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Modeling thermal conductivity and CTE for CNT-Cu composites for 3-D TSV application

Modeling thermal conductivity and CTE for CNT-Cu composites for 3-D TSV application

Sinha, A., Mihailovic, J.A., Morris, J.E., Hua, Lu and Bailey, C. (2010) Modeling thermal conductivity and CTE for CNT-Cu composites for 3-D TSV application. In: Nanotechnology Materials and Devices Conference (NMDC), 2010 IEEE. Nanotechnology Materials and Devices Conference (NMDC), 2010 IEEE . IEEE Xplore Digital Library, Monterey, CA, pp. 262-266. ISBN 978-1-4244-8896-4 (doi:10.1109/NMDC.2010.5652157)

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Abstract

The goal of this research is to develop a consistent and repeatable method to evaluate: a) effective thermal conductivity, and b) axial and transverse coefficients of thermal expansion (CTE) of SWCNT (single walled carbon nanotube)-Cu composites, with the view to potentially replacing Cu vias with CNT-Cu TSVs (through-silicon vias) in 3D electronics packaging. Finite element models were built using Abaqus® v. 6.9. CTE and thermal conductivity models encompassed different SWCNT and Cu interactions at the interface. The impact of changing the volume fraction as well as using filler metals or polymers other than Cu can easily be studied from the proposed models, as long as their bulk properties are known.

Item Type: Conference Proceedings
Title of Proceedings: Nanotechnology Materials and Devices Conference (NMDC), 2010 IEEE
Uncontrolled Keywords: effective thermal conductivity, axial and transverse coefficients of thermal expansion (CTE), SWCNT (single walled carbon nanotube)-Cu composites, Cu vias, CNT-Cu TSVs, Abaqus® v. 6.9
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Smart Systems Technologies
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7626

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