• 제목/요약/키워드: Defense Technology

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Multiscale Finite Element Analysis of Needle-Punched C/SiC Composites through Subcell Modeling (서브셀 모델링을 통한 니들 펀치 C/SiC 복합재료의 멀티스케일 유한요소해석)

  • Lim, Hyoung Jun;Choi, Ho-Il;Lee, Min-Jung;Yun, Gun Jin
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.1
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    • pp.51-58
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    • 2021
  • In this paper, a multi-scale finite element (FE) modeling methodology for three-dimensional (3D) needle-punched (NP) C/SiC with a complex microstructure is presented. The variations of the material properties induced by the needle-punching process and complex geometrical features could pose challenges when estimating the material behavior. For considering these features of composites, a 3D microscopic FE approach is introduced based on micro-CT technology to produce a 3D high fidelity FE model. The image processing techniques of micro-CT are utilized to generate discrete-gray images and reconstruct the high fidelity model. Furthermore, a subcell modeling technique is developed for the 3D NP C/SiC based on the high fidelity FE model to expand to the macro-scale structural problem. A numerical homogenization approach under periodic boundary conditions (PBCs) is employed to estimate the equivalent behavior of the high fidelity model and effective properties of subcell components, considering geometry continuity effects. For verification, proposed models compare excellently with experimental results for the mechanical behavior of tensile, shear, and bending under static loading conditions.

A Study on the Methodology for Combat Experimental Testing of Future Infantry Units using Simulation (시뮬레이션을 활용한 미래 보병부대 전투실험)

  • Lim, Jong-Won;Choi, Bong-Wan;Yim, Dong-Soon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.429-438
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    • 2021
  • Owing to the development of science technology, particularly the smart concept and defense policy factors of the 4th industry, military weapon systems are advanced, and the scientific and operational force is reduced dramatically. The aspect of the future war is characterized by the operation of troops with reduced forces from advanced and scientific weapon systems in an operational area that has expanded more than four times compared to the present. Reflecting on these situational factors, it is necessary to improve combat methods based on the changes in the battlefield environment and advanced weapon systems. In this study, to find a more efficient future combat method in a changing war pattern, this study applied the battle experiment methodology using Vision21 war game model, which is an analytical model used by the army. Finally, this study aimed to verify the future combat method and unit structure. Therefore, the scenario composition and experiment method that reflect the change in the ground operational environment and weapon system was first composed. Subsequently, an analysis method based on the combat effectiveness was applied to verify the effective combat performance method and unit structure of future infantry units.

A Methodology of AI Learning Model Construction for Intelligent Coastal Surveillance (해안 경계 지능화를 위한 AI학습 모델 구축 방안)

  • Han, Changhee;Kim, Jong-Hwan;Cha, Jinho;Lee, Jongkwan;Jung, Yunyoung;Park, Jinseon;Kim, Youngtaek;Kim, Youngchan;Ha, Jeeseung;Lee, Kanguk;Kim, Yoonsung;Bang, Sungwan
    • Journal of Internet Computing and Services
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    • v.23 no.1
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    • pp.77-86
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    • 2022
  • The Republic of Korea is a country in which coastal surveillance is an imperative national task as it is surrounded by seas on three sides under the confrontation between South and North Korea. However, due to Defense Reform 2.0, the number of R/D (Radar) operating personnel has decreased, and the period of service has also been shortened. Moreover, there is always a possibility that a human error will occur. This paper presents specific guidelines for developing an AI learning model for the intelligent coastal surveillance system. We present a three-step strategy to realize the guidelines. The first stage is a typical stage of building an AI learning model, including data collection, storage, filtering, purification, and data transformation. In the second stage, R/D signal analysis is first performed. Subsequently, AI learning model development for classifying real and false images, coastal area analysis, and vulnerable area/time analysis are performed. In the final stage, validation, visualization, and demonstration of the AI learning model are performed. Through this research, the first achievement of making the existing weapon system intelligent by applying the application of AI technology was achieved.

