50 research outputs found

    (The)Portrait of a Lady์™€ the Golden Bowl ๋น„๊ต ์—ฐ๊ตฌ : ์—ฌ์ฃผ์ธ๊ณต์˜ ๋ฏธ๊ตญ์  ํŠน์„ฑ์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜์–ด์˜๋ฌธํ•™๊ณผ ๋ฌธํ•™์ „๊ณต,2002.Docto

    A Study on the Development of an Electronic Current Transformer embedded in a Spacer of Gas Insulated Switchgears

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    ๋ณ€์ „์†Œ์˜ ๊ฐ€์Šค์ ˆ์—ฐ๊ฐœํ์žฅ์น˜(Gas Insulated Switchgears, GIS)์—๋Š” ๋ณ„๋„์˜ ํƒฑํฌ ๋‚ด์— ์ „๋ฅ˜ ์ธก์ •์„ ์œ„ํ•ด ๋Œ€ํ˜•์˜ ์ฒ ์‹ฌํ˜• ๋ณ€๋ฅ˜๊ธฐ๋ฅผ ์„ค์น˜ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ฐ€์Šค์ ˆ์—ฐ๊ฐœํ์žฅ์น˜์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ, ์นœํ™˜๊ฒฝํ™” ๋ฐ ์†Œํ˜•ํ™”๋ฅผ ์œ„ํ•œ ์ŠคํŽ˜์ด์„œ ๋‚ด์žฅํ˜• ์ „์ž์‹ ๋ณ€๋ฅ˜๊ธฐ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ „์ž์‹ ๋ณ€๋ฅ˜๊ธฐ(Electronic Current Transformer, eCT)๋Š” ์ŠคํŽ˜์ด์„œ์— ๋‚ด์žฅ ๊ฐ€๋Šฅํ•œ ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ(Rogowski Current Sensor, RCS), ์ฐจ๋™์ฆํญ๊ธฐ(Differential amplifier)์™€ ๋Šฅ๋™์„ฑ ์ ๋ถ„๊ธฐ(Active integrator)๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ๋Š” ์ŠคํŽ˜์ด์„œ ์šด์ „ ์ค‘ ์ง„๋™๊ณผ ์ถฉ๊ฒฉ์—๋„ ๊ฒฌ๋”œ ์ˆ˜ ์žˆ๊ณ , ์ค‘์‹ฌ๋„์ฒด๋กœ๋ถ€ํ„ฐ ์ ˆ์—ฐ๊ฑฐ๋ฆฌ๋ฅผ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ง ๊ตฌ์กฐ์˜ PCB ํ˜•ํƒœ๋กœ ์ œ์ž‘ํ•˜์˜€๋‹ค. ์‹œ์ œ์ž‘ ์ „์ž์‹ ๋ณ€๋ฅ˜๊ธฐ์˜ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ์€ โ€“3dB์—์„œ 5Hz โˆผ 20kHz์ด๋ฉฐ, ๊ฐ๋„๋Š” 1.21[mVrms/A]์ด๋‹ค. ์ •๊ฒฉ ์ „๋ฅ˜ 4,000A์˜ 200A(5%), 800A(20%) ๋ฐ 1000A(25%)์—์„œ, ๋ถ„๋ฅ˜๋น„ ์˜ค์ฐจ๋Š” 0.55%, 0.35%, ๋ฐ 0.33%, ์œ„์ƒ์ฐจ๋Š” 57min, 27.2min ๋ฐ 25.9min์ด์—ˆ๋‹ค. ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ ์ถœ๋ ฅ์ „๋ฅ˜์˜ ์˜จ๋„๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ž„ํ”ผ๋˜์Šค(R, L)์˜ ์˜ค์ฐจ๊ฐ’ ๋ณ€ํ™”๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ์ŠคํŽ˜์ด์„œ์— ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ๋ฅผ ๋‚ด์žฅํ•˜๊ณ  ์ „๋ฅ˜๊ฐ€ ์ธ๊ฐ€๋œ ์ƒํƒœ์—์„œ ์˜จ๋„๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ถœ๋ ฅ์ „์••(Vrms)์„ ๊ด€์ธกํ•˜์˜€๋‹ค. 25โˆผ80๊นŒ์ง€ ์˜จ๋„๋ฅผ ๋ณ€ํ™”์‹œ์ผœ ์ž„ํ”ผ๋˜์Šค๋Š” ์ตœ๋Œ€ 22.81% ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ์ „๊ธฐ์  ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ๋ณ€ํ™”๋กœ ์ถœ๋ ฅ์ „์••์ด ์ตœ๋Œ€ 6.79% ๊ฐ์†Œํ–ˆ๋‹ค. ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ๋Š” ๋ถ€ํ•˜์ „๋ฅ˜์˜ ์˜ํ–ฅ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ „์ž์‹ ๋ณ€๋ฅ˜๊ธฐ๋Š” ์ •ํ™•๋„ 0.2๊ธ‰๊ณผ 0.5๊ธ‰์—์„œ ์˜จ๋„์ƒ์Šน์— ๋”ฐ๋ฅธ ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ์˜ ์ถœ๋ ฅ๋ณ€ํ™”๋ฅผ ๋ณด์ •ํ•˜์—ฌ ์ •ํ™•๋„ ๊ฐœ์„ ์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ IEC 60044-8์— ๊ทœ์ •๋œ ์ •๊ฒฉ ์ „๋ฅ˜์˜ 20%โˆผ120%์—์„œ ์ •ํ™•๋„ 0.5๊ธ‰์„ ๋งŒ์กฑํ•˜๋Š” ๊ฒฐ๊ณผ์ด๋‹ค. ์ฒ ์‹ฌํ˜• ๋ณ€๋ฅ˜๊ธฐ๋ฅผ ๋Œ€์ฒดํ•˜๋ฉด ๊ฐ€์Šค์ ˆ์—ฐ๊ฐœํ์žฅ์น˜์˜ ๊ธธ์ด ์•ฝ 33% ์ถ•์†Œ์™€ ์ ˆ์—ฐ๊ฐ€์Šค SF6 ์ถฉ์ง„๋Ÿ‰์„ ์ค„์ด๋Š” ํšจ๊ณผ(์•ฝ 12%)๊ฐ€ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 2 ์žฅ ์ด ๋ก  4 2.1 ๊ณ„๊ธฐ์šฉ ๋ณ€๋ฅ˜๊ธฐ 4 2.2 ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ 7 ์ œ 3 ์žฅ ์„ค๊ณ„ ๋ฐ ์ œ์ž‘ 11 3.1 ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ 12 3.2 ์‹ ํ˜ธ๋ณ€ํ™˜๊ธฐ 17 ์ œ 4 ์žฅ ํ‰๊ฐ€ ๋ฐ ๋ถ„์„ 21 4.1 ์‹คํ—˜๊ณ„ 21 4.2 ํŠน์„ฑ ํ‰๊ฐ€ 23 4.3 ๋กœ๊ณ ์šฐ์Šคํ‚ค ์ „๋ฅ˜์„ผ์„œ์˜ ์˜จ๋„ ์˜์กด์„ฑ 27 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  29 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 31Maste

    The effect of Army trainee perceived practical teaching competency on education outcomes through education engagement

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    This study aims to analyze the effect of army trainee perceived practical teaching competency(APTC) on education outcomes(EO) through education engagement(EE). In this study, the following research questions were proposed and investigated. 1. How does army trainee perceived practical teaching competence of army instructor affect army traineeโ€™s education engagement? 2. How does army trainee perceived practical teaching competency of army instructor affect education outcomes? 3. How does army traineeโ€™s education engagement affect education outcomes? 4. How does army trainee perceived practical teaching competency of army instructor affect education outcomes, through the mediating effect of army traineeโ€™s education engagement? To address these questions, the following procedures and methods of reserch took place. First, โ€˜Army instructorโ€™s practical teaching competency scaleโ€™(AIPTC), โ€˜Army traineeโ€™s education engagement scaleโ€™(ATEE) and โ€˜Army traineeโ€™s army service attitude scaleโ€™(ATASA) were developed and validated to measure the corresponding constructs. The AIPTC is composed of 5 sub-constructs : โ‘  Planning and Organization, โ‘ก Communications, โ‘ข Interaction, โ‘ฃ Coordination, โ‘ค Sincerity and Enthusiasm. The ATEE is composed of 3 sub-constructs : โ‘  cognitive engagement, โ‘ก affective engagement, โ‘ข behavioral engagement. The ATASA is composed of 4 sub-constructs : โ‘  interest, โ‘ก self-confidence, โ‘ข impotance, โ‘ฃ usefulness. The scales were developed through a comprehensive literature review, then were confirmed for content validity by a group of education evaluation experts. Moreover, construct validity and reliability was confirmed by confirmatory factor analysis and cronbachโ€™s alpha. From 345 army trainee in Army training center in Korea were obtained as data for this study. The APTC was measured using AIPTC at last week of September(after two weeks from start of education). The EE was measured using ATEE at second week of