An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties
In this paper, empirical models are proposed using multiple non linear regressions technique to predict the influence on the Youngs modulus and the tensile strength of the natural fiber reinforced plastic composites (NFRPC). Maleic Anhydride grafted polypropylene (MAPP) has been a proven coupling ag...
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ump-87892018-01-10T01:30:02Z http://umpir.ump.edu.my/id/eprint/8789/ An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties Beg, M. D. H. Gupta, Arun QA76 Computer software TA Engineering (General). Civil engineering (General) In this paper, empirical models are proposed using multiple non linear regressions technique to predict the influence on the Youngs modulus and the tensile strength of the natural fiber reinforced plastic composites (NFRPC). Maleic Anhydride grafted polypropylene (MAPP) has been a proven coupling agent (CA) used to improve the interfacial bonding between the fibers and the plastics material. It is important to include the factor of coupling agent, when making predictions the properties of the composites through the models. For the development of the model, data was collected from various research journals presented in literature. Non linear regression analysis was performed to obtain the empirical model using polymath scientific software. The results were found to be within the acceptable range. scientific.net 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8789/1/An%20Empirical%20Approach%20for%20Prediction%20of%20Natural%20Fiber%20Reinforced%20Polypropylene%20Composite%20Properties.pdf Beg, M. D. H. and Gupta, Arun (2014) An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties. Applied Mechanics and Materials, 534. pp. 69-73. ISSN 1662-7482 http://dx.doi.org/10.4028/www.scientific.net/AMM.534.69 doi: 10.4028/www.scientific.net/AMM.534.69 |
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QA76 Computer software TA Engineering (General). Civil engineering (General) Beg, M. D. H. Gupta, Arun An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
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In this paper, empirical models are proposed using multiple non linear regressions technique to predict the influence on the Youngs modulus and the tensile strength of the natural fiber reinforced plastic composites (NFRPC). Maleic Anhydride grafted polypropylene (MAPP) has been a proven coupling agent (CA) used to improve the interfacial bonding between the fibers and the plastics material. It is important to include the factor of coupling agent, when making predictions the properties of the composites through the models. For the development of the model, data was collected from various research journals presented in literature. Non linear regression analysis was performed to obtain the empirical model using polymath scientific software. The results were found to be within the acceptable range. |
format |
Article |
author |
Beg, M. D. H. Gupta, Arun |
author_facet |
Beg, M. D. H. Gupta, Arun |
author_sort |
Beg, M. D. H. |
title |
An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
title_short |
An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
title_full |
An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
title_fullStr |
An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
title_full_unstemmed |
An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties |
title_sort |
empirical approach for prediction of natural fiber reinforced polypropylene composite properties |
publisher |
scientific.net |
publishDate |
2014 |
url |
http://umpir.ump.edu.my/id/eprint/8789/ http://umpir.ump.edu.my/id/eprint/8789/ http://umpir.ump.edu.my/id/eprint/8789/ http://umpir.ump.edu.my/id/eprint/8789/1/An%20Empirical%20Approach%20for%20Prediction%20of%20Natural%20Fiber%20Reinforced%20Polypropylene%20Composite%20Properties.pdf |
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2023-09-18T22:06:45Z |
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2023-09-18T22:06:45Z |
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