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논문 기본 정보

자료유형
학술저널
저자정보
Keval Priapratama Prajadhiana (Universiti Teknologi MARA) Yupiter HP Manurung (Universiti Teknologi MARA) Mohamad Shahar Sulaiman (Universiti Teknologi MARA) Mohd Shahriman Adenan (Universiti Teknologi MARA)
저널정보
Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Vol.37 No.2
발행연도
2020.2
수록면
91 - 97 (7page)
DOI
10.7736/JKSPE.019.090

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초록· 키워드

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This study presents a distortion analysis of a welded T-joint by using the virtual manufacturing (VM). Two different nonlinear 3D FEM-based VM systems, namely the general purpose MSC Marc/Mentat and the specialized Simufact.Welding software are compared and verified with the experiment. Both simulations are conducted based on an uncomplicated procedure without considering enormously on the weldment shape and resulting transient temperature distribution. Within this VM procedure, the heat source is modeled following Goldak’s double ellipsoid and the flow curve as one of the material properties of low carbon steel S235 is added with only one strain rate (0.001 s) based on non-linear isotropic plasticity model and von-Mises yield stress criterion. As the final outcome, the simplified procedures, weld geometry, and material properties will reduce the pre-processing without deteriorating the distortion results tremendously. Welding provides more structured and clearer simulation steps with more precise results of the angular distortion (Average of 7.25%) compared to the general purpose MSC Marc/Mentat (Average of 14.5%). This simplified simulation procedure without heat source and temperature calibration as well as complex material properties can be recommended for implementation if the time matter is constrained and the results are expected to be moderate.

목차

1. Introduction
2. Virtual Manufacturing Using Nonlinear 3D-FEM Systems: Material Model, Process Parameters and Geometry
3. Experimental Setup and Procedures of Welded T-Joint
4. Result and Discussion
5. Conclusion
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