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Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier

A solar drying experiment of seaweed, Kappaphycus alvarezii var. Tambalang using v-groove hybrid solar drier (v-GHSD) was conducted in Semporna, Sabah, under the meteorological condition of Malaysia. Drying of the seaweed in the v-GHSD led to a reduction in its moisture content from 85.32 to 38 in 5...

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Main Authors: Ali, M.K.M., Sulaiman, J., Yasir, S.M., Ruslan, M.H., Fudholi, A., Muthuvalu, M.S., Ramu, V.
Format: Article
Published: Universiti Putra Malaysia 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017121987&partnerID=40&md5=47353d56ac80248042283c5c77213c2b
http://eprints.utp.edu.my/19636/
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spelling my.utp.eprints.196362018-04-20T07:20:02Z Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier Ali, M.K.M. Sulaiman, J. Yasir, S.M. Ruslan, M.H. Fudholi, A. Muthuvalu, M.S. Ramu, V. A solar drying experiment of seaweed, Kappaphycus alvarezii var. Tambalang using v-groove hybrid solar drier (v-GHSD) was conducted in Semporna, Sabah, under the meteorological condition of Malaysia. Drying of the seaweed in the v-GHSD led to a reduction in its moisture content from 85.32 to 38 in 5 days with mean solar radiation of 650 Wm-2 and mass flow rate of approximately 0.27 kg s-1. Generally, the plots of the drying rate required more smoothing compared to the moisture content data; special care was needed at low drying rates and moisture contents. Here, we show that the cubic spline (CS) can be effective for estimating the drying rate-time curves. The idea of this method consists of an approximation of data by a CS regression having first and second derivatives. The analytical differentiation of the spline regression permitted the determination of instantaneous rate. The method of minimizing the function of average risk was used successfully to solve the problem. This method allowed us to obtain the instantaneous rate directly from the experimental data. Mathematical models using the raw data tested with the smoothed CS were found to be reliable estimators of the moisture-time curves as well as for the missing moisture content data of the seaweed. Universiti Putra Malaysia 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017121987&partnerID=40&md5=47353d56ac80248042283c5c77213c2b Ali, M.K.M. and Sulaiman, J. and Yasir, S.M. and Ruslan, M.H. and Fudholi, A. and Muthuvalu, M.S. and Ramu, V. (2017) Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier. Malaysian Journal of Mathematical Sciences, 11 (S). pp. 159-172. http://eprints.utp.edu.my/19636/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description A solar drying experiment of seaweed, Kappaphycus alvarezii var. Tambalang using v-groove hybrid solar drier (v-GHSD) was conducted in Semporna, Sabah, under the meteorological condition of Malaysia. Drying of the seaweed in the v-GHSD led to a reduction in its moisture content from 85.32 to 38 in 5 days with mean solar radiation of 650 Wm-2 and mass flow rate of approximately 0.27 kg s-1. Generally, the plots of the drying rate required more smoothing compared to the moisture content data; special care was needed at low drying rates and moisture contents. Here, we show that the cubic spline (CS) can be effective for estimating the drying rate-time curves. The idea of this method consists of an approximation of data by a CS regression having first and second derivatives. The analytical differentiation of the spline regression permitted the determination of instantaneous rate. The method of minimizing the function of average risk was used successfully to solve the problem. This method allowed us to obtain the instantaneous rate directly from the experimental data. Mathematical models using the raw data tested with the smoothed CS were found to be reliable estimators of the moisture-time curves as well as for the missing moisture content data of the seaweed.
format Article
author Ali, M.K.M.
Sulaiman, J.
Yasir, S.M.
Ruslan, M.H.
Fudholi, A.
Muthuvalu, M.S.
Ramu, V.
spellingShingle Ali, M.K.M.
Sulaiman, J.
Yasir, S.M.
Ruslan, M.H.
Fudholi, A.
Muthuvalu, M.S.
Ramu, V.
Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
author_facet Ali, M.K.M.
Sulaiman, J.
Yasir, S.M.
Ruslan, M.H.
Fudholi, A.
Muthuvalu, M.S.
Ramu, V.
author_sort Ali, M.K.M.
title Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
title_short Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
title_full Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
title_fullStr Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
title_full_unstemmed Cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
title_sort cubic spline as a powerful tools for processing experimental drying rate data of seaweed using solar drier
publisher Universiti Putra Malaysia
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017121987&partnerID=40&md5=47353d56ac80248042283c5c77213c2b
http://eprints.utp.edu.my/19636/
_version_ 1738656098221555712
score 13.211869

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