Durability analysis on properties of water soaked PNNCs and CS-ANN model for wear property analysis of PNNCs

References

• Abdel-Basset, M., Abdel-Fatah, L., & Sangaiah, A. K. (2018). Metaheuristic algorithms: A comprehensive review. In Computational intelligence for multimedia big data on the cloud with engineering applications (pp. 185–20). Elsevier. https://doi.org/10.1016/B978-0-12-813314-9.00010-4
   Google Scholar
• Abdul Hanan, U., Abu Hassan, S., Uzir Wahit, M., Binoj, J. S., Mansingh, B. B., & Goh, K. L. (2022, Sep). Experimentation, optimization, and predictive analysis of compressive behavior of montmorillonite nano‐clay/unsaturated polyester composites. Polymer Composites, 44(1), 241–251. https://doi.org/10.1002/pc.27041
   Web of Science ®Google Scholar
• Alas, M., Ali, S. I. A., Abdulhadi, Y., & Abba, S. I. (2020, Oct). Experimental evaluation and modeling of polymer nanocomposite modified asphalt binder using ANN and ANFIS. Journal of Materials in Civil Engineering, 32(10), https://doi.org/10.1061/(ASCE)MT.1943-5533.0003404
   Web of Science ®Google Scholar
• Bhat, R., Mohan, N., Sharma, S., Pratap, A., Keni, A. P., & Sodani, D. (2019). Mechanical testing and microstructure characterization of glass fiber reinforced isophthalic polyester composites. Journal of Materials Research and Technology, 8(4), 3653–3661. https://doi.org/10.1016/j.jmrt.2019.06.003
   Google Scholar
• Boga, C., & Koroglu, T. (2021, Oct). Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm. Journal of Manufacturing Processes, 70, 560–569. https://doi.org/10.1016/j.jmapro.2021.08.062
   Web of Science ®Google Scholar
• Chan, M., Lau, K., Wong, T., Ho, M., & Hui, D. (2011, Sep). Mechanism of reinforcement in a nanoclay/polymer composite. Composites Part B: Engineering, 42(6), 1708–1712. https://doi.org/10.1016/j.compositesb.2011.03.011
   Web of Science ®Google Scholar
• Daglar, O., Çakmakçi, E., Gunay, U. S., Hizal, G., Tunca, U., & Durmaz, H. (2021, Jul). All in one: The preparation of polyester/silica hybrid nanocomposites via three different metal-free click reactions. European Polymer Journal, 154, 110532. https://doi.org/10.1016/j.eurpolymj.2021.110532
   Web of Science ®Google Scholar
• Guo, F., Aryana, S., Han, Y., & Jiao, Y. (2018, Sep). A review of the synthesis and applications of polymer–nanoclay composites. Applied Sciences, 8(9), 1696. https://doi.org/10.3390/app8091696
   Google Scholar
• Hamim, S. U., & Singh, R. P. (2014). Effect of hygrothermal aging on the mechanical properties of fluorinated and nonfluorinated clay-epoxy nanocomposites. International Scholarly Research Notices, 2014, 1–13. https://doi.org/10.1155/2014/489453
   Google Scholar
• He, X., Zhang, H., Qiu, L., Mao, Z., & Shi, C. (2021, Apr). Hygrothermal performance of temperature-humidity controlling materials with different compositions. Energy & Buildings, 236, 110792. https://doi.org/10.1016/j.enbuild.2021.110792
   Web of Science ®Google Scholar
• Hu, Y., Ji, W. M., & Zhang, L. W. (2020, Sep). Water-induced damage revolution of the carbon nanotube reinforced poly (methyl methacrylate) composites. Composites Part A, Applied Science and Manufacturing, 136, 105954. https://doi.org/10.1016/j.compositesa.2020.105954
   Web of Science ®Google Scholar
• Jumahat, A., Talib, A. A. A., & Abdullah, A. (2016). Wear properties of nanoclay filled epoxy polymers and fiber reinforced hybrid composites (pp. 247–260). https://doi.org/10.1007/978-981-10-1953-1_11
   Google Scholar
• Kini, A., Shettar, M., Kowshik, S., Nikhil, R., & Chate, G. (2022). Water soaking and re-drying effect on mechanical and wear properties of nanoclay-polyester nanocomposites. Materials Research, 25. https://doi.org/10.1590/1980-5373-mr-2021-0478
   Web of Science ®Google Scholar
• Kowshik, S., M C, G., Shettar, M., Bhat, R., B M, G., & Gupta, M. (2021, Jan). Durability prediction analysis on mechanical properties of GFRP upon immersion in water at ambient temperature. Cogent Engineering, 8(1), https://doi.org/10.1080/23311916.2021.1956869
   Web of Science ®Google Scholar
• Kusmono, Hestiawan, H., Jamasri. (2020, May). The water absorption, mechanical and thermal properties of chemically treated woven fan palm reinforced polyester composites. Journal of Materials Research and Technology, 9(3), 4410–4420. https://doi.org/10.1016/j.jmrt.2020.02.065
   Google Scholar
• Megahed, M., Agwa, M., & Megahed, A. (2022, Jun). Effect of ultrasonic parameters on the mechanical properties of glass fiber reinforced polyester filled with nano-clay. Journal of Industrial Textiles, 51(2_suppl), 2944S–2959S. https://doi.org/10.1177/1528083720918348
