Prediction of Mechanical Strength Attributes of Coir/Sisal Polyester Natural Composites by ANN

Document Type: Regular Article

Authors

1 Assistant Professor, Department of Civil Engineering, CPGS, VTU, Mysuru, India

2 Professor, Department of Civil Engineering, MITE (VTU), Moodabidri, India

3 Professor. Department of Aeronautical Engineering, IIT, Madras, India

Abstract

Coir and Sisal are agriculture wastes that are effectively and financially accessible in the distinctive piece of Karnataka and other various states of republic India. These are generally treated as bio-compostable material by the customary horticulture/agriculture professionals. Aftereffects of past research related to fabrication, testing, analysis and design of conventional (synthetic fiber reinforced) composite materials portray that, strength to weight proportion is the basic criteria for a tailored design of composite materials. Viable utilizations of low-density reinforcing materials as the constituent materials of composites demonstrate great strength to weight ratio. Hence, 2 mm, 3 mm, 4 mm, 5 mm and 6 mm thick composite panels made up of 10 mm long coir/sisal fiber fortified in a polyester matrix of coupons are utilized for the experimentation process. The present study exhibits that the feed-forward Artificial Neural Network (ANN) model developed to predict the mechanical properties of coir/sisal polyester composite could be the acceptable mathematical tool for the prediction of mechanical properties of treated and untreated, arbitrarily oriented coir/sisal fiber strengthened polyester composite instead of the complicated experimental procedure. It exhibits that where traditional technique feels hard to estimate mechanical properties of coir/sisal fiber fortified polyester composite materials, the ANN model supports to foresee it. ANN approach avoids remembrance of equations and generalizes the problem domain and reduces the human error.

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[1]     Bujang IZ, Awang MK, Ismail AE. Study on the dynamic characteristic of coconut fibre reinforced composites 2007:184–202.
[2]     Ali M. Coconut fibre: A versatile material and its applications in engineering. J Civ Eng Constr Technol 2011;2:189–97.
[3]     Zaman I, Awang MK. Influence of fiber volume fraction on the tensile properties and dynamic characteristics of coconut fiber reinforced composite. J Sci Technol 2009;1.
[4]     Sathiyamurthy S, Thaheer A, Jayabal S. Prediction and optimization of mechanical properties of particles filled coir-polyester composites using ANN and RSM algorithms 2013;38:81–6.
[5]     Rajamuneeswaran S, Jayabal S, Balaji N, Karthikeyan A. A Crab carapace particles filled coir reinforced polyester composites; Impact strength and Fractography study. Int J ChemTech Res 2014;6:1898–900.
[6]     Khan A, Joshi S. Mechanical and morphological study of coir fiber treated with different nitro compounds. Int J Adv Electron Comput Eng 2014;2:276–9.
[7]     Ganesh S, Sathiyamurthy S, Jayabal S, Chidambaram K. Impact behavior of termite mound particulated natural fiber-polymer composites. IOSR J. Mech. Civ. Eng. Proc. Natl. Conf. Contemp. Approaches Mech. Automob. Build. Sci., 2014, p. 35–8.
[8]     Anyakora AN. Investigation of mechanical properties of polyester matrix reinforced with coconut palm frond fiber for the production of low strength building products. Int J Multidiscip Sci Eng 2012;3:1–6.
[9]     Tran L, Fuentes C, Dupont-Gillain C, Van Vuure AW, Verpoest I. Investigating the interfacial compatibility and adhesion of coir fibre composites. 18th Int. Conf. Compos. Mater., 2011, p. 1–5.
[10]    bt Ahad NA, Parimin N, Mahmed N, Ibrahim SS, Nizzam K, Ho YM. Effect of chemical treatment on the surface of natural fiber. J Nucl Relat Technol 2009;6:155–8.
[11]    Gowda BK, Prasad GE, Velmurugan R. Prediction of tensile properties of untreated coir reinforced polyester matrix composites by ANN. Int J Mater Sci 2014;9:33–8.
[12]    Dayananda N, Keerthi Gowda BS. Prediction of properties of fly ash and cement mixed GBFS compressed bricks. Mater Today Proc 2017;4:7573–8. doi:10.1016/j.matpr.2017.07.089.
[13]    Prasad GLE, Gowda BSK, Velmurugan R. Prediction of Flexural Properties of Coir Polyester Composites by ANN, 2016, p. 173–80. doi:10.1007/978-3-319-21762-8_21.
[14]    Prasad GLE, Gowda BSK, Velmurugan R, Yashwanth MK. Prediction of Properties of CRPCSC Particulate Composite by ANN, 2014, p. 17–22. doi:10.1007/978-3-319-00873-8_3.
[15]    Gowda B, Prasad G, Velmurugan R. Probabilistic study of tensile properties of coir fiber reinforced polymer matrix composite. Int J Adv Mater Sci 2015;6:7–17.
[16]    El-Hajjar RF, Shams SS, Kehrl DJ. Closed form solutions for predicting the elastic behavior of quasi-isotropic triaxially braided composites. Compos Struct 2013;101:1–8. doi:10.1016/j.compstruct.2012.12.036.
[17]    Malik MH, Arif AFM. ANN prediction model for composite plates against low velocity impact loads using finite element analysis. Compos Struct 2013;101:290–300. doi:10.1016/j.compstruct.2013.02.020.
[18]    Altabey WA. Detecting and predicting the crude oil type inside composite pipes using ECS and ANN. Struct Monit Maint 2016;3:377–93.
[19]    Gomes GF, Diniz CA, da Cunha SS, Ancelotti AC. Design Optimization of Composite Prosthetic Tubes Using GA-ANN Algorithm Considering Tsai-Wu Failure Criteria. J Fail Anal Prev 2017;17:740–9. doi:10.1007/s11668-017-0304-5.
[20]    Kavimani V, Prakash KS. Tribological behaviour predictions of r-GO reinforced Mg composite using ANN coupled Taguchi approach. J Phys Chem Solids 2017;110:409–19. doi:10.1016/j.jpcs.2017.06.028.
[21]    Sreekumar PA, Saiah R, Saiter JM, Leblanc N, Joseph K, Unnikrishnan G, et al. Dynamic mechanical properties of sisal fiber reinforced polyester composites fabricated by resin transfer molding. Polym Compos 2009;30:768–75. doi:10.1002/pc.20611.
[22]    Ma H, Li Y, Luo Y. The effect of fiber twist on the mechanical properties of natural fiber reinforced composites. 18th Int. Conf. Compos. Mater., vol. 116, 2011.
[23]    Sen T, Reddy HNJ. Application of sisal, bamboo, coir and jute natural composites in structural upgradation. Int J Innov Manag Technol 2011;2:186.
[24]    ASTM D. ASTM D3039 / D3039M-00(2006), Standard Test Method for Tensile Properties of Polymer Matrix Composite Materials, ASTM International, West Conshohocken, PA, 2006, www.astm.org 2008.
[25]    ASTM D7264 / D7264M-07, Standard Test Method for Flexural Properties of Polymer Matrix Composite Materials, ASTM International, West Conshohocken, PA, 2007, www.astm.org n.d.
[26]    ASTM D256-10e1, Standard Test Methods for Determining the Izod Pendulum Impact Resistance of Plastics, ASTM International, West Conshohocken, PA, 2010, www.astm.org n.d.
[27]    Javidrad F, Nazari M, Javidrad HR. An Innovative Optimized Design for Laminated Composites in terms of a Proposed Bi-Objective Technique. J Soft Comput Civ Eng 2020;4:1–28.