Journal Articles (All Issues)

DEVELOPMENT AND MECHANICAL BEHAVIOUR OF COIR ROPE, COIR FIBER AND SUNNHEMP FIBER REINFORCED EPOXY COMPOSITE

Authors

Manoj Sharma, Dr. Rajeev Sharma, Dr. Shashi Chandra Sharma

Keyword Natural fiber, Coir fiber, Epoxy, Sunnhemp fiber

Abstract

Researchers are always on the lookout for new materials to replace traditional ones. Natural fiber-based polymer composites are cost-effective and environmentally beneficial alternatives to traditional materials in a variety of basic technical and everyday applications. The creation and mechanical study of natural fibre based polymer composite materials has been attempted. Sunnhemp fibre and coir fibre are employed as reinforcement materials in this paper coir rope, and epoxy resin is used as a matrix. The study is done in three scenarios, taking into account the effect of fibre orientation, fibre volume in matrix, and fibre size in matrix. The coir rope was reinforced in the matrix in the first set of work to account for fibre orientations such as 0°, 45°, and 90°. The mechanical parameters of the material were calculated, including tensile strength and flexural modulus. In the second phase, coir and sunnhemp fibres are gathered from the local area, dried, and chopped for use in the matrix, with the volume fraction of fibre altering. The mechanical characteristics of the fibres and the pure matrix material were compared. The tensile behaviour of coir and sunnhemp reinforced epoxy was calculated at various fibre sizes in the third set of work. The characteristics of fibres vary depending on their orientation and the volume proportion of fibre in the matrix. Reinforcement of coir and senhemp fibres in pure epoxy improves the characteristics. For a fixed proportion of volume percentage, the fibre size variation in the composite does not propose exact patterns for mechanical behaviours.

