• Title/Summary/Keyword: National Defense R&D

Search Result 233, Processing Time 0.022 seconds

Effect of Area Ratio on Galvanic Corrosion Between Metallic Materials and GECM in 3.5% NaCl Solution (3.5% NaCl 수용액 중에서의 금속과 GECM의 갈바닉 부식에 미치는 면적비의 영향)

  • Kim, Y.S.;Lim, H.K.;Sohn, Y.I.;Yoo, Y.R.;Chang, H.Y.
    • Corrosion Science and Technology
    • /
    • v.9 no.1
    • /
    • pp.39-47
    • /
    • 2010
  • Galvanic coupling between GECM(graphite epoxy composite material) and metallic materials can facilitate corrosion of metals and alloys because GECM is noble and electrically conductive. Galvanic corrosion is affected by many factors including metallic materials, area ratio, surface condition, and corrosivity. This work aims to evaluate the effect of area ratio on galvanic corrosion between GECM and several metals. In the case of glavanic coupling of carbon steel and Al to GECM, corrosion rate increased with increasing area ratio. Corrosion rate of sensitized STS 316S stainless steel decreased a little at an area ratio 1:1 but increased at an area ratio 30:1. It is considered to be due to that area ratio affects galvanic corrosion more in less corrosion resistant alloys. However, in case of STS 316 and Ti, galvanic coupling reduces corrosion rate by the formation of passive film.

Software Development Effort Estimation Using Partition of Project Delivery Rate Group (프로젝트 인도율 그룹 분할 방법을 이용한 소프트웨어 개발노력 추정)

  • Lee, Sang-Un;No, Myeong-Ok;Lee, Bu-Gwon
    • The KIPS Transactions:PartD
    • /
    • v.9D no.2
    • /
    • pp.259-266
    • /
    • 2002
  • The main issue in software development is the ability of software project effort and cost estimation in the early phase of software life cycle. The regression models for project effort and cost estimation are presented by function point that is a software sire. The data sets used to conduct previous studies are of ten small and not too recent. Applying these models to 789 project data developed from 1990 ; the models only explain fewer than 0.53 $R^2$(Coefficient of determination) of the data variation. Homogeneous group in accordance with project delivery rate (PDR) divides the data sets. Then this paper presents general effort estimation models using project delivery rate. The presented model has a random distribution of residuals and explains more than 0.93 $R^2$ of data variation in most of PDR ranges.

Synthesis and Characterization of 1-DABTR as Insensitive Energetic Plasticizer (둔감 에너지 가소제 1-DABTR의 합성 및 특성 평가)

  • Lee, Woonghee;Kim, Minjun;Park, Youngchul;Lee, Bumjae
    • Journal of the Korean Society of Propulsion Engineers
    • /
    • v.21 no.6
    • /
    • pp.32-38
    • /
    • 2017
  • Plasticizers play roles in increasing plasticity or fluidity during mixing. Representative plasticizers are DOS, DOA, IDP and BTTN. In particular, BTTN is an energy plasticizer that helps propellant performance and is widely used. However these compounds are sensitive relatively. So, in order to develop insensitive energetic plasticizer, synthesis of one of the derivatives of triazole, 4,5-bis (azido methyl)-(1-butyl)-1,2,3-triazole (1-DABTR), was studied. Also, the compound was characterized by NMR, IR spectroscopy, and physicochemical properties such as glass transition temperature, melting point, decomposition temperature, density, viscosity and impact sensitivity were measured. In addition, the heats of formation (${\Delta}H_f$) of 1-DABTR was also calculated using Gaussian 09.

Modeling and a Simple Multiple Model Adaptive Control of PMSM Drive System

  • Kang, Taesu;Kim, Min-Seok;Lee, Sa Young;Kim, Young Chol
    • Journal of Power Electronics
    • /
    • v.17 no.2
    • /
    • pp.442-452
    • /
    • 2017
  • This paper deals with the input-output modeling of a vector controlled PMSM drive system and design of a simple multiple model adaptive control (MMAC) scheme with desired transient responses. We present a discrete-time modeling technique using closed-loop identification that can experimentally identify the equivalent models in the d-q coordinates. A bank of linear models for the equivalent plant of the current loop is first obtained by identifying them at several operating points of the current to account for nonlinearity. Based on these models, we suggest a simple q-axis MMAC combined with a fixed d-axis controller. After the current controller is designed, another equivalent model including the current controller in the speed control loop shall be similarly obtained, and then a fixed speed controller is synthesized. The proposed approach is demonstrated by experiments. The experimental set up consists of a surface mounted PMSM (5 KW, 220V, 8 poles) equipped with a flywheel load of 220kg and a digital controller using DSP (TMS320F28335).

