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어레이 안테나 장착을 위한 단훈화된 주익 구조의 복합재 모자형 보강재 최적설계
박승현 ( Sung Hyun Park ),김인걸 ( In Gul Kim ),이석제 ( Seok Je Lee ),전우철 ( Oo Chul Jun ) 한국복합재료학회 2012 Composites research Vol.25 No.6
정찰 및 감시를 위한 어레이 안테나가 내장된 날개는 컷아웃이 수반되기 떄문에 구조성능이 저하된다. 본 논문에서는 단순화된 복합재 날개에 어레이 안테나 탑재시 안테나성능 저하와 날개구조 성능 저하를 최소화할 수 있는 복합재 모자형 보강재의 두께에 대해 최적설계를 수행하였다. 최적인 모자형 보강재 형상 선정을 위하여 모자형 보강재의 웹 경사도와 플랜지의 길이에 변화를 주어 상용 유한요소해석 프로그램음 이용하여 구조 해석을 수행하였다. 복합재 모자형 보강재형사에 대하여 응력과 좌굴에 대한 구속조건으로 상용 최적화 프로그램인 VisualDOC와 상용 유한요소해석 프로그램을 이용하여 최적화를 수행하여 보강재의 두께를 절정하였다. The structural performance is degraded in case of embedding the array antenna for reconnaissance and surveillance into the wing skin structures. In this paper, the optimal design for the thickness of composite hat-shaped stiffener which is reinforced embedded array antenna on the simplified composite wing box was conducted. To select the basic shape of hat-shaped stiffener, structural analysis was carry out using the commercial finite element analysis program while changing the web slope and flange length of hat-shaped stiffener. The optimal thickness of the composite hat-shaped stiffeners was determined by using commercial optimization program such as VisualDOC and commercial FEA program with considering stresses and buckling constraints.
프로골프선수의 성취목표성향과 스포츠 수행전략 및 경쟁불안의 관계
박승현(Park, Seung-Hyun),하상원(Ha, Sang-Won) 한국체육과학회 2021 한국체육과학회지 Vol.30 No.4
The purpose of this study was to investigate the relationship among achievement goal orientation, sports performance strategies, and competitive anxiety of professional golfers. Through convenience sampling method, selected 218 survey questionnaires were used for final analysis from professional golfers. With the collected data multiple regression analysis were performed by SPSS 21.0. The results of the analysis were summarized as follows. First, the task propensity and ego propensity impacts positively(+) influence on self-talk, control of condition, and imagery and goal orientation, and the ego propensity impacts positively(+) influence on relaxation. Moreover the task propensity impacts positively(+) influence on emotional control. Second, the achievement goal orientation impacts no significantly influence on cognitive state anxiety and somatic state anxiety, but the task propensity and ego propensity impacts positively(+) influence on state confidence. Third, the control of condition and emotional control impacts negatively(-) influence on cognitive state anxiety, and the emotional control impacts negatively(-) influence on somatic state anxiety. Moreover the self-talk, control of condition, imagery and goal orientation, and emotional control positively(+) influence on state confidence. These results mean that improved their sports performance strategies and state confidence through achievement goal orientation of professional golfers, and improving their competitive anxiety through sports performance strategies.
안성찬(Sung Chan An),김승욱(Seung Ook Kim),김준철(Joon Cheol Kim),박승현(Seung Hyun Park),박종후(Jong Hwoo Park),박현중(Hyun Joong Park),조영우(Young Woo Jo) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
In this paper, we will explain the need for a virtual model so-called Digital Twin technology in the ship engine field, and the applications of the virtual models. Unlike small automobile engines, ship engines need a lot of time and cost to do experiments. The development of the virtual models in the field of ship engines is essential to get competitiveness in the ship engine business. Hyundai Heavy Industries (HHI) virtual model technology, which will be introduced in this paper, can be divided into three main areas. Virtual models are used for the following areas: engine design, engine testing, and maintenance. In engine design, a predictive model is constructed based on combustion analysis, structural analysis, and performance analysis to predict engine performance required for designing the target value. For engine testing, the total number of tests can be reduced by using virtual models to determine the direction of the test or in conjunction with existing test data to reduce time and cost. In terms of maintenance, the ship engine’s big data system is used based on numerous engine operating data accumulated so far and is used to predict failures and diagnose engines by utilizing virtual models with AI technology. Lastly, this paper will be concluded by discussing the future of virtual model technology in the ship engine field by introducing “Smart Engine 5.0” which is the future of the virtual model pursued by HHI.