Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling
In this paper, six novel mathematical models based on semi-empirical calculus are proposed and applied to characterise the oven-drying process of cement mortar composites reinforced with cellulosic fibres (CMCRCFs). The drying experiments were carried out on four levels of oven-drying temperatures (...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Society of Chemical Engineers
2022-11-01
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| Series: | Kemija u Industriji |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/kui/assets/Uploads/1-675-684-KUI-11-12-2022.pdf |
| _version_ | 1797983636518076416 |
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| author | Amina Lachenani Mohamed Bentchikou Mouloud Boumahdi Salah Hanini Maamar Laidi |
| author_facet | Amina Lachenani Mohamed Bentchikou Mouloud Boumahdi Salah Hanini Maamar Laidi |
| author_sort | Amina Lachenani |
| collection | DOAJ |
| description | In this paper, six novel mathematical models based on semi-empirical calculus are proposed and applied to characterise the oven-drying process of cement mortar composites reinforced with cellulosic fibres (CMCRCFs). The drying experiments were carried out on four levels of oven-drying temperatures (70, 85, 105, and 120 °C), with four different cellulosic fibres content (0, 5, 10, and 20 %). Obtained results were compared to those derived by regression analysis of six most typically used mathematical drying models (Newton, Page, Page modified1, Page modified2, Handerson Pabis, and Logarithmic) in addition to six proposed models. The regression accuracy of the drying process was evaluated by the coefficient of determination (R2), low mean square error (MSE), low root mean squared error (RMSE), and mean absolute error (MAE). Additional criteria were used to ensure more validity of the selected models. The obtained values indicate a highly accurate fit of the proposed model MR9, meaning that the proposed model can clearly interpret the experimental drying data and predict the dry state of CMCRCFs. |
| first_indexed | 2024-04-11T06:49:23Z |
| format | Article |
| id | doaj.art-9497fe53ba33463db0fe01ecd52befaa |
| institution | Directory Open Access Journal |
| issn | 0022-9830 1334-9090 |
| language | English |
| last_indexed | 2024-04-11T06:49:23Z |
| publishDate | 2022-11-01 |
| publisher | Croatian Society of Chemical Engineers |
| record_format | Article |
| series | Kemija u Industriji |
| spelling | doaj.art-9497fe53ba33463db0fe01ecd52befaa2022-12-22T04:39:15ZengCroatian Society of Chemical EngineersKemija u Industriji0022-98301334-90902022-11-017111-1267568410.15255/KUI.2022.010Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical ModellingAmina Lachenani0Mohamed Bentchikou1Mouloud Boumahdi2Salah Hanini3Maamar Laidi4Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, AlgeriaLaboratory of Mechanics, Physics and Mathematical Modelling (LMP2M), University of Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, AlgeriaIn this paper, six novel mathematical models based on semi-empirical calculus are proposed and applied to characterise the oven-drying process of cement mortar composites reinforced with cellulosic fibres (CMCRCFs). The drying experiments were carried out on four levels of oven-drying temperatures (70, 85, 105, and 120 °C), with four different cellulosic fibres content (0, 5, 10, and 20 %). Obtained results were compared to those derived by regression analysis of six most typically used mathematical drying models (Newton, Page, Page modified1, Page modified2, Handerson Pabis, and Logarithmic) in addition to six proposed models. The regression accuracy of the drying process was evaluated by the coefficient of determination (R2), low mean square error (MSE), low root mean squared error (RMSE), and mean absolute error (MAE). Additional criteria were used to ensure more validity of the selected models. The obtained values indicate a highly accurate fit of the proposed model MR9, meaning that the proposed model can clearly interpret the experimental drying data and predict the dry state of CMCRCFs.http://silverstripe.fkit.hr/kui/assets/Uploads/1-675-684-KUI-11-12-2022.pdfcement mortar compositescellulosic fibresoven dryingmodellingregression analysis |
| spellingShingle | Amina Lachenani Mohamed Bentchikou Mouloud Boumahdi Salah Hanini Maamar Laidi Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling Kemija u Industriji cement mortar composites cellulosic fibres oven drying modelling regression analysis |
| title | Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling |
| title_full | Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling |
| title_fullStr | Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling |
| title_full_unstemmed | Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling |
| title_short | Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling |
| title_sort | drying process of cement mortar composites reinforced with cellulosic fibres experiment and mathematical modelling |
| topic | cement mortar composites cellulosic fibres oven drying modelling regression analysis |
| url | http://silverstripe.fkit.hr/kui/assets/Uploads/1-675-684-KUI-11-12-2022.pdf |
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