Precise Analysis of the Surface Oxidation Layer on Cu Powders Using FE-TEM Techniques (전계방출 투과전자현미경 분석기술을 이용한 Cu 입자 표면산화층의 정밀평가)

  • Lee, Tae Hun;Yoo, Jung Ho;Hyun, Moon Seop;Yang, Jun-Mo;Seong, Mi-Ryn;Kwon, Jinhyeong;Lee, Caroline Sunyong;Kim, Jeong-Sun;Baik, Kyeong Ho
    • Korean Journal of Metals and Materials
    • /
    • v.48 no.1
    • /
    • pp.57-61
    • /
    • 2010
  • Nanosized surface structures of Cu powders were investigated at the atomic scale by field-emission transmission electron microscope techniques. The nanoscale surface oxide layer on the Cu powder was analyzed to be the $CU_2O$ phase by electron diffraction pattern and electron energy-loss spectroscopy. In addition, it was found from high-resolution transmission electron microscopy study that there are formed no surface oxide layers on the surface of alkanethiol coated Cu powders.

Antimicrobial Peptides as Natural Antibiotic Materials (새로운 천연 항생물질로서의 항균 펩타이드)

  • Cha, Yeon-Kyung;Kim, Young-Soo;Choi, Yoo-Seong
    • KSBB Journal
    • /
    • v.27 no.1
    • /
    • pp.9-15
    • /
    • 2012
  • Antimicrobial peptides are widely used in various organisms as a defense system against infection. The peptides are lethal towards bacteria and fungi, however have minimal toxicity in mammalian and plant cells. In this aspect, it is considered that antimicrobial peptides are new alternative materials for defensing against microbial infection. Here, we describe overall characteristics of antimicrobial peptides based on the mechanism of action, classification of the peptides, report detection/screening methods and chemical/biological production. It is expected that understanding of innate immune system based on antimicrobial peptides tends to develop novel natural antimicrobial agents, which might be applied for defensing pathogenic microorganisms resistant to conventional antibiotics.

Hybrid Information Hiding Method Based on the Characteristics of Military Images on Naval Combat System (함정 전투체계 군사영상 특성에 기반한 하이브리드 정보은닉 기법)

  • Lee, Joon-Ho;Jung, Ki-Hyun;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
    • /
    • v.19 no.9
    • /
    • pp.1669-1678
    • /
    • 2016
  • There are many kinds of military images used in naval combat system because various sensors are operated. The military images are displayed, analysed and stored with analysed informations according to the tactical purpose on combat system. These images are used to target detection, analysis and classification. Thus the analysed information and images must be secured, the information hiding methods are the most eligible solutions to get secured informations and images. In this paper, the hybrid information hiding method based on the characteristics of the military images is proposed and the effectiveness is shown by experiments.

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
    • /
    • v.23 no.1
    • /
    • pp.77-86
    • /
    • 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.

Tensile and Fatigue Behavior of ASS304 for Cold Stretching Pressure Vessels at Cryogenic Temperature (Cold Stretching 압력용기용 ASS304 소재의 극저온 인장 및 피로거동)

  • Choi, Hoon Seok;Kim, Jae Hoon;Na, Seong Hyun;Lee, Youn Hyung;Kim, Sung Hun;Kim, Young Kyun;Kim, Ki Dong
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.40 no.5
    • /
    • pp.429-435
    • /
    • 2016
  • Cold stretching(CS) pressure vessels from ASS304 (austenitic stainless steel 304) are used for the transportation and storage of liquefied natural gas(LNG). CS pressure vessels are manufactured by pressurizing the finished vessels to a specific pressure to produce the required stress ${\sigma}_k$. After CS, there is some degree of plastic deformation. Therefore, CS vessels have a higher strength and lighter weight compared to conventional vessels. In this study, we investigate the tensile and fatigue behavior of ASS304 sampled by CS pressure vessels in accordance with the ASME code at cryogenic temperature. From the fatigue test results, we show S-N curves using a statistical method recommended by JSEM-S002. We carried out the fractography of fractured specimens using scanning electron microscopy (SEM).

System Identification and Pitch Control of a Planing Hull Ship with a Controllable Stern Intercepter (능동제어가 가능한 선미 인터셉터가 부착된 활주선형 선박의 시스템 식별과 자세 제어에 관한 연구)

  • Choi, Hujae;Park, Jongyong;Kim, Dongjin;Kim, Sunyoung;Lee, Jooho;Ahn, Jinhyeong;Kim, Nakwan
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.55 no.5
    • /
    • pp.401-414
    • /
    • 2018
  • Planing hull type ships are often equipped with interceptor or trim tab to improve the excessive trim angle which leads to poor resistance and sea keeping performances. The purpose of this study is to design a controller to control the attitude of the ship by controllable stern interceptor and validate the effectiveness of the attitude control by the towing tank test. Embedded controller, servo motor and controllable stern interceptor system were equipped with planing hull type model ship. Prior to designing the control algorithm, a model test was performed to identify the system dynamic model of the planing hull type ship including the stern interceptor. The matrix components of model were optimized by Genetic Algorithm. Using the identified model, PID controller which is a classical controller and sliding mode controller which is a nonlinear robust controller were designed. Gain tuning of the controllers and running simulation was conducted before the towing tank test. Inserting the designed control algorithm into the embedded controller of the model ship, the effectiveness of the active control of the stern interceptor was validated by towing tank test. In still water test with small disturbance, the sliding mode controller showed better performance of canceling the disturbance and the steady-state control performance than the PID controller.