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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Main Authors: Rajanikanth Teegala, Phaneendra Seshabattar, Venkateswarlu Ganta, Seema, Ravindar Bhanothu, Mishra Akshansh, Gopikrishna N., Radhakrishna Laishetty
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
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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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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