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논문 기본 정보

자료유형
학위논문
저자정보

주무영 (창원대학교, 창원대학교 대학원)

지도교수
정영웅
발행연도
2022
저작권
창원대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (2)

초록· 키워드

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Mechanical behavior of polycrystal metal is often significantly deviated from various assumptions made in the classical plasticity theories. Not only the anisotropy hardening but also Bauschinger effect becomes evident in complex loading scenarios, which may play important role during metal forming operations. Several phenomenological and crystal plasticity models have been developed and reported in the literature, which is targeted to capture these “unconventional” behaviors that the classical plasticity theory cannot explain. Our focus in this study is on the crystal plasticity model, which can explain the behavior of materials in consideration of the slip system and the microstructure of the material.
Among various crystal plasticity models reported in the literature, the ΔEVPSC model was chosen for the current investigation. This model can be used not only as a stand-alone code but also as user material subroutine for finite element analysis. Model characterization was performed using the dislocation density-based RGVB hardening model for a chosen low-carbon mild steel. The steel sample is also referred as EDDQ (extra deep drawing quality) and is used in various automotive components.
The RGVB hardening model parameters were calibrated by fitting with various experimental stress-strain curves resulting from monotonic uniaxial stress-strain curve and a set of experiments in which strain path changes. In addition, loading unloading reloading experiment and three-point bending with a pre-strain test was performed using the calibrated parameters. The experimental trend of decreasing Young''s modulus was qualitatively captured by the model. Moreover, the experimental trend in which the increase in pre-strain leads to increase in the springback amount was captured by the model. The overall predictive accuracy of the model is reasonable. Several modelling suggestions, which can potentially improve the quantitative prediction accuracy, are discussed.

목차

I. 서론 7
II. 연구방법 13
1. 결정소성 모델 13
2. 단결정의 탄성 점소성 14
3. 다결정의 탄성 점소성 15
4. 유한요소해석 적용 18
5. 전위 밀도 기반 경화 모델 20
III. 실험 방법 23
1. 재료의 슬립 시스템 23
2. 미세조직 및 집합조직 분석 23
3. 역학 실험 설계 26
4. 변수 최적화 실험 27
5. 모델 검증 실험 34
IV. 실험 결과 46
1. EBSD 분석 결과 46
2. EDDQ 변수 최적화 실험 결과 48
3. EDDQ 검증 실험 결과 58
V. 실험 결론 및 논의 70
1. 변수 최적화 실험 70
2. 모델 검증 실험 72
VI. 참고 자료 74
Abstrack................................................................................................77
감사의 글................................................................................................78

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