• 제목/요약/키워드: deep drawing

검색결과 470건 처리시간 0.023초

사각형 캔 드로잉 다단 공정에서 성형성과 제품형상을 동시에 고려한 초기 블랭크 형상 최적 설계 (Initial Blank Optimization Design of Square Can Multistage Drawing considering Formability and Product Shape)

  • 박상민;김동규;홍석무
    • 한국산학기술학회논문지
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    • 제18권3호
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    • pp.320-326
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    • 2017
  • 다단 딥드로잉 기술은 제품의 생산성 향상과 비용 절감을 위해 휴대폰 배터리 케이스 제품의 생산 공정으로 많이 사용하고 있다. 휴대폰 배터리 케이스는 용량과 강성을 목적으로 세장비가 큰 사각 컵 형상으로 제조된다. 사각 컵 형상의 다단 딥드로잉은 세장비가 크고, 복잡한 변형 형태 메커니즘으로 인한 제품의 좌우 높이 차이가 발생한다. 이로 인해 제품 조립과 표면 품질에 문제가 발생한다. 본 연구에서는 이러한 문제를 개선하기 위해 제품의 높이 차이가 최소가 되는 블랭크 형상에 대해 연구했다. 제품 좌우 높이 차이가 최소가 되는 블랭크 형상을 찾기 위해 최적 설계와 해석을 수행했다. 타원형 블랭크의 장변과 단변을 설계 변수로 설정하고, 목적 함수는 높이 차이가 최소가 되도록, 제품의 두께 감소율이 목표 범위에 도달하도록 설정했다. 또한 최종 제품 형상의 높이를 구속 조건으로 설정하였다. 그 결과 최적 설계를 통한 초기 블랭크 설계로 높이 차이가 최소가 되었으며, 원하는 공정을 지정하여 높이 차이가 최소화 되도록 수행 가능하다. 향후 개발된 자동화 프로세스로 인해 모든 각형 타입의 초기 소재 설계가 가능할 것으로 판단된다.

CNG 저장용기의 성형을 위한 D.D.I. 하중에 관한 연구 (A Study on D.D.I. Load for Forming of the CNG Storage Vessel)

  • 이현우;배준호;김철
    • 한국정밀공학회지
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    • 제30권6호
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    • pp.629-637
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    • 2013
  • In this study, a theoretical analysis method was suggested for predicting forming loads of continuous deep drawing and ironing processes (D.D.I. processes) by considering back tension and continuity equation, and FEA for D.D.I. processes was performed. Dimensions of a punch and a mold on the basis of design rules for a CNG storage vessel were applied for the analysis. To verify the suggested theoretical analysis, the results of theoretical analysis were compared with both those of FEA and experiments of previous studies. As the result of analysis, the values and tendencies of the loads predicted by the theoretical analysis were in agreement with those of FEA and the experiments. So, it is considered that the analysis suggested has reliability for predicting the forming loads of the continuous processes(deep drawing+ironing(1)+ironing(2)).

스피닝공정에 있어서 스프링백 억제방안 (Springback Reduction of Multi-step Cylindrical Cup in Spinning Process.)

  • 박중언;이우영;최석우;김승수;나경환
    • 한국정밀공학회지
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    • 제18권9호
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    • pp.186-191
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    • 2001
  • Spinning process is a chipless metal forming method for axi-symmetric parts, which is more economical, efficient and versatile method for producing parts than the other sheet metal forming process such as stamping or deep drawing. In this study, a fundamental experiment was conducted to improve productivity with process parameters such as tool path, angle of roller holder($\alpha$), feed rate($\gamma$) and corner radius of forming roller(Rr). These factors were selected as variables in the experiment because they were most likely expected to hale an effect on spring back. The empirical results were analyzed to know how much spring back was affected by these factors. And also thickness and diameter distribution of a multistage cup obtained by spinning process were observed and compared with those of a commercial product produced by conventional deep drawing.

