Experimental Analysis and Predictive Modeling of Mechanical Behavior in Epoxy Composites Reinforced with Waste Tyre Rubber Particles

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Year : 2026 | Volume : 14 | 01 | Page :
    By

    Sivakumar Sambath,

  • Rajasekar Rajendran,

  • Sabarish Rajagopalan,

  1. Research Scholar, School of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
  2. Associate Professor, School of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
  3. Associate Professor, School of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India

Abstract

The disposal of end-of-life tyres poses a significant environmental and resource challenge owing to their large volumes and non-biodegradable nature. In this work, we explore the incorporation of waste tyre rubber particles (WTRP) into an epoxy resin matrix to develop sustainable polymer composites and examine their mechanical behavior both experimentally and through predictive modelling. Composites with differing epoxy: WTRP ratios (80:20, 75:25, 70:30 wt.%) and varying rubber particle mesh sizes (4.85 mm, 2.36 mm, 1.18 mm, 1.00 mm) were fabricated and characterized for hardness, tensile strength, modulus and other relevant metrics measured in accordance with ASTM D638, D790, D256, and D2240 standards. The results revealed that finer rubber particles enhanced the hardness of the composite at constant loading, ascribed to improved dispersion, whereas increasing WTRP content resulted in a gradual variation in mechanical properties owing to the softer elastomeric phase. An artificial neural network (ANN)-based predictive model was developed correlating the mechanical responses to composition and particle size, demonstrating good fidelity (R > 0.9997) across the dataset. The findings suggest that optimal combinations of WTRP content and particle size can deliver improved hardness with acceptable trade-offs in rigidity, thereby offering a pathway to valorise waste tyre rubber in high-value polymer composite applications.

Keywords: Epoxy composites, Waste tyre rubber particles; Mechanical properties, Artificial neural network, Predictive modeling.

How to cite this article:
Sivakumar Sambath, Rajasekar Rajendran, Sabarish Rajagopalan. Experimental Analysis and Predictive Modeling of Mechanical Behavior in Epoxy Composites Reinforced with Waste Tyre Rubber Particles. Journal of Polymer & Composites. 2026; 14(01):-.
How to cite this URL:
Sivakumar Sambath, Rajasekar Rajendran, Sabarish Rajagopalan. Experimental Analysis and Predictive Modeling of Mechanical Behavior in Epoxy Composites Reinforced with Waste Tyre Rubber Particles. Journal of Polymer & Composites. 2026; 14(01):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=239009


