• 제목/요약/키워드: Deep drawing

검색결과 472건 처리시간 0.025초

스테인리스 판재의 성형성 향상에 관한 연구 (A Study on the Improvement of Formability of Stainless Steel Sheets)

  • 배원병;허병우;김호윤;한정영
    • 소성∙가공
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    • 제7권5호
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    • pp.445-449
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    • 1998
  • In order to obtain optimum process variables during the drawing of stainless steel sheets rectangular cup drawing tests were carried out with several technically available stainless steel sheets. As parameters on testing materials for die and punches lubrication and blank holding forces were selected. Testing parameters played an important role if the deformed material was thin. Effect of material properties on the deformation behaviors was also discussed by using testing parameters selected in this experiment. From the test results we suggest the appropriate conditions to be applicable to the actual manufacturing processes

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AZ31 합금 판재의 변형모드에 따른 성형한계에 관한 연구 (Forming Limits Diagram of AZ31 Alloy Sheet with the Deformation Mode)

  • 정진호;이영선;권용남;이정환
    • 소성∙가공
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    • 제17권7호
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    • pp.473-480
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    • 2008
  • Sheet metal forming of Mg alloy is usually performed at elevated temperature because of the low formability at room temperature. Therefore, strain rates affected with the forming temperature and speed must be considered as important factor about formability. Effects of process parameters such as various temperatures and forming speeds were investigated in circular cup deep drawing. From the experimental results, it is known that LDR (Limit Drawing Ratio) increase as the strain rate increase. On the contrary, the FLD (Forming Limit Diagram) shows lower value as faster strain rate. Therefore, anisotropy values are investigated according to the temperature and strain rates at each forming temperature. R-values also represent higher value as faster strain rate. It is known that the formability can be different with the deformation mode on warm forming of AZ31 alloy sheet.

판재성형의 유한요소해석

  • 강정진;오수익;정영철;박종진
    • 한국정밀공학회지
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    • 제17권4호
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    • pp.38-47
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    • 2000
  • Recently, finite element method has been used as an effective tool in the design process of sheet metal forming. In the present study, an implicit method and an explicit method have been developed for 2D analysis and 3D analysis, respectively, and applied to several processes including plane strain draw bending and TWB sqaure cup drawing. Also, commercial codes are used for geometrically complex problems, such as tube hydroforming, "L" cup deep drawing and side frame forming. In this paper, basic formulations used in the methods are introduced and results obtained from the applications are discussed.discussed.

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차체용 알루미늄 판재의 프레스 성형성 (Press Formabilities of Aluminum Sheets for Autobody Application)

  • 김영석;김기수;권남철
    • 한국자동차공학회논문집
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    • 제2권1호
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    • pp.73-83
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    • 1994
  • Press formabilities of aluminum sheets for automobile body were investigated. Plane strain stretching test (called RIST-PSST), cupping test and U bending test were performed to assess the press formability of aluminum sheets respectively. The results showed that aluminum sheets are generally inferior to cold-rolled steel sheet of deep drawing quality (CSP3N) in press formability. The limiting punch height (LPH) and limiting plane strain (FLCo) of aluminum sheets are 50%-70% level compared to that of CSP3N. Moreover, the limiting drawing ratios(LDR) of aluminum sheets are ranged between 1.95 and 2.1. The poor press formability of aluminum sheets is responsible for low values of total elongation and plastic anisotropy parameter in tensile characteristic. The shape fixability of aluminum sheets evaluated in U bending test is very poor due to its low elastic modulus compared to CSP3N.

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자동차용 강판의 표면 텍스처링 효과에 따른 고성형성 연구 (Analysis of the High Formability of Automotive Steel Sheets by the Surface Texturing Effect)

  • 윤승채;여인웅;조민행
    • 대한금속재료학회지
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    • 제50권1호
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    • pp.8-12
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    • 2012
  • This study aims to analyze the formability property of surface texturing processed automotive steel sheet for improving the sheet forming property. In the paper, the effect of cavities fabricated using the laser surface texturing technique on automotive high strength steel sheets was studied. The frictional behavior of the sheet drawing is a function of interface parameters such as sheet surface roughness, holding force, contact pressure, etc. For these reasons, automotive steel researchers want to optimize the surface topography of automotive steel sheets in order to enhance the formability. Therefore, this study presents the behavior of deformation of a laser surface texturing steel sheet by considering the frictional operation during the deep drawing process.

해양심층수 취수를 위한 기포펌프의 적용성 연구 (A Study on Applicability of Air-lift Pump for Deep Seawater pumping)

  • 신필권;김현주;홍석원;최학선
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2004년도 학술대회지
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    • pp.13-16
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    • 2004
  • Deep sea water has mid temperature, abundant nutrients and minerals, and good tooter quality. For the purpose of drawing up deep sea water without pump pit construction, tile authors are considering to use air-lift pump. This report describes fundamental experimental investigation for air-lift pump characteristic and improvement in efficiency.

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A Quantitative Review on Deep Learning and Smart Factory from 2010 to 2023

  • Yong Sauk Hau
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.203-208
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    • 2024
  • The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.