TY  - CONF
VL  - 13
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905020743&doi=10.1051%2fmatecconf%2f20141304028&partnerID=40&md5=a9ff594fd39f194813493fc4a4b1ff78
A1  - Muhsan, A.S.
A1  - Ahmad, F.
A1  - Mohamed, N.M.
A1  - Yusoff, P.S.M.M.
A1  - Raza, M.R.
A1  - Afrooz, I.E.
SN  - 2261236X
PB  - EDP Sciences
Y1  - 2014///
KW  - Computer simulation; Copper; Nanocomposites; Numerical models
KW  -  Cu/cnts composites; Electronics devices; Fabrication technique; Interface thermal resistance; Low coefficient of thermal expansions; Powder injection molding; Prediction methods; Thermal behaviours
KW  -  Thermal conductivity
TI  - Experimental preparation and numerical simulation of high thermal conductive Cu/CNTs Nanocomposites
ID  - scholars5041
N2  - Due to the rapid growth of high performance electronics devices accompanied by overheating problem, heat dissipater nanocomposites material having ultra-high thermal conductivity and low coefficient of thermal expansion was proposed. In this work, a nanocomposite material made of copper (Cu) reinforced by multi-walled carbon nanotubes (CNTs) up to 10 vol.  was prepared and their thermal behaviour was measured experimentally and evaluated using numerical simulation. In order to numerically predict the thermal behaviour of Cu/CNTs composites, three different prediction methods were performed. The results showed that rules of mixture method records the highest thermal conductivity for all predicted composites. In contrast, the prediction model which takes into account the influence of the interface thermal resistance between CNTs and copper particles, has shown the lowest thermal conductivity which considered as the closest results to the experimental measurement. The experimentally measured thermal conductivities showed remarkable increase after adding 5 vol. CNTs and higher than the thermal conductivities predicted via Nan models, indicating that the improved fabrication technique of powder injection molding that has been used to produced Cu/CNTs nanocomposites has overcome the challenges assumed in the mathematical models. © 2014 Owned by the authors, published by EDP Sciences.
N1  - cited By 0; Conference of 4th International Conference on Production, Energy and Reliability, ICPER 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:106620
AV  - none
CY  - Kuala Lumpur
ER  -