journal article·2025-12-15Open access

INFLUENCE OF POLYBENZIMIDAZOLE NANOFILLER IN PINEAPPLE FIBER-BASED EPOXY COMPOSITES: TRIBOLOGICAL AND OPTIMIZATION ANALYSES

Department of Mechanical Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India, JAFREY DANIEL JAMES DHILIP, VIJAY RAGHUNATHAN, Natural Composites Research Lab, Department of Materials and Production Engineering, Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand, PANDIYAN G. KARTHIK, Department of Mechanical Engineering, Sri Vidya College of Engineering and Technology, Virudhunagar, Tamil Nadu, India, VINOD AYYAPPAN, Natural Composites Research Lab, Department of Materials and Production Engineering, Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand, SANJAY MAVINKERE RANGAPPA, Natural Composites Research Lab, Department of Materials and Production Engineering, Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand, SUCHART SIENGCHIN, Natural Composites Research Lab, Department of Materials and Production Engineering, Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand

Cellulose Chemistry and Technology· Volume 59· Issue 9-10

Abstract

In the present work, the epoxy matrix was reinforced with pineapple fiber and polybenzimidazole (PBI) filler as secondary reinforcement. The composites were manufactured by the hand lay-up process. Wear characteristics were studied utilizing two-body abrasive wear tests. The input characteristics chosen for the study were: (i) polybenzimidazole content (wt%), (ii) load (N), and (iii) sliding distance (m). The resulting parameters assessed were: specific wear rate (SWR) and coefficient of friction (COF). A scanning electron microscope was utilized to study the worn surface of the abraded surfaces. The output of the experiments revealed that the addition of PBI filler to the pineapple fiber-based epoxy composite resulted in an increase in wear resistance. Finally, the output of the experiments was optimized by multi-criteria decision methods, such as Additive Ratio Assessment, Vise Kriterijumska Optimizacija Kompromisno Reseneje, and Weighted Aggregated Sum Product Assessment methods.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Tribology and Wear Analysis · Natural Fiber Reinforced Composites · Polymer Nanocomposites and Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (33)

