• 제목/요약/키워드: Sheet Model

검색결과 796건 처리시간 0.024초

박판성형해석을 위한 자동 프리에지 제거에 관한 연구 (A Study on the Automatic Elimination of Free Edge for Sheet Metal Forming Analysis)

  • 유동진
    • 소성∙가공
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    • 제13권7호
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    • pp.614-622
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    • 2004
  • A new approach for the automatic elimination of free edges in the finite element model for the analysis of sheet metal forming processes is presented. In general, the raw finite element model constructed from an automatic mesh generator is not well suited for the direct use in the downstream forming analysis due to the many free edges which requires tedious time consuming interactive graphic operations of the users. In the present study, a general method for the automatic elimination of free edges is proposed by introducing a CAD/CAE hybrid method. In the method a trimmed parametric surface is generated to fill the holes which are orginated from the free edges by using the one step elastic finite element analysis. In addition, mesh generation algorithm is suggested which can be used in the general trimmed surface. In order to verify the validity of the proposed method, various examples including actual automobile sheet metal parts are given and discussed.

피라미드 코어를 가진 샌드위치 판재의 L형 굽힘 성형해석 (Forming Analysis of L-type Bending of Sandwich Sheet with Pyramid Core)

  • 정완진;김종호;임성진;유정수
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2008년도 춘계학술대회 논문집
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    • pp.560-563
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    • 2008
  • A condensed model is proposed for the simulation of forming of sandwich sheet with pyramid core. A corresponding finite element analysis for L-type bending is carried out to prove the accuracy and the effectiveness. Simulation results are compared with those of experiment. Deformation shape and post-buckling behavior by simulation are in good agreement with those of experiment for the considerable range of deformation. From the comparison of force-displacement curve, it is shown that the proposed model shows good prediction of the forming force compared to the experiment. Thus, the effectiveness of the proposed method is sufficiently demonstrated.

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반응표면법을 이용한 Al5052 판재의 점진성형 최적화 연구 (Optimization of Incremental Sheet Forming Al5052 Using Response Surface Method)

  • 오세현;샤오샤오;김영석
    • 소성∙가공
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    • 제30권1호
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    • pp.27-34
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    • 2021
  • In this study, response surface method (RSM) was used in modeling and multi-objective optimization of the parameters of AA5052-H32 in incremental sheet forming (ISF). The goals of optimization were the maximum forming angle, minimum thickness reduction, and minimum surface roughness, with varying values in response to changes in production process parameters, such as tool diameter, tool spindle speed, step depth, and tool feed rate. A Box-Behnken experimental design (BBD) was used to develop an RSM model for modeling the variations in the forming angle, thickness reduction, and surface roughness in response to variations in process parameters. Subsequently, the RSM model was used as the fitness function for multi-objective optimization of the ISF process based on experimental design. The results showed that RSM can be effectively used to control the forming angle, thickness reduction, and surface roughness.

Axial load prediction in double-skinned profiled steel composite walls using machine learning

  • G., Muthumari G;P. Vincent
    • Computers and Concrete
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    • 제33권6호
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    • pp.739-754
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    • 2024
  • This study presents an innovative AI-driven approach to assess the ultimate axial load in Double-Skinned Profiled Steel sheet Composite Walls (DPSCWs). Utilizing a dataset of 80 entries, seven input parameters were employed, and various AI techniques, including Linear Regression, Polynomial Regression, Support Vector Regression, Decision Tree Regression, Decision Tree with AdaBoost Regression, Random Forest Regression, Gradient Boost Regression Tree, Elastic Net Regression, Ridge Regression, and LASSO Regression, were evaluated. Decision Tree Regression and Random Forest Regression emerged as the most accurate models. The top three performing models were integrated into a hybrid approach, excelling in accurately estimating DPSCWs' ultimate axial load. This adaptable hybrid model outperforms traditional methods, reducing errors in complex scenarios. The validated Artificial Neural Network (ANN) model showcases less than 1% error, enhancing reliability. Correlation analysis highlights robust predictions, emphasizing the importance of steel sheet thickness. The study contributes insights for predicting DPSCW strength in civil engineering, suggesting optimization and database expansion. The research advances precise load capacity estimation, empowering engineers to enhance construction safety and explore further machine learning applications in structural engineering.

윤활과 표면조도를 고려한 박판 성형 마찰 모델 (Friction Model of Sheet Metal Forming Considering Lubricant and Surface Roughness)

  • 이봉현;금영탁
    • 소성∙가공
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    • 제10권7호
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    • pp.543-550
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    • 2001
  • In order to find the effect of material property and lubricant viscosity on the frictional characteristics a sheet metal friction tester was designed and tensile test, surface roughness test, and friction test were performed with several kinds of drawing oils. Test results show that as the lubricant viscosity becomes lower, the friction coefficient is higher. When surface roughness is extremely low or high, friction coefficient is also high. Using these test results, the friction model considering lubricant viscosity and surface roughness is developed. The validity and accuracy of the friction model are shown by comparing the punch loads among FEM analysis results employing current friction model and conventional friction model respectively and experimental measurement.

