2006 7th International Conference on Electronic Packaging Technology 2006
DOI: 10.1109/icept.2006.359831
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The Optimization of Reflow Soldering Temperature Profile Based on Simulation

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Cited by 11 publications
(7 citation statements)
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“…This includes temperature adjustments in various zones, conveyor belt speed, airflow, etc. [14] to achieve the appropriate process requirements and ensure a higher yield of good-quality products.…”
Section: Establishing Accurate Simulation Modelmentioning
confidence: 99%
“…This includes temperature adjustments in various zones, conveyor belt speed, airflow, etc. [14] to achieve the appropriate process requirements and ensure a higher yield of good-quality products.…”
Section: Establishing Accurate Simulation Modelmentioning
confidence: 99%
“…The optimum values of the designed parameters of the package were determined based on that methodology. The FEM approach was reported by Gong et al (2006) to optimize the reflow profile of a BGA package by reducing the maximum thermal stress of a package. The optimization algorithm was coded in ANSYS to solve the objective mentioned before.…”
Section: Challenges In Optimization Of the Reflow Soldering Processmentioning
confidence: 99%
“…Moreover, the set temperature of each zone and the conveyor speed play a crucial role in the quality of products. erefore, how to adjust and control them reasonably, especially the optimization of the temperature profile, has been a research focus [2][3][4][5][6]. At present, most work in this field is checked and adjusted by experimental tests, for lack of a complete theoretical model.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, the mainstream was the finiteelement method (FEM) with advantages that there is no need to consider the complex differential equations and unintelligible physical concepts. While there was a fact that its accuracy was incomparable, the computation was particularly enormous [5,[9][10][11][12][13]. e surface temperature of the motherboard on flexible printed circuit boards was predicted using the simulation software ANSYS, though the reliability of the results still needs further experimental verification [14].…”
Section: Introductionmentioning
confidence: 99%
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