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Wear resistivity and ANFIS modeling for hybrid aluminum metal matrix composites at elevated temperatures

  • Mr. Periyasamy Chakravarthi is currently working as an Assistant Professor in the Faculty of Mechanical Engineering at K.S.R. College of Engineering, Tiruchengode. He received his post graduate degree in Engineering Design and Undergraduate degree in the department of Mechanical Engineering. He has published number of preferred journals. His current area of research focuses on the Material science especially on the metallic materials and Material informatics.

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    Dr. Arumugam Kumaravel is currently a professor in the faculty of Mechanical Engineering, K.S. Rangasamy College of Technology, Tiruchengode, Namakkal. He received his Ph.D as well as M.Tech from Indian Institute of Technology, Madras, and completed his undergraduate from Government College of Engineering, Salem. He has published a number of International Journals and acting as reviewer for renowned journals. He has received government funding’s as research grants over 1 crore. His area of research includes Smart materials, functionally graded materials, and Composite materials.

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    Dr. Velusamy Mohankumar is currently working as an Assistant Professor in the Faculty of Mechatronics Engineering at Akshaya College of Engineering and Technology, Coimbatore. He received his post graduate degree in Engineering Design and Undergraduate degree in the department of Mechanical Engineering. He has published number of preferred journals. His current area of research focuses on the Material science especially on the metallic materials and Material informatics.

Published/Copyright: December 16, 2025
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Abstract

Hybrid aluminium metal matrix composites (HAMMCs) are increasingly popular in aerospace and automotive sectors because of their incomparable properties. This study investigates the wear characteristics of stir cast AA7075 reinforced with 2–4 wt.% of titanium diboride (TiB2), boron carbide (B4C) and a constant 2 wt.% of molybdenum disulfide (MoS2) as a solid lubricant. Wear tests were conducted at elevated temperatures (100–200 °C), applied loads (10–30 N), sliding distances (500–1500 m) and sliding velocities (2–6 m s−1). Taguchi L27 orthogonal array was employed for experimental design to evaluate the influence of process parameters on the response variables. The worn surface characteristics, wear mechanism and microstructural features were examined by field emission scanning electron microscopy (FESEM) equipped with energy dispersive X-ray spectroscopy (EDX). Additionally, elemental mapping confirmed the homogeneous reinforcement distribution and enhanced the composite structural integrity. The friction force, wear rate and coefficient of friction (CoF) were predicted by using adaptive neuro-fuzzy inference system (ANFIS). Results showed high predictive accuracy, with ANFIS achieving 99.99 % for wear rate, 99.89 % for friction force and 98.71 % for CoF, validating the model against experimental and Taguchi outcomes. These findings underline HAMMCs potential for high performance applications in challenging environments.


Corresponding author: Arumugam Kumaravel, Faculty of Mechanical Engineering, K.S.Rangasamy College of Technology, Namakkal, Tiruchengode, India, E-mail:

About the authors

Periyasamy Chakravarthi

Mr. Periyasamy Chakravarthi is currently working as an Assistant Professor in the Faculty of Mechanical Engineering at K.S.R. College of Engineering, Tiruchengode. He received his post graduate degree in Engineering Design and Undergraduate degree in the department of Mechanical Engineering. He has published number of preferred journals. His current area of research focuses on the Material science especially on the metallic materials and Material informatics.

Arumugam Kumaravel

Dr. Arumugam Kumaravel is currently a professor in the faculty of Mechanical Engineering, K.S. Rangasamy College of Technology, Tiruchengode, Namakkal. He received his Ph.D as well as M.Tech from Indian Institute of Technology, Madras, and completed his undergraduate from Government College of Engineering, Salem. He has published a number of International Journals and acting as reviewer for renowned journals. He has received government funding’s as research grants over 1 crore. His area of research includes Smart materials, functionally graded materials, and Composite materials.

Velusamy Mohankumar

Dr. Velusamy Mohankumar is currently working as an Assistant Professor in the Faculty of Mechatronics Engineering at Akshaya College of Engineering and Technology, Coimbatore. He received his post graduate degree in Engineering Design and Undergraduate degree in the department of Mechanical Engineering. He has published number of preferred journals. His current area of research focuses on the Material science especially on the metallic materials and Material informatics.

