Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling
The present article attempts to study absorption properties of bio-composites reinforced with date palm fibers. The effect of fiber loading on water absorption at room temperature 25°C was investigated. The weight gain was measured of bio-composites immersed in distilled water, seawater and rainwate...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Journal of Natural Fibers |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15440478.2022.2136323 |
| _version_ | 1797674731119312896 |
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| author | Riyadh Benyettou Salah Amroune Slamani Mohamed Yasemin Seki Alain Dufresne |
| author_facet | Riyadh Benyettou Salah Amroune Slamani Mohamed Yasemin Seki Alain Dufresne |
| author_sort | Riyadh Benyettou |
| collection | DOAJ |
| description | The present article attempts to study absorption properties of bio-composites reinforced with date palm fibers. The effect of fiber loading on water absorption at room temperature 25°C was investigated. The weight gain was measured of bio-composites immersed in distilled water, seawater and rainwater, for more than 670 hours, until reaching the saturation with a measurement interval between 24 and 48 hours. To understand absorption phenomenon, scanning electron microscopy was used. Porosity rate was determined using image J software. It was noted the water absorption rate of the bio composites reached 16.20%, 16.33%, 21.94%, 41.99% for seawater, 16.41%, 16.52%, 20.84%, 30.08% for distilled water, and 14.00%, 14.04%, 19.30%, 36.94% for rainwater, respectively. The absorption increases when increasing fiber content. The diffusion coefficient of bio-composites has minimum and maximum values of about 1.94 × 10−6mm2/s and 3.99 × 10−6mm2/s, respectively. Palm fibers are highly porous. The porosity value was higher than 51%. To predict the absorption rate, artificial neural network method was used. The ANN models obtained are very well correlated with the experimental data where the values of the correlation coefficient of the datasets are all beyond 0.99 and the average error value was estimated at 3 × 10−5. |
| first_indexed | 2024-03-11T22:04:22Z |
| format | Article |
| id | doaj.art-f3755b431a3449e39f105397b2e24183 |
| institution | Directory Open Access Journal |
| issn | 1544-0478 1544-046X |
| language | English |
| last_indexed | 2024-03-11T22:04:22Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj.art-f3755b431a3449e39f105397b2e241832023-09-25T10:28:57ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2022-12-011917159021591810.1080/15440478.2022.21363232136323Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) ModelingRiyadh Benyettou0Salah Amroune1Slamani Mohamed2Yasemin Seki3Alain Dufresne4University of M’silaUniversity of M’silaUniversity of M’silaDokuz Eylul UniversityUniv. Grenoble AlpesThe present article attempts to study absorption properties of bio-composites reinforced with date palm fibers. The effect of fiber loading on water absorption at room temperature 25°C was investigated. The weight gain was measured of bio-composites immersed in distilled water, seawater and rainwater, for more than 670 hours, until reaching the saturation with a measurement interval between 24 and 48 hours. To understand absorption phenomenon, scanning electron microscopy was used. Porosity rate was determined using image J software. It was noted the water absorption rate of the bio composites reached 16.20%, 16.33%, 21.94%, 41.99% for seawater, 16.41%, 16.52%, 20.84%, 30.08% for distilled water, and 14.00%, 14.04%, 19.30%, 36.94% for rainwater, respectively. The absorption increases when increasing fiber content. The diffusion coefficient of bio-composites has minimum and maximum values of about 1.94 × 10−6mm2/s and 3.99 × 10−6mm2/s, respectively. Palm fibers are highly porous. The porosity value was higher than 51%. To predict the absorption rate, artificial neural network method was used. The ANN models obtained are very well correlated with the experimental data where the values of the correlation coefficient of the datasets are all beyond 0.99 and the average error value was estimated at 3 × 10−5.http://dx.doi.org/10.1080/15440478.2022.2136323bio compositewater absorptiondiffusionann; date palm fiber生物复合材料 |
| spellingShingle | Riyadh Benyettou Salah Amroune Slamani Mohamed Yasemin Seki Alain Dufresne Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling Journal of Natural Fibers bio composite water absorption diffusion ann; date palm fiber 生物复合材料 |
| title | Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling |
| title_full | Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling |
| title_fullStr | Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling |
| title_full_unstemmed | Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling |
| title_short | Experimental Investigation of the Absorption Behavior of Date Palm Fiber Reinforced Iso-Polyester Composites: Artificial Neuron Network (ANN) Modeling |
| title_sort | experimental investigation of the absorption behavior of date palm fiber reinforced iso polyester composites artificial neuron network ann modeling |
| topic | bio composite water absorption diffusion ann; date palm fiber 生物复合材料 |
| url | http://dx.doi.org/10.1080/15440478.2022.2136323 |
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