References

    1. Easwara Prasad G L, Keerthi Gowda B S and Velmurugan R, “A study on impact strength characteristics of coir polyester composites”, Procedia Engineering, 173, 771-777, 2017, https://doi.org/10.1016/j.proeng.2016.12.091. 2. M. Sakthivei and S. Ramesh "Mechanical properties of natural fiber (Banana, coir, sisal) polymer composites" Science Park, ISSN No: 2321-8045, Vol-1, issue-1, July-2013. 3. K.L. Pickering, M. G. Aruan Efendy and T. M. Le "A review of recent development in natural fiber composites and their mechanical performance" Composite: Part A, 83, 98-112, 2016, https://doi.org/10.1016/j.compositesa.2015.08.038. 4. Zhihui Sun, Li Zhang, Duoping Liang, Wei Xiao and Jing Lin "Mechanical and Thermal Properties of PLA Biocomposites Reinforced by Coir Fibers", International Journal of Polymer Science, Hindawi, Article ID 2178329, 8 pages, 2017, DOI:10.1155/2017/2178329. 5. J. O. Agunsoye, A. K. Odumosu and O. Dada "Novel epoxy-carbonized coconut shell nanoparticles composites for car bumper application", The International Journal of Advanced Manufacturing Technology, 102, 893–899, 2019, DOI:10.1007/s00170-018-3206-0. 6. Fernanda Santos da Luz, Sergio Neves Monteiro, Eduardo Sousa Lima, and Edio Pereira Lima Junior "Ballistic Application of Coir Fiber Reinforced Epoxy Composite in Multilayered Armor", Materials Research, 20(Suppl. 2), 23-28, 2017, https://doi.org/10.1590/1980-5373-MR-2016-0951 . 7. Fairuz I. Romli, Ahmad Nizam Alias, Azmin Shakrine Mohd Rafie and Dayang Laila Abang Abdul Mazid, "Factorial Study on the Tensile Strength of a Coir Fiber-Reinforced Epoxy Composite" American Applied Science Research Institute, Procedia 3, 242 – 247, 2012, DOI:10.1016/j.aasri.2012.11.040. 8. Umesh K. Dwivedi, Ajoy Ghosh, and Navin Chand, " Abrasive wear behaviour of bamboo (Dendrocalamus Strictus ) powder filled polyester composites", Bio resources 2 (4), 693-698, 2007, DOI:10.15376/biores.2.4.693-698. 9. U. K. Dwivedi and Navin Chand, "Influence of Fiber Orientation on Friction and Sliding Wear Behaviour of Jute Fiber Reinforced Polyester Composite", Appl Compos Mater, 16, 93–100, 2009, DOI:10.1007/s10443-008-9079-x. 10. Sandhyarani Biswas, Sanjay Kindo and Amar Patnaik, "Effect of fiber length on mechanical behaviour of coir fiber reinforced epoxy composites", Fibers and polymers, vol. 12, No.1, 73-78, 2011. 11. Andressa Cecilia Milanses, Maria Odila Hilario Cioffi and Herman Jacobus Cornelis Voorwald, " Mechanical behavior of natural fiber composites", Procedia Engineering, 10, 2022-2027, 2011, https://doi.org/10.1016/j.proeng.2011.04.335. 12. Ankush Gupta, "Human Hair ''Waste'' and Its Utilization: Gaps and Possibilities", Journal of Waste Management, Hindawi Publishing Corporation, Article ID 498018, 17 pages, Volume 2014, https://doi.org/10.1155/2014/498018. 13. N.S.M. El-Tayeb, “A study on the potential of sugarcane fibers/polyester composite for tribological applications”, Wear 265, 223–235, 2008, https://doi.org/10.1016/j.wear.2007.10.006. 14. Hamdy M. Naguib, Usama F. Kandil, Ahmed I. Hashem and Yasser M. Boghdadi, “Effect of fiber loading on the mechanical and physical properties of “green” bagasse–polyester composite, “Journal of Radiation Research and Applied Sciences, 8,544-548, 2015, https://doi.org/10.1016/j.jrras.2015.06.004. 15. K. M. Faridul Hasan, Peter Gyorgy Horvath, Miklos Bak and Tibor Alpar, “A state –of-the-art review on coir fiber –reinforced biocomposites” , Royal society of chemistry Adv, 11, 10548-10571, 2021, DOI:10.1039/d1ra00231g. 16. Muhammad Yasir Khalid, Ans Al Rashid, Zia Ullah Arif, Waqas Ahmed, Hassan Arshad and Asad Ali Zaidi, “Natural fiber reinforced composites: Sustainable materials for emerging applications” , Results in Engineering, 11, 100263, 2021, https://doi.org/10.1016/j.rineng.2021.100263. 17. Tuan Anh Nguyen and Thi Huong Nguyen, “Banana fiber-reinforced epoxy composites: Mechanical properties and fire retardancy”, International Journal Of Chemical Engineering, Hindawi, Article ID 1973644, 9 pages, volume 2021, https://doi.org/10.1155/2021/1973644. 18. K.G.Saravanan, R. Prabu, A. Sivapragasam and Nahom Daniel, “Comparative analysis of natural fibre reinforced composite material using ANSYS”, Advances in Materials Science and Engineering , Article ID 9391237, 17 pages, volume 2021, https://doi.org/10.1155/2021/9391237. 19. Yadvinder Singh, Jujhar Singh, Shubham Sharma, Thanh-Danh Lam and Duc-Nam Nguyen, “Fabrication and characterization of coir/carbon-fiber reinforced epoxy based hybrid composite for helmet shells and sports-good applications: influence of fiber surface modifications on the mechanical, thermal and morphological properties”, Journal of materials research and technology, Elsevier, 9 (6), 15593-15603, 2020, https://doi.org/10.1016/j.jmrt.2020.11.023. 20. Yashas Gowda Thyavihalli Girijappa, Sanjay Mavinkere Rangappa, Jyotishkumar Parameswaranpillai and Suchart Siengchin, “Natural fibers as sustainable and renewable resource for development of Eco-friendly composites : A comprehensive review”, Frontiers in materials , September 2019, volume 6, article 226, https://doi.org/10.3389/fmats.2019.00226. 21. S.Sendhil Kumar and Dr.V. Anbumalar, “Selection and Evaluation of Natural Fibers –A Literature Review”, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 11, November 2015, ISSN 2348 – 7968. 22. Shashank Mishra, Chitresh Nayak, Manoj K. Sharma and Umesh K. Dwivedi, “Influence of Coir Fiber Geometry on Mechanical Properties of SiC Filled Epoxy Composites”, Silicon, https://doi.org/10.1007/s12633-020-00425-1. 23. K. Ganesan , C. Kailasanathan , N. Rajini , Sikiru O. Ismail, Nadir Ayrilmis , Faruq Mohammad , Hamad A. Al-Lohedan , Ahmed M. Tawfeek , Zuheir A. Issa and Daifallah M. Aldhayan, “Assessment on hybrid jute/coir fibers reinforced polyester composite with hybrid fillers under different environmental conditions”, Constructions and building materials, 301 (2021), 124117, https://doi.org/10.1016/j.conbuildmat.2021.124117. 