For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Multi Band Gap Cu(In,Ga)(S,Se)2 Thin Films Deposited by Spray Pyrolysis for High Performance Solar Cell Devices
p.143
Ambient Air Synthesis of Hole Transport Layer Free CH3NH3PbI3 Solar Cells
p.149
pH Influences on Optical Absorption of Anthocyanin from Black Rice as Sensitizer for Dye Sensitized Solar Cell TiO2 Nanoparticles
p.154
Study on the Surface Morphology of PVdF-LiBOB Solid Polymer Electrolyte with TiO2 Filler for Lithium-Ion Battery Application
p.159
Simulation Model of Multiple Cluster Fractals Cultured in Nanocomposite Polymer Electrolyte Film
p.163
Growth and Characteristics of SnO2/Ag/SnO2 Multi Layer Film with Thickness Variation of SnO2 Layer
p.169
Interfacial Reaction Analysis of Sn-Ag-Cu Solder Reinforced with 0.01wt% CNTs with Isothermal Aging
p.175
Structural and Thermal Properties Investigation of Stearic Acid Dispersed Fe3O4/TiO2 Nanocomposites for Thermal Energy Storage
p.180
Nanoparticles Performance as Fluid Loss Additives in Water Based Drilling Fluids
p.189

Simulation Model of Multiple Cluster Fractals Cultured in Nanocomposite Polymer Electrolyte Film

Article Preview

Abstract:

This work contributes to the melioration of the modeling and simulation of laboratory cultured fractals using poly (vinylidene fluoride-co-hexafluoropropylene)/poly (ethyl methacrylate)-ammonium trifluorome-thanesulfonate nanocomposite polymer electrolyte films as the media of growth. Main focus is given to fractals and fractal growth models particularly DLA (Diffusion Limited Aggregation). The DLA cluster formed through DLA is formed by particles moving in Brownian motion (diffusion) which meet and stick together randomly (aggregation) to form the cluster. The simulation of multiple cluster fractals is done using DLA methods incorporating different parameters such as its sticking coefficient, lattice geometry and number of particles. To compare the simulation with the real patterns obtained, one vital aspect would be the calculation of their fractal dimension values. The computer program developed is able to calculate the fractal dimension value of each of the simulated fractal patterns. Suitable fractal dimension calculation method is employed according to its usefulness and efficiency. Fractal growth modeling and simulation such as done here can contribute to the understanding of other related studies concerning fractal growth found in areas including medical (nervous systems, cancer growth and more).

You might also be interested in these eBooks
4th International Conference on Nano and Materials Engineering 2016 View Preview

Info:

Periodical:

Materials Science Forum (Volume 864)

Pages:

163-168

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.864.163

Citation:

Cite this paper

Online since:

August 2016

Authors:

Shahizat Amir*, Nor Sabirin Mohamed, Siti Aishah Hashim Ali, Shahrul Amir

Keywords:

Culture, Fractals, Polymer Electrolytes, Simulation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] P.G. Bruce, Solid State Electrochemistry, Cambridge University Press, Cambridge, UK, (1995).

Google Scholar

[2] N.S. Mohamed, A. M. M Ali., A. K Arof., Polyethylene oxide (PEO)–ammonium sulfate (NH4)2SO4) complexes and electrochemical cell performance, Journal of Power Sources, 74 (1998) 135-141.

DOI: 10.1016/s0378-7753(98)00045-7

Google Scholar

[3] R.H. Y Subban. N. S. Mohamed, A. K Arof., Polymer batteries fabricated from lithium complexed acetylated chitosan, Journal of Power Sources, 56 (1995) 153-156.

DOI: 10.1016/0378-7753(95)80027-e

Google Scholar

[4] A. Dawar, A. Chandra, Electric field driven fractal growth dynamics in polymeric medium, Phys. Lett. A, 378, (2014) 2951–2958.

DOI: 10.1016/j.physleta.2014.08.016

Google Scholar

[5] N. Srivastava, A. Chandra, S. Chandra, Dense branched growth of (SCN) x and ion transport in the poly (ethyleneoxide) NH 4 SCN polymer electrolyte, Physical Review B, 52 (1995) 225-230.

DOI: 10.1103/physrevb.52.225

Google Scholar

[6] M. Maitra, D. Mal, R. Dasgupta, S. Tarafdar, Physica a-Statistical Mechanics and Its Applications, 346 (2005) 191-199.

DOI: 10.1016/j.physa.2004.08.066

Google Scholar

[7] B. Mandelbrot, The Fractal Geometry of Nature. ed. by WH Freeman, (1982).

Google Scholar

[8] H. Hastings, G. Sugihara, Fractals. A user's guide for the natural sciences, Oxford Science Publications, New York, (1993).

Google Scholar

[9] B. Mandelbrot, Science, How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension, New Series, 156 (1967) 636-638.

DOI: 10.1126/science.156.3775.636

Google Scholar

[10] S. Amir, N. Mohamed, S. Ali, Simulation model of the fractal patterns in ionic conducting polymer films, Central European Journal of Physics, 8 (2010) 150-156.

DOI: 10.2478/s11534-009-0036-6

Google Scholar

[11] S. Amir, S. Ali, N. Mohamed, Studies of fractal growth patterns in poly (ethylene oxide) and chitosan membranes, Ionics, 17 (2011) 121-125.

DOI: 10.1007/s11581-010-0500-8

Google Scholar

[12] S. Amir, S.A. Hashim_Ali, N.S. Mohamed, Implementation of a diffusion-limited aggregation model in the simulation of fractals in PVDF-HFP/ PEMA–NH4CF3SO3–Cr2O3 nanocomposite polymer electrolyte films, Phys. Scr. , 84 (2011) 045802.

DOI: 10.1088/0031-8949/84/04/045802

Google Scholar

[13] T. Witten, L. Sander, Physical review letters, (1981).

Google Scholar

[14] S. A. Hashim. Ali., N. S. Mohamed, S.A. A., A.K. Arof, Solid State Ionic Devices: Science & Technology, (2000) 16-19.

Google Scholar

[15] J.W. Litwinenko, A.M. Rojas, L.N. Gerschenson, A.G. Marangoni, Relationship between crystallization behavior, microstructure, and mechanical properties in a palm oil-based shortening, J Am Oil Chem Soc, 79 (2002) 647-654.

DOI: 10.1007/s11746-002-0538-y

Google Scholar

[16] P.P. Chattaraj, A.K. Kalidaha, R. Mukhopadhyay, A.K. Bhatacharya, D.K. Tripathy, Rheological Study of Filled SBR Compounds with Trans-Polyoctenylene (TOR) and their Interaction Mechanism, Int J Polym Mater, 33 (1996) 73-87.

DOI: 10.1080/00914039608028609

Google Scholar

[17] P. Somasundaran, V. Runkana, Modeling flocculation of colloidal mineral suspensions using population balances. Int J Miner Process, Int J Miner Process, 72 (2003) 33-55.

DOI: 10.1016/s0301-7516(03)00086-3

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.