October. The EO wa measured using ATASA and evaluation results of recruit training at fourth week of October. The data was then analyzed by descriptive statistics analysis, correlation analysis, and structural equation modeling(SEM) analysis to examine the relationship of APTC, EE and EO. The results are as follows. First, the correlation between APTC and EE was statistically significant (p<0.001, Pearson coefficient = .247) Among the components of APTC, โ€˜Coordinationโ€™ demonstrated highest correlation with EE. The SEM result also suggested that the path from APTC to EE was statistically significant(p<0.001, standardized coefficient = .253). Second, the correlation between APTC and EO was statistically significant (p<0.001, Pearson coefficient = .266) Among the components of APTC, โ€˜Coordinationโ€™ demonstrated highest correlation with EO. The SEM result also suggested that the path from APTC to EO was statistically significant(p<0.001, standardized coefficient = .174). Third, the correlation between EE and EO was statistically significant (p<0.001, Pearson coefficient = .462) Among the components of EE, โ€˜Cognitive engagementโ€™ demonstrated highest correlation with EO. The SEM result also suggested that the path from EE to EO was statistically significant(p<0.001, standardized coefficient = .419). Lastly, EE partially mediated the effect APTC has on EO. The statistical significance of these effects were tested using Sobel test and bootstrapping method, and the result showed that both direct effect and indirect effect were statistically significant. So, it is need to develop army instructorโ€™s practical teaching competency for the development of army traineeโ€™s education engagement and education out comes. keywords : practical competence, army instructor, education outcome, education engagement Student Number : 2020-24799์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ โ€˜ํ–‰ํ•˜๋Š” ๋Šฅ๋ ฅโ€™๊ณผ ๊ด€๋ จ์ด ์žˆ์œผ๋ฉฐ(๋ฐฑ์ˆœ๊ทผ, 2007), ํ•™์—…์„ฑ์ทจ๋„ ํ–ฅ์ƒ, ์ฆ‰ ์„ฑ๊ณต์ ์ธ ๊ต๊ณผ์ˆ˜์—…๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์„ฑ๊ณต์ ์ธ ๊ต๊ณผ๊ต์œก์„ ์œ„ํ•ด์„œ๋Š” ๊ต์ˆ˜์ž์˜ ํ˜„์žฌ ๊ต์ˆ˜์—ญ๋Ÿ‰(teaching competency)์„ ์ œ๋Œ€๋กœ ์ธก์ •, ํ‰๊ฐ€ํ•˜๊ณ  ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ”ผ๋“œ๋ฐฑ์„ ์ฃผ์–ด ๊ต์›์˜ ๊ต์ˆ˜์—ญ๋Ÿ‰์„ ํ‚ค์šฐ๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ํ•œํŽธ, ์œก๊ตฐ ์ฐจ์›์—์„œ๋„ ์ตœ๊ทผ ๋†’์€ ์ˆ˜์ค€์˜ ๊ต์œกํ›ˆ๋ จ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ๊ต๊ด€ ์—ญ๋Ÿ‰ ํ–ฅ์ƒ์„ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ๊ต์œก์„ ์‹ค์‹œํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๊ทธ ์ค‘์š”์„ฑ์€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ๊ตฐ ๊ต์œก์—์„œ ํ•™์Šต์ž์˜ ์ ๊ทน์ ์ธ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ตฐ ๊ต์œก์ƒ์˜ ๋Œ€๋‹ค์ˆ˜๊ฐ€ ๋น„์ž๋ฐœ์  ๊ต์œก์ƒ์ด๋ผ๋Š” ์ ๊ณผ ๊ต์œก ๋‚ด์šฉ์ด ์ƒ์†Œํ•˜๊ฑฐ๋‚˜ ์‹ค์ „์— ์ ์šฉํ•˜๊ธฐ ํž˜๋“ค์–ด ๊ต์œก ์ฐธ์—ฌ๋ฅผ ๋†’์ด๊ธฐ ์–ด๋ ต๋‹ค๋Š” ์ ์—์„œ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๊ต์œกํ•™ ์ฐจ์›์—์„œ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰๊ณผ ๊ต์œก ์ฐธ์—ฌ, ๊ทธ๋ฆฌ๊ณ  ๊ต์œก ์„ฑ๊ณผ๋Š” ์ง€์†์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด๋Š” ์—ฐ๊ตฌ ๋˜ํ•œ ๋‹ค์ˆ˜ ์ด๋ฃจ์–ด์กŒ๋‹ค. ํ•˜์ง€๋งŒ ๊ตฐ ์ฐจ์›์—์„œ ์„ธ ๋ณ€์ธ์— ๋Œ€ํ•œ ๊ฐœ๋… ์ •๋ฆฝ๊ณผ ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜๋Š” ๊ฒฝํ—˜๊ณผํ•™์  ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์„ ๊ธฐ์ดˆ๋กœ ์•ž์„œ ์–ธ๊ธ‰ํ•œ ์„ธ ๋ณ€์ธ ๊ฐ„์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•(SEM : Structural Equation Modeling)์„ ํ™œ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๋ฌธ์ œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 2. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก ์„ฑ๊ณผ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 3. ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ต์œก ์„ฑ๊ณผ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 4. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก์ƒ์˜ ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๊ฐ€ ๋งค๊ฐœํ•˜๋Š”๊ฐ€? ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐ ์ ˆ์ฐจ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์šฐ์„  ๊ฐ ๋ณ€์ธ์„ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์ฒ™๋„๋ฅผ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ์ฐธ๊ณ ํ•˜์—ฌ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ, ๊ต์œกํ•™ ๋ฐ•์‚ฌ์™€ ๋ฐ•์‚ฌ๊ณผ์ •์ƒ 8๋ช…์œผ๋กœ ๊ตฌ์„ฑ๋œ ์ „๋ฌธ๊ฐ€ํ˜‘์˜ํšŒ๋ฅผ ํ†ตํ•ด ์ฒ™๋„์˜ ๋‚ด์šฉํƒ€๋‹น๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๊ณ , ํ™•์ธ์  ์š”์ธ๋ถ„์„(CFA : Confirmatory Factor Analysis)์œผ๋กœ ๊ตฌ์ธํƒ€๋‹น๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, Cronbachโ€™s alpha ๊ณ„์ˆ˜๋ฅผ ํ™•์ธํ•˜์—ฌ ์‹ ๋ขฐ๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์œ„ ๊ณผ์ •์„ 5๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 6๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰ ์ธก์ • ์ฒ™๋„, 3๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 3๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ ์ธก์ • ์ฒ™๋„, ๊ต์œก ์„ฑ๊ณผ ์ค‘ ์ •์˜์  ์˜์—ญ ์ธก์ •์„ ์œ„ํ•œ 4๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 3๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ตฐ ๋ณต๋ฌด ํƒœ๋„ ์ธก์ • ์ฒ™๋„ ๊ฐœ๋ฐœ์— ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ ๋ชจ๋“  ์ฒ™๋„์˜ ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„๊ฐ€ ์ „๋ฐ˜์ ์œผ๋กœ ์–‘ํ˜ธํ•˜์˜€๋‹ค. