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      KCI등재 SCIE

      Study on Relationship between Design Parameters and Formability in Flexible Stretch Forming Process

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      https://www.riss.kr/link?id=A103729360

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      다국어 초록 (Multilingual Abstract)

      In the present work, relationships between the design parameters and the quality of aluminum sheets formed by the flexible stretch forming process (FSFP) were studied. The punch size, objective curvature radius, and elastic pad thickness were selected...

      In the present work, relationships between the design parameters and the quality of aluminum sheets formed by the flexible stretch forming process (FSFP) were studied. The punch size, objective curvature radius, and elastic pad thickness were selected as the design parameters. The forming quality was expressed as the shape error, which can be defined by error values at the sampling points. The analytical dataset used to obtain the relationships was collected by means of a series of the finite element (FE) simulations including elastic recovery analysis. The relationships were investigated by regression analysis and a neural network that incorporated a backpropagation training algorithm. The neural network model shows a higher capability of estimating the shape error than the regression model. The effects of primary design parameters selected by the regression analysis were investigated for the shape error. This shows that two types of shape error are affected by different parameters. In order to achieve an acceptable forming quality, the optimum combination of the design parameters must be determined. The predictive model based on the neural network approach provides insights into this procedure.

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      참고문헌 (Reference)

      1 Worswick, M. J., "The numerical simulation of stretch flange forming" 16 (16): 701-720, 2000

      2 Palanisamy, P, "Prediction of tool wear using regression and ANN models inend-milling operation" 37 (37): 29-41, 2008

      3 Truong-Thinh Nguyen, "Prediction of Heating-Line Paths in Induction Heating Process using the Artificial Neural Network" 한국정밀공학회 12 (12): 105-113, 2011

      4 Kantheti Venkata Murali Krishnam Raju, "Optimization of Cutting Conditions for Surface Roughness in CNC end Milling" 한국정밀공학회 12 (12): 383-391, 2011

      5 Liu, W., "Numerical simulation of multi-point stretch forming and controlling on accuracy of formed workpiece" 50 (50): 61-66, 2010

      6 Cai, Z. -Y., "Numerical investigation of multi-point forming process for sheet metal: wrinkling, dimpling and springback" 37 (37): 927-936, 2008

      7 Luo, M, "Numerical failure analysis of a stretch-bending test on dual-phase steel sheets using a phenomenological fracture model" 47 (47): 3084-3102, 2010

      8 Seo, Y. H., "Numerical Analysis for Stretch Forming Process UsingFlexible Die" 81 : 954-957, 2010

      9 Bruni, C., "Modelling of the rheological behaviour of aluminium alloys inmultistep hot deformation using the multiple regression analysisand artificial neural network techniques" 177 (177): 323-326, 2006

      10 Baseri, H, "Modeling of spring-back in V-die bending process by using fuzzy learning back-propagation algorithm" 38 (38): 8894-8900, 2011

      1 Worswick, M. J., "The numerical simulation of stretch flange forming" 16 (16): 701-720, 2000

      2 Palanisamy, P, "Prediction of tool wear using regression and ANN models inend-milling operation" 37 (37): 29-41, 2008

      3 Truong-Thinh Nguyen, "Prediction of Heating-Line Paths in Induction Heating Process using the Artificial Neural Network" 한국정밀공학회 12 (12): 105-113, 2011

      4 Kantheti Venkata Murali Krishnam Raju, "Optimization of Cutting Conditions for Surface Roughness in CNC end Milling" 한국정밀공학회 12 (12): 383-391, 2011

      5 Liu, W., "Numerical simulation of multi-point stretch forming and controlling on accuracy of formed workpiece" 50 (50): 61-66, 2010

      6 Cai, Z. -Y., "Numerical investigation of multi-point forming process for sheet metal: wrinkling, dimpling and springback" 37 (37): 927-936, 2008

      7 Luo, M, "Numerical failure analysis of a stretch-bending test on dual-phase steel sheets using a phenomenological fracture model" 47 (47): 3084-3102, 2010

      8 Seo, Y. H., "Numerical Analysis for Stretch Forming Process UsingFlexible Die" 81 : 954-957, 2010

      9 Bruni, C., "Modelling of the rheological behaviour of aluminium alloys inmultistep hot deformation using the multiple regression analysisand artificial neural network techniques" 177 (177): 323-326, 2006

      10 Baseri, H, "Modeling of spring-back in V-die bending process by using fuzzy learning back-propagation algorithm" 38 (38): 8894-8900, 2011

      11 Wang, S.-H., "FE simulation of shape accuracy using the Multi-Point Stretch-Forming process" 38 (38): 223-236, 2010

      12 Kuo, C.-C, "Applying regression analysis to improve dyeing process quality: a case study" 49 (49): 357-368, 2010

      13 Prior, A. M, "Applications of implicit and explicit finite element techniques to metal forming" 649-656, 1994

      14 허성찬, "Application of flexible forming process to hull structure forming" 대한기계학회 24 (24): 137-140, 2010

      15 Huang, M. S., "An innovative regression modelbased searching method for setting the robust injection molding parameters" 198 (198): 436-444, 2008

      16 허성찬, "A study on thick plate forming using flexible forming process and its application to a simply curved plate" SPRINGER LONDON LTD 51 (51): 103-115, 201011

      17 Tosun, N., "A study of tool life in hot machining using artificial neural networks and regression analysis method" 124 (124): 99-104, 2002

      18 Corona, E, "A simple analysis for bend-stretch forming of aluminum extrusions" 46 (46): 433-448, 2004

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-06-23 학회명변경 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-05-30 학술지명변경 한글명 : 한국정밀공학회 영문논문집 -> International Journal of the Korean of Precision Engineering KCI등재후보
      2005-05-30 학술지명변경 한글명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      외국어명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.38 0.71 1.08
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.92 0.85 0.583 0.11
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