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마그네슘 합금 AZ31 판재의 온간 사각컵 딥드로잉 성형성의 유한요소 해석 (Finite-Element Analysis of Formability in Warm Square Cup Deep Drawing of Magnesium Alloy AZ31 Sheet)

  • 김흥규;이위로;홍석관;한병기;김종덕
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2005년도 추계학술대회 논문집
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    • pp.122-125
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    • 2005
  • Magnesium alloys are expected to be widely used for the parts of structural and electronic applications due to their lightweight and EMI shielding characteristics. While the die casting has been mainly used to manufacture the parts from the magnesium alloys, the press forming is considered as an alternative to the die casting for saving the manufacturing cost and improving the structural strength of the magnesium alloy parts. However, the magnesium alloy has low formability at room temperature and therefore, in many cases, forming at elevated temperatures is necessary to obtain the required material flow without failure. In the present study, square cup deep drawing tests using the magnesium alloy AZ31 sheet were experimentally conducted at various elevated temperatures as well as room temperature, and the corresponding finite-element simulations, which calculated the damage evolution based on the Oyane's criterion, were conducted using the stress-strain relations from the tensile tests at various temperatures. The formability predictability by the finite-element analysis was investigated by comparing the predicted damage distributions over the deformed AZ31 sheet at elevated temperatures with the corresponding experimental deformations with failures.

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가열냉각방법에 의한 마그네슘합금의 판재성형성 개선 (Improvement on the Formability of Magnesium Alloy Sheet by Heating and Cooling Method)

  • 강대민
    • 한국자동차공학회논문집
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    • 제13권6호
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    • pp.93-98
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    • 2005
  • The purpose of this study is to confirm the improvement of formability of AZ31 magnesium alloy sheet by using local heating and cooling technique. For this, the experiments of warm deep drawing were done under the temperatures of $100^{\circ}C\~400^{\circ}C$, and the punch velocity of 10, 100mm/min. Also FE analysis under the temperatures of blankholder and die of $150^{\circ}C,\;225^{\circ}C\;and\;300^{\circ}C$ for tools(holder and die) was executed with considering heat teansfer. From the results, the formability of AZ31 magnesium alloy, espicially the temperatures of $225^{\circ}C\~250^{\circ}C$ for tools(holder and die)improved remarkably. And the experiments and simulations showed that necking under room temperature for tools occured under the part of punch shoulder while at $300^{\circ}C$ for tools, at the part of die shoulder.

극소형 원통컵의 드로잉성과 품질에 미치는 블랭크 홀딩력과 블랭크 직경의 영향 (Influence of Blankholding Force and Blank Diameter on the Drawability and Quality of Very Small Cylindrical Cups)

  • 이기성;김종봉;정완진;김종호
    • 소성∙가공
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    • 제23권8호
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    • pp.489-494
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    • 2014
  • Micro forming is an appropriate process to manufacture very small metal parts which can be employed in the field of electronic devices or electrically controlled mechanical systems. The purpose of the current study was to investigate the influences of both blankholding force and blank diameter for the deep drawing of very small cups. It is essential to control the blankholding force because improper force can result in defects such as wrinkles in the flange or cracks in the corner of the drawn cups. In the current study blankholding force was controlled by springs connected to the blankholder of a press die. Exchangeable bushing dies with various die-corner radii were also used. To obtain the limit drawing ratio for each working condition several sizes of circular specimens were prepared using blanking tools. Beryllium copper(C1720) alloy sheet of $50{\mu}m$ thickness was chosen for the experiments. The maximum limit drawing ratio of 2.1 was achieved experimentally for the conditions of the blankholder force(BHF)=5.3kgf and Rd=0.3mm. Both thickness and hardness along the central section of drawn cups were measured and compared for different drawing conditions. It was found that the deviation of measured data in the thickness and hardness distribution increases with increasing blankholder force and blank diameter.

