Ranking of Epoxy/Kota Stone Dust/Fly Ash Composite Using Integrated AHP-TOPSIS Approach

Open Access

Year : 2024 | Volume : 12 | Special Issue 06 | Page : 36 42
    By

    virendra rajput,

  • Rohit Soni,

  • Dinesh Singh Yadav,

  • Animesh Singhai,

  • Dharmendra Tikle,

  • Surendra Kushwah,

  • Alok Agrawal,

  1. Associate Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  2. Assistant Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  3. Assistant Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  4. Assistant Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  5. Assistant Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  6. Assistant Professor, Mechanical Engineering Department, Prestige Institute of Management & Research, Bhopal, Madhya Pradesh, India
  7. Associate Professor, , Mechanical Engineering Department, Sagar Institute of Research & Technology, Bhopal, Madhya Pradesh, India

Abstract

The generation of industrial waste is a significant contributor to environmental pollution. The stone industry is no exception to this, and it is known to produce a significant amount of waste. The Kota Stone Industry in India is one such industry that generates waste. This research article focuses on composite material selection for mechanical and structural applications by fabricating epoxy composites reinforced with Kota stone dust and fly ash using manual hand layup process. The article employs Multi-Criteria Decision Making (MCDM) approaches such as Analytic Hierarchy Process (AHP) and TOPSIS to rank the composites based on their physical and mechanical properties. The Analytic Hierarchy Process (AHP), introduced by T. L. Saaty, has become one of the most widely used decision- making tools. The AHP method evaluates then weightage of each criterion, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)method ranks the composites. The article highlights the use of these hybrid MCDM techniques for the first time in such a material and filler combination. Based on the analysis, the hybrid composite material that consists of EPO + 20KSD +FA was identified as the most optimal alternative. This composites Show the highest relative closeness value of 0.640, indicating that it is the most suitable material for the given application.

Keywords: AHP, MOORA, MCDM, epoxy, kota stone dust, mechanical properties.

[This article belongs to Special Issue under section in Journal of Polymer and Composites (jopc)]

How to cite this article:
virendra rajput, Rohit Soni, Dinesh Singh Yadav, Animesh Singhai, Dharmendra Tikle, Surendra Kushwah, Alok Agrawal. Ranking of Epoxy/Kota Stone Dust/Fly Ash Composite Using Integrated AHP-TOPSIS Approach. Journal of Polymer and Composites. 2024; 12(06):36-42.
How to cite this URL:
virendra rajput, Rohit Soni, Dinesh Singh Yadav, Animesh Singhai, Dharmendra Tikle, Surendra Kushwah, Alok Agrawal. Ranking of Epoxy/Kota Stone Dust/Fly Ash Composite Using Integrated AHP-TOPSIS Approach. Journal of Polymer and Composites. 2024; 12(06):36-42. Available from: https://journals.stmjournals.com/jopc/article=2024/view=187378


