Stoyanov, S. ORCID: 0000-0001-6091-1226, Bailey, C. ORCID: 0000-0002-9438-3879, Saxena, N. and Adams, S. (2004) Modelling the wave soldering process. In: Proceedings of the 6th International Conference on Electronics Materials and Packaging (EMAP 2004). Institute of Electrical and Electronics Engineers, pp. 553-558. ISBN 983251486X

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Abstract

Compuational fluid dynamics (CFD) is used to help understand the gas flow characteristics in the wave soldering process. CFD has the ability to calculate (1) heal transfer, (2) fluid dynamics, and (3) oxygen concentration throughout the wave soldering machine. Understanding the impact of fluid dynamics on oxygen concentration is important as excessive oxygen at the solder bath can lead to high dross contents and hence poor solder joint quality on the printed circuit board. This paper describes the CFD modelling approach and illustrates its capability for a machine which has nitrogen injectors near the solder bath. Different magnitiutes of nitrogen flow rates are investigated and it is demonstrated how these effect the oxygen concentration at the bath surface.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the 6th International Conference on Electronics Materials and Packaging (EMAP 2004)
Additional Information:	[1] This paper was first presented at the 6th International Conference on Electronics Materials and Packaging (EMAP 2004), held from 5-7 December 2004 in Penang, Malaysia.
Uncontrolled Keywords:	compuational fluid dynamics (CFD), wave soldering, gas flow, modelling
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery
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:	Organisation
Last Modified:	13 Mar 2019 11:31
URI:	http://gala.gre.ac.uk/id/eprint/838

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