Glinski, G.P., Bailey, C. ORCID: https://orcid.org/0000-0002-9438-3879 and Pericleous, K.A. ORCID: https://orcid.org/0000-0002-7426-9999 (2001) A non-Newtonian computational fluid dynamics study of the stencil printing process. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 215 (4). pp. 437-446. ISSN 0954-4062 (Print), 2041-2983 (Online) (doi:10.1243/0954406011520869)

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Abstract

This paper describes the application of computational fluid dynamics (CFD) to simulate the macroscopic bulk motion of solder paste ahead of a moving squeegee blade in the stencil printing process during the manufacture of electronic components. The successful outcome of the stencil printing process is dependent on the interaction of numerous process parameters. A better understanding of these parameters is required to determine their relation to print quality and improve guidelines for process optimization. Various modelling techniques have arisen to analyse the flow behaviour of solder paste, including macroscopic studies of the whole mass of paste as well as microstructural analyses of the motion of individual solder particles suspended in the carrier fluid. This work builds on the knowledge gained to date from earlier analytical models and CFD investigations by considering the important non-Newtonian rheological properties of solder pastes which have been neglected in previous macroscopic studies. Pressure and velocity distributions are obtained from both Newtonian and non-Newtonian CFD simulations and evaluated against each other as well as existing established analytical models. Significant differences between the results are observed, which demonstrate the importance of modelling non-Newtonian properties for realistic representation of the flow behaviour of solder paste.

Item Type:	Article
Uncontrolled Keywords:	solder paste, stencil printing, CFD, computational fluid dynamics, finite volume method, non-Newtonian, dense suspension
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TP Chemical technology
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 > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher Publisher Organisation
Last Modified:	13 Mar 2019 11:30
URI:	http://gala.gre.ac.uk/id/eprint/341

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