A Study on the Design and Rectification Method of a KW class Power Converter Unit for an Aircraft Mounted Guided Missile (항공기 장착 유도탄의 KW급 전력변환장치 설계와 정류방식에 따른 연구)

  • Kim, Hyung-Jae;Jung, Jae-Won;Lee, Dong-Hyeon;Kim, Gil-Hoon;Moon, Mi-Youn
    • Journal of Advanced Navigation Technology
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    • v.26 no.2
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    • pp.99-104
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    • 2022
  • Recently, the domestic demand for weapon systems based on aircraft platforms is gradually increasing. In particular, the demand for effective precision guided missile(PGM) which cruises for several hundred kilometers after launch to strike the ground target is rising drastically, but it is in the early stages of development, and research based on it are limited. This paper is a study on the power converter unit(PCU) within PGM which is mounted on an aircraft platform based on MIL-STD-1760, which is an interface between an aircraft and PGM. We investigated the electrical properties and structure of the umbilical connector, and the aircraft/store electrical interconnection system. Also, the focus on the design specifications of the PCU that supplies power were described. This result 3 phase AC input, which is the state for the guided simulation power supply in the state of being mounted on an aircraft that rectification method with power factor correction(PFC) compared to bridge rectifier circuit. In the future, it may be used as a basis for power supply design on aircraft mounted weapon systems.

Research on the Necessity of Building the Second Space Rocket Launching Sites for Breakthrough Development of R.O.K National Space Power (도약적 국가 우주력 발전을 선도할 제2 우주센터 구축 필요성 연구)

  • Park, Ki-tae
    • Journal of Space Technology and Applications
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    • v.2 no.2
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    • pp.146-168
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    • 2022
  • Witnessing current military conflicts in South China Sea and Eastern Europe, most defense analysts evaluate one of the most serious security threat toward the US is coming from the superpower competitions with Russia and China. The main means for such super power hegemonic competitions is military power and space power is a key enabler to maximize the efficiency and effectiveness of military employment. Reflecting above circumstances, the space hegemonic competition between the Unites States and China is spreading into all aspects of national powers. Under such an environment, R.O.K needs to significantly develop national space power to preserve life and assets of people in space. On the other hand, the R.O.K has a lot of limitations in launching space assets into orbits by land-based space rockets due to its geographic locations. The limitation of rocket launching direction, the failure to secure a significant area enough to secure safety and the limitation to secure open area enough to build associated facilities are among them. On this paper, I will suggest the need to build the 2nd space rocket launching site after analyzing a lot of short-falls the current 'Naro' space center face, compared to those of advanced space powers around the world.

Development trends of Solar cell technologies for Small satellite (소형위성용 태양전지 개발 동향 및 발전 방향)

  • Choi, Jun Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.5
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    • pp.310-316
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    • 2021
  • Conventional satellites are generally large satellites that are multi-functional and have high performance. However, small satellites have been gradually drawing attention since the recent development of lightweight and integrated electric, electronic, and optical technologies. As the size and weight of a satellite decrease, the barrier to satellite development is becoming lower due to the cost of manufacture and cheaper launch. However, solar panels are essential for the power supply of satellites but have limitations in miniaturization and weight reduction because they require a large surface area to be efficiently exposed to sunlight. Space solar cells must be manufactured in consideration of various space environments such as spacecraft and environments with solar thermal temperatures. It is necessary to study structural materials for lightweight and high-efficiency solar cells by applying an unfolding mechanism that optimizes the surface-to-volume ratio. Currently, most products are developed and operated as solar cell panels for space applications with a triple-junction structure of InGaP/GaAs/Ge materials for high efficiency. Furthermore, multi-layered junctions have been studied for ultra-high-efficiency solar cells. Flexible thin-film solar cells and organic-inorganic hybrid solar cells are advantageous for material weight reduction and are attracting attention as next-generation solar cells for small satellites.

Position Control of Dual Redundant Asymmetric Tandem Electro-Hydrostatic Actuator for Aircraft based on Backstepping Technique (백스테핑 기법을 이용한 항공기용 이중화 비대칭형 직렬 전기-정유압 구동기의 위치제어)

  • Kim, Daeyeon;Park, Hyung Jun;Kim, Sang Seok;Kim, Dae Hyun;Kim, Sang Beom;Lee, Junwon;Choi, Jong Yoon
    • Journal of Aerospace System Engineering
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    • v.15 no.3
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    • pp.1-10
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    • 2021
  • The electro-hydrostatic actuators (EHA) are widely used in various industrial fields since they can independently execute the function of the hydraulic power source and have high efficiency. Particularly, in the aviation field, the EHA is mainly designed as dual redundant asymmetric tandem actuator to mitigate failure and minimize installation space. However, aviation EHAs designed in the form of dual redundant asymmetric tandem actuator have the disadvantage of decreased durability performance due to the occurrence of force fighting. In this paper, the controller is designed based on backstepping technique to improve control performance and reduce force fighting for aviation EHA. The augmented state observer is proposed to estimate the states required for control. Through simulation, it was verified that the proposed controller had superior control performance and significantly reduces the force fighting compared to the general PI controller.

