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학술연구

최적화 알고리즘과 유한요소해석을 연동한 초저온용 접착제 전단 평가 시편 설계

원문정보

Optimization-Driven Design of Lap Shear Specimens for Cryogenic Adhesives Using Finite Element Analysis

표창민, 김성환, 김재웅, 이소정, 김준기

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Liquid hydrogen, a promising energy carrier, necessitates robust storage and transportation systems due to its extremely low boiling point. Consequently, the development of reliable cryogenic adhesives and standardized testing protocols is crucial. This study focused on optimizing the design of a gripper used in single lap shear tests for evaluating cryogenic adhesives, specifically targeting the challenges posed by low-temperature conditions that induce slippage at the gripper interface. The optimal design was performed using a total of five variables, including the position and size of the gripper. By employing the genetic algorithm coupled with finite element analysis, we exhaustively searched through over 1000 models to identify the optimal gripper geometry. We successfully minimized stress concentration at the gripper region while maintaining a uniform stress distribution on the non-bonded surface. Furthermore, the study explored the impact of symmetric versus asymmetric gripper configurations on test results. The findings revealed that symmetric grippers generally yielded more consistent and reliable data. This study's results enable the accurate and stable execution of lap shear tests under the temperature conditions of liquefied hydrogen.

목차

Abstract
1. 서론
2. 연구 방법
2.1 기존 연구 분석
2.2 연구 절차 및 소프트웨어
2.3 시뮬레이션 모 델
2.4 최적 모 델 도출 과정
2.5 최적화 알고리 즘
3. 결과
4. 논의
5. 결론
후기
References

저자정보

  • 표창민 Changmin Pyo. Korea Institute of Industrial Technology
  • 김성환 Sunghwan Kim. Korea Institute of Industrial Technology
  • 김재웅 Jaewoong Kim. Korea Institute of Industrial Technology
  • 이소정 Sojeong Lee. Korea Institute of Industrial Technology
  • 김준기 Junki Kim. Korea Institute of Industrial Technology, Principal Researcher

참고문헌

자료제공 : 네이버학술정보

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