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Research Article

Water Uptake of HDPE Reinforced with Washingtonia Fibre Biocomposites: Mathematical Modelling using Artificial Neural Network, Response Surface Methodology and Genetic Algorithm

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Accepted 29 Mar 2023, Published online: 05 Apr 2023

References

  • Boumaaza M, Belaadi A, Bourchak M. Systematic review on reinforcing mortars with natural fibers: challenges of environment-friendly option. J Nat Fibers. 2022;19(16):1–25.
  • Belaadi A, Boumaaza M, Alshahrani H, et al. Mechanical properties of natural cellulosic yucca treculeana L. Fiber for biocomposites applications: statistical analysis. J Nat Fibers. 2022;19(17):15501–15518.
  • Begum S, Fawzia S, Hashmi MSJ. Polymer matrix composite with natural and synthetic fibres. Adv Mater Proc Technol. 2020;6(3):547–564.
  • Scaffaro R, Gulino EF, Citarrella MC, et al. Green composites based on hedysarum coronarium with outstanding FDM printability and mechanical performance. Polymers. 2022;14(6):1198.
  • Scaffaro R, Citarrella MC, Gulino EF, et al. Hedysarum coronarium-based green composites prepared by compression molding and fused deposition modeling. Materials. 2022;15(2):465.
  • Scaffaro R, Citarrella MC, Gulino EF. Opuntia ficus Indica based green composites for NPK fertilizer controlled release produced by compression molding and fused deposition modeling, Composites Part a. Compos Part A Appl Sci Manuf. 2022;159:107030.
  • Adda B, Belaadi A, Boumaaza M, et al. Experimental investigation and optimization of delamination factors in the drilling of jute fiber–reinforced polymer biocomposites with multiple estimators. Int J Adv Manuf Technol. 2021;116(9–10):2885–2907.
  • Pundhir N, Pathak H, Zafar S. Crashworthiness performance of HDPE-kenaf and HDPE-CNT composite structures. Adv Mater Process Technol. 2022;8(sup3):1070–1088.
  • Chetia P, Samanta S. Dry sliding wear behaviour of bamboo/basalt hybrid composite. Adv Mater Process Technol. 2022;8(2):1481–1492.
  • Lakho MA, Bhatti MT, Rajpar AH, et al. Comparative tensile behaviour study of locally developed jute reinforced composite materials with conventional composite materials. Adv Mater Process Technol. 2018;4(3):370–377.
  • Salleh Z, Taib YM, Hyie KM, et al. Fracture toughness investigation on long kenaf/woven glass hybrid composite due to water absorption effect. Procedia Eng. 2012;41:1667–1673.
  • Alamri H, Low IM. Effect of water absorption on the mechanical properties of nanoclay filled recycled cellulose fibre reinforced epoxy hybrid nanocomposites, composites part a. Compos Part A Appl Sci Manuf. 2013;44:23–31.
  • Dittenber DB, GangaRao HVS. Critical review of recent publications on use of natural composites in infrastructure, Composites Part a. Appl Sci Manuf. 2012;43(8):1419–1429.
  • Aggarwal PK, Raghu N, Karmarkar A, et al. Jute-polypropylene composites using m-TMI-grafted-polypropylene as a coupling agent. Mater Design. 2013;43:112–117.
  • Alam MK, Khan MA, Lehmann EH. Comparative study of water absorption behavior in biopol® and jute-reinforced biopol® composite using neutron radiography technique. J Reinf Plast Compos. 2006;25(11):1179–1187.
  • Célino A, Fréour S, Jacquemin F, et al. Characterization and modeling of the moisture diffusion behavior of natural fibers. J Appl Polym Sci. 2013;130(1):297–306.
  • Saidane EH, Scida D, Assarar M, et al. Assessment of 3D moisture diffusion parameters on flax/epoxy composites, composites part a. Compos Part A Appl Sci Manuf. 2016;80:53–60.
  • Arbelaiz A, Fernández B, Ramos JA, et al. Mechanical properties of short flax fibre bundle/polypropylene composites: influence of matrix/fibre modification, fibre content, water uptake and recycling. Compos Sci Technol. 2005;65(10):1582–1592.
  • Mahdi E, Hernández Ochoa DR, Vaziri A, et al. Khalasa date palm leaf fiber as a potential reinforcement for polymeric composite materials, composite structures. Compos Struct. 2020;265:113501.
  • Ighalo JO, Igwegbe CA, Adeniyi AG, et al. Artificial neural network modeling of the water absorption behavior of plantain peel and bamboo fibers reinforced polystyrene composites. J Macromol Sci Part B. 2021;60(7):472–484.
  • Le Duigou A, Bourmaud A, Baley C. In-situ evaluation of flax fibre degradation during water ageing. Ind Crops Prod. 2015;70:204–210.
