Loughborough University
Browse
RC75.pdf (1.1 MB)

Mechanical and electrical characterisation of individual ACA conductor particles

Download (1.1 MB)
conference contribution
posted on 2009-02-10, 13:11 authored by Guangbin Dou, David Whalley, Changqing Liu
Anisotropic conductive adhesives (ACAs) consist of a polymer adhesive matrix containing fine conductive particles. The primary objective of this experimental research is to establish a clearer understanding of the effects of the bonding force on the deformation of individual ACA particles and their resulting conductivity when in contact with an appropriate metallic surface. This has been achieved through simultaneous measurements of the deformation and electrical resistance whilst applying force using a specially configured nano-indenter machine, where the "indenter", instead of being pointed, had a flat tip about 20-30 mum in diameter. The merit of using this machine is that very small forces, of the order of 100 mN, can be accurately applied to the particles to a resolution of 100 nN and the resulting deformations, of less than 6 mum, can then be recorded to a resolution of 0.1 nm. The results showed that the ACA particle deformation was nonlinear and that the force/deformation at which particle crushing occurs was affected by the load rate. The resistance was observed to decrease as the deformation increased up to the crush point at which stage it increased slightly. The voltage versus current behaviour of a deformed ACA particle was also found to be linear.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

DOU, G., WHALLEY, D.C. and LIU, C., 2006. Mechanical and electrical characterisation of individual ACA conductor particles. IN: Proceedings, IEEE International Conference on Electronic Materials and Packaging. EMAP 2006, Hong Kong, 11-14th December 2006, pp. 667-675

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2006

Notes

This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4430557. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424408344

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC