Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks

Roslan, Rohaizu and Wan Daud, Wan Rosli and Zainuddin, Zarita and Pauline, Ong (2013) Optimization of cellulose phosphate synthesis from oil palmlignocellulosics using wavelet neural networks. Industrial Crops and Products, 50 (NIL). pp. 611-617. ISSN 0926-6690

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Official URL: https://dx.doi.org/10.1016/j.indcrop.2013.08.048

Abstract

Cellulose phosphate was synthesized from microcrystalline cellulose derived from oil palm lignocellu-losics via the H3PO4/P2O5/Et3PO4/hexanol method. The influence of process variables (viz. temperature,reaction time, and the H3PO4/Et3PO4ratio) on the properties of the resulting cellulose phosphate wasinvestigated using a wavelet neural network model with the goals of ascertaining which factors werecritical and of determining optimized reaction parameters for this synthesis. The experimental resultscorroborated the good fit of the wavelet neural network model. The prediction errors were quite small(less than 7%), and the regression values (R2greater than 0.99) were also satisfactory.

Item Type:	Article
Uncontrolled Keywords:	Cellulose phosphate; Microcrystalline cellulose; Oil palm lignocellulosics; Optimization; Wavelet neural networks
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA401-492 Materials of engineering and construction. Mechanics of materials
Divisions:	Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering
Depositing User:	Miss Nur Rasyidah Rosli
Date Deposited:	25 Nov 2021 04:10
Last Modified:	25 Nov 2021 04:10
URI:	http://eprints.uthm.edu.my/id/eprint/4120

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