Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Yannou, J.-M., Bailey, Christopher ORCID: https://orcid.org/0000-0002-9438-3879 and Strusevitch, Nadia (2007) Reliability based design optimisation for system-in-package. In: Ernst, L.J., Zhang, G.Q., Rodgers, P., Meuwissen, M., Marco, S., Van Driel, W.D. and De Saint Leger, O., (eds.) EUROSIME 2007: Thermal, Mechanical and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems, Proceedings. Institute of Electrical and Electronics Engineers, Inc., New York, pp. 289-296. ISBN 9781424411054 (doi:10.1109/ESIME.2007.359948)

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Abstract

This paper discusses a reliability based optimisation modelling approach demonstrated for the design of a SiP structure integrated by stacking dies one upon the other. In this investigation the focus is on the strategy for handling the uncertainties in the package design inputs and their implementation into the design optimisation modelling framework. The analysis of fhermo-mechanical behaviour of the package is utilised to predict the fatigue life-time of the lead-free board level solder interconnects and warpage of the package under thermal cycling. The SiP characterisation is obtained through the exploitation of Reduced Order Models (ROM) constructed using high fidelity analysis and Design of Experiments (DoE) methods. The design task is to identify the optimal SiP design specification by varying several package input parameters so that a specified target reliability of the solder joints is achieved and in the same time design requirements and package performance criteria are met

Item Type:	Book Section
Additional Information:	This paper forms part of the published proceedings from 8th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems London, ENGLAND, APR 16-18, 2007
Uncontrolled Keywords:	SiP structure, thermo-mechanical behaviour, reduced order models (ROM)
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 15:00
URI:	http://gala.gre.ac.uk/id/eprint/1155

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