References

  1. Shejkar SK, Agrawal A, Agrawal B. Walnut shell particulates as filler material in polymeric matrix: A review [Internet]. Ijerct.com. [cited 2024 Jun 20]. Available from: https://www.ijerct.com/papers/02-03/walnut-shell-particulates-as-filler-material-in-polymeric-matrix-a-review.pdf
  2. Jangeed D, Pandey TN, Gupta V, Nagar R. Replacing certain amount of course aggregate with waste kota-stone chips & make the Eco friendly paver block [Internet]. Irjet.net. 2008 [cited 2024 Jun 20]. Available from: https://www.irjet.net/archives/V6/i2/IRJET-V6I2186.pdf
  3. Awad AH, El-Gamasy R, Abd El-Wahab AA, Abdellatif MH. Assessment of mechanical properties of HDPE composite with addition of marble and granite dust. Ain Shams Eng J [Internet]. 2020;11(4):1211–7. Available from: http://dx.doi.org/10.1016/j.asej.2020.02.001
  4. Santulli C, Palanisamy S, Kalimuthu M, Azeez A, Nagarajan R, Shanmugavel R. Role of nanofillers in thermoset-based polymer blends. In: Nanofillers for Binary Polymer Blends. Elsevier; 2024. p. 165–93.
  5. Karthik A, Bhuvaneshwaran M, Senthil Kumar MS, Palanisamy S, Palaniappan M, Ayrilmis N. A review on surface modification of plant fibers for enhancing properties of biocomposites. ChemistrySelect [Internet]. 2024;9(21). Available from: http://dx.doi.org/10.1002/slct.202400650.
  6. Palaniappan M, Palanisamy S, Khan R, H.Alrasheedi N, Tadepalli S, Murugesan TM, et al. Synthesis and suitability characterization of microcrystalline cellulose from Citrus x sinensis sweet orange peel fruit waste-based biomass for polymer composite applications. J Polym Res [Internet]. 2024;31(4). Available from: http://dx.doi.org/10.1007/s10965-024-03946.
  7. Kar A, Saikia D, Palanisamy S, Santulli C, Fragassa C, Thomas S. Effect of alkali treatment under ambient and heated conditions on the physicochemical, structural, morphological, and thermal properties of Calamus tenuis cane fibers. Fibers (Basel) [Internet]. 2023;11(11):92. Available from: http://dx.doi.org/10.3390/fib11110092.
  8. Kurien, R.A., Selvaraj, D.P., Sekar, M. et al. A comprehensive review on the mechanical, physical, and thermal properties of abaca fibre for their introduction into structural polymer composites. Cellulose 30, 8643–8664 (2023). https://doi.org/10.1007/s10570-023-05441-z.
  9. Rajput V, Sahu NK, Agrawal A. Optimization of waste kota stone dust filled epoxy composite by analytical hierarchy process (AHP) approach. Mater Today [Internet]. 2022;50:1708–12. Available from: http://dx.doi.org/10.1016/j.matpr.2021.09.168
  10. Feng J, Yan Y, Huang M, Du Y, Lu Z, Li B. A study on the multi-attribute decision theory and methods. Procedia Comput Sci [Internet]. 2022;214:544–51. Available from: http://dx.doi.org/10.1016/j.procs.2022.11.210.
  11. Kale SA, Kulkarni SR, Shravagi SD. Materials for small wind turbine blades [Internet]. Unpublished; 2021. Available from: http://dx.doi.org/10.13140/RG.2.2.22099.09762.
  12. Kumar S, Maithani R, Kumar A. Optimal design parameter selection for performance of alumina nano-material particles and turbulence promotors in heat exchanger: An AHP-TOPSIS technique. Mater Today [Internet]. 2021;43:3152–5. Available from: http://dx.doi.org/10.1016/j.matpr.2021.01.654
  13. Kumar M. Application of hybrid AHP-TOPSIS technique in analyzing the braking performance sensitivity of organic-ceramic fibrous reinforced friction composites. Indian J Eng Mater Sci [Internet]. 2020 [cited 2024 Jun 20];27(02):300–8. Available from: http://op.niscair.res.in/index.php/IJEMS/article/view/45943
  14. Puspitasari NB, Febriani V. Integration of the AHP-TOPSIS approach in material supplier selection. E3S Web Conf [Internet]. 2024 [cited 2024 Jun 20];517:06005. Available from: https://www.e3sconferences.org/articles/e3sconf/abs/2024/47/e3sconf_icetia2024_06005/e3sconf_icetia2024_06005.html
  15. Ahmed SK, Kabir G. An integrated approach for failure analysis of natural gas transmission pipeline. CivilEng [Internet]. 2021;2(1):87–119. Available from: https://www.mdpi.com/journal/civileng
  16. Mahmoudkelaye S, Taghizade Azari K, Pourvaziri M, Asadian E. Sustainable material selection for building enclosure through ANP method. Case Stud Constr Mater [Internet]. 2018;9(e00200):e00200. Available from: http://dx.doi.org/10.1016/j.cscm.2018.e00200
  17. Swapna D, Rao CS, Kumar DS, Radhika S. AHP and TOPSIS based selection of aluminium alloy for automobile panels. J Mech Energy Eng [Internet]. 2019;3(1):43–50. Available from: http://dx.doi.org/10.30464/jmee.2019.3.1.43
  18. Shankar AN, Jagota V, Jamadon NH, Raffik R, Suneetha VL, Samori IA, et al. An AHP-TOPSIS approach for optimizing the mechanical performance of natural fiber-based green composites. Adv Mater Sci Eng [Internet]. 2022;2022:1–9. Available from: http://dx.doi.org/10.1155/2022/1263237
  19. Bhadra D, Dhar NR, Abdus Salam M. Sensitivity analysis of the integrated AHP-TOPSIS and CRITIC-TOPSIS method for selection of the natural fiber. Mater Today [Internet]. 2022;56:2618–29. Available from: http://dx.doi.org/10.1016/j.matpr.2021.09.178
  20. Avikal S, Kumar Singh A, Nithin Kumar KC, Kumar Badhotiya G. A fuzzy-AHP and TOPSIS based approach for selection of metal matrix composite used in design and structural applications. Mater Today [Internet]. 2021;46:11050–3. Available from: http://dx.doi.org/10.1016 /j.matpr.2021.02.161
  21. Sharma V, Meena ML, Kumar M, Patnaik A. Optimization of waste fly ash powder filled glass fiber reinforced epoxy composite by hybrid AHP-TOPSIS approach. Mater Today [Internet]. 2021;44:4789–94. Available from: http://dx.doi.org/10.1016/j.matpr.2020.11.394
  22. Yadav R, Lee HH. Ranking and selection of dental restorative composite materials using FAHP-FTOPSIS technique: An application of multi criteria decision making technique. J Mech Behav Biomed Mater [Internet]. 2022;132(105298):105298. Available from: http://dx.doi.org/10.1016/j. jmbbm.2022.105298
  23. Singh AK, Avikal S, Nithin Kumar KC, Kumar M, Thakura P. A fuzzy-AHP and M − TOPSIS based approach for selection of composite materials used in structural applications. Mater Today [Internet]. 2020;26:3119–23. Available from: http://dx.doi.org/10.1016/j.matpr.2020.02.644
  24. Raju SS, Murali GB, Patnaik PK. Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods. J Reinf Plast Compos [Internet]. 2020;39(19–20):721–32. Available from: http://dx.doi.org/10.1177/0731684420924833
Special Issue Open Access Original Research
Volume 12
Special Issue 06
Received 11/06/2024
Accepted 29/07/2024
Published 18/09/2024
183

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