  • Belahcen D, Zouari W, Assarar M, et al. Analysis of the hygroscopic and hygroelastic behaviours of water aged flax-epoxy composite, Composite Structures. Compos Struct. 2021;265:113692.
  • Scida D, Assarar M, Poilâne C, et al. Influence of hygrothermal ageing on the damage mechanisms of flax-fibre reinforced epoxy composite, Composites Part B. Composites. 2013;48:51–58.
  • Cheng M, Zhong Y, Kureemun U, et al. Environmental durability of carbon/flax fiber hybrid composites. Compos Struct. 2020;234:111719.
  • Melo RQC, Lia Fook MV, Lima AGB. Non-fickian moisture absorption in vegetable fiber reinforced polymer composites: the effect of the mass diffusivity. Polymers. 2021;13(5):1–33.
  • Elsheikh A. Bistable morphing composites for energy-harvesting applications. Polymers. 2022;14(9):1893.
  • Elsheikh AH, Abd Elaziz M, Vendan A. Modeling ultrasonic welding of polymers using an optimized artificial intelligence model using a gradient-based optimizer, Welding in the World. Weld world. 2022;66(1):27–44.
  • Moustafa EB, Elsheikh A. Predicting Characteristics of Dissimilar Laser Welded Polymeric Joints Using a Multi-Layer Perceptrons Model Coupled with Archimedes Optimizer. Polymers. 2023;15(1):233.
  • Elsheikh AH, Elaziz MA, Das SR, et al. A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants. J Manuf Processes. 2021;67:562–578.
  • Khoshaim AB, Moustafa EB, Bafakeeh OT, et al. An Optimized Multilayer Perceptrons Model Using Grey Wolf Optimizer to Predict Mechanical and Microstructural Properties of Friction Stir Processed Aluminum Alloy Reinforced by Nanoparticles. Coatings. 2021;11(12):1476.
  • Moustafa EB, Hammad AH, Elsheikh AH. A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still. Case Stud Thermal Eng. 2022;30:101750.
  • Elsheikh AH, El-Said EMS, Abd Elaziz M, et al. Water distillation tower: experimental investigation, economic assessment, and performance prediction using optimized machine-learning model. J Clean Prod. 2023;388:135896.
  • Owolabi RU, Usman MA, Kehinde AJ. Modelling and optimization of process variables for the solution polymerization of styrene using response surface methodology. Journal of King Saud University - Engineering Sciences. 2018;30(1):22–30.
  • Singh RP, Kataria R, Kumar J. Machining of WC-Co composite using ultrasonic drilling: optimisation and mathematical modelling. Adv Mater Process Technol. 2021;7(2):317–332.
  • Saaidia A, Belaadi A, Boumaaza M, et al. Effect of Water Absorption on the Behavior of Jute and Sisal Fiber Biocomposites at Different Lengths: aNN and RSM Modeling. J Nat Fibers. 2023;20(1):1–19.
  • Belaadi A, Saaidia A, Boumaaza M, et al. Modeling Moisture Absorption of Flax/Sisal Reinforced Hybrid Biocomposites Using Fick’s and ANN Methods. J Nat Fibers. 2023;20(1):2140322.
  • Lekrine A, Belaadi A, Makhlouf A, et al. Structural, thermal, mechanical and physical properties of Washingtonia filifera Fibres Reinforced Thermoplastic Biocomposites. Mater Today Commun. 2022;31:103574.
  • Gu R, Kokta BV. Mechanical properties of pp composites reinforced with BCTMP aspen fiber. J Thermoplast Composite Mater. 2010;23(4):513–542.
  • Lee K-M, Park H, Kim J, et al. Fabrication of a superhydrophobic surface using a fused deposition modeling (FDM) 3D printer with poly lactic acid (PLA) filament and dip coating with silica nanoparticles. Appl Surface Sci. 2019;467-468:467–468.
  • ASTM D570 – 98, Standard Test Method for Water Absorption of Plastics, (n.d).
  • Saaidia A, Belaadi A, Boumaaza M, et al. Effect of Water Absorption on the Behavior of Jute and Sisal Fiber Biocomposites at Different Lengths: aNN and RSM Modeling. J Nat Fibers. 2023;20(1):2140326.
  • Danish M, Nadhari WNAW, Ahmad T, et al. Surface measurement of binderless bio-composite particleboard through contact angle and fractal surfaces. Measurement. 2019;140:365–372.
  • Sulaiman O, Salim N, Hashim R, et al. Evaluation on the suitability of some adhesives for laminated veneer lumber from oil palm trunks. Mater Des. 2009;30(9):3572–3580.
  • Shen C-H, Springer GS. Moisture Absorption and Desorption of Composite Materials. J Compos Mater. 1976;10(1):2–20.
  • Krishnaiah D, Bono A, Sarbatly R, et al. Optimisation of spray drying operating conditions of Morinda citrifolia L. fruit extract using response surface methodology. Journal of King Saud University - Engineering Sciences. 2015;27(1):26–36.
