Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite
In the current work, the morphological and mechanical features of a hybrid epoxy matrix composite created by hand layup and reinforced with fibers from rice husk, sisal, and kenaf are predicted by using Watershed segmentation algorithm. To forecast the effect of coating composition on physical perfo...
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01258.pdf |
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author | Rajanikanth Teegala Phaneendra Seshabattar Venkateswarlu Ganta Seema Ravindar Bhanothu Mishra Akshansh Gopikrishna N. Radhakrishna Laishetty |
author_facet | Rajanikanth Teegala Phaneendra Seshabattar Venkateswarlu Ganta Seema Ravindar Bhanothu Mishra Akshansh Gopikrishna N. Radhakrishna Laishetty |
author_sort | Rajanikanth Teegala |
collection | DOAJ |
description | In the current work, the morphological and mechanical features of a hybrid epoxy matrix composite created by hand layup and reinforced with fibers from rice husk, sisal, and kenaf are predicted by using Watershed segmentation algorithm. To forecast the effect of coating composition on physical performance of a composite, Tensile and hardness tests were used to define the resulting hybrid composites' mechanical characteristics. The objective of the empirical investigation presented in this work is to understand the mechanical behavior of hybrid natural fiber composites. The production of rose husk-sisal-kenaf-epoxy hybrid samples is done by hand layup, with the planned plies being alternately stacked and the weight of the matrix and fibers being kept between 40% and 60%. Samples are sliced from a laminate that has been manufactured in accordance with ASTM specifications in order to undertake various experiments. Dog bone and flat bar shapes were used to cut specimens for tensile test & flexural test. Tensile strength and flexural strength were measured following execution of experiment under UTM and contrasted with base values of used epoxy polymer to identify constant change in strength. |
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id | doaj.art-594c5d6ab2d64d52839846767f6e9f7d |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-11T18:04:05Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
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spelling | doaj.art-594c5d6ab2d64d52839846767f6e9f7d2023-10-17T08:47:10ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014300125810.1051/e3sconf/202343001258e3sconf_icmpc2023_01258Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid CompositeRajanikanth Teegala0Phaneendra Seshabattar1Venkateswarlu Ganta2Seema3Ravindar Bhanothu4Mishra Akshansh5Gopikrishna N.6Radhakrishna Laishetty7Department of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Sree Chaitanya College of EngineeringDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesResearch Scholar, Department of Mechanical Engineering, Politechnico De Milan UniversityDepartment of Mechanical Engineering, Sree Chaitanya College of EngineeringDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesIn the current work, the morphological and mechanical features of a hybrid epoxy matrix composite created by hand layup and reinforced with fibers from rice husk, sisal, and kenaf are predicted by using Watershed segmentation algorithm. To forecast the effect of coating composition on physical performance of a composite, Tensile and hardness tests were used to define the resulting hybrid composites' mechanical characteristics. The objective of the empirical investigation presented in this work is to understand the mechanical behavior of hybrid natural fiber composites. The production of rose husk-sisal-kenaf-epoxy hybrid samples is done by hand layup, with the planned plies being alternately stacked and the weight of the matrix and fibers being kept between 40% and 60%. Samples are sliced from a laminate that has been manufactured in accordance with ASTM specifications in order to undertake various experiments. Dog bone and flat bar shapes were used to cut specimens for tensile test & flexural test. Tensile strength and flexural strength were measured following execution of experiment under UTM and contrasted with base values of used epoxy polymer to identify constant change in strength.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01258.pdf |
spellingShingle | Rajanikanth Teegala Phaneendra Seshabattar Venkateswarlu Ganta Seema Ravindar Bhanothu Mishra Akshansh Gopikrishna N. Radhakrishna Laishetty Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite E3S Web of Conferences |
title | Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite |
title_full | Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite |
title_fullStr | Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite |
title_full_unstemmed | Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite |
title_short | Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite |
title_sort | image computation algorithm for determination of microstructural properties of rice husk sisal kenaf fiber reinforced hybrid composite |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01258.pdf |
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