Simultaneous Optimization for Multiple Responses on the Compression Moulding Parameters of Composite Graphite – Polypropylene Using Taguchi Method

Mohd Zulkefli Selamat; Jaafar Sahari; Norhamidi Muhamad; Andanastuti Muchtar

doi:10.4028/www.scientific.net/KEM.471-472.361

Paper Titles

Fundamental Frequency Optimization of Laminated Cylindrical Panels by Elitist-Genetic Algorithm
p.337

Finite Element Analysis of Fibre Reinforce Concrete Beam Subject to High Temperature by Using EURO-Code Models
p.343

Responses of Aging Treatment to the Behavior of Aluminum Alloy with Addition of 0.02% Zirconium Element
p.349

Poly(vinylidene Fluoride)/Microcrystalline Cellulose Nanocomposites with Enhanced Compatibility and Properties
p.355

Simultaneous Optimization for Multiple Responses on the Compression Moulding Parameters of Composite Graphite – Polypropylene Using Taguchi Method
p.361

Modeling and Analysis of Elastoplastic Impacts on Supported Composites
p.367

PVDF-HFP-NH₄CF₃SO₃-SiO₂ Nanocomposite Polymer Electrolytes for Protonic Electrochemical Cell
p.373

Li₂CO₃ – Al₂O₃ Composite Solid Electrolytes Prepared by Sol Gel Method
p.379

Measurement on Strain Rate Sensitivity and Dynamic Mechanical Properties of Various Polymeric Materials
p.385

HomeKey Engineering MaterialsKey Engineering Materials Vols. 471-472Simultaneous Optimization for Multiple Responses...

Simultaneous Optimization for Multiple Responses on the Compression Moulding Parameters of Composite Graphite – Polypropylene Using Taguchi Method

Abstract:

This research concerns the effect of compression molding parameters on conducting polymer composite (CPC) properties such as electrical conductivity and flexural strength. In the present work on CPC, focus is given to graphite (G) as filler and polypropylene (PP) was use as the binder. The Taguchi’s L9 orthogonal array has been used as design of experiment (DOE) while the electrical conductivity and flexural strength were assumed to be quality characteristic (responses). The electrical conductivity was measured using four point probes and flexural strength was measured using three point tests according to ASTM D638. Classical analysis of variance (ANOVA) was used to investigate the significant of each compression molding parameters and finally propose the optimum compression molding parameters. But for several responses, the optimum condition for one response is not very likely to the optimum condition for other response.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 471-472)

Pages:

361-366

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.471-472.361

Citation:

Cite this paper

Online since:

February 2011

Authors:

Mohd Zulkefli Selamat, Jaafar Sahari, Norhamidi Muhamad, Andanastuti Muchtar

Keywords:

Analysis of Variance (ANOVA), Conducting Polymer Composite (CPC), Electrical Conductivity, Flexural Strength, Graphite, Taguchi Method

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Thongruang, W., 2001. Properties of Polymer Blends Filled with Mixtures of Conductive Filler, North Carolina University, United States, Raleigh. PhD Thesis.

Google Scholar

[2] Strumpler R, Glatz-Reichenbach J., 1999. J Electroceram 4: pp.320-346.

Google Scholar

[3] Martin JE, Anderson RA, Odinek J, Adolf D, Williamson J., 2003 Phys Rev. B 67: 094207.

Google Scholar

[4] Raj PM, Balaraman D, Abothu IR, Yoon C, Kang NK, Tummala R. 2007. IEEE Trans Compon Packag Technol 30: pp.569-578.

Google Scholar

[5] Dweiri R, Sahari J. 2007. J Power Source 171: pp.424-432.

Google Scholar

[6] Acosta, J.L., Ojeda, M. C. & Rio C. D., 2006. Polymer Bulletin (57): pp.199-206.

Google Scholar

[7] Ezquerra, T.A., Connor, M.T., Roy, S. & Kulescza, M., 2001. Compos. Sci. Tech. 61: p.903.

Google Scholar

[8] Zou, J.F., Yu, Z.Z., Pan, Y.X., Fang, X.P. & Ou, Y.C. 2002. Journal of Polymer Science: Part B: Polymer Physics 40: 954-963.

Google Scholar

[9] Wu, M. & Shaw, L.L. 2004. Journal of Power Sources 136: 37-44.

Google Scholar

[10] Hermann, A. Chaudhuri, T. & Spagnol, P. 2005. Int J. Hydrogen Energy. 30(12): pp.1297-1302.

Google Scholar

[11] Middelman, E., Kout, W., Vogelaar, B., Lenssen, J. & de Waal, E. 2003. Journal Power Sources. 118: pp.44-46.

DOI: 10.1016/s0378-7753(03)00070-3

Google Scholar

[12] Dweiri, R., & Sahari, J., 2008. Composites Science and Technology (68) : p.1679–1687.

Google Scholar

[13] Roy, R.K., 1990, A Primer On The Taguchi Method, Society of manufacturing Engineers, USA.

Google Scholar

[14] P.J. Ross, 1988, Taguchi Techniques for Quality Engineering, McGraw Hill International Edition, USA.

Google Scholar

[15] Park,S. H, Robust Design and Analysis for Quality Engineering, Chapman & Hall, London (1996).

Google Scholar