Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods
Manufacturing composites using natural fibers support the development of more ecologically friendly applications in many industrial areas, including sports equipment, wind turbine blades, construction materials, packaging, medical devices, and prosthetics. To investigate the tests’ number (N) impact...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Journal of Natural Fibers |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/15440478.2024.2394142 |
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| author | Soumia Teyar Hassina Gheribi Messaouda Boumaaza Ahmed Belaadi Boon Xian Chai Mahmood M.S. Abdullah Ibrahim M.H. Alshaikh Amar Al-Khawlani Djamel Ghernaout |
| author_facet | Soumia Teyar Hassina Gheribi Messaouda Boumaaza Ahmed Belaadi Boon Xian Chai Mahmood M.S. Abdullah Ibrahim M.H. Alshaikh Amar Al-Khawlani Djamel Ghernaout |
| author_sort | Soumia Teyar |
| collection | DOAJ |
| description | Manufacturing composites using natural fibers support the development of more ecologically friendly applications in many industrial areas, including sports equipment, wind turbine blades, construction materials, packaging, medical devices, and prosthetics. To investigate the tests’ number (N) impact on the fibers’ tensile behavior, newly developed fibers from the Strelitzia juncea (SJ) plant are being studied for their mechanical properties using various statistical laws. This study aims to assess the SJ fibers’ performance with a gauge length of 50 mm under quasi-static stress conditions. 150 SJ fibers were tensile tested in five groups (30, 60, 90, 120, and 150) to determine the N impact on the fibers’ tensile strength, break deformation, and Young’s modulus. Weibull and log-normal distributions were used to study statistically the mechanical properties results, and their dispersion was investigated and quantified using least squares and maximum likelihood prediction model with a confidence level of 95%. |
| format | Article |
| id | doaj-art-7120bc3e96df402b9e268c480c6aa2ce |
| institution | OA Journals |
| issn | 1544-0478 1544-046X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj-art-7120bc3e96df402b9e268c480c6aa2ce2025-08-20T02:34:27ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2024-12-0121110.1080/15440478.2024.2394142Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical MethodsSoumia Teyar0Hassina Gheribi1Messaouda Boumaaza2Ahmed Belaadi3Boon Xian Chai4Mahmood M.S. Abdullah5Ibrahim M.H. Alshaikh6Amar Al-Khawlani7Djamel Ghernaout8Département de Génie Mécanique, Faculté de Technologie, Université 20 Août 1955 Skikda, Skikda, AlgeriaDépartement de Génie Mécanique, Faculté de Technologie, Université 20 Août 1955 Skikda, Skikda, AlgeriaLGCH Laboratory, University 8 Mai 1945, Guelma, AlgeriaDépartement de Génie Mécanique, Faculté de Technologie, Université 20 Août 1955 Skikda, Skikda, AlgeriaSchool of Engineering, Swinburne University of Technology, Victoria, AustraliaDepartment of Chemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi ArabiaDepartment of Civil Engineering, Faculty of Engineering, University of Science and Technology, Sana’a, YemenJiangsu Optoelectronic Functional Materials and Engineering Research Centre, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, ChinaChemical Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi ArabiaManufacturing composites using natural fibers support the development of more ecologically friendly applications in many industrial areas, including sports equipment, wind turbine blades, construction materials, packaging, medical devices, and prosthetics. To investigate the tests’ number (N) impact on the fibers’ tensile behavior, newly developed fibers from the Strelitzia juncea (SJ) plant are being studied for their mechanical properties using various statistical laws. This study aims to assess the SJ fibers’ performance with a gauge length of 50 mm under quasi-static stress conditions. 150 SJ fibers were tensile tested in five groups (30, 60, 90, 120, and 150) to determine the N impact on the fibers’ tensile strength, break deformation, and Young’s modulus. Weibull and log-normal distributions were used to study statistically the mechanical properties results, and their dispersion was investigated and quantified using least squares and maximum likelihood prediction model with a confidence level of 95%.https://www.tandfonline.com/doi/10.1080/15440478.2024.2394142Strelitzia juncea fibers (SJFs)SEMtensile testingmechanical behaviordata analysisWeibull distributions |
| spellingShingle | Soumia Teyar Hassina Gheribi Messaouda Boumaaza Ahmed Belaadi Boon Xian Chai Mahmood M.S. Abdullah Ibrahim M.H. Alshaikh Amar Al-Khawlani Djamel Ghernaout Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods Journal of Natural Fibers Strelitzia juncea fibers (SJFs) SEM tensile testing mechanical behavior data analysis Weibull distributions |
| title | Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods |
| title_full | Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods |
| title_fullStr | Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods |
| title_full_unstemmed | Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods |
| title_short | Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods |
| title_sort | analyzing the strelitzia juncea cellulosic fibers mechanical properties experimental data using various statistical methods |
| topic | Strelitzia juncea fibers (SJFs) SEM tensile testing mechanical behavior data analysis Weibull distributions |
| url | https://www.tandfonline.com/doi/10.1080/15440478.2024.2394142 |
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