2002
DOI: 10.1108/09540910210416440
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A simplified model of the reflow soldering process

Abstract: • This is a conference paper and the definitive version is also available at: http://ieeexplore.ieee.org. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ABSTRACTPrevious models of the reflow soldering process have used commercial finite d… Show more

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Cited by 10 publications
(1 citation statement)
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“…There are several ways to simulate the reflow soldering process, including the finite element method (FEM) [4], finite volume method (FVM) [5,6], fluid-structure interface (FSI) [7], lattice Boltzmann's method (LBM) [8], discrete phase method (DPM) [9] and molecular dynamic (MD) [10]. Whall et al [11] used ANSYS finite element analysis software to conduct temperature field simulation of 2-D PCBA components and obtained simulated temperature data. Gong et al [12] simulated the reflow soldering process and optimized the temperature profile by establishing the FE model of PCBA assembly containing a ball grid array (BGA) component and genetic algorithm (GA) optimization.…”
Section: Introductionmentioning
confidence: 99%
“…There are several ways to simulate the reflow soldering process, including the finite element method (FEM) [4], finite volume method (FVM) [5,6], fluid-structure interface (FSI) [7], lattice Boltzmann's method (LBM) [8], discrete phase method (DPM) [9] and molecular dynamic (MD) [10]. Whall et al [11] used ANSYS finite element analysis software to conduct temperature field simulation of 2-D PCBA components and obtained simulated temperature data. Gong et al [12] simulated the reflow soldering process and optimized the temperature profile by establishing the FE model of PCBA assembly containing a ball grid array (BGA) component and genetic algorithm (GA) optimization.…”
Section: Introductionmentioning
confidence: 99%