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Tau Method for the Numerical Solution of a Fuzzy Fractional Kinetic Model and Its Application To the Oil Palm Frond as a Promising Source of Xylose

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Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

Academic Press inc Elsevier Science

Open Access Color

BRONZE

Green Open Access

No

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Publicly Funded

No
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Top 10%
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Top 10%
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Top 10%

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Abstract

The Oil Palm Frond (a lignocellulosic material) is a high-yielding energy crop that can be utilized as a promising source of xylose. It holds the potential as a feedstock for bioethanol production due to being free and inexpensive in terms of collection, storage and cropping practices. The aim of the paper is to calculate the concentration and yield of xylose from the acid hydrolysis of the Oil Palm Frond through a fuzzy fractional kinetic model. The approximate solution of the derived fuzzy fractional model is achieved by using a tau method based on the fuzzy operational matrix of the generalized Laguerre polynomials. The results validate the effectiveness and applicability of the proposed solution method for solving this type of fuzzy kinetic model. (C) 2015 Elsevier Inc. All rights reserved.

Description

Yunus, Robiah/0000-0002-3650-1291; Ahmadian, Ali/0000-0002-0106-7050; Salahshour, Soheil/0000-0003-1390-3551

Keywords

Fuzzy Differential Equations, Caputo Fractional Derivatives, Spectral Tau Method, Laguerre Polynomials, Operational Matrices, Fuzzy ordinary differential equations, fuzzy differential equations, Laguerre polynomials, Fractional ordinary differential equations, operational matrices, Caputo fractional derivatives, Numerical methods for initial value problems involving ordinary differential equations, spectral tau method

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Ahmadian, A...et al. (2015). Tau method for the numerical solution of a fuzzy fractional kinetic model and its application to the oil palm frond as a promising source of xylose. Journal Of The Computational Physics, 294, 562-584. http://dx.doi.org/10.1016/j.jcp.2015.03.011

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
60

Source

Journal of Computational Physics

Volume

294

Issue

Start Page

562

End Page

584
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Citations

CrossRef : 59

Scopus : 67

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Mendeley Readers : 27

SCOPUS™ Citations

69

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Web of Science™ Citations

61

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Page Views

3

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