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Computational modeling techniques for reliability of electronic components on printed circuit boards

Computational modeling techniques for reliability of electronic components on printed circuit boards

Bailey, C., Lu, H. and Wheeler, D. (2001) Computational modeling techniques for reliability of electronic components on printed circuit boards. Applied Numerical Mathematics, 40 (1-2). pp. 101-117. ISSN 0168-9274 (doi:10.1016/S0168-9274(01)00065-4)

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Abstract

This paper describes modeling technology and its use in providing data governing the assembly and subsequent reliability of electronic chip components on printed circuit boards (PCBs). Products, such as mobile phones, camcorders, intelligent displays, etc., are changing at a tremendous rate where newer technologies are being applied to satisfy the demands for smaller products with increased functionality. At ever decreasing dimensions, and increasing number of input/output connections, the design of these components, in terms of dimensions and materials used, is playing a key role in determining the reliability of the final assembly. Multiphysics modeling techniques are being adopted to predict a range of interacting physics-based phenomena associated with the manufacturing process. For example, heat transfer, solidification, marangoni fluid flow, void movement, and thermal-stress. The modeling techniques used are based on finite volume methods that are conservative and take advantage of being able to represent the physical domain using an unstructured mesh. These techniques are also used to provide data on thermal induced fatigue which is then mapped into product lifetime predictions.

Item Type: Article
Additional Information: [1] First published online: 12 December 2001. [2] Published in print: January 2002. [3] Special Issue on Applied and Computational Mathematics: Selected Papers of the Third PanAmerican Workshop.
Uncontrolled Keywords: multiphysics modeling, level set method, solidification, electronic product assembly
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: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/766

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