Durairaj, R., Jackson, G.J., Ekere, N.N., Glinski, G. and Bailey, C. ORCID: https://orcid.org/0000-0002-9438-3879 (2002) Correlation of solder paste rheology with computational simulations of the stencil printing process. Soldering and Surface Mount Technology, 14 (1). pp. 11-17. ISSN 0954-0911 (doi:10.1108/09540910210416422)

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Abstract

Soldering technologies continue to evolve to meet the demands of the continuous miniaturisation of electronic products, particularly in the area of solder paste formulations used in the reflow soldering of surface mount devices. Stencil printing continues to be a leading process used for the deposition of solder paste onto printed circuit boards (PCBs) in the volume production of electronic assemblies, despite problems in achieving a consistent print quality at an ultra-fine pitch. In order to eliminate these defects a good understanding of the processes involved in printing is important. Computational simulations may complement experimental print trials and paste characterisation studies, and provide an extra dimension to the understanding of the process. The characteristics and flow properties of solder pastes depend primarily on their chemical and physical composition and good material property data is essential for meaningful results to be obtained by computational simulation.This paper describes paste characterisation and computational simulation studies that have been undertaken through the collaboration of the School of Aeronautical, Mechanical and Manufacturing Engineering at Salford University and the Centre for Numerical Modelling and Process Analysis at the University of Greenwich. The rheological profile of two different paste formulations (lead and lead-free) for sub 100 micron flip-chip devices are tested and applied to computational simulations of their flow behaviour during the printing process.

Item Type:	Article
Uncontrolled Keywords:	rheology, solder pastes, stencils
Subjects:	Q Science > QA Mathematics > QA76 Computer software Q Science > QD Chemistry
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
Last Modified:	13 Mar 2019 11:31
URI:	http://gala.gre.ac.uk/id/eprint/768

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