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박판성형공정의 유한요소해석을 위한 드로우비드 전문모델 개발 (2부:모델링) (Development of Drawbead Expert Models for Finite Element Analysis of Sheet Metal Forming Process (Part2: Modeling))

  • 금영탁;이재우;박승우
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1997년도 춘계학술대회논문집
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    • pp.50-54
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    • 1997
  • An expert drawbead model is developed to model a cranky drawbead in the finite element analysis of stamping processes. The expert model calculates the drawbead restraining forces (DBRF's) and bead-exit thinning, which are boundary conditions. DBRF's are calculated by considering bending force, unbending force, and friction force in order. Bead-exit thinning are due to the bending and tension during the deformation. The DBFR's and thinning computed form the mathematical model for the basic beads are compared with measurements and correction factors compensating for the differences are found using the multiple linear regression method. The composition beads are assumed to be a combination of basic beads so that the DBRF's and bead-exit thinning are computed to the sum of those of basic beads.

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AA 5J32 Tailor Rolled Blank를 이용한 차량용 Door Inner Panel 개발 (Development of Automotive Door Inner Panel using AA 5J32 Tailor Rolled Blank)

  • 전성진;이문용;김병민
    • 소성∙가공
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    • 제20권7호
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    • pp.512-517
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    • 2011
  • TRB(Tailor Rolled Blank) is an emerging manufacturing technology by which engineers are able to change blank thickness continuously within a sheet metal. TRB door inner panels with required larger thicknesses can be used to support localized high loads. In this study, the aluminum alloy 5J32 TRB sheet is used for a door inner panel application. The TRB material properties were varied by using three heat treatment conditions. In order to predict the failure of the aluminum TRB during simulation, the forming limit diagram, which is used in sheet metal forming analysis to determine the criterion for failure, was investigated. Full-field photogrammetric measurement of the TRB deformation was performed with an ARAMIS 3D system. A FE model of the door inner panel was created using Autoform software. The material properties obtained from the tensile tests were used in the numerical model to simulate the door inner of AA 5J32 for each heat treatment condition. After finite element analysis for the evaluation of formability, a prototype front door panel was manufactured using a hydraulic press.

실내 진동대 실험을 통한 해안매립지반의 동적 특성 평가 (Dynamic Characteristic of Coastal Reclaimed Land through Shaking Table Test)

  • 신은철;강현회;박정준
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2009년도 춘계 학술발표회
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    • pp.640-648
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    • 2009
  • Recently the truction of coastal reclaimation work has been extensively implemented in Korea. The Sondo New City is being established on the reclaimed land from the sea, construction companies of metro construction are planing to pull-out the sheet pile for saving the construction cost. In the case of soft marine clay, it is very difficult to pull-out the sheet pile by using the hydraulic hammer difficult. Therefore, the man of the field must be aware of vibration effect to the ground and the structure. For understanding the vibration effect to the ground during subway construction, the model was formulated with 1/25 braced-cut for subway construction. Scott and Iai(1989) proposed the law of the similarity for other experimental conditions. The laboratory model test was conducted under the vibration condition of sheet pile pulling out. The settlement on the ground surface was measured during the shaking table test. The pore water pressure was also monitored in the upper, middle, and lower layers of soil. The field settlement level and the pore water pressure can be predicted by using the results of the laboratory shaking table test.

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강널말뚝의 횡방향 진동모델에 대한 매개변수 연구 (Parametric Study on Lateral Vibration Model of Steel Sheet Pile)

  • 이승현;김병일;김주철;김정환
    • 한국산학기술학회논문지
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    • 제11권3호
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    • pp.1047-1052
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    • 2010
  • 이 연구에서는 진동타입기에 의해 시공되는 강널말뚝의 횡방향진동모델에 대해 횡방향스프링상수를 달리하여 횡방향진동에 따른 에너지손실 및 하중감소계수에 미치는 영향을 살펴보았다. 강널말뚝의 자유길이에 따른 에너지손실과 하중감소계수는 계산에서 고려한 횡방향스프링상수의 크기에 관계없이 강널말뚝의 휨강성보다는 편심거리의 크기에 영향을 크게 받는 것으로 나타났다. 그리고 계산에서 고려한 횡방향 스프링상수값, 10000N/m 이상일 경우 말뚝의 자유길이에 따른 하중감소계수가 수렴함을 알 수 있었다.

탄소섬유쉬트-콘크리트 부착이음의 부착 모델 (Bond-Slip Model for CFRP Sheet-Concrete Adhesive Joint)

  • 조정래;조근희;박영환;박종섭
    • 대한토목학회논문집
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    • 제26권2A호
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    • pp.285-292
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    • 2006
  • 이 연구는 탄소섬유쉬트-콘크리트 부착이음 실험 결과로부터 국부적인 부착모텔(부착응력-미끄럼 모델)을 결정하는 방법을 제안하고, 실제 실험 결과와 비교하여 이러한 부착 조건에 적용 기능한 부착모델을 제시한다. 부착모델의 형상은 임의의 곡선 형태를 고려할 수 있도록 디중선형곡선(multi-linear curve)으로 가정하였으며, 수치적인 방법으로 부착이음의 해를 계산하여 실험 결과와 오차를 최소화하는 방법으로 부착모델을 결정하였다. 이중선형곡선(bilinear curve)을 도입한 부착모델 역시 최적화를 수행하여 다중선형모텔과 비교하였다. 최적화의 대상은 동일 조건의 부착모텔에 대해 여러 실험체로부터 구한 극한하중-부착길이 곡선과 개별 실험체의 하중-변위 곡선이다. 최적화를 위한 정식화는 physical programming을 사용하였으며 최적화 방법은 유전알고리즘(genetic algorithm)을 이용하였다.