   Web of Science ®Google Scholar
• Merah, N., Ashraf, F., & Shaukat, M. M. (2022, Apr). Mechanical and moisture barrier properties of epoxy–nanoclay and hybrid epoxy–nanoclay glass fibre composites: A review. Polymers (Basel), 14(8), 1620. https://doi.org/10.3390/polym14081620
   PubMed Web of Science ®Google Scholar
• Merah, N., & Mohamed, O. (2019, Jan). Nanoclay and water uptake effects on mechanical properties of unsaturated polyester. Journal of Nanomaterials, 2019, 1–11. https://doi.org/10.1155/2019/8130419
   Web of Science ®Google Scholar
• Merzah, Z. F., Fakhry, S., Allami, T. G., Yuhana, N. Y., & Alamiery, A. (2022, Jan). Enhancement of the properties of hybridizing epoxy and nanoclay for mechanical, industrial, and biomedical applications. Polymers (Basel), 14(3), 526. https://doi.org/10.3390/polym14030526
   PubMed Web of Science ®Google Scholar
• Mutuk, T., Gürbüz, M., & Mutuk, H. (2020, Aug). Prediction of wear properties of graphene-Si 3 N 4 reinforced titanium hybrid composites by artificial neural network. Materials Research Express, 7(8), 086511. https://doi.org/10.1088/2053-1591/abaac8
   Web of Science ®Google Scholar
• Nemati Giv, A., Rastegar, S., & Özcan, M. (2020, Jan). Influence of nanoclays on water uptake and flexural strength of glass–polyester composites. Journal of Applied Biomaterials & Functional Materials, 18, 228080002093018. https://doi.org/10.1177/2280800020930180
   Web of Science ®Google Scholar
• Rafiq, A., & Merah, N. (2019, Jan). Nanoclay enhancement of flexural properties and water uptake resistance of glass fiber-reinforced epoxy composites at different temperatures. Journal of Composite Materials, 53(2), 143–154. https://doi.org/10.1177/0021998318781220
   Web of Science ®Google Scholar
• Saharudin, M. S., Wei, J., Shyha, I., & Inam, F. (2016). The degradation of mechanical properties in halloysite nanoclay-polyester nanocomposites exposed in seawater environment. Journal of Nanomaterials, 2016, 1–12. https://doi.org/10.1155/2016/2604631
   Web of Science ®Google Scholar
• Saxena, D., Soundararajan, N., Katiyar, V., Rana, D., & Maiti, P. (2020, Jul). Structural, mechanical, and gas barrier properties of poly(ethylene terephthalate) nanohybrid using nanotalc. Journal of Applied Polymer Science, 137(27), 48607. https://doi.org/10.1002/app.48607
   Web of Science ®Google Scholar
• Seetharaman, A., & Narayanan, V. (2022, Oct). Effect of aluminosilicate nanoclay on polyester composites’ static and dynamic mechanical properties. Polymer Composites, 43(10), 7290–7302. https://doi.org/10.1002/pc.26794
   Web of Science ®Google Scholar
• Shettar, M., Doshi, M., & Rawat, A. K. (2021, Sep). Study on mechanical properties and water uptake of polyester-nanoclay nanocomposite and analysis of wear property using RSM. Journal of Materials Research and Technology, 14, 1618–1629. https://doi.org/10.1016/j.jmrt.2021.07.034
   Google Scholar
• Shettar, M., Kowshik, S., Gowrishnakar, G., Hiremath, P., & Sharma, S. (2022, Mar). Water sorption-desorption-resorption effects on mechanical properties of epoxy-nanoclay nanocomposites. International Journal of Automotive and Mechanical Engineering, 19(1), 9478–9486. https://doi.org/10.15282/ijame.19.1.2022.11.0730
   Web of Science ®Google Scholar
• Shettar, M., Shettigar, P., Manjunath, M., & Rao, U. S. (2020, Jul). Study on effect of water soaking conditions on properties and morphology of glass fiber–cement–polyester composites. Journal of Materials Research and Technology, 9(4), 8697–8704. https://doi.org/10.1016/j.jmrt.2020.05.117
   Google Scholar
• Srinivas, D., Shankar, G., Sharma, S., Shettar, M., & Hiremath, P. (2022). Artificial neural network for predicting hardness of multistage solutionized and artificially aged LM4 + TiB2 composites. Materials Research, 25. https://doi.org/10.1590/1980-5373-mr-2021-0557
   Web of Science ®Google Scholar
• Srinivas, D., Sharma, S., Nayak, R., Kumar, N., & Shettar, M. (2022, Oct). Optimization and prediction of the hardness behaviour of LM4 + SI3N4 composites using RSM and ANN - a comparative study. Journal of Applied Engineering Science, 20(4), 1–12. https://doi.org/10.5937/jaes0-38109
   Google Scholar
• Yang, X. -S., & Deb, S. (2010). Engineering optimisation by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation, 1(4), 330. , May, [Online]. Available. https://doi.org/10.1504/IJMMNO.2010.035430
   Google Scholar