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Optimising the wave soldering process for lead free solders

Optimising the wave soldering process for lead free solders

Stoyanov, S. ORCID: 0000-0001-6091-1226, Bailey, C. ORCID: 0000-0002-9438-3879, Saxena, N. and Adams, S. (2005) Optimising the wave soldering process for lead free solders. In: Proceeding of 2005 International Conference on Asian Green Electronics - Design for Manufacturability and Reliability - (2005 AGEC). Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 125-128. ISBN 0780388062 (doi:https://doi.org/10.1109/AGEC.2005.1452331)

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Abstract

Nitrogen is now used in wave soldering machines to help lower the amount of dross that can be formed on the solder bath surface. The paper provides details on the use of computational fluid dynamics in helping understand the flow profiles of nitrogen in a wave soldering machine and to predict the concentration of nitrogen and oxygen around the solder bath.

Item Type: Conference Proceedings
Title of Proceedings: Proceeding of 2005 International Conference on Asian Green Electronics - Design for Manufacturability and Reliability - (2005 AGEC)
Additional Information: [1] This paper was first presented at the 2005 International Conference on Asian Green Electronics - Design for Manufacturability and Reliability (2005 AGEC) held from 15-18 March 2005 in Shanghai, China. [2] ISBN: 0780388062 (Bound ed.); 0780388070 (CD-Rom ed.)
Uncontrolled Keywords: computational fluid dynamics, CFD, computer aided analysis, engineering computing, flow, nitrogen, optimisation, oxygen, wave soldering
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
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:
Last Modified: 13 Mar 2019 11:32
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/944

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