Acknowledgments

The authors would like to thank the K.S.Rangasamy College of Technology, Thiruchengode, Tamil Nadu, India for machinery and equipment support. The author would like to thank the All India Council for Technical Education (AICTE), New Delhi for the equipment support (Grant No: 9-240/IDC/MODROB/Policy-1/2019-20 dt. 20.07.2020) under MODROB Scheme.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Periyasamy Chakravarthi, Arumugam Kumaravel and Velusamy Mohankumar.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

  6. Research funding: None declared.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

References

[1] D. Sudarsan, A. Bovas Herbert Bejaxhin, and S. Raj Kumar, “Investigating the mechanical and tribological properties of AA 7075 hybrid metal matrix composite with ZrO2 and Al2O3,” J. Phys.: Conf. Ser., vol. 2837, no. 1, 2024, Art. no. 012042, https://doi.org/10.1088/1742-6596/2837/1/012042.Search in Google Scholar

[2] M. Y. Khalid, R. Umer, and K. A. Khan, “Review of recent trends and developments in aluminium 7075 alloy and its metal matrix composites (MMCs) for aircraft applications,” Results Eng., vol. 20, 2023, Art. no. 101372, https://doi.org/10.1016/j.rineng.2023.101372.Search in Google Scholar

[3] S. R. Biswal and S. Sahoo, “Structural and morphological behavior of Al-based hybrid composites reinforced by SiC and WS2 inorganic material,” Mater. Test., vol. 67, no. 1, pp. 87–98, 2025, https://doi.org/10.1515/mt-2024-0248.Search in Google Scholar

[4] G. Kishore, A. Parthiban, A. M. Krishnan, B. R. Krishnan, and V. Vijayan, “Experimental investigation of mechanical and wear properties of AL7075/Al2O3/MICA hybrid composite,” J. Inorg. Organomet. Polym. Mater., vol. 31, no. 3, pp. 1026–1034, 2021. https://doi.org/10.1007/s10904-020-01749-6.Search in Google Scholar

[5] M. Maurya, A. Maurya, and S. Kumar, “Tensile strength of friction stir additive manufactured laminated AA 6061/TiC/GS composites,” Mater. Test., vol. 66, no. 11, pp. 1804–1819, 2024, https://doi.org/10.1515/mt-2024-0073.Search in Google Scholar

[6] N. Ramadoss, K. Pazhanivel, A. Ganeshkumar, and M. Arivanandhan, “Microstructural, mechanical and corrosion behaviour of B4C/BN-reinforced Al7075 matrix hybrid composites,” Int. J. Metalcast., vol. 17, no. 1, pp. 499–514, 2023. https://doi.org/10.1007/s40962-022-00791-z.Search in Google Scholar

[7] B. Siddharthan and A. Kumaravel, “Wear behaviour of titanium diboride and zirconium carbide reinforced LM13 hybrid composite for automotive applications,” Mater. Test., vol. 66, no. 11, pp. 1829–1842, 2024, https://doi.org/10.1515/mt-2024-0143.Search in Google Scholar

[8] S. Dinesh Kumar, M. Ravichandran and M. Meignanamoorthy, “Aluminium metal matrix composite with zirconium diboride reinforcement: a review,” Mater. Today: Proc., vol. 5, no. 9, Part 3, pp.19844–19847, 2018. https://doi.org/10.1016/j.matpr.2018.06.348.Search in Google Scholar

[9] R. MalkiyaRasalin Prince, D. Arulkirubakaran, S. Christopher Ezhil Singh, C. Prabha, and I. Darwin Immanuel, “Effect of ZrB2 and ZrC and mixing method on mechanical properties and wear behaviour of Al7075 based composites for aircraft aerofoil surfaces,” J. Alloy. Metall. Syst., vol. 8, 2024, Art. no. 100118, https://doi.org/10.1016/j.jalmes.2024.100118.Search in Google Scholar

[10] A. Bhowmik et al.., “Analysis of physical, mechanical and tribological behavior of Al7075-fly ash composite for lightweight applications,” Int. J. Interact. Des. Manuf., vol. 18, no. 6, pp. 3699–3712, 2024. https://doi.org/10.1007/s12008-023-01583-3.Search in Google Scholar

[11] M. Sambathkumar, R. Gukendran, T. Mohanraj, D. K. Karupannasamy, N. Natarajan, and D. S. Christopher, “A systematic review on the mechanical, tribological, and corrosion properties of Al 7075 metal matrix composites fabricated through stir casting process,” Adv. Mater. Sci. Eng., vol. 2023, no. 1, 2023, Art. no. 5442809, https://doi.org/10.1155/2023/5442809.Search in Google Scholar

[12] P. Chakaravarthi, A. Kumaravel, and K. Umamaheswari, “Tribological properties of aluminium metal matrix composites at various temperatures – a review”, Interactions, vol. 245, no. 1, 2024, Art. no. 203, https://doi.org/10.1007/s10751-024-02044-3.Search in Google Scholar

[13] S.-S. Li et al.., “Development and applications of aluminium alloys for aerospace industry,” J. Mater. Res. Technol., vol. 27, pp. 944–983, 2023, https://doi.org/10.1016/j.jmrt.2023.09.274.Search in Google Scholar