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์„ ์œ„ํ•ด ๋…ผ์‚ฐ์— ์œ„์น˜ํ•œ ์œก๊ตฐํ›ˆ๋ จ์†Œ์˜ ์‹ ๋ณ‘ ๊ต์œก์„ ์œ„ํ•ด ์ž…์†Œํ•œ ๊ต์œก์ƒ 345๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ณธ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ์ธ๊ณผ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด 2021๋…„ 9์›” ๋„ท์งธ ์ฃผ์— ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œ, 10์›” ๋‘˜์งธ ์ฃผ์— ๊ต์œก ์ฐธ์—ฌ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ๋งˆ์ง€๋ง‰์œผ๋กœ 10์›” ๋„ท์งธ ์ฃผ์— ๊ต์œก ์„ฑ๊ณผ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ˆ˜์ง‘ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ธฐ์ˆ ํ†ต๊ณ„, ์ƒ๊ด€๊ด€๊ณ„, ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋“ฑ์„ ๋ถ„์„ํ•˜์—ฌ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์ฐธ์—ฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .255๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.001) ๋‘˜์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .154๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.01) ์…‹์งธ, ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ต์œก ์ฐธ์—ฌ๊ฐ€ ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .415๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.001) ๋„ท์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜ ์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก์ƒ์˜ ๊ต์œก์ฐธ์—ฌ์˜ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งค๊ฐœํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•œ Sobel ๊ฒ€์ฆ ๊ฒฐ๊ณผ, Sobel ๊ฒ€์ • ํ†ต๊ณ„๋Ÿ‰์€ 3.654๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€์œผ๋ฉฐ(p<.001) ๊ฐ„์ ‘ํšจ๊ณผ์— ๋Œ€ํ•œ ๋ถ“์ŠคํŠธ๋žฉ ๊ฒ€์ฆ ๊ฒฐ๊ณผ๋„ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค(p<.001). ์š”์ปจ๋Œ€ ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์™€ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ๊ต์œก ์ฐธ์—ฌ ์—ญ์‹œ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค๊ณ , ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก ์ฐธ์—ฌ์˜ ๋งค๊ฐœํšจ๊ณผ๋Š” ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์™€ ๊ต์œก ์„ฑ๊ณผ๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ์ค‘์š”ํ•˜๋ฉฐ, ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์„ ๋†’์ด๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅ๊ณผ ์ง€์›์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์ฃผ์š”์–ด : ์œก๊ตฐ ๊ต๊ด€, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ, ์ฒ™๋„ ๊ฐœ๋ฐœ ๋ฐ ํƒ€๋‹นํ™” ํ•™ ๋ฒˆ : 2020-24799โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 2. ์—ฐ๊ตฌ ๋ฌธ์ œ 4 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 5 1. ๊ต์ˆ˜ ์—ญ๋Ÿ‰(teaching competency) 5 2. ๊ต์œก ์ฐธ์—ฌ 15 3. ๊ต์œก ์„ฑ๊ณผ 21 4. ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ ๊ฐ„์˜ ๊ด€๊ณ„ 26 โ…ข. ์—ฐ๊ตฌ ๊ฐ€์„ค 30 1. ์ฃผ์š” ๋ณ€์ธ ์„ค์ • ๋ฐ ์ •์˜ 30 2. ์—ฐ๊ตฌ ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ๋ชจํ˜• 32 โ…ฃ. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 34 1. ์—ฐ๊ตฌ ๋Œ€์ƒ 34 2. ์ธก์ • ๋„๊ตฌ 35 3. ์—ฐ๊ตฌ ์ ˆ์ฐจ 65 4. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 66 โ…ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 68 1. ๊ธฐ์ดˆํ†ต๊ณ„ 68 2. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ 73 โ…ฅ. ์š”์•ฝ ๋ฐ ๋…ผ์˜ 79 1. ์š”์•ฝ 79 2. ๋…ผ์˜ 81 ์ฐธ๊ณ ๋ฌธํ—Œ 86 ๋ถ€๋ก 95 Abstract 103์„

    ํŒŒ์›Œ ์š”ํŠธ์˜ ์„ ๊ฐ ์ƒ์„ฑ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๊ฐœ๋ฐœ ๋ฐ ๊ฒ€์ฆ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฐ์—…ยท์กฐ์„ ๊ณตํ•™๋ถ€, 2012. 2. ์‹ ์ข…๊ณ„.ํ˜„์žฌ ๊ตญ๋‚ด๋ฅผ ๋น„๋กฏํ•˜์—ฌ ์ค‘๊ตญ์„ ํฌํ•จํ•œ ์‹œ์žฅ์—์„œ ๋ณดํŠธ์™€ ์„ ๋ฐ•์„ ์ด์šฉํ•œ ๋ ˆ์ €ํ™œ๋™์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ฆ๋Œ€๋˜๊ณ  ์žˆ๋Š” ์‹œ๋Œ€์  ํ๋ฆ„์— ๋”ฐ๋ผ ๊ด€๋ จ ์ œํ’ˆ์„ ์ƒ์‚ฐํ•˜๊ณ  ๊ธฐ์ˆ ์„ ๊ฐœ๋ฐœํ•˜๋Š” ๋‹ค์–‘ํ•œ ์‹œ๋„๊ฐ€ ์ด๋ฃจ์–ด ์ง€๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ํŒŒ์›Œ๋ณดํŠธ๋‚˜ ์„ธ์ผ์š”ํŠธ์˜ ๊ฒฝ์šฐ ๊ทธ ํฌ๊ธฐ๋‚˜ ๊ธฐํƒ€ ์œ ํ˜•์— ๋ถˆ๋ฌธํ•˜์—ฌ ๊ตญ๋‚ด์—์„œ๋Š” ์—…์ฒด์— ๋”ฐ๋ผ ๊ธฐ์กด ๊ฐœ๋ฐœ ๊ฒฝํ—˜์ด ์ „๋ฌดํ•˜๊ฑฐ๋‚˜ ๊ฑฐ์˜ ์—†๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ๋”ฐ๋ผ์„œ ์ด์™€ ๊ด€๋ จ๋œ ์ œ์กฐ์—…์˜ ๊ฒฝ์šฐ ์ƒ์‚ฐ ์ƒ์˜ ์ฃผ์š”ํ•œ ๋‹จ๊ณ„ ๋˜๋Š” ์ œํ’ˆ์„ ์ฃผ๋กœ ์ˆ˜์ž…์— ์˜์กดํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์ด๋Š” ๊ตญ๋‚ด ์ œ์กฐ์—…์ฒด ๋˜๋Š” ๊ธฐ์ˆ ๋ ฅ์ด ๋ฐœ ๋น ๋ฅด๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š” ์‹œ์žฅ์— ์ ์‘ํ•˜๊ณ  ํ–ฅํ›„ ๊ณ ๋ถ€๊ฐ€๊ฐ€์น˜ ์‹œ์žฅ์œผ๋กœ ์„ฑ์žฅํ•ด ๋‚˜๊ฐ€๊ธฐ ์œ„ํ•ด์„œ ํ•ด๊ฒฐํ•ด์•ผ ํ•˜๋Š” ๊ณผ์ œ์ด๋‹ค. ๊ตญ๋ฏผ์†Œ๋“ ์ˆ˜์ค€์— ๋งž์ถ”์–ด ๋‹ค๊ฐ€์˜ค๋Š” ํ•ด์–‘ ๋ ˆ์ € ์‚ฐ์—…์˜ ์ „์„ฑ๊ธฐ์— ์•ž์„œ ์ถฉ๋ถ„ํ•œ ์ค€๋น„๋ฅผ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ•ด์–‘ ๋ ˆ์ €์‚ฐ์—…์— ํ•„์š”ํ•œ ์ฃผ์š” ๊ธฐ์ˆ ๋“ค์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ธฐ์ˆ ๋ ฅ ๊ตญ์‚ฐํ™”๋ฅผ ์ด๋ฃจ์–ด์•ผ ํ•˜๊ฒ ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ํ•ด์–‘ ๋ ˆ์ € ์ „๋ฐ˜์— ๊ฑธ์ณ ๊ธฐ์ˆ ์ ์œผ๋กœ ์˜์กดํ•˜๋Š” ์ƒํ™ฉ ํ•˜์—์„œ ์„ค๊ณ„๋ฅผ ํ•˜๋Š” ๊ณผ์ •์—์„œ ๋ชจ์„ ์˜ ์ •๋ณด๊ฐ€ ์—†๊ฑฐ๋‚˜ ๋ถ€์กฑํ•œ ์—…์ฒด์—๊ฒŒ ์œ ์šฉํ•œ ์„ ํ˜• ์ƒ์„ฑ ํ”„๋กœ์„ธ์Šค๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ ์„ ํ˜• ์„ค๊ณ„๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณผ์ •์„ ํ†ตํ•ด ์ด๋ฃจ์–ด์ ธ ์™”๋‹ค. ์ฃผ๋กœ ๋ชจ์„ ์—์„œ ์‹œ์ž‘ํ•˜์—ฌ ์„ค๊ณ„์„ ์˜ ์š”๊ตฌ์‚ฌํ•ญ์— ๋งž๋Š” ํŠน์„ฑ์น˜๋ฅผ ๊ฐ–๋„๋ก ์ˆ˜์ •์„ ํ•˜๋ฉฐ ์ˆ˜์ •๋œ ์„ ํ˜•์„ ์ฃผ์–ด์ง„ ์„ค๊ณ„ ํ™˜๊ฒฝ์—์„œ ๊ฐ€๋Šฅํ•œ ๊ฐ ์ข… ์„ฑ๋Šฅ ์ถ”์ •์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ถ”์ •ํ•œ ์„ฑ๋Šฅ๊ณผ ์„ ํ˜•์„ ๋ถ„์„ํ•˜์—ฌ ๋‹ค์‹œ ์„ ํ˜•์„ ์ˆ˜์ • ํ•˜๋Š” ๊ณผ์ •์„ ๊ฑฐ์น˜๋Š” ๋ฐ˜๋ณต ์ž‘์—…์„ ํ•˜๊ฒŒ ๋œ๋‹ค. ์ด์™€ ๊ฐ™์ด ๋Œ€๋ถ€๋ถ„์˜ ์„ ํ˜• ์„ค๊ณ„๋Š” ๋ชจ์„  ์ •๋ณด์— ๊ธฐ๋ฐ˜ํ•˜๋Š” ํ”„๋กœ์„ธ์Šค๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์‹œํ•˜๋Š” ์„ ํ˜• ์„ค๊ณ„ ํ”„๋กœ์„ธ์Šค๋Š” ์„ ๋ฐ•์„ ์„ค๊ณ„ํ•˜๊ณ ์ž ํ•˜๋Š” ์ดˆ๊ธฐ ์˜์‚ฌ๊ฒฐ์ •์ด ์ •ํ•ด์ง€๋Š” ์‹œ์ ์—์„œ ๋‚˜์˜ค๋Š” ์š”๊ตฌ์‚ฌํ•ญ ๋ฐ ์ฃผ์š” ์น˜์ˆ˜๋“ค์„ ํ†ตํ•ด์„œ ์„ ํ˜•์„ ์„ค๊ณ„ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ์„ ๋ฐ•์ด ๊ฐ€์ ธ์•ผ ํ•˜๋Š” ์š”๊ตฌ์‚ฌํ•ญ๋“ค๋กœ๋ถ€ํ„ฐ ํ•œ์ •๋˜๋Š” ์„ ํ˜•์˜ ์—ฌ๋Ÿฌ ํŠน์„ฑ์น˜์™€ ์ฃผ์š” ์น˜์ˆ˜๋“ค์„ ํ†ตํ•ด ํŠน์ • ํƒ€์ž…์˜ ๊ธฐ๋ณธ ์„ ํ˜•์„ ์ƒ์„ฑํ•ด ์ค€๋‹ค. ๋˜ํ•œ ์ƒ์„ฑ๋œ ์„ ํ˜•์„ ๊ฒ€์ฆํ•˜๊ณ  ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ˆ˜์ • ๋ฐ ๊ฐœ์„  ๊ณผ์ •์„ ๋ฐ˜๋ณตํ•˜์—ฌ ์š”๊ตฌ ์‚ฌํ•ญ์„ ๋งŒ์กฑํ•˜๋Š” ์„ ํ˜•์œผ๋กœ ๋ฐœ์ „์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ์„ ํ˜• ์„ค๊ณ„์˜ ํ”„๋กœ์„ธ์Šค๋ฅผ ์™„๋ฃŒํ•œ๋‹ค. ๋˜ํ•œ ์ œ์‹œํ•œ ์„ ํ˜•์ƒ์„ฑ ํ”„๋กœ์„ธ์Šค๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ƒ์šฉ CAD ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ด๋ฅผ ๊ตฌํ˜„ํ•˜๋Š” ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๊ฐœ๋ฐœํ•ด ๋ณด์•˜๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ฃผ์š”์น˜์ˆ˜์™€ ๊ธฐ์กด์— ์ •์˜ํ•œ ํŠน์„ฑ์น˜์˜ ๊ฐ’๋“ค์„ ํ†ตํ•ด ์„ ํ˜•์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์„ ํ˜• ์„ค๊ณ„์˜ ๋‹ค์Œ ๊ณผ์ •์œผ๋กœ ์ƒ์„ฑ๋œ ์„ ํ˜•์˜ ์œ ํšจ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์ถ”์ •์‹์„ ํ†ตํ•ด ์ €ํ•ญ์„ ์ถ”์ •ํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์ƒˆ๋กœ์šด ์„ค๊ณ„๋ฅผ ์‹œ์ž‘ํ•˜๋Š” ๋ฐ์— ์žˆ์–ด ์œ ํšจํ•œ ์ฐธ์กฐ ์ •๋ณด๋ฅผ ์–ป๊ธฐ์— ํ„ฑ์—†์ด ๋ถ€์กฑํ•œ ์ •๋ณด๋ฅผ ๊ฐ€์ง„ ๊ตญ๋‚ด ํŒŒ์›Œ ๋ณดํŠธ ์ œ์กฐ์—…์ฒด์˜ ํ˜„ํ™ฉ์„ ๊ณ ๋ คํ•œ ์ดˆ๊ธฐ ์„ค๊ณ„ ๋‹จ๊ณ„์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ณธ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ๊ธฐ์—…์˜ ์„ ํ˜• ์„ค๊ณ„ ๋Šฅ๋ ฅ์„ ํ–ฅ์ƒ์‹œ์ผœ ์ค„ ์ˆ˜ ์žˆ๋‹ค.Marine leisure is getting more and more interest in Asia, including China, as well as domestic market. However, domestic manufacturing industry associated with marine leisure is in its incipient stage and is primarily dependent on the imports of either some major step of the production or the final products. This is the challenge that the domestic manufacturing industry is confronted with to adapt to rapidly changing market. Existing hull design processes typically start from the mother ship designs. Designers modify the characteristic values of the mother ship to meet the requirements first. After ship information is transformed to meet the requirements, the performance of the hull design is estimated. Then, the hull design and the performance estimation are analyzed and improved iteratively. However, when the design is modified in this process, the design process has to be repeated from the beginning all over again. This cumbersome process has to be repeated until the final hull design is acquired. As such, most of the hull design is based on the information from mother ships, which makes it difficult for domestic manufacturers to get into the market. This study proposes a hull design process for companies with limited or no database of hull design. The hull design process proposed in this study designs a hull through the requirement and the main dimensions using a parametric method. Then, the performance of the designed hull is estimated. Based on the estimations, necessary modifications and the improvements are made. This process is repeated until the hull design meets all the requirements. However, in this process, the hull design can be easily acquired through the proposed parametric design method. To validate the proposed hull generation process, an application in which the proposed process is applied is developed and presented. The hull is generated by main dimensions and characteristic values, and in order to validate the hull performance, resistance of the hull is calculated using the Savitskys estimation equation. Domestic manufacturers are severely lacking in the mother ship information to get started on a new design. It is expected that this study contributes for these companies to improve the ability to design the hulls without the mother ship information.Maste

    The effect of Army trainee perceived practical teaching competency on education outcomes through education engagement

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ต์œกํ•™๊ณผ(๊ต์œกํ•™์ „๊ณต), 2022.2. ๋ฐฑ์ˆœ๊ทผ.This study aims to analyze the effect of army trainee perceived practical teaching competency(APTC) on education outcomes(EO) through education engagement(EE). In this study, the following research questions were proposed and investigated. 1. How does army trainee perceived practical teaching competence of army instructor affect army traineeโ€™s education engagement? 2. How does army trainee perceived practical teaching competency of army instructor affect education outcomes? 3. How does army traineeโ€™s education engagement affect education outcomes? 4. How does army trainee perceived practical teaching competency of army instructor affect education outcomes, through the mediating effect of army traineeโ€™s education engagement? To address these questions, the following procedures and methods of reserch took place. First, โ€˜Army instructorโ€™s practical teaching competency scaleโ€™(AIPTC), โ€˜Army traineeโ€™s education engagement scaleโ€™(ATEE) and โ€˜Army traineeโ€™s army service attitude scaleโ€™(ATASA) were developed and validated to measure the corresponding constructs. The AIPTC is composed of 5 sub-constructs : โ‘  Planning and Organization, โ‘ก Communications, โ‘ข Interaction, โ‘ฃ Coordination, โ‘ค Sincerity and Enthusiasm. The ATEE is composed of 3 sub-constructs : โ‘  cognitive engagement, โ‘ก affective engagement, โ‘ข behavioral engagement. The ATASA is composed of 4 sub-constructs : โ‘  interest, โ‘ก self-confidence, โ‘ข impotance, โ‘ฃ usefulness. The scales were developed through a comprehensive literature review, then were