Production of electrically conducting plastic composites by three-dimensional chaotic mixing of melts and powder additives

2000 ◽  
Vol 6 (1) ◽  
pp. 26-33 ◽  
Author(s):  
R. I. Danescu ◽  
D. A. Zumbrunnen
1999 ◽  
Author(s):  
R. I. Danescu ◽  
D. A. Zumbrunnen

Abstract Extended micron-scale structures were produced in thermoplastic melts from initially large clusters of conducting carbon black particles transported by three-dimensional chaotic mixing. The structures formed networks that were captured by solidification and rendered the composite materials electrically conducting. A systematic study was carried out to assess the influence of key parameters and relate the electrical properties to the microstructures. Micrographs showed complex structures exhibiting patterns characteristic of chaos. Electrical measurements indicated that conductivity was achieved at carbon black concentrations significantly lower than achievable by common mixing methods, and lower than reported recently for two-dimensional chaotic mixing.


Author(s):  
Andre Mähringer ◽  
Markus Döblinger ◽  
Matthias Hennemann ◽  
Christoph Gruber ◽  
Dominik Fehn ◽  
...  

2021 ◽  
Author(s):  
Andre Mähringer ◽  
Markus Döblinger ◽  
Matthias Hennemann ◽  
Christoph Gruber ◽  
Dominik Fehn ◽  
...  

2020 ◽  
Vol 9 (4) ◽  
pp. 354-361
Author(s):  
P. K. Pattnaik ◽  
S. R. Mishra ◽  
Ram Prakash Sharma

Present paper aims to analyze three-dimensional (3D) motion of an electrically conducting nanofluid past an exponentially stretching sheet. Both metal and metal oxide nanoparticles (such as Cu, Al2O3, TiO2) in the base fluid (water) are examined. Nonlinear ordinary differential systems are obtained by suitable transformations. The crux of the analysis is the development of an estimated analytical result obtained by employing the “Adomian Decomposition Method” (ADM), an approximate analytical method. Momentum and energy descriptions with prescribed boundary conditions are employed. The velocity components and temperature are analyzed. Tabulated values are organized aimed at the outcomes of skin-friction coefficients and Nusselt number. Comparison with past limiting results is shown. Finally, the outstanding outcomes of the present result are; the velocity profile with the inclusion of particle concentration and magnetic parameter decelerate significantly and Al2O3 nanoparticles are favorable for the enhancement in the rate of heat transfer.


AIP Advances ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 105214
Author(s):  
Zakir Hussain ◽  
Ahmed Elazab ◽  
Sultan Hussain ◽  
Huisheng Zhang

Author(s):  
Thuy Hong Van-Le ◽  
Sangmo Kang ◽  
Yong Kweon Suh ◽  
Yangyang Wang

The quality of chaotic mixing in three-dimensional micro channel flow has been numerically studied using Fractional-step method (FSM) and particle tracking techniques such as Poincare´ section and Lyapunov exponents. The flow was driven by pressure distribution and the chaotic mixing was generated by applying alternating current to electrodes embedded on the bottom wall at a first half period and on the top wall at a second half period. The equations governing the velocity and concentration distributions were solved using FSM based on Finite Volume approach. Results showed that the mixing quality depended significantly on the modulation period. The modulation period for the best mixing performance was determined based on the mixing index for various initial conditions of concentration distribution. The optimal values of modulation period obtained by the particle tracking techniques were compared with those from the solution of concentration distribution equation using FSM and CFX software and the comparison showed their good match.


Sign in / Sign up

Export Citation Format

Share Document