24. Omar Faruk, Andrzej K. Bledzki, Hans-Peter Fink and Mohini Sain, “Biocomposites reinforced with natural fibers: 2000–2010”, Progress in Polymer Science 37 (2012) 1552– 1596, https://doi.org/10.1016/j.progpolymsci.2012.04.003. 25. David B. Dittenber and Hota V.S. GangaRao, “Critical review of recent publications on use of natural composites in infrastructure”, Composites: Part A 43 (2012) 1419–1429, https://doi.org/10.1016/j.compositesa.2011.11.019. 26. Menaga, D., & Revathi, S. (2018). Least lion optimisation algorithm (LLOA) based secret key generation for privacy preserving association rule hiding. IET Information Security, 12(4), 332-340. 27. Menaga, D., & Saravanan, S. (2022). GA-PPARM: constraint-based objective function and genetic algorithm for privacy preserved association rule mining. Evolutionary Intelligence, 15(2), 1487-1498. 28. Menaga, D., & Revathi, S. (2020). Deep learning: a recent computing platform for multimedia information retrieval. In Deep learning techniques and optimization strategies in big data analytics (pp. 124-141). IGI Global. 29. Probabilistic principal component analysis (PPCA) based dimensionality reduction and deep learning for cancer classification D Menaga, S Revathi Intelligent Computing and Applications: Proceedings of ICICA 2019, 353-368 30. Menaga, D., & Revathi, S. (2021). Fractional-atom search algorithm-based deep recurrent neural network for cancer classification. Journal of Ambient Intelligence and Humanized Computing, 1-11. 31. Menaga, D., & Revathi, D. S. (2018). Privacy preserving using bio inspired algorithms for data sanitization. In International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC) (pp. 201-206). 32. Menaga, D., & Saravanan, S. (2021). Application of artificial intelligence in the perspective of data mining. In Artificial Intelligence in Data Mining (pp. 133-154). Academic Press. 33. Menaga, D., & Revathi, S. (2020). An empirical study of cancer classification techniques based on the neural networks. Biomedical Engineering: Applications, Basis and Communications, 32(02), 2050013. 34. Menaga, D., & Begum, I. H. (2020). Bio-inspired algorithms for preserving the privacy of data. Journal of Computational and Theoretical Nanoscience, 17(11), 4971-4979. 35. Menaga, D., Ambati, L. S., & Bojja, G. R. (2023). Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach. International Journal of Intelligent Robotics and Applications, 7(1), 119-133. 36. Naeem, A. B., Senapati, B., Islam Sudman, M. S., Bashir, K., & Ahmed, A. E. (2023). Intelligent road management system for autonomous, non-autonomous, and VIP vehicles. World Electric Vehicle Journal, 14(9), 238. 37. Naeem, A. B., Senapati, B., Mahadin, G. A., Ghulaxe, V., Almeida, F., Sudman, S. I., & Ghafoor, M. I. (2024). Determine the Prevalence of Hepatitis B and C During Pregnancy by Using Machine Learning Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 744-751. 38. Yadav, S., Sudman, M. S. I., Dubey, P. K., Srinivas, R. V., Srisainath, R., & Devi, V. C. (2023, October). Development of an GA-RBF based Model for Penetration of Electric Vehicles and its Projections. In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 1-6). IEEE. 39. Thingom, C., Tammina, M. R., Joshi, A., Agal, S., Sudman, M. S. I., & Byeon, H. (2023, August). Revolutionizing Data Capitalization: Harnessing Blockchain for IoT-Enabled Smart Contracts. In 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon) (pp. 490-496). IEEE. 40. Sakthivel, M., Sudman, M. S. I., Ravishankar, K., Avinash, B., Kumar, A., & Ponnusamy, M. (2023, October). Medical Image Analysis of Multiple Myeloma Diagnosis Using CNN and KNN Based Approach. In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 92-97). IEEE. 41. Choudhuri, S. S., Bowers, W., & Siddiqui, M. N. (2023). U.S. Patent No. 11,763,241. Washington, DC: U.S. Patent and Trademark Office. 42. Zanzaney, A. U., Hegde, R., Jain, L., Choudhuri, S. S., & Sharma, C. K. (2023, September). Crop Disease Detection Using Deep Neural Networks. In 2023 International Conference on Network, Multimedia and Information Technology (NMITCON) (pp. 1-5). IEEE. 43. Faisal, L., Rama, V. S. B., Roy, S., & Nath, S. (2022). Modelling of electric vehicle using modified sepic converter configuration to enhance dc–dc converter performance using matlab. In Smart Energy and Advancement in Power Technologies: Select Proceedings of ICSEAPT 2021, Volume 2 (pp. 643-653). Singapore: Springer Nature Singapore. 44. Faisal, L., Rama, V. S. B., Yang, J. M., Wajid, A., & Ghorui, S. K. (2022, May). Performance and simulation analysis of ipmsyncrm (internal permanent magnet synchronous reluctance motor) for advanced electric vehicle design. In 2022 3rd International Conference for Emerging Technology (INCET) (pp. 1-6). IEEE. 45. Mohd, R., & Faisal, L. (2022). Smart Agricultural Practices using Machine Learning techniques For Rainfall Prediction: A case Study of Valkenburg station, Netherlands. Mathematical Statistician and Engineering Applications, 71(4), 8451-8462. 46. Wani, A. A., & Faisal, L. (2022). Design & development of novel hybrid set of rules for detection and type of malignant or non-malignant tumor in human brain based on svm using artificial intelligence classifier. Mathematical Statistician and Engineering Applications, 71(4), 10253-10276. 47. Mohammed, A. H. (2021). Fish schooling and sorensen trust based wireless sensor network optimization. International Journal, 9, 6. 48. Mohammed, A. H. DDoS Malicious Node Detection by Jaccard and Page Rank Algorithm in Cloud Environment. 49. Mohammed, A. H. (2021). Invasive Weed Optimization Based Ransom-Ware Detection in Cloud Environment.

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Published

2024-03-15

Issue

Vol. 43 No. 01 (2024)