confirmed for content validity by a group of education evaluation experts. Moreover, construct validity and reliability was confirmed by confirmatory factor analysis and cronbachโ€™s alpha. From 345 army trainee in Army training center in Korea were obtained as data for this study. The APTC was measured using AIPTC at last week of September(after two weeks from start of education). The EE was measured using ATEE at second week of October. The EO wa measured using ATASA and evaluation results of recruit training at fourth week of October. The data was then analyzed by descriptive statistics analysis, correlation analysis, and structural equation modeling(SEM) analysis to examine the relationship of APTC, EE and EO. The results are as follows. First, the correlation between APTC and EE was statistically significant (p<0.001, Pearson coefficient = .247) Among the components of APTC, โ€˜Coordinationโ€™ demonstrated highest correlation with EE. The SEM result also suggested that the path from APTC to EE was statistically significant(p<0.001, standardized coefficient = .253). Second, the correlation between APTC and EO was statistically significant (p<0.001, Pearson coefficient = .266) Among the components of APTC, โ€˜Coordinationโ€™ demonstrated highest correlation with EO. The SEM result also suggested that the path from APTC to EO was statistically significant(p<0.001, standardized coefficient = .174). Third, the correlation between EE and EO was statistically significant (p<0.001, Pearson coefficient = .462) Among the components of EE, โ€˜Cognitive engagementโ€™ demonstrated highest correlation with EO. The SEM result also suggested that the path from EE to EO was statistically significant(p<0.001, standardized coefficient = .419). Lastly, EE partially mediated the effect APTC has on EO. The statistical significance of these effects were tested using Sobel test and bootstrapping method, and the result showed that both direct effect and indirect effect were statistically significant. So, it is need to develop army instructorโ€™s practical teaching competency for the development of army traineeโ€™s education engagement and education out comes. keywords : practical competence, army instructor, education outcome, education engagement Student Number : 2020-24799์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ โ€˜ํ–‰ํ•˜๋Š” ๋Šฅ๋ ฅโ€™๊ณผ ๊ด€๋ จ์ด ์žˆ์œผ๋ฉฐ(๋ฐฑ์ˆœ๊ทผ, 2007), ํ•™์—…์„ฑ์ทจ๋„ ํ–ฅ์ƒ, ์ฆ‰ ์„ฑ๊ณต์ ์ธ ๊ต๊ณผ์ˆ˜์—…๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์„ฑ๊ณต์ ์ธ ๊ต๊ณผ๊ต์œก์„ ์œ„ํ•ด์„œ๋Š” ๊ต์ˆ˜์ž์˜ ํ˜„์žฌ ๊ต์ˆ˜์—ญ๋Ÿ‰(teaching competency)์„ ์ œ๋Œ€๋กœ ์ธก์ •, ํ‰๊ฐ€ํ•˜๊ณ  ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ”ผ๋“œ๋ฐฑ์„ ์ฃผ์–ด ๊ต์›์˜ ๊ต์ˆ˜์—ญ๋Ÿ‰์„ ํ‚ค์šฐ๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ํ•œํŽธ, ์œก๊ตฐ ์ฐจ์›์—์„œ๋„ ์ตœ๊ทผ ๋†’์€ ์ˆ˜์ค€์˜ ๊ต์œกํ›ˆ๋ จ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ๊ต๊ด€ ์—ญ๋Ÿ‰ ํ–ฅ์ƒ์„ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ๊ต์œก์„ ์‹ค์‹œํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๊ทธ ์ค‘์š”์„ฑ์€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ๊ตฐ ๊ต์œก์—์„œ ํ•™์Šต์ž์˜ ์ ๊ทน์ ์ธ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ตฐ ๊ต์œก์ƒ์˜ ๋Œ€๋‹ค์ˆ˜๊ฐ€ ๋น„์ž๋ฐœ์  ๊ต์œก์ƒ์ด๋ผ๋Š” ์ ๊ณผ ๊ต์œก ๋‚ด์šฉ์ด ์ƒ์†Œํ•˜๊ฑฐ๋‚˜ ์‹ค์ „์— ์ ์šฉํ•˜๊ธฐ ํž˜๋“ค์–ด ๊ต์œก ์ฐธ์—ฌ๋ฅผ ๋†’์ด๊ธฐ ์–ด๋ ต๋‹ค๋Š” ์ ์—์„œ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๊ต์œกํ•™ ์ฐจ์›์—์„œ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰๊ณผ ๊ต์œก ์ฐธ์—ฌ, ๊ทธ๋ฆฌ๊ณ  ๊ต์œก ์„ฑ๊ณผ๋Š” ์ง€์†์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด๋Š” ์—ฐ๊ตฌ ๋˜ํ•œ ๋‹ค์ˆ˜ ์ด๋ฃจ์–ด์กŒ๋‹ค. ํ•˜์ง€๋งŒ ๊ตฐ ์ฐจ์›์—์„œ ์„ธ ๋ณ€์ธ์— ๋Œ€ํ•œ ๊ฐœ๋… ์ •๋ฆฝ๊ณผ ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜๋Š” ๊ฒฝํ—˜๊ณผํ•™์  ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์„ ๊ธฐ์ดˆ๋กœ ์•ž์„œ ์–ธ๊ธ‰ํ•œ ์„ธ ๋ณ€์ธ ๊ฐ„์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•(SEM : Structural Equation Modeling)์„ ํ™œ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๋ฌธ์ œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 2. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก ์„ฑ๊ณผ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 3. ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ต์œก ์„ฑ๊ณผ์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€? 4. ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก์ƒ์˜ ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๊ฐ€ ๋งค๊ฐœํ•˜๋Š”๊ฐ€? ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐ ์ ˆ์ฐจ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์šฐ์„  ๊ฐ ๋ณ€์ธ์„ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์ฒ™๋„๋ฅผ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ์ฐธ๊ณ ํ•˜์—ฌ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ, ๊ต์œกํ•™ ๋ฐ•์‚ฌ์™€ ๋ฐ•์‚ฌ๊ณผ์ •์ƒ 8๋ช…์œผ๋กœ ๊ตฌ์„ฑ๋œ ์ „๋ฌธ๊ฐ€ํ˜‘์˜ํšŒ๋ฅผ ํ†ตํ•ด ์ฒ™๋„์˜ ๋‚ด์šฉํƒ€๋‹น๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๊ณ , ํ™•์ธ์  ์š”์ธ๋ถ„์„(CFA : Confirmatory Factor Analysis)์œผ๋กœ ๊ตฌ์ธํƒ€๋‹น๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, Cronbachโ€™s alpha ๊ณ„์ˆ˜๋ฅผ ํ™•์ธํ•˜์—ฌ ์‹ ๋ขฐ๋„๋ฅผ ์ ๊ฒ€ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์œ„ ๊ณผ์ •์„ 5๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 6๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰ ์ธก์ • ์ฒ™๋„, 3๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 3๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ ์ธก์ • ์ฒ™๋„, ๊ต์œก ์„ฑ๊ณผ ์ค‘ ์ •์˜์  ์˜์—ญ ์ธก์ •์„ ์œ„ํ•œ 4๊ฐœ์˜ ํ•˜์œ„ ๊ตฌ์„ฑ์š”์ธ๊ณผ ์š”์ธ๋ณ„ 3๊ฐœ์˜ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ตฐ ๋ณต๋ฌด ํƒœ๋„ ์ธก์ • ์ฒ™๋„ ๊ฐœ๋ฐœ์— ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ ๋ชจ๋“  ์ฒ™๋„์˜ ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„๊ฐ€ ์ „๋ฐ˜์ ์œผ๋กœ ์–‘ํ˜ธํ•˜์˜€๋‹ค. