2010 11th International Conference on Electronic Packaging Technology &Amp; High Density Packaging 2010
DOI: 10.1109/icept.2010.5582361
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Co-design for thermal performance and mechanical reliability of flip chip devices

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Cited by 2 publications
(2 citation statements)
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“…With consideration of process, materials and design, we have demonstrated that mold flow simulation is an effective tool to reduce the design-to-implementation cycle time with identification of potential void and melt front imbalance issues. With our increasing range of flip chip products provided, we provide a comprehensive closed-loop solution including moldflow, materials, process, thermal, mechanical and electrical studies [3] to address the rising challenges faced with greater consumer demands for better performance and greater functionalities. moldflow tool support.…”
Section: Discussionmentioning
confidence: 99%
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“…With consideration of process, materials and design, we have demonstrated that mold flow simulation is an effective tool to reduce the design-to-implementation cycle time with identification of potential void and melt front imbalance issues. With our increasing range of flip chip products provided, we provide a comprehensive closed-loop solution including moldflow, materials, process, thermal, mechanical and electrical studies [3] to address the rising challenges faced with greater consumer demands for better performance and greater functionalities. moldflow tool support.…”
Section: Discussionmentioning
confidence: 99%
“…The simulation tool is used actively to-fro in conjunction with materials, process and design inputs and considerations, to predict the trend of various factors on moldability upfront to reduce the yield, cost and cycle time as shown in Fig.2. With our increasing range of flip chip products provided, we provide a comprehensive closed-loop solution including moldflow, thermal, mechanical and electrical studies [3] to the rising challenges faced with greater consumer demands for smaller and thinner flip-chip packages with better performance and greater functionalities.…”
Section: Fig1: Rheokinetic Flow Modeling Matrixmentioning
confidence: 99%