Research to Predict the Thermal Characteristics of Electro Hydrostatic Actuator for Aircraft (항공기용 전기-정유압식 작동기(Dual Redundant Asymmetric Tandem EHA)의 열특성 예측을 위한 연구)

  • Kim, Sang Seok;Park, Hyung Jun;Kim, Daeyeon;Kim, Dae Hyun;Kim, Sang Beom;Lee, Junwon;Choi, Jong Yoon
    • Journal of Aerospace System Engineering
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    • v.16 no.3
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    • pp.84-92
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    • 2022
  • The electro-hydrostatic actuator (EHA) recently has been used in flight control fields for aircraft because of its benefits of minimizing oil leakage and weight, improving safety, and etc. while independently operating the hydraulic power source and eliminating complex hydraulic piping. The aircraft of which EHA is installed inside, has the thermal management issue of EHA, because of its limited cooling source as compared with the aircraft which installs the traditional central hydraulic system. So, the thermal analysis model which predicts the thermal characteristics of EHA, is required to resolve this thermal management issue. In this study, an oil circulation circuit inside the hydraulic power module comprised of hydraulic pump and electrical motor for EHA was applied. This is for the purpose of developing the internal rotary group of hydraulic power module, which operates under the conditions of high rotation speed and hydraulic pressure. After formulating an appropriate thermal analysis model, the thermal analysis results with oil cooled or no oil cooled hydraulic control module were compared and reviewed, for the purpose of predicting the thermal characteristics of EHA.

Force Fighting Suppressive Technique of Dual Redundant Asymmetric Tandem Electro-Hydrostatic Actuator for Aircraft (항공기용 이중화 비대칭형 직렬 전기-정유압 구동기의 Force Fighting 억제 기법)

  • Song, Woo Keun;Kim, Sang Seok;Choi, Jeong Seok;Lee, JungUn;Lee, Jong Cheol;Lee, Jun won;Choi, Jong Yoon
    • Journal of Aerospace System Engineering
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    • v.16 no.5
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    • pp.62-69
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    • 2022
  • EHA (Electro-Hydrostatic Actuator) is more energy efficiency than a centralized hydraulic system. In particular, the EHA used for aircraft has a redundant design in preparation for failure scenario. Also, due to the aircraft's internal space limitation, the actuator's length must be optimized. Therefore, a series configuration of double rod and single rod cylinder is advantageous. However, due to the asymmetry of the cross-sectional area of the piston, the force fighting phenomenon between the two cylinder areas occurs during redundant operation with a general control system. In this paper, the force fighting phenomenon of redundant EHA was simulated. A controller with load compensation and a force control-based position controller as a method to suppress its stimulation

Anomaly Detections Model of Aviation System by CNN (합성곱 신경망(CNN)을 활용한 항공 시스템의 이상 탐지 모델 연구)

  • Hyun-Jae Im;Tae-Rim Kim;Jong-Gyu Song;Bum-Su Kim
    • Journal of Aerospace System Engineering
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    • v.17 no.4
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    • pp.67-74
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    • 2023
  • Recently, Urban Aircraft Mobility (UAM) has been attracting attention as a transportation system of the future, and small drones also play a role in various industries. The failure of various types of aviation systems can lead to crashes, which can result in significant property damage or loss of life. In the defense industry, where aviation systems are widely used, the failure of aviation systems can lead to mission failure. Therefore, this study proposes an anomaly detection model using deep learning technology to detect anomalies in aviation systems to improve the reliability of development and production, and prevent accidents during operation. As training and evaluating data sets, current data from aviation systems in an extremely low-temperature environment was utilized, and a deep learning network was implemented using the convolutional neural network, which is a deep learning technique that is commonly used for image recognition. In an extremely low-temperature environment, various types of failure occurred in the system's internal sensors and components, and singular points in current data were observed. As a result of training and evaluating the model using current data in the case of system failure and normal, it was confirmed that the abnormality was detected with a recall of 98 % or more.