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์„ ์œ„ํ•ด ๋…ผ์‚ฐ์— ์œ„์น˜ํ•œ ์œก๊ตฐํ›ˆ๋ จ์†Œ์˜ ์‹ ๋ณ‘ ๊ต์œก์„ ์œ„ํ•ด ์ž…์†Œํ•œ ๊ต์œก์ƒ 345๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ณธ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ฐ ๋ณ€์ธ ๊ฐ„์˜ ์ธ๊ณผ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด 2021๋…„ 9์›” ๋„ท์งธ ์ฃผ์— ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œ, 10์›” ๋‘˜์งธ ์ฃผ์— ๊ต์œก ์ฐธ์—ฌ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ๋งˆ์ง€๋ง‰์œผ๋กœ 10์›” ๋„ท์งธ ์ฃผ์— ๊ต์œก ์„ฑ๊ณผ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ˆ˜์ง‘ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ธฐ์ˆ ํ†ต๊ณ„, ์ƒ๊ด€๊ด€๊ณ„, ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋“ฑ์„ ๋ถ„์„ํ•˜์—ฌ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ์˜ ๊ตฌ์กฐ์ ์ธ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์ฐธ์—ฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .255๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.001) ๋‘˜์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์€ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .154๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.01) ์…‹์งธ, ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ๋Š” ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ต์œก ์ฐธ์—ฌ๊ฐ€ ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‘œ์ค€ํ™” ๊ณ„์ˆ˜๋Š” .415๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.(p<.001) ๋„ท์งธ, ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜ ์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก์ƒ์˜ ๊ต์œก์ฐธ์—ฌ์˜ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งค๊ฐœํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•œ Sobel ๊ฒ€์ฆ ๊ฒฐ๊ณผ, Sobel ๊ฒ€์ • ํ†ต๊ณ„๋Ÿ‰์€ 3.654๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€์œผ๋ฉฐ(p<.001) ๊ฐ„์ ‘ํšจ๊ณผ์— ๋Œ€ํ•œ ๋ถ“์ŠคํŠธ๋žฉ ๊ฒ€์ฆ ๊ฒฐ๊ณผ๋„ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค(p<.001). ์š”์ปจ๋Œ€ ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๊ต์œก์ƒ์ด ์ง€๊ฐํ•œ ์œก๊ตฐ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์™€ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ๊ต์œก ์ฐธ์—ฌ ์—ญ์‹œ ๊ต์œก ์„ฑ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค๊ณ , ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ๊ต์œก ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ต์œก ์ฐธ์—ฌ์˜ ๋งค๊ฐœํšจ๊ณผ๋Š” ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ต์œก์ƒ์˜ ๊ต์œก ์ฐธ์—ฌ์™€ ๊ต์œก ์„ฑ๊ณผ๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์ด ์ค‘์š”ํ•˜๋ฉฐ, ๊ต๊ด€์˜ ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰์„ ๋†’์ด๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅ๊ณผ ์ง€์›์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์ฃผ์š”์–ด : ์œก๊ตฐ ๊ต๊ด€, ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ, ์ฒ™๋„ ๊ฐœ๋ฐœ ๋ฐ ํƒ€๋‹นํ™” ํ•™ ๋ฒˆ : 2020-24799โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 2. ์—ฐ๊ตฌ ๋ฌธ์ œ 4 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 5 1. ๊ต์ˆ˜ ์—ญ๋Ÿ‰(teaching competency) 5 2. ๊ต์œก ์ฐธ์—ฌ 15 3. ๊ต์œก ์„ฑ๊ณผ 21 4. ์‹ค์ฒœ์  ๊ต์ˆ˜์—ญ๋Ÿ‰, ๊ต์œก ์ฐธ์—ฌ, ๊ต์œก ์„ฑ๊ณผ ๊ฐ„์˜ ๊ด€๊ณ„ 26 โ…ข. ์—ฐ๊ตฌ ๊ฐ€์„ค 30 1. ์ฃผ์š” ๋ณ€์ธ ์„ค์ • ๋ฐ ์ •์˜ 30 2. ์—ฐ๊ตฌ ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ๋ชจํ˜• 32 โ…ฃ. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 34 1. ์—ฐ๊ตฌ ๋Œ€์ƒ 34 2. ์ธก์ • ๋„๊ตฌ 35 3. ์—ฐ๊ตฌ ์ ˆ์ฐจ 65 4. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 66 โ…ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 68 1. ๊ธฐ์ดˆํ†ต๊ณ„ 68 2. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜• ๋ถ„์„ 73 โ…ฅ. ์š”์•ฝ ๋ฐ ๋…ผ์˜ 79 1. ์š”์•ฝ 79 2. ๋…ผ์˜ 81 ์ฐธ๊ณ ๋ฌธํ—Œ 86 ๋ถ€๋ก 95 Abstract 103์„

    Material behaviors under extreme conditions: large plastic strain, high strain rate and cryogenic temperature, and shock consolidation

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    Doctor๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ทนํ•œ ํ™˜๊ฒฝ ํ•˜์—์„œ ์žฌ๋ฃŒ ๋ณ€ํ˜• ์‹œ ๋ฐœ์ƒํ•˜๋Š” ๊ธฐ๊ณ„์  ๊ทธ๋ฆฌ๊ณ  ๋ฏธ์„ธ์กฐ์ง์  ๋ณ€ํ™”๋ฅผ ๋‹ค์Œ ์„ธ ์กฐ๊ฑด๋“ค์— ์ง‘์ค‘ํ•˜์—ฌ ์—ฐ๊ตฌํ•˜์˜€๋‹ค: ์†Œ์„ฑ ๋Œ€ ๋ณ€ํ˜•, ๊ทน์ €์˜จ ๋™์  ๋ณ€ํ˜•, ๊ทธ๋ฆฌ๊ณ  ์ถฉ๊ฒฉํŒŒ๋ฅผ ์ด์šฉํ•œ ๋ถ„๋ง ์น˜๋ฐ€ํ™”์ด๋‹ค. ์–ธ๊ธ‰๋œ ๊ทนํ•œ ์กฐ๊ฑด๋“ค์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ตœ๊ทผ ์ฃผ๋ชฉ ๋ฐ›๊ณ  ์žˆ๋Š” ๊ทนํ•œ ํ™˜๊ฒฝ ํ•˜ ์žฌ๋ฃŒ์˜ ์‚ฌ์šฉ์— ํ•„์ˆ˜์ ์ธ ์ฒ™๋„๋ฅผ ์ œ๊ณตํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ณ€ํ˜• ํ›„ ํš๋“๋˜๋Š” ๊ฐœ์„ ๋œ ์žฌ๋ฃŒ ๋ฌผ์„ฑ์„ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๋ฌผ์„ฑ์˜ ์žฌ๋ฃŒ ์˜์—ญ์„ ํ™•์žฅ ํ•  ์ˆ˜ ์žˆ์–ด ์—ฐ๊ตฌ์ž๋“ค์˜ ์ง‘์ค‘์ ์ธ ๊ด€์‹ฌ์„ ๋Œ๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฐ ์ด์œ ์™€ ์žฅ์ ์— ๋”ฐ๋ผ ๊ฐ ๊ทนํ•œ ์กฐ๊ฑด๋“ค์— ๋Œ€ํ•ด ์„ธ ๋ถ„์•ผ์— ๋Œ€ํ•œ ๋‹ค์Œ ์„ธ๋ถ€ ์—ฐ๊ตฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. 