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Numerical Modeling of Metal-Based Additive Manufacturing Using Level Set Methods
Author(s) -
Qian Ye,
Shikui Chen
Publication year - 2017
Publication title -
journal of manufacturing science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.366
H-Index - 98
eISSN - 1528-8935
pISSN - 1087-1357
DOI - 10.1115/1.4036290
Subject(s) - multiphysics , laminar flow , process (computing) , convergence (economics) , computer science , heat transfer , flow (mathematics) , mechanical engineering , set (abstract data type) , field (mathematics) , partial differential equation , computational science , mechanics , mathematical optimization , engineering , mathematics , finite element method , physics , mathematical analysis , thermodynamics , pure mathematics , economics , programming language , economic growth , operating system
The advance in computational science and engineering allows people to simulate the additive manufacturing (AM) process at high fidelity, which has turned out to be a valid way to model, predict, and even design the AM processes. In this paper, we propose a new method to simulate the melting process of metal powder based AM. The governing physics is described using partial differential equations for heat transfer and Laminar flow. Level set methods are applied to track the free surface motion of the molten metal flow. Some fundamental issues in the metal-based AM process, including free surface evolution, phase transitions, and velocity field calculation, are explored, which help us gain insight into the metal-based AM process. The convergence problem is also examined to improve the efficiency in solving this multiphysics problem.

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