages. However, one of the biggest challenges for researchers is the problem of supplying energy to UAVs to ensure they can operate for a longer time. Especially in the case of rotary wings, they consume more energy than other UAV types as the motors need to spend a lot of energy to operate in order to overcome the gravity of the earth. The article aims to research power supply, energy consumption on UAVs, and a method of taking advantage of external energy sources to provide power for the operation of UAVs and discuss UAVs’ structure, categories, and control. Two experiments were conducted separately to evaluate the energy consumption of UAVs and the energy conversion from external energy sources to electrical energy. A test bench was designed to evaluate and determine the maximum efficiency using regenerative braking mode. The measuring device was manufactured to measure the necessary parameters to calculate the energy consumption and performance of the system. Experimental numerical results show that energy conversion from external sources is one of methods that can help increase the flight time of the UAV.

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Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning

Wang,

Xu,

Zhang

et al. 2024

Vis. Comput. Ind. Biomed. Art

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This study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall process into three main sub-steps. The operating electrical power was further formulated as a combinatorial function, based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and EC. Parallel-arranged networks were constructed to investigate the impacts of fabrication variables and devices on power. Considering the interconnections among these factors, the outputs of the neural networks were blended and fused to jointly predict the electrical power. Most innovatively, large artifacts can be decomposed into time-dependent laser-scanning trajectories, which can be further transformed into fusionable information via neural networks, inspired by large language model. Accordingly, transfer learning can deal with either scale-down or scale-up forecasting, namely, FTL with scalability within artifact structures. The effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed fusion. The relative error of the average and overall EC predictions based on FTL was maintained below 0.83%. The melting fusion quality was examined using metallographic diagrams. The proposed FTL framework can forecast the EC of scaled structures, which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.

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On the design and manufacturing of topologically optimized wings

Cited by 3 publications

References 33 publications

Analysis of Application Possibilities and Classification of Unmanned Aerial Vehicles for the Support of Combat Operations of the Navy of the Armed Forces of Ukraine

Analysis of Application Possibilities and Classification of Unmanned Aerial Vehicles for the Support of Combat Operations of the Navy of the Armed Forces of Ukraine

The Study of Electrical Energy Power Supply System for UAVs Based on the Energy Storage Technology

Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning

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