노화에 따른 심부 복부근육의 두께 변화와 대칭성 변화 (The Age Related Changes of Thickness and Symmetry of Deep Trunk Muscles)

  • 서동권;이승원
    • 대한물리의학회지
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    • 제8권3호
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    • pp.379-385
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    • 2013
  • PURPOSE: This study is research about deep trunk muscles (DTM) that is important and serve to control the movement of the trunk to provide stability during movement for human. In this study, trying to prove a change of DTM of aging in the ultrasound image. METHODS: We measured via an ultrasound image during rest and contraction of DTM in 42 young and 48 old people, and then we measured the change of thickness and symmetry. RESULTS: Symmetry showed a significant difference only external oblique (EO) in the young(p<.05). In the elderly, it was found that ratio of contraction was greater transverse abdominis than EO. CONCLUSION: I considered it could lead to improvement of activity of daily life by applying intervention for recovery of motor control of TrA for the elderly in clinical practice.

AA1070 알루미늄 합금의 사각형상 충격압출 성형에 미치는 공정 조건의 영향 (Effect of Process Parameters on Rectangular Cup Impact Extrusion of an AA1070 Aluminum Alloy)

  • 조민기;안은솔;박인욱;송익성;김화영;김대용;문영훈;김지훈
    • 소성∙가공
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    • 제24권5호
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    • pp.323-331
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    • 2015
  • Impact extrusion is an economical and productive process that can replace the multistage deep drawing process for producing deep rectangular cases. In the current work, a three-dimensional finite element analysis of the impact extrusion process of a commercial purity aluminum alloy (AA1070) was performed to predict loads, material flow, and deformed shapes using the Hansel-Spittel rheology law, which describes the flow stress at various temperatures and strain rates. The role of various process parameters such as friction, clearance between punch and die, aspect ratio and thickness of billet on the process and the shapes was analyzed.

Al 1050, 5020 판재의 성형성에 관한 실험적 고찰 (An Experimental Study On The Formability of Aluminum 1050 and 5052 Sheet Metal)

  • 강용기;박진욱;문영훈
    • 소성∙가공
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    • 제9권1호
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    • pp.27-34
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    • 2000
  • Sheet metal formabilities for aluminum 1050 and 5052 were experimentally investigated in this study. Deep drawability, bendability and stretch formability were measured at each process condition and correlated with tensile properties of sheet metal. To compare the formabilities of aluminum 1050 and 5052 sheets with those of steel sheets, deep drawing quality(DDQ) steel sheets are also tested at the same test conditions. Through the experimental studies, influential process variables for each forming process were obtained and correlated with the tensile properties. The comparisons of sheet metal formabilities with those of steed sheets showed that aluminum 1050 and 5052 is inherently deficient in formability than steel sheets but Al 5052 that has highter n and r value than al 1050 showed better formabilities.

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딥 러닝을 이용한 부동산가격지수 예측 (Predicting the Real Estate Price Index Using Deep Learning)

  • 배성완;유정석
    • 부동산연구
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    • 제27권3호
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    • pp.71-86
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    • 2017
  • 본 연구의 목적은 딥 러닝 방법을 부동산가격지수 예측에 적용해보고, 기존의 시계열분석 방법과의 비교를 통해 부동산 시장 예측의 새로운 방법으로서 활용가능성을 확인하는 것이다. 딥 러닝(deep learning)방법인 DNN(Deep Neural Networks)모형 및 LSTM(Long Shot Term Memory networks)모형과 시계열분석 방법인 ARIMA(autoregressive integrated moving average)모형을 이용하여 여러 가지 부동산가격지수에 대한 예측을 시도하였다. 연구결과 첫째, 딥 러닝 방법의 예측력이 시계열분석 방법보다 우수한 것으로 나타났다. 둘째, 딥 러닝 방법 중에서는 DNN모형의 예측력이 LSTM모형의 예측력보다 우수하나 그 정도는 미미한 수준인 것으로 나타났다. 셋째, 딥 러닝 방법과 ARIMA모형은 부동산 가격지수(real estate price index) 중 아파트 실거래가격지수(housing sales price index)에 대한 예측력이 가장 부족한 것으로 나타났다. 향후 딥 러닝 방법을 활용함으로써 부동산 시장에 대한 예측의 정확성을 제고할 수 있을 것으로 기대된다.