  • Boumaaza M, Belaadi A, Bourchak M. The Effect of Alkaline Treatment on Mechanical Performance of Natural Fibers-Reinforced Plaster: part II Optimization Comparison between ANN and RSM Statistics. J Nat Fibers. 2022;19(14):8367–8382.
  • Onu CE, Nwabanne JT, Ohale PE, et al. Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay. South Afr J Chem Eng. 2021;36:24–42.
  • Azeez TO, Onukwuli DO, Nwabanne JT, et al. Cissus Populnea Fiber - Unsaturated Polyester Composites: mechanical Properties and Interfacial Adhesion. J Nat Fibers. 2020;17(9):1281–1294.
  • Belaadi A, Boumaaza M, Alshahrani H, et al. Drilling performance prediction of HDPE/Washingtonia fiber biocomposite using RSM, ANN, and GA optimization. Int J Adv Manuf Technol. 2022;123(5–6):1543–1564.
  • Boumaaza M, Belaadi A, Alshahrani H, et al. Response Surface Methodology Optimization of Palm Rachis Biochar Content and Temperature Effects on Predicting Bio-Mortar Compressive Strength, Porosity and Thermal Conductivity. J Nat Fibers. 2023;20(1):2162184.
  • Boumaaza M, Belaadi A, Bourchak M, et al. Comparative study of flexural properties prediction of Washingtonia filifera rachis biochar bio-mortar by ANN and RSM models. Constr Build Mater. 2022;318:125985.
  • Ighalo JO, Igwegbe CA, Adeniyi AG, et al. Artificial Neural Network Modeling of the Water Absorption Behavior of Plantain Peel and Bamboo Fibers Reinforced Polystyrene Composites. J Macromol Sci Part B Artif Neural Net Model Water Absorption Behav Plan JMacromol Sci Part B. 2021;60(7):1–13.
  • Wang X, Li Y, Yan Y, et al. Prediction on the viscosity and thermal conductivity of hfc/hfo refrigerants with artificial neural network models. Int J Refrig. 2020;119:316–325.
  • Macedo MNQ, Galo JJM, de Almeida LAL, et al. Demand side management using artificial neural networks in a smart grid environment. Renew Sust Energ Rev. 2015;41:128–133.
  • Belaadi A, Boumaaza M, Alshahrani H, et al. Optimization of Palm Rachis Biochar Waste Content and Temperature Effects on Predicting Bio-Mortar: aNN and RSM Modelling. J Nat Fibers. 2023;20(1):2151547.
  • Fan M, Li T, Hu J, et al. Artificial neural network modeling and genetic algorithm optimization for cadmium removal from aqueous solutions by reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) composites. Materials. 2017;10(5):544.
  • Adeniyi AG, Ighalo JO, Marques G. Utilisation of machine learning algorithms for the prediction of syngas composition from biomass bio-oil steam reforming. Int J Sustainable Energy. 2021;40(4):310–325.
  • Malloum A, El Mahi A, Idriss M. The effects of water ageing on the tensile static and fatigue behaviors of greenpoxy–flax fiber composites. J Compos Mater. 2019;53(21):2927–2939.
  • Mannan KM, Talukder MAI. Characterization of raw, delignified and bleached jute fibres by study of absorption of moisture and some mechanical properties. Polymer. 1997;38(10):2493–2500.
  • Le Man H, Behera SK, Park HS. Optimization of operational parameters for ethanol production from Korean food waste leachate. Int J Environ Sci Technol. 2010;7(1):157–164.
  • Dan-Asabe B, Galadi AA. Mathematical Modeling of the Flexural Strength, Impact Energy and Water Absorption of a Pineapple Fibre-HDPE Composite using RSM Technique. J Polym Compos. 2017;5:42–49.
  • Benzannache N, Belaadi A, Boumaaza M, et al. Improving the mechanical performance of biocomposite plaster/Washingtonian filifira fibres using the RSM method. J Build Eng. 2021;33:101840.
  • Rai A, Mohanty B, Bhargava R. Supercritical extraction of sunflower oil: a central composite design for extraction variables. Food Chem. 2016;192:647–659.
  • Rajabi M, Zahedi P, Hassannejad Z, et al. Optimization of electrospinning parameters for producing silk fibroin/poly(ethylene oxide) nanofibers using D-optimal method. J Nat Fibers. 2019;16(8):1113–1123.
  • Chinonye OE, Oluchukwu AC, Elijah OC. Statistical analysis for orange G adsorption using kola nut shell activated carbon. J Chin Adv Mater Soc. 2018;6(4):605–619.
  • Ositadinma IC, Tagbo NJ, Elijah OC. Optimum Process Parameters for Activated Carbon Production from Rice Husk for Phenol Adsorption. Curr J Appl Sci Technol. 2019;36:1–11.

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