Richardson, Andrew, Bailey, Christopher ORCID: https://orcid.org/0000-0002-9438-3879, Yanou, Jean Marc, Dumas, Norbert, Liu, Dongsheng, Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226 and Strusevitch, Nadia (2007) "System in package technology" - design for manufacture challenges. Circuit World, 33 (1). pp. 36-46. ISSN 0305-6120 (doi:10.1108/03056120710723706)

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Abstract

Purpose – To present key challenges associated with the evolution of system-in-package technologies and present technical work in reliability modeling and embedded test that contributes to these challenges.

Design/methodology/approach – Key challenges have been identified from the electronics and integrated MEMS industrial sectors. Solutions to optimising the reliability of a typical assembly process and reducing the cost of production test have been studied through simulation and modelling studies based on technology data released by NXP and in collaboration with EDA tool vendors Coventor and Flomerics.

Findings – Characterised models that deliver special and material dependent reliability data that can be used to optimize robustness of SiP assemblies together with results that indicate relative contributions of various structural variables. An initial analytical model for solder ball reliability and a solution for embedding a low cost test for a capacitive RF-MEMS switch identified as an SiP component presenting a key test challenge.

Research limitations/implications – Results will contribute to the further development of NXP wafer level system-in-package technology. Limitations are that feedback on the implementation of recommendations and the physical characterisation of the embedded test solution.

Originality/value – Both the methodology and associated studies on the structural reliability of an industrial SiP technology are unique. The analytical model for solder ball life is new as is the embedded test solution for the RF-MEMS switch.

Item Type:	Article
Uncontrolled Keywords:	circuits, electromechanical devices, electronics industry, reliability management
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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
Related URLs:	Publisher Organisation Organisation Organisation
Last Modified:	30 Sep 2019 14:20
URI:	http://gala.gre.ac.uk/id/eprint/1063

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