1) ์ด์ƒ์˜ (two phase) ์ „์œ„ ๋ฐ€๋„ ๊ธฐ๋ฐ˜์˜ ๊ตฌ์„ฑ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์—ฌ ๊ณ ์•• ๋น„ํ‹€๋ฆผ ๊ณต์ •์„ ๊ฐ€ํ•œ ์žฌ๋ฃŒ์˜ ๊ธฐ๊ณ„์  ๊ทธ๋ฆฌ๊ณ  ๋ฏธ์„ธ์กฐ์ง์  ์ง„ํ™”๋ฅผ ๋ชจ๋ธ๋ง, 2) ๊ทน์ €์˜จ ๋™์  ๋ณ€ํ˜• ์กฐ๊ฑด์ด ์žฌ๋ฃŒ์˜ ๋ฏธ์„ธ์กฐ์ง ์ง„ํ™”์™€ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ถ„์„, ๊ทธ๋ฆฌ๊ณ  3) ์ถฉ๊ฒฉํŒŒ๋‚ด์˜ ๋‚˜๋…ธ/์ดˆ๋ฏธ์„ธ๋ฆฝ ์ž…์ž๋“ค์˜ ๊ฑฐ๋™ ํ•ด์„์ด๋‹ค. ์ฒซ ๋ฒˆ์งธ ์ฃผ์ œ์—์„œ๋Š”, ์†Œ์„ฑ ๋Œ€ ๋ณ€ํ˜•์ด ๊ฐ•๋„์™€ ์—ฐ์„ฑ์˜ ์ฆ๊ฐ€๋ฅผ ๋ถˆ๋Ÿฌ์˜ค๋Š” ์ดˆ๋ฏธ์„ธ๋ฆฝ/๋‚˜๋…ธ๊ฒฐ์ •๋ฆฝ ๋ฒŒํฌ ์žฌ๋ฃŒ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์ธ ๊ฒƒ์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฐ ๊ณต์ •์„ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด์„ํ•˜๊ธฐ ์œ„ํ•ด ์ด์ „์—” ์ œ์•ˆ๋˜์ง€ ์•Š์•˜๋˜ ์œก๋ฐฉ๋ฐ€์ง‘ ๊ตฌ์กฐ์žฌ๋ฃŒ์— ๋Œ€ํ•œ ์ด์ƒ๋ชจ๋ธ์„ ์ƒˆ๋กญ๊ฒŒ ๊ฐœ๋ฐœํ•˜์—ฌ ์ด๋ฅผ ์œ ํ•œ์š”์†Œํ•ด์„์— ์ ์šฉํ•˜์—ฌ ๊ณต์ •์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ๋ชจ๋ธ์€ ์œก๋ฐฉ๋ฐ€์ง‘ ๊ตฌ์กฐ์žฌ๋ฃŒ์˜ ํŠน์ดํ•œ ๋‘ ๊ฐ€์ง€ ๋ณ€ํ˜• ๊ธฐ๊ตฌ์ธ, ๋ถˆํ™”ํ•ฉ ์‘๋ ฅ๊ณผ ์Œ์ •์„ ํฌํ•จํ•˜์˜€์œผ๋ฉฐ, ์ œ์•ˆ๋œ ๋ชจ๋ธ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์†Œ์„ฑ ๋Œ€ ๋ณ€ํ˜•์„ ๊ฐ€ํ•œ ์ƒ์šฉ ์ˆœ์ˆ˜ ํƒ€์ดํƒ€๋Š„์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹คํ—˜์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ณ€ํ˜•์— ๋”ฐ๋ฅธ ์†Œ์„ฑ ๊ฐ€๊ณต ๊ฑฐ๋™๊ณผ ๋ณ€ํ˜•๋ฅ  ์†๋„ ๋ฏผ๊ฐ์„ฑ์˜ ๋ณ€ํ™”๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ์ œ์•ˆ๋œ ๋ชจ๋ธ์ด ์ข€ ๋” ๋ฒ”์šฉ์ ์œผ๋กœ ๋‹ค๋ฅธ ์œก๋ฐฉ๋ฐ€์ง‘ ๊ตฌ์กฐ์žฌ๋ฃŒ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ์ฃผ์ œ์—์„œ๋Š”, ๊ทน์ €์˜จ๊ณผ ๋™์  ๋ณ€ํ˜•์ด ์žฌ๋ฃŒ์˜ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ๊ธฐ๊ณ„์  ๊ฑฐ๋™์— ๋šœ๋ ทํ•œ ๋ณ€ํ™”๋ฅผ ๊ฐ€์ ธ์˜จ๋‹ค๋Š” ๊ฒƒ์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ™•์ธ ํ•˜๊ธฐ ์œ„ํ•ด ๋ณ€ํ˜• ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ํ•ด์„์„ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ฒด๊ณ„์ ์œผ๋กœ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋‹ค์Œ ์„ธ ๊ฐ€์ง€์˜ ๋ณ€ํ˜• ์กฐ๊ฑด์—์„œ ์ˆœ์ˆ˜ ๊ตฌ๋ฆฌ์— ๋Œ€ํ•œ ๋‹จ์ผ ์ถ• ๊ทธ๋ฆฌ๊ณ  ๋‹ค ์ถ• ๋ณ€ํ˜•์„ 6๋‹จ๊ณ„๋กœ ์‹ค์‹œํ•˜์˜€๋‹ค: ์ •์  ๋ฐ ์ƒ์˜จ, ๋™์  ๋ฐ ์ƒ์˜จ, ๊ทธ๋ฆฌ๊ณ  ๋™์  ๋ฐ ๊ทน์ €์˜จ. ์ด 36 ๋‹จ๊ณ„์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์—ฌ, ๋ณ€ํ˜•๋ฅ  ์†๋„, ์˜จ๋„, ๊ทธ๋ฆฌ๊ณ  ๋ณ€ํ˜• ๋ฐฉํ–ฅ์ด ๋ฏธ์„ธ์กฐ์ง์˜ ์ง„ํ™”์™€ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด, ๋‹ค์Œ์˜ ๋„ค ๊ฐ€์ง€์˜ ๋ฏธ์„ธ์กฐ์ง ์ง„ํ™” ํ˜•ํƒœ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค: ์ „์œ„ ๋ฏธ๋„๋Ÿฌ์ง๋งŒ์„ ๋ณ€ํ˜• ๊ธฐ๊ตฌ๋กœ ๊ฐ–๊ฑฐ๋‚˜ ์ „์œ„ ๋ฏธ๋„๋Ÿฌ์ง๊ณผ ๋ณ€ํ˜• ์Œ์ • ๋ชจ๋‘๋ฅผ ๋ณ€ํ˜•๊ธฐ๊ตฌ๋กœ ๊ฐ–๋Š” ๋‹จ์ผ์ถ• ๋ฐ ๋‹ค์ถ• ๋ณ€ํ˜•์„ ํ†ตํ•œ ์„œ๋กœ ๋‹ค๋ฅธ ๋ฏธ์„ธ์กฐ์ง ์ง„ํ™” ๊ฒฝํ–ฅ๋“ค์ด ์–ป์–ด์กŒ๋‹ค. ๋น„๋ก, ๊ทนํ•œ ๋ณ€ํ˜•์„ ํ†ตํ•ด ๊ฐœ์„ ๋œ ๊ธฐ๊ณ„์  ๊ฐ•๋„๋ฅผ ๋ณด์—ฌ์ฃผ๋Š” ๊ท ์ผํ•˜๊ณ  ์ „์ฒด์ ์œผ๋กœ ์Œ์ •ํ™” ๋œ ๋ฏธ์„ธ์กฐ์ง์ด ์–ป์–ด์กŒ์ง€๋งŒ, ๋ณ€ํ˜• ํ›„ ์‹œํŽธ์˜ ๋‚ฎ์€ ์—ฐ์„ฑ๊ณผ ๋ฏธ์„ธ์กฐ์ง์  ๋ถˆ์•ˆ์ •์„ฑ, ๋ถ€๋ถ„ ์žฌ๊ฒฐ์ •ํ™”, ๋“ฑ์˜ ๋ฌธ์ œ๊ฐ€ ์—ญ์‹œ ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ์ฃผ์ œ์—์„œ๋Š”, ๊ทน๋„๋กœ ์งง์€ ์‹œ๊ฐ„ ๋™์•ˆ ๋†’์€ ๊ณ ์••์„ ํ˜•์„ฑํ•˜๋Š” ์ถฉ๊ฒฉํŒŒ ๋‚ด์—์„œ ์ดˆ๋ฏธ์„ธ๋ฆฝ/๋‚˜๋…ธ ๋ถ„๋ง ์ž…์ž๋“ค์˜ ๊ฑฐ๋™์— ์ดˆ์ ์„ ๋งž์ท„์œผ๋ฉฐ, ๋จผ์ € ๋‹จ์ผ ๊ฐ€์Šค ์ด ์‹œ์Šคํ…œ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ƒ์˜จ ํ•˜์—์„œ ์ดˆ๋ฏธ์„ธ๋ฆฝ ๊ตฌ๋ฆฌ ๋ถ„๋ง์„ ์ถฉ๊ฒฉํŒŒ ์น˜๋ฐ€ํ™” ํ•˜์—ฌ ๋‚˜๋…ธ/์ดˆ๋ฏธ์„ธ๋ฆฝ ๊ตฌ์กฐ์˜ ๋ฒŒํฌ ์žฌ๋ฃŒ๋ฅผ ์ œ์ž‘ํ•˜์˜€๋‹ค. ๋ถ„์„์„ ํ†ตํ•ด ๊ทน๋„๋กœ ๋†’์€ ์ „์œ„ ๋ฐ€๋„์™€ ๊ฒฐ์ •๋ฆฝ ํฌ๊ธฐ์˜ ๊ฐ์†Œ๋ฅผ ์ถฉ๊ฒฉ ๋ณ€ํ˜•์„ ํ†ตํ•ด ํš๋“ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๊ธฐ๊ณต ์น˜๋ฐ€ํ™”์— ๋”ฐ๋ฅธ ์ถ”๊ฐ€ ์ „์œ„ ํ˜•์„ฑ์„ ๊ณ ๋ คํ•˜๋Š” ๋ฏธ์„ธ์กฐ์ง ์ง„ํ™” ๋ชจ๋ธ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด๋ ‡๊ฒŒ ํ˜•์„ฑ๋œ ๋†’์€ ์ „์œ„ ๋ฐ€๋„๋Š” ๋งค์šฐ ๋ถˆ์•ˆ์ •ํ•œ ์ƒํƒœ๋กœ ์ถฉ๊ฒฉ ํ›„ ๋ณ€ํ˜• ์‹œ ๊ธ‰๊ฒฉํ•˜๊ฒŒ ๊ฐ์†Œํ•˜๊ฒŒ ๋˜์–ด ์ถ”๊ฐ€ ๋ณ€ํ˜•์„ ํ†ตํ•ด ๊ฒฐ์ •๋ฆฝ ํฌ๊ธฐ๊ฐ€ ๊ฐ์†Œํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๊ธฐ๊ณ„์  ๊ฒฝ๋„์˜ ๊ฐ์†Œ๋ฅผ ๋ถˆ๋Ÿฌ์™”๋‹ค. ๋˜ํ•œ, ๋ถ„๋ง์˜ ์ถฉ๊ฒฉํŒŒ ๋‚ด ๊ฑฐ๋™์„ ์ข€ ๋” ์ฒด๊ณ„์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ดˆ๊ธฐ ๋ฐ€๋„์—์„œ ์ถฉ๊ฒฉํŒŒ ์น˜๋ฐ€ํ™”๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ, ๋ณ€ํ˜• ํ˜•์ƒ ๋ฐ ์ „์œ„ ๋ฐ€๋„, ๊ทธ๋ฆฌ๊ณ  ๊ธฐ๊ณ„์  ํŠน์„ฑ๋“ค์—์„œ ๋šœ๋ ทํ•œ ์ฐจ์ด๊ฐ€ ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด๋Š” ์ดˆ๊ธฐ ๋ฐ€๋„์— ๋”ฐ๋ผ ๋†’์€ ๊ทน๋ถ€ ๋ณ€ํ˜•์„ ์•ผ๊ธฐํ•˜๋Š” ๊ด€์„ฑ ๋ณ€ํ˜•์˜ ํšจ๊ณผ๊ฐ€ ์‚ฌ์šฉ๋œ ๊ณต์ • ์กฐ๊ฑด์—์„œ ๋ฏธ๋ฏธํ•จ์— ๋”ฐ๋ผ ๊ฒฐ๊ณผ์ ์œผ๋กœ ๋น„์Šทํ•œ ๋ณ€ํ˜•๋Ÿ‰์ด ๋ถ„๋ง์— ๊ฐ€ํ•ด์กŒ๊ธฐ ๋•Œ๋ฌธ์ด์—ˆ์Œ์„ ๋ฒŒํฌ ๊ทœ๋ชจ์™€ ๋ถ„๋ง ๊ทœ๋ชจ์˜ ๋‘ ๋‹จ๊ณ„ ๊ทœ๋ชจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์‹คํ—˜๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ๊ฒฐ๊ณผ๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ, ์ถฉ๊ฒฉ ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ์ตœ์ข… ์น˜๋ฐ€ํ™” ํŠน์„ฑ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ถฉ๊ฒฉ ์น˜๋ฐ€ํ™” ์ง€๋„๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๊ณ , ๊ทธ ํ™•์ •์„ฑ์— ๋Œ€ํ•ด์„œ ํ† ์˜ํ•˜์˜€๋‹ค.Recently, various extreme conditions for the deformation of materials were investigated not only to manufacture bulk nanocrystalline materials having interesting properties but also to analyze and understand the responses of materials under these conditions. Both reasons are very required to scientists or engineers these day due to demands for advanced materials having improved properties by designing microstructures, and the comprehensive understanding of the extreme phenomena that occur in the materials under some unusual applications, such as low temperature, aerospace, and defense materials. As a result of these needs, the following three extreme conditions were largely studied: large plastic strain, dynamic deformation at cryogenic, and shock consolidation. The aim of this thesis is to expand our knowledge about the behavior and microstructure of materials under three extreme conditions that are mentioned above. Accordingly, the thesis is divided into three parts that have the following sub-objectives: 1) modelling of the evolution of mechanical and microstructural properties on the materials processed by high-pressure torsion by developing two-phase dislocation-density based constitutive model, 2) studying the