• Title/Summary/Keyword: 예비성형체

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사각펀치의 압입공정에서 예비성형체의 형상이 펀치변형에 미치는 영향

  • 박상수;이정민;김병민
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.84-84
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    • 2004
  • 다단 냉간단조 공정에서는 결함이 없는 재료의 유동, 금형내부의 완전한 충만과 금형의 수명향상 등을 위하여 예비성형체의 설계가 중요시되고 있다. 특히 최근 제품의 정밀도에 관심이 집중되어 냉간 상태에서 완제품으로 성형하여 후속 기계가공을 없앰으로써 재료의 절약, 에너지 절감, 가공공정수 단축 등 냉간단조를 고부가가치 가공의 유력한 수단으로 응용하려는 추세이다. 이러한 경우 예비성형체의 형상은 제품의 정밀도와 금형의 수명에 지대한 영향을 미친다.(중략)

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A Study on Precuring Condition of the 2-step Manufacturing Method for PEMFC Composite Bipolar Plates (PEMFC용 복합소재 분리판을 위한 2단계 제조공법의 예비성형 조건에 대한 연구)

  • Heo, Seong-Il;Oh, Kyung-Seok;Jang, Jun-Ho;Yang, Yoo-Chang;Han, Kyung-Seop
    • Composites Research
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    • v.20 no.2
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    • pp.10-16
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    • 2007
  • The 2-step manufacturing method consisting of preforming and stamping processes was developed to manufacture composite bipolar plates for PEMFCS. The preform was composed of expanded graphite, graphite flake and phenol resin. Procuring conditions were optimized by checking the electrical conductivity, flexural strength and microstructure. Procuring temperature $(100^{\circ}C)$ slightly above the melting point of phenol powders $(90^{\circ}C)$ induced moderate curing, but also prevented excessive curing. Preforms utilizing the tangled structure of expanded graphite were easily fabricated at low pressure of 0.07-0.28MPa. The proper procuring time, 5min, was determined to fabricate the preform stably because insufficient and excessive procuring deteriorated the flexural strength of composite bipolar plates.

형단조 예비성형체 설계의 CAE

  • 김낙수
    • Journal of the KSME
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    • v.32 no.6
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    • pp.524-535
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    • 1992
  • 형단조 제품의 예비성형체의 결정이 중요하며, 그 형상은 최종 제품의 설계 조건에 따라서 수 치적으로 결정될 수 있음을 알았다. 축대칭이나 평면 변형과 같은 2차원 해석이 필요한 제품의 경우에는 체계적인 방법으로 예비성형체의 모양을 결정할 수 있으며, 그 결과를 이용하여 일련의 단조 공정이 설계된다. 이러한 수치해석적 설계 방법은 단조에서 CNE의 근간이 되어 설계의 자동화에 직접적으로 기여할 수 있을 것이다. 이 분야에서 앞으로의 연구방향은 기존에 확립되어 있는 수치해석적 설계방법을 보편화하여 현장에서 사용하기 쉽도록 패키지화할 것과, 모형실험 또는 실제 공정을 통한 해석결과 및 설계를 검증할 것 등이다. 또한, 일반 3차원 형단조의 공정 해석도 활발하게 이루어져 복잡한 정밀 단조에 대한 설계 자동화도 연구되어야 할 것이다.

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유동성형에서의 연소관 예비성형체 두께별 소성변형 형태

  • 윤수진;이경훈;은일상
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 1997.04a
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    • pp.163-178
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    • 1997
  • 현재 각종 미사일의 추진기관용 연소관을 제작하는데 광범위하게 이용되고 있는 유동성 형공정에 대하여 강소성 구성방정식을 이용 유한요소해석을 수행하였다. 종전의 단일 롤러에 의한 해석과는 달리 3개의 롤러에 의한 연소관의 점진 소성변형을 고려하였으며. 이에 따른 각 룰러의 연소관에 대한 소성변형, 응력분포가 관찰, 분석되었다. 해석 결과 예비성형체의 두께에 따라 소성변형 형태와 그에 따르는 응력분포에 많은 차이가 나는 것으로 밝혀졌다. 또 이상적인 유동성형 공정조건하에서 반경 방향으로의 연소관의 유효 소성변형도는 거의 균일하게 나타났다.