Show source-provided references
1. "1 M. L. Rinawa, K. Singh, V. Chaudhary, N. Ahamad, P. P. Das et al., Mater. Today Proc., 56, 2640 (2022), https://doi.org/10.1016/j.matpr.2021.09.18410.1016/j.matpr.2021.09.184 ↗
2. 2 R. Vijay, D. L. Singaravelu, A. Vinod, M. R. Sanjay, S. Siengchin et al., Int. J. Biol. Macromol., 125, 99 (2019), https://doi.org/10.1016/j.ijbiomac.2018.12.10910.1016/j.ijbiomac.2018.12.109 ↗
3. 3 R. Venkatesh, S. Ballal, A. Mohana Krishnan, S. Prabagaran, S. Mohankumar et al., Heliyon, 9, 1 (2023), https://doi.org/10.1016/j.heliyon.2023.e1593410.1016/j.heliyon.2023.e15934 ↗
4. 4 B. T. Parthasarathi, S. Arunachalam, N. K. Jawaharlal and M. C. R. Balasundaram, Cellulose Chem. Technol., 58, 349 (2024), https://doi.org/10.35812/CelluloseChemTechnol.2024.58.3410.35812/CelluloseChemTechnol.2024.58.34 ↗
5. 5 R. Vijay, J. D. Dhilip, J. Gowtham, S. Harikrishnan, B. Chandru et al., J. Nat. Fibers, 19, 1343 (2022), https://doi.org/10.1080/15440478.2020.176445710.1080/15440478.2020.1764457 ↗
6. 6 M. Ramesh, D. J. D. James, G. Sathish Kumar, V. Vijayan, S. Raja Narayanan et al., Bioorg. Chem., 2022, 6344179 (2022), https://doi.org/10.1155/2022/634417910.1155/2022/6344179 ↗
7. 7 S. Chandrasekaran, N. Sato, F. Tölle, R. Mülhaupt, B. Fiedler et al., Compos. Sci. Technol., 97, 90 (2014), https://doi.org/10.1016/j.compscitech.2014.03.01410.1016/j.compscitech.2014.03.014 ↗
8. 8 K. Zhang, F. Wang, W. Liang, Z. Wang, Z. Duan et al., Polymers, 10, 608 (2018), https://doi.org/10.3390/polym1006060810.3390/polym10060608 ↗
9. 9 K. Z. M. A. Motaleb, M. S. Islam and M. B. Hoque, Int. J. Biomater., 6, 94 (2018), https://doi.org/10.3390/fib604009410.3390/fib6040094 ↗
10. 10 R. Kannojiya, K. Gaurav, R. Ranjan, N. K. Tiyer and K. M. Pandey, J. Environ. Res. Dev., 7, 1385 (2013), https://doi.org/10.1155/2015/95056710.1155/2015/950567 ↗
11. 11 V. Raghunathan, J. D. J. Dhilip, M. Ramesh, R. Kumaresan, S. Govindarajan et al., J. Nat. Fibers, 19, 9681 (2021), https://doi.org/10.1080/15440478.2021.199018310.1080/15440478.2021.1990183 ↗
12. 12 S. M. Sapuan, A. R. Mohamed, J. P. Siregar and M. R. Ishak, in "Cellulose Fibers: Bio- and Nano-Polymer Composites: Green Chemistry and Technology", edited by S. Kalia, B. S. Kaith and I. Kaur, Springer, 2011, pp. 325-343, https://doi.org10.1007/978-3-642-17370-7_1610.1007/978-3-642-17370-7_12 ↗
13. 13 K. Mylsamy and I. Rajendran, Tribol. Lett., 44, 75 (2011), https://doi.org/10.1007/s11249-011-9829-z10.1007/s11249-011-9829-z ↗
14. 14 I. Jenish, V. C. S. Gandhi, R. E. Raj, S. Basavarajappa, S. Indran et al., J. Nat. Fibers, 19, 3502 (2022), https://doi.org/10.1080/15440478.2020.184870910.1080/15440478.2020.1848709 ↗
15. 15 N. S. M. El-Tayeb, Wear, 265, 223 (2008), https://doi.org/10.1016/j.wear.2007.10.00610.1016/j.wear.2007.10.006 ↗
16. 16 A. Sequeiera, D. Deepak and H. K. Sachidananda, SN Appl. Sci., 5, 11 (2023), https://doi.org/10.1007/s42452-022-05249-910.1007/s42452-022-05249-9 ↗
17. 17 S. M. V. Kumar, R. Jeyakumar, N. Manikandaprabu and C. Sasikumar, Cellulose Chem. Techno., 58, 833 (2024), https://doi.org/10.35812/CelluloseChemTechnol.2024.58.7410.35812/CelluloseChemTechnol.2024.58.74 ↗
18. 18 D. E. Ighravwe and S. A. Oke, Int. J. Syst. Assur. Eng. Manage., 8, 961 (2017), https://doi.org/10.1080/2374068X.2018.152425610.1080/2374068X.2018.1524256 ↗
19. 19 M. C. Pariz, C. M. F. Carvalho, P. C. A. Rebelo and J. C. J Colmenero, Multi-Criter. Decis. Anal., 29, 327 (2022), https://doi.org/10.1007/s11665-022-07082-y10.1007/s11665-022-07082-y ↗
20. 20 B. Vučijak, T. Kupusović, S. MidŽić-Kurtagić and A. Ćerić, Int. J. Innov. Res. Adv. Stud., 4, 59 (2013), https://doi.org/10.4018/ijsds.201404010510.4018/ijsds.2014040105 ↗
21. 21 D. E. Ighravwe and S. A. Oke, Int. J. Syst. Assur. Eng. Manage., 8, 961 (2017), https://doi.org/10.1007/s13198-016-0554-810.1007/s13198-016-0554-8 ↗
22. 22 M. Mathew, R. K. Chakrabortty and M. J. Ryan, Eng. Appl. Artif. Intell., 96, 103988 (2020), https://10.1016/j.engappai.2020.10398810.1016/j.engappai.2020.103988 ↗
23. 23 B. Vučijak, T. Kupusović, S. Midžić-Kurtagić and A. Ćerić, Appl. Energ., 101, 267 (2012), https://doi.org/10.1016/j.apenergy.2012.05.02410.1016/j.apenergy.2012.05.024 ↗
24. 24 S. Opricovic and G.-H. Tzeng, Eur. J. Oper. Res., 156, 445 (2004), https://doi.org/10.1016/S0377-2217(03)00020-110.1016/S0377-2217(03)00020-1 ↗
25. 25 E. A. Adali and A. T. Işik, Manas Sosyal Araştırmalar Dergisi, 5, 124 (2016), https://dergipark.org.tr/en/pub/mjss/issue/40504/485321
26. 26 S. Shubhra Goswami and D. K. Behera, Surf. Topogr. Metrol. Prop., 38, 2256 (2021), https://doi.org/10.1016/j.matpr.2020.06.32010.1016/j.matpr.2020.06.320 ↗
27. 27 F. A. Albert, D. J. D. Jafrey, G. Karthik Pandiyan, I. W. John, S. Hariharan et al., J. Mater. Eng. Perform., 32, 82 (2023), https://doi.org/10.1007/s11665-022-07082-y10.1007/s11665-022-07082-y ↗
28. 28 A. Pogačnik, A. Kupec and M. Kalin, Wear, 378, 17 (2017), https://doi.org/10.1016/j.wear.2017.01.11810.1016/j.wear.2017.01.118 ↗
29. 29 M. K. Gupta and R. K. Srivastava, Indian J. Eng. Mater. Sci., 23, 37 (2016)
30. 30 J. D. J. Dhilip, K. Pandiyan Ganesan and V. Sivalingam, J. Mater. Eng. Perform., 33, 5547 (2024), https://doi.org/10.1007/s11665-023-08323-410.1007/s11665-023-08323-4 ↗
31. 31 A. Perec and A. Radomska-Zalas, Proc. Comput. Sci., 207, 1193 (2022), https://doi.org/10.1016/j.procs.2022.09.17510.1016/j.procs.2022.09.175 ↗
32. 32 S. Chakraborty, Informatica, 25, 1 (2014), https://doi.org 10.15388/Informatica.2014.0110.15388/Informatica.2014.01 ↗
33. "