influences of dynamic deformation at cryogenic temperature on the microstructural evolution and mechanical properties, and 3) investigating the response of nano/ultrafine particles under shock wave. In the first category, the brief summary is as follows. Severe plastic deformation (SPD) is considered as an effective pathway to obtain ultrafine-grained/nanocrystalline bulk materials with high strength and ductility. We are developing a new tow-phase constitutive model, in which dislocation cell walls and cell interiors are regarded as separate โ€˜phasesโ€™. In considering the dislocation evolution, exchange of dislocations between the two โ€˜phasesโ€™ is included. The effect of deformation twinning on the microstructure evolution is also considered. To account for the limited availability of slip systems in hcp materials, an incompatibility stress, which evolves with strain, is introduced. The model has the capability of predicting the microstructural variation of the material, including the evolution of grain size, misorientation angle distribution and the twinned volume fraction, as well as the attendant mechanical properties, under SPD. The finite element method (FEM) simulations of the mechanical behavior of commercial purity Ti processed by SPD (specifically, by high-pressure torsion) were validated experimentally. It was demonstrated that the model can successfully reproduce the strain hardening behavior and the strain rate sensitivity of titanium. It is believed that the model has a more general applicability and can be used for numerical simulations of large-strain deformation of other hcp materials, as well. In the second part, the contents of research can be simply described as follows. Step-wise deformations were applied on pure copper along uniaxial direction and multiaxial directions at three conditions: static and room temperature, dynamic and room temperature, and dynamic and low temperature. Through examining total 36 stages the influences of strain rate, temperature, and deformation direction on microstructural evolution and mechanical properties have been investigated. According to the results, deformation mechanism was changed from only dislocation slips to dislocation slips and deformation twinning at extreme conditionsโ€”high strain rate and low temperature. Although changing deformation direction has no effect on the mechanical properties and total dislocation densities measured from X-ray diffraction results, the evolutions of misorientation boundaries and geometrically necessary dislocations were clearly influenced. The development trend of microstructure showing larger grain size and lower geometrically necessary dislocation densities by multi-axial deformations than the uniaxial case was reversed when twinning occurred. Based on the results, we suggest four schematic evolution models: uniaxial and multi axial cases with dislocation slip, or with dislocation slip and deformation twining. Even if homogenous and almost fully twinned microstructure giving improved mechanical strength was obtained by extreme deformations, poor ductility of the post-deformation specimen and instability in microstructure, e.g. partial recrystallization, were observed. In the third part, the particles under shock wave were investigated with the following flows. Shock consolidation of ultrafine copper powders at room temperature for bulk nano/ultrafine structured materials is achieved in a gas gun system. The stress states in the powders during the shock consolidation process are analyzed using the FEM associated with the dynamic densification model (P-ฮฑ model). The recovered specimens were investigated for the crystallite sizes and dislocation densities using the Convolution Multiple Whole Profile method. The shock-consolidated specimens were highly densified over 98% of relative density with uniform spatial distributions of high hardness. Moreover, the extremely high dislocation density and the refinement of the crystallite size via the shock deformations were achieved. A microstructure model is proposed for the extremely high dislocation density, where dislocations are generated not only by shock waves but also by plastic flow during the void collapses. The strengths of the shock-consolidated specimen are slightly decreased during the post-shock deformations due to a decrease in the excess dislocations despite further refinement of the crystallite size. In order to investigate the effect of initial densities of the powers, nano/ultrafine scale copper powders with different initial densities, 35%, 70%, 80%, and 90% of relative densities, were also shock consolidated. While larger fluctuations in particle flows were observed at micro-scale in lower initial relative density (IRD), no distinct changes in deformation morphologies, dislocation densities, and mechanical properties were found except non-full compaction in the powders from 35% of IRD. From two-scale simulations, bulk-scale and particle-scale, it was concluded that the inertial deformation leading localized large plastic strain was weak and consequently similar strain was achieved in the compacts. In addition, the fluctuation at micron scale observation was found to be attributed to the soft agglomerates. By combining the results of the experiment and the simulations, the shock compaction map have been developed and the possibility of their expansion into higher shock velocities was discussed

    ์„œ์šธ๋Œ€ํ•™๊ต ๋„์„œ๊ด€๋ณด 141ํ˜ธ

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