Mathematical Analysis on Matlab Environment for Experimental Study of the Thermal Properties of Epoxy Reinforced Composite
Journal of Global Ecology and Environment,
Over the years, before the invention of software, some experiments especially direct base experiments had minimum limits to conduct compared to now, due to some possible issues surrounding the process, such as high cost, hazard, and time waste, even some experiments are impossible to run due to complex data involved, which then gave rise to the invention of software that aims in making some of these experiments flexible and safe. This research involved thermal experimentation, mathematical analyses in a MATLAB environment, and data comparison of the experiment and mathematical analysis results of an epoxy-reinforced composite. Five samples were developed (E, S1, S2, S3, and S4) using epoxy reinforced with coconut shell fiber, silicon carbide (SiC), and aluminum oxide (Al2O3) in different proportions and compositions, applying hand-layup and compression molding. Thermal conductivity, diffusivity, degradation, and specific heat capacity tests were conducted using suitable apparatus and ASTM standard methods. The results indicated the minimum thermal properties of polymer material seen in sample ‘E’, due to no reinforced composite. Polymer material in sample E was improved in sample S1, where coconut shell fiber as municipal solid waste was used as reinforcement, possessing satisfactory thermal strength. Natural synthetic fibers (Al2O3 and SiC) used in this research indicated maximum thermal strength seen from samples S2 - S4, due to ceramic properties and close bond microstructural formation of synthetic fibers. 2020 Commercial License Model (CLM) MATLAB software was used to develop mathematical analyses from the experimental data, which when compared, the mathematical analysis results indicated 95% confident bounds on the root mean square error (RMSE) result having the same graphical trend as the experimental result.
- Gaussian model
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Dipen KR, Durgesh DP, Predeep LM, Emanoil L. Fiber-reinforced polymer composites: manufacturing, properties and applications. In Polymers. 2019; 11(10):1667.
Dai D, Fan M. Wood fibers as reinforcements in natural fiber composites: structure, properties, processing and applications. Elsevier journals ISBN: 948-0-85709-524-4. 2014;375-389.
Karikalan L, Chandrasekran M, Ramasubramanian S, Baskar S. Hybridization of composites using natural and synthetic fibers for automotive applications. International Journal of Scientific Research in Science and Technology. 2017;20:17.
Fagassa C, Pavlovic A, Santilli C. Mechanical and impact characterization of flax and basalt fiber vinyl-ester composites and their hybrids. Composites Part B Engineering. 2018;137:247-259.
Ahmed S, Rafat M, Ahmed A. Nitrogen doped activated carbon derived from orange peel for supercapacitor application. Adv. Nat. Sci. Nanosci. Nanotechnol. 2018;9:35008.
Norbert T, Wojciech W. The efficiency of Drones usage for safety and rescue operations in an open area: A case study from Poland, MDPI Sustainability. 2021;14:327.
Krauklis AE, Gagani AI, Echtermeyer AT. Prediction of orthotropic hygroscopic of fiber-reinforced composites from isotropic swelling of matrix polymer. J. Sompos. Sci. 2019;3:10.
Paixao Jesse Augusto dos Santos. Damage quantification in laminated composites using Gaussian process regression model. In Repositorio Institucional UNESP; 2020.
Everson K, Bajinder KK, Edward DM, Myler P, Gerard E, Yong J, Yong CW. Fiber-reinforced epoxy composites exposed to high temperature environments. Part 11: modeling mechanical property degradation. Journal of Composite Material. 2010;45: 1511.
Korobeinichev O, Karpov A, Shaklein A, Paletsky A, Chermov A, Trubachev S, Glaznev R, Shmakov A, Barbotko S. Experimental and numerical study of downward flame spread over glass-fiber-reinforced epoxy resin. MDPI Polymers. 2022;14:911.
Lakshimi RP, Mohamed SU, Amruth TM. Design and analysis of composites of aluminum, coconut shell ash and SiC based clutch plate facing. International Journal of Scientific Research in Science and Technology. 2019;15(3):674.
Abdukareem S, Ogunmodede S, Aweda JO, Abdulrahim AT, Ajiboye TK, Ahmed II, Adebisi JA. Investigation of thermal insulation properties of biomass composites. In International Journal of Tech. 2016;6:989-999.
Mazan T, Jorgensen JK, Echtermeyer A. Aging of polyamide 11. Part 3: Multiscale model predicting the mechanical properties after hydrolytic degradation. J. Mech. Behave. Biomed. Mater. 2015;134:42792.
Sundar UM. Mathematical modelling using MATLAB. The MathWorks, Inc. 2012;31.
Aswan FS, Fakhar MA, Khan LA, Zhaheer U, Khan AF, Subhani T. Interfacial mechanical properties of carbon nanotube-deposited carbon fiber epoxy matrix hierarchical composites. Journal of Compos. Interfaces. 2018;25(8).
Poornesh M, Johnson XS, Jevy S, Gavin M, Pinto G. Effect of coconut shell ash and SiC particles on mechanical properties of aluminum based composites. American Journal of Materials Science. 2017; 7(4):112-115.
Ekpechi D, Osita O. Mechanical and physical properties of silicon carbide, aluminum oxide and epoxy hybrid composite: An overview. Global Scientific Journals; 2021.
Malla ST, Ramana MV, Sriramulu D, Rao CJ. Experimental investigation of mechanical and thermal properties of sisal fiber reinforced composite and effect of SiC filler material. Rapid Direct Publication. 2016;Nov. 24:2016.
Henderson JB, Wiebelt JA, Tant MR. A model for thermal response of polymer composite material with experimental verifications. J Compos. Mater. 1965;19:579-595.
Kandare E, Kandola BK, Myler P, Horrocks AR, Edwards G. Thermo-mechanical responses of fiber-reinforced epoxy composites exposed to high temperature environments: Experimental data acquisition. Journal of Composite Material, in Press; 2009.
Lasa A. Kerr, Daniel R. Goethel. Chapter twenty one-simulation modelling as a tool for synthesis of stock identification information. Application in Fishery Science. 2014;501-533.
Vipin Jain. Steady state error: what is it? (Steady-state gain, value and formula); 2020.
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