[14] B. Siddharthan and A. Kumaravel, “Identifying stir casting process parameters to maximize strength of LM13 with TiB2 and ZrC hybrid metal matrix composite,” Mater. Test., vol. 66, no. 1, pp. 117–128, 2024, https://doi.org/10.1515/mt-2023-0193.Search in Google Scholar

[15] S. Kamatchisankaran, A. Bovas Herbert Bejaxhin, K. Ramkumar, and N. Ramanan, “Influences of hardened aluminium HMMC on tribological, flexural and impact strength of wheel rim element with prognostications,” Arch. Metall. Mater., vol. 69, no. 3, pp. 1015–1025, 2024, https://doi.org/10.24425/amm.2024.150922.Search in Google Scholar

[16] K. Harshavardhan Reddy, N. Manikandan, P. Thejasree, and P. Pramod Kumar, “Preparation and evaluation of mechanical properties of Al 7075 with B4C and coconut shell fly ash hybrid MMC by powder metallurgy,” Mater. Today: Proc., 2023, https://doi.org/10.1016/j.matpr.2023.04.612.Search in Google Scholar

[17] Y. Bayrak, “Influence of SiC content on the properties of Al/SiC composites produced by powder metallurgical route,” Mater. Test., vol. 66, no. 12, pp. 2011–2017, 2024, https://doi.org/10.1515/mt-2024-0296.Search in Google Scholar

[18] S. Singh, S. Singh, H. S. Farwaha, J. S. Grewal, and N Ranjan, “Investigation and development of aluminium matrix composite reinforced with silicon carbide using process of stir casting,” Mater. Today: Proc., 2022, https://doi.org/10.1016/j.matpr.2022.11.124.Search in Google Scholar

[19] M. V. Raja and K Manonmani, “Mechanical and tribological characteristics of aluminium hybrid composites reinforced with Boron carbide and titanium diboride,” Ceram. Silik., vol. 66, no. 3, pp. 396–406, 2022, https://doi.org/10.13168/cs.2022.0035.Search in Google Scholar

[20] R. M. R. Prince et al.., “Mechanical and wear behaviour of TiB2-B4C reinforced Al7075 alloy hybrid composites for aerospace applications,” Adv. Mater. Process. Technol., vol. 8, no. 4, pp. 4209–4228, 2022, https://doi.org/10.1080/2374068X.2022.2050043.Search in Google Scholar

[21] A. Bhowmik, D. Dey, and A. Biswas, “Comparative study of microstructure, physical and mechanical characterization of SiC/TiB2 reinforced aluminium matrix composite,” Silicon, vol. 13, no. 6, pp. 2003–2010, 2021, https://doi.org/10.1007/s12633-020-00591-2.Search in Google Scholar

[22] S. Liu, Y. Wang, T. Muthuramalingam, and G. Anbuchezhiyan, “Effect of B4C and MoS2 reinforcement on micro structure and wear properties of aluminium hybrid composite for automotive applications,” Compos. Part B. Eng., vol. 176, no. 1, 2019 Art. no. 107329, https://doi.org/10.1016/j.compositesb.2019.107329.Search in Google Scholar

[23] H. B. Michael Rajan, S. Ramabalan, I. Dinaharan, and S. J. Vijay, “Effect of TiB2 content and temperature on sliding wear behavior of AA7075/TiB2 in situ aluminium cast composites,” Arch. Civ. Mech. Eng., vol. 14, no. 1, pp. 72–79, 2014, https://doi.org/10.1016/j.acme.2013.05.005.Search in Google Scholar

[24] S. Shin et al.., “High temperature mechanical properties and wear performance of B4C/Al7075 metal matrix composites,” Metals, vol. 9, no. 10, 2019, https://doi.org/10.3390/met9101108.Search in Google Scholar

[25] R. Ashok Kumar and A. Devaraju, “Modeling of mechanical properties and high temperature wear behavior of Al7075/SiC/CRS composite using RSM,” Silicon, vol. 13, no. 10, pp. 3499–3519, 2021. https://doi.org/10.1007/s12633-020-00801-x.Search in Google Scholar

[26] M. I. Ul Haq and A. Anand, “Dry sliding friction and wear behavior of AA7075-Si3N4 composite,” Silicon, vol. 10, no. 5, pp. 1819–1829, 2018. https://doi.org/10.1007/s12633-017-9675-1.Search in Google Scholar

[27] Z. R. Yang, Y. Sun, X. X. Li, S. Wang, and T. Mao, “Dry sliding wear performance of 7075 Al alloy under different temperatures and load conditions,” Rare Met