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Predicting optimal process conditions for flip-chip aassembly using copper column bumped dies

Predicting optimal process conditions for flip-chip aassembly using copper column bumped dies

Lu, H. and Bailey, C. (2002) Predicting optimal process conditions for flip-chip aassembly using copper column bumped dies. In: Proceedings of 4th Electronics Packaging Technology Conference (EPTC 2002). Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 338-343. ISBN 0780374355 (doi:10.1109/EPTC.2002.1185694)

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Abstract

Recently, research has been carried out to test a novel bumping method which omits the under bump metallurgy (UBM) forming process by bonding copper columns directly onto the Al pads of the silicon dies. This bumping method could be adopted to simplify the flip chip assembly process, increase the productivity and achieve a higher I/O count. Computer modelling methods are used to predict the shape of solder joints and response of the flip chip to thermal cyclic loading. The accumulated plastic strain energy at the comer solder joints is used as the damage indicator. Models with a range of design parameters have been compared for their reliability. The ranking of the relative importance of these parameters is given. Results from these analyses are being used by our industrial and academic partners to identify optimal design conditions.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of 4th Electronics Packaging Technology Conference (EPTC 2002)
Additional Information: [1] This paper was first presented at the 4th Electronics Packaging Technology Conference (EPTC 2002) held from 10-12 December 2002 in Singapore. [2] ISBN: 0780374355 (Print); 0780376870 (CD-ROM)
Uncontrolled Keywords: assembling, circuit reliability, copper, flip-chip devices printed circuit manufacture, reflow soldering, sensitivity analysis
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/782

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