• Title/Summary/Keyword: 롤/롤러

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Analysis of Film Flow Around Rotating Roller Partially Immersed in Ink (잉크에 부분적으로 잠긴 회전하는 롤 주위의 액막 유동 해석)

  • Yu, Seung-Hwan;Um, Suk-Kee;Lee, Kwan-Soo
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.31 no.12
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    • pp.1017-1023
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    • 2007
  • This study is intended to analyze the effect of thin ink-film thickness around rotating printing roll on the printing quality in the gravure printing process which is used for making electronics circuit like a RFID tag with a conductive ink. The present work numerically estimates the film thickness around rotating roller partially immersed in ink for which the volume of fluid (VOF) method was adopted to figure out the film formation process around rotating roller. Parameter studies were performed to compare the effect of ink properties (viscosity, surface tension), operating condition (roller rotating speed, initial immersed angle) on the film thickness. The result indicates that the film thickness has a strong dependency on the rotating speed, while the surface tension has negligible effect.

Process Design of Conical Roll-Shaping for Fabrication of Variable Curvature Spiral Blade (가변곡률을 가진 나선형 블레이드 제작을 위한 원추형 롤 성형 공정설계)

  • Yang, Sungmoon;Shim, Dosik;Ji, Hoseong;Baek, Joonho;Kim, Bongsik;Ahn, Seokyoung;Park, Sanghu
    • Journal of the Korean Society for Precision Engineering
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    • v.33 no.11
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    • pp.911-918
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    • 2016
  • A conical roll-shaping process was proposed for fabrication of a metallic spiral blade applied to a small-scale wind turbine system. A spiral blade has continuously different curvatures, with a range of 100 to 350 mm radius. To fabricate this complex shape, we developed a conical roll-shaping process having two main conical rollers for feeding a blank sheet, and two cylindrical side rollers for control of local bending. For clear understanding of the process parameters, numerical analyses were conducted using a commercial code, Pam-Stamp. This study optimized the effects of process parameters, such as gap and angle between the main rollers and side rollers, and also the movement of side rollers. In order to increase the forming efficiency, a central rotation point was also calculated by the analytical approach. This developed rolling process can thus be utilized in a sheet metal forming process for obtaining spirally curved sheet metal shapes.

A Study on the Forming Load for roller feed rate and Thickness Reduction in the spinning Process of launch vehicle fuel tank dome (돔 형상의 스피닝 가공 공정에서 롤의 이송 속도와 소재의 두께감소에 대한 성형력 연구)

  • Yeom Sung-Ho;Nam Kyoung-O;Hong Sung-In
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2006.05a
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    • pp.387-390
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    • 2006
  • Conventional spinning, shear forming and flow forming techniques are being utilized increasingly due to the great flexibility provided for producing complicated parts, enabling customers to optimize designs and reduce weight and cost, all of which are vital, especially in automotive industries, space shuttle, a munitions industry. The deformation mechanism of conventional spinning and shear forming is studied in this paper through analysis. The forming loads of a spin formed dome in an Al launch vehicle fuel tank was studied analysis and a simple FE model to predict the forming loads of the dome was proposed. The analysis is carried out to study the effects of feed rates and thickness reduction on material flow.

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Application of Multi-Layer Perceptron and Random Forest Method for Cylinder Plate Forming (Multi-Layer Perceptron과 Random Forest를 이용한 실린더 판재의 성형 조건 예측)

  • Kim, Seong-Kyeom;Hwang, Se-Yun;Lee, Jang-Hyun
    • Journal of the Society of Naval Architects of Korea
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    • v.57 no.5
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    • pp.297-304
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    • 2020
  • In this study, the prediction method was reviewed to process a cylindrical plate forming using machine learning as a data-driven approach by roll bending equipment. The calculation of the forming variables was based on the analysis using the mechanical relationship between the material properties and the roll bending machine in the bending process. Then, by applying the finite element analysis method, the accuracy of the deformation prediction model was reviewed, and a large number data set was created to apply to machine learning using the finite element analysis model for deformation prediction. As a result of the application of the machine learning model, it was confirmed that the calculation is slightly higher than the linear regression method. Applicable results were confirmed through the machine learning method.