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A Preliminary Study on the Optimal Shape Design of the Axisymmetric Forging Component Using Equivalent Static Loads (등가정하중을 이용한 축대칭 단조품의 형상최적화에 관한 기초연구)

  • Jung, Ui-Jin;Lee, Jae-Jun;Park, Gyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.1
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    • pp.1-10
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    • 2011
  • An optimization method is proposed for preform and billet shape designs in the forging process by using the Equivalent Static Loads (ESLs). The preform shape is an important factor in the forging process because the quality of the final forging is significantly influenced by it. The ESLSO is used to determine the shape of the preform. In the ESLSO, nonlinear dynamic loads are transformed to the ESLs and linear response optimization is performed using the ESLs. The design is updated in linear response optimization and nonlinear analysis is performed with the updated design. The examples in this paper show that optimization using the ESLs is useful and the design results are satisfactory. Consequently, the optimal preform and billet shapes which produce the desired final shape have been obtained. Nonlinear analysis and linear response optimization of the forging process are performed using the commercial software LS-DYNA and NASTRAN, respectively.

A Study on the Forming Conditions of a Forging Piston by using the Finite Element Simulation and the Taguchi Method (유한요소해석과 다구찌방법을 이용한 단조피스톤의 성형조건 연구)

  • You, Ho-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.5
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    • pp.1990-1995
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    • 2012
  • This paper presents design methodology to determine the design parameters that affect the manufacture of aluminum forging piston using the FE simulation and the Taguchi method. Maximum forging load is used as the objective function, and preform, material temperature and draft angle are selected as the design parameters. Their combinations are implemented by orthogonal array, and forging load is evaluated through the simulation. From the analytic results of design parameters to minimize the load using signal to noise ratio, their optimal combinations are proposed. The proposed design methodology will be able to help in selecting proper preform among preforms and to be used in determining the optimal combination of the parameters in metal forming process.

Fabrication Process and Impact Characteristic Analysis of Metal Matrix Composite for Electronic Packaging Application (전자패키징용 금속복합재료의 제조공정 해석 및 충격특성평가)

  • 정성욱;정창규;남현욱;한경섭
    • Composites Research
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    • v.15 no.1
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    • pp.32-40
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    • 2002
  • This study developed fabrication process of $SiC_p/Al$ metal matrix composites as electronic packaging materials by squeeze casting method. The $SiC_p$ preform were fabricated in newly designed preform mold using about 0.8 % of inorganic binder(SiO$_2$) and 5 vol.% of $Al_2O_3$fiber. To infiltrate the molten metal into the preform, fabrication condition such as the temperature and the pressure were selected. Applying the fabrication conditions, heat transfer analysis were preformed using finite element method and thus analyzed the temperature distribution and cooling characteristic during the squeeze casting. For the fabricated composites, impact toughness and thermal expansion coefficient were measured. The metal matrix composites developed in this study have 0.2~0.3 J impact toughness, $8~10 ppm/^{\circ}C$ thermal expansion coefficient and $2.9~3.0g/cm^3$density which is appropriate properties for electronic packaging application.

Preform design of large sized profile ring rolling using main roll (메인롤을 이용한 대형 형상링롤링의 예비성형체 연구)

  • Kim, H.J.;Kang, J.H.;Kang, S.S.
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.1
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    • pp.65-70
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    • 2014
  • This paper introduces a preform design method for a ring rolling process with an outer step. Underfilling is one of the general defects of the profile ring rolling process. It occurs when the deformation amount is small or step depth of the profiled region is large. To prevent underfilling, increasing the deformation amount or using a preform of size similar to that of the final product are required. Furthermore, the filling limit equation is suggested based on the shape factor and deformation ratio for preventing defects in the products. The filling limit equation has been derived through finite element analyses and production tests for four different cases. For verifying the suggested method, realsized profile rolling tests were performed, and test results were compared with the predictions of the equation.

Preform Design of a Forged Punch by Approximate Optimization (근사 최적화 기법을 이용한 펀치 단조품의 예비성형체 설계)

  • Park, Sangkun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.7
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    • pp.4057-4064
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    • 2014
  • In this paper, attempts were made to design a preform for a final punch inexpensively using the proposed approximate optimization method or metamodel-based simulation optimization. The design objective of this work is to achieve a uniform distribution of effective strains, the angle dimension of the preformed punch is chosen as a design variable, and maximum underfill ratio is used as a constraint. For this optimization, a computer simulation of a practical punch forging process is run using DEFORM software, in which a preformed punch(workpiece), a master punch(upper die), and a bottom die are dealt with. A validation method is introduced to determine if the simulation results match the actual forging process. In addition, this work presents the detailed design optimization procedure consisting of (i) generation of an initial metamodel, (ii) metamodel optimization, (iii) validation of metamodel-predicted optimum, and (iv) metamodel improvement.