RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      인공신경망과 유전 알고리즘을 이용한 분할 블랭크 홀더 스탬핑 공정의 성형성 향상에 관한 연구 = A Study on Improving Formability of Stamping Processes with Segmented Blank Holders using Artificial Neural Network and Genetic Algorithm

      한글로보기

      https://www.riss.kr/link?id=A108775742

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The field of sheet metal forming using press technology has become essential in modern mass production systems. Draw bead is often used to enhance formability. However, optimal draw bead design often requires excessive time and cost due to iterative experimentation and sometimes results in some defects. Given these challenges, there is a need to enhance formability by introducing segmented blank holders without draw beads. In this paper, the feasibility of a localized holding strategy using segmented blank holders is evaluated without the use of draw beads. The possibility for improving the formability was evaluated by utilizing a combination of the forming limit diagram and the wrinkle pattern-based defect indicators. Artificial neural networks were used for predicting defect indicators corresponding to arbitrary input holding forces and the NSGA-II optimization algorithm is used to find optimum blank holder forces yielding better defect indicators than the original process with drawbeads. Using optimum holding forces obtained from the proposed procedure, the stamping process with the segmented blank holders can yield better formability than the conventional process with drawbeads.
      번역하기

      The field of sheet metal forming using press technology has become essential in modern mass production systems. Draw bead is often used to enhance formability. However, optimal draw bead design often requires excessive time and cost due to iterative e...

      The field of sheet metal forming using press technology has become essential in modern mass production systems. Draw bead is often used to enhance formability. However, optimal draw bead design often requires excessive time and cost due to iterative experimentation and sometimes results in some defects. Given these challenges, there is a need to enhance formability by introducing segmented blank holders without draw beads. In this paper, the feasibility of a localized holding strategy using segmented blank holders is evaluated without the use of draw beads. The possibility for improving the formability was evaluated by utilizing a combination of the forming limit diagram and the wrinkle pattern-based defect indicators. Artificial neural networks were used for predicting defect indicators corresponding to arbitrary input holding forces and the NSGA-II optimization algorithm is used to find optimum blank holder forces yielding better defect indicators than the original process with drawbeads. Using optimum holding forces obtained from the proposed procedure, the stamping process with the segmented blank holders can yield better formability than the conventional process with drawbeads.

      더보기

      참고문헌 (Reference)

      1 허훈 ; 김세호 ; 김승호 ; 송정한, "해석적인 방법을 이용한 복잡한 형상의 자동차 부재 스탬핑 공정에서의 주요 설계인자 연구" 한국소성∙가공학회 14 (14): 21-28, 2005

      2 곽민준 ; 박지우 ; 박근태 ; 강범수, "초고강도 판재 다점성형공정에서의 인공신경망을 이용한 2중 곡률 스프링백 예측모델 개발" 한국소성∙가공학회 29 (29): 76-88, 2020

      3 박종새 ; 김승호 ; 허훈, "박판 성형공정에서의 등가 경계조건 계산을 위한 드로우비드 성형의 탄소성 유한요소 해석 - Part Ⅰ : 등가 경계조건 계산" 한국소성∙가공학회 11 (11): 503-512, 2002

      4 최예지 ; 최연규 ; 김권석 ; 장동우, "다목적 유전 알고리즘을 이용한 상수관망의 최적 설계 연구" (사)위기관리이론과실천 19 (19): 67-77, 2023

      5 A. L. Maas, "Rectifier Nonlinearities Improve Neural Network Acoustic Models" 28 (28): 2013

      6 J. Blank, "Pymoo : Multi-Objective Optimization in Python" 8 : 89497-89509, 2020

      7 T. Yagami, "Intelligent Sheet Stamping Process using Segment Blankholder Modules" 155-156 : 2099-2105, 2004

      8 S. K. Paul, "Controlling Factors of Forming Limit Curve: A Review" 2 (2): 2021

      9 D. P. Kingma, "Adam: A Method for Stochastic Optimization"

      10 M. Brun, "Active Control of Blankholder in Sheet Metal Stamping" 100 : 151-156, 2021

      1 허훈 ; 김세호 ; 김승호 ; 송정한, "해석적인 방법을 이용한 복잡한 형상의 자동차 부재 스탬핑 공정에서의 주요 설계인자 연구" 한국소성∙가공학회 14 (14): 21-28, 2005

      2 곽민준 ; 박지우 ; 박근태 ; 강범수, "초고강도 판재 다점성형공정에서의 인공신경망을 이용한 2중 곡률 스프링백 예측모델 개발" 한국소성∙가공학회 29 (29): 76-88, 2020

      3 박종새 ; 김승호 ; 허훈, "박판 성형공정에서의 등가 경계조건 계산을 위한 드로우비드 성형의 탄소성 유한요소 해석 - Part Ⅰ : 등가 경계조건 계산" 한국소성∙가공학회 11 (11): 503-512, 2002

      4 최예지 ; 최연규 ; 김권석 ; 장동우, "다목적 유전 알고리즘을 이용한 상수관망의 최적 설계 연구" (사)위기관리이론과실천 19 (19): 67-77, 2023

      5 A. L. Maas, "Rectifier Nonlinearities Improve Neural Network Acoustic Models" 28 (28): 2013

      6 J. Blank, "Pymoo : Multi-Objective Optimization in Python" 8 : 89497-89509, 2020

      7 T. Yagami, "Intelligent Sheet Stamping Process using Segment Blankholder Modules" 155-156 : 2099-2105, 2004

      8 S. K. Paul, "Controlling Factors of Forming Limit Curve: A Review" 2 (2): 2021

      9 D. P. Kingma, "Adam: A Method for Stochastic Optimization"

      10 M. Brun, "Active Control of Blankholder in Sheet Metal Stamping" 100 : 151-156, 2021

      11 R. Hill, "A Theory of the Yielding and Plastic Flow of Anisotropic Metals" 193 (193): 281-297, 1948

      12 J. Blank, "A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms" 1-8, 2020

      13 M. A. Hassan, "A Novel Technique of Friction Aided Deep Drawing using a Blank-holder Divided into Four Segments" 139 (139): 408-413, 2003

      14 K. Deb, "A Fast and Elitist Multiobjective Genetic Algorithm:NSGA-II" 6 (6): 182-197, 2002

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