References

  1. Sienkiewicz M, Janik H, Borzędowska-Labuda K, Kucińska-Lipka J. Environmentally friendly polymer–rubber composites obtained from waste tyres: A review. J Clean Prod. 2017;147:560–571. doi:10.1016/j.jclepro.2017.01.121.
  2. Anwar S, Li X. A review of high-quality epoxy resins for corrosion-resistant applications. J Coat Technol Res. 2024;21(2):461–480. doi:10.1007/s11998-023-00865-5.
  3. Luo Z, Wang Y, Wang T. Shear behavior of epoxy joints in precast segmental bridges under impact loading. Eng Struct. 2022;269:114641. doi:10.1016/j.engstruct.2022.114641.
  4. Ağcan AE, Kartal İ. A review of waste-derived fillers for enhancing the properties of epoxy resins. Int J Adhes Adhes. 2025;138:103944. doi:10.1016/j.ijadhadh.2025.103944.
  5. Tabassum Z, et al. Trash to treasure: Advancing resource efficiency using waste-derived fillers as sustainable reinforcing agents in bioplastics. Mater Adv. 2025;6(2):527–546. doi:10.1039/d4ma01043d.
  6. Wiśniewska P, et al. Rubber wastes recycling for developing advanced polymer composites: A warm handshake with sustainability. J Clean Prod. 2023;427:139010. doi:10.1016/j.jclepro.2023.139010.
  7. Fazli A, Rodrigue D. Sustainable reuse of waste tire textile fibers (WTTF) as reinforcements. Polymers (Basel). 2022;14(19):3933. doi:10.3390/polym14193933.
  8. Abdullah ZT. Remanufactured waste tire by-product valorization: Quantitative–qualitative sustainability-based assessment. Results Eng. 2024;22:102229. doi:10.1016/j.rineng.2024.102229.
  9. Müller M, Valášek P, Rudawska A, Chotěborský R. Effect of active rubber powder on structural two-component epoxy resin and its mechanical properties. J Adhes Sci Technol. 2018;32(14):1531–1547. doi:10.1080/01694243.2018.1428040.
  10. Shivamurthy B, Doreswamy D, Nishanth J, Prasad SHC. Physical and tribo-mechanical properties of waste rubber tyre/epoxy composites. Mater Res Express. 2019;6(9):095321. doi:10.1088/2053-1591/ab09ba.
  11. Tamas-Benyei P, Bitay E, Kishi H, Matsuda S, Czigany T. Toughening of epoxy resin: The effect of water jet milling on worn tire rubber particles. Polymers (Basel). 2019;11(3):529. doi:10.3390/polym11030529.
  12. Adesina AY, Zainelabdeen IH, Dalhat MA, Mohammed AS, Sorour AA, Al-Badour FA. Influence of micronized waste tire rubber on the mechanical and tribological properties of epoxy composite coatings. Tribol Int. 2020;146:106244. doi:10.1016/j.triboint.2020.106244.
  13. Liu H, Wang X, Jia D. Recycling of waste rubber powder by mechano-chemical modification. J Clean Prod. 2020;245:118716. doi:10.1016/j.jclepro.2019.118716.
  14. Kabakçi GC, Aslan O, Bayraktar E. A review on analysis of reinforced recycled rubber composites. J Compos Sci. 2022;6(8):225. doi:10.3390/jcs6080225.
  15. Manikandan S, Jayaram A, Nanthakumar D. Predicting dynamic viscosity in nanofluids of graphene nanoplatelets and SAE10W oil utilizing artificial neural networks. Period Polytech Chem Eng. 2024;68(4):571–581. doi:10.3311/PPch.37179.
  16. Manikandan S, Nanthakumar AJD. Experimental investigation and specific heat capacity prediction of graphene nanoplatelet-infused SAE10W oil using artificial neural networks. Period Polytech Chem Eng. 2024;68(3):437–445. doi:10.3311/PPch.37050.
  17. Sekar M, Venkatesan DK, Ayannan S, Krishnamoorthy SK. Predictability evaluation of ANN and RSM models for thermo-physical properties of graphene nanoplatelets–EG/water nanofluids. Period Polytech Chem Eng. 2025;69(2):273–283. doi:10.3311/PPch.39998.
  18. Manikandan S, Nanthakumar AJD. Development of a predictive model for thermal conductivity in graphene nanoplatelets-infused damper oil using ANN/RSM. Therm Sci. 2024;28(5B):4235–4247. doi:10.2298/tsci231130152m.
  19. Li M, et al. Improvements of adhesion strength of water-based epoxy resin on CFRP composites via building surface roughness using modified silica particles. Compos Part A Appl Sci Manuf. 2023;169:107511. doi:10.1016/j.compositesa.2023.107511.
  20. Shejkar SK, Agrawal B, Agrawal A, Gupta G, Pati PR. Influence of filler content and surface modification on physical and mechanical properties of epoxy/walnut shell particulate composites. J Adhes Sci Technol. 2023;37(7):1215–1232. doi:10.1080/01694243.2022.2066915.
  21. Payungwong N, Wu J, Sakdapipanich J. Unlocking the potential of natural rubber: A review of rubber particle sizes and their impact on properties. Polymer (Guildf). 2024;308:127419. doi:10.1016/j.polymer.2024.127419.
  22. Qureshi M, Li J, Wu C, Sheng D. Mechanical strength of rubberized concrete: Effects of rubber particle size, content, and waste fibre reinforcement. Constr Build Mater. 2024;444:137868. doi:10.1016/j.conbuildmat.2024.137868.
  23. Kuan HTN, Tan MY, Shen Y, Yahya MY. Mechanical properties of particulate organic natural filler-reinforced polymer composite: A review. Compos Adv Mater. 2021;30. doi:10.1177/26349833211007502.
  24. Pawlik M, Cheah LYY, Gunputh U, Le H, Wood P, Lu Y. Surface engineering of CFRP composites with woven steel mesh for adhesion strength enhancement. Int J Adhes Adhes. 2022;114:103105. doi:10.1016/j.ijadhadh.2022.103105.
  25. Megahed M, Fathy A, Morsy D, Shehata F. Mechanical performance of glass/epoxy composites enhanced by micro- and nanosized aluminum particles. J Ind Text. 2021;51(1):68–92. doi:10.1177/1528083719874479.
  26. Fekiač JJ, et al. Comprehensive review: Optimization of epoxy composites, mechanical properties, and technological trends. Polymers (Basel). 2025;17(3):271. doi:10.3390/polym17030271.
  27. Abbas S, Fatima A, Kazmi SMS, Munir MJ, Ali S, Rizvi MA. Effect of rubber waste particle size and dosage on mechanical properties of rubberized concrete composite. Appl Sci. 2022;12(17):8460. doi:10.3390/app12178460.
  28. Xian W, Zhan YS, Maiti A, Saab AP, Li Y. Filled elastomers: Mechanistic and physics-driven modeling and applications as smart materials. Polymers (Basel). 2024;16(10):1–42. doi:10.3390/polym16101387.
  29. Pieniak D, Gil L, Wit-Rusiecki AM, Selech J, Krzyżak A, Bartnik G. Indentation hardness and sliding wear of CFRP due to adhesive film and thermal treatment. Compos Part B Eng. 2025;299:112421. doi:10.1016/j.compositesb.2025.112421.
Ahead of Print Subscription Original Research
Volume 14
01
Received 19/11/2025
Accepted 01/12/2025
Published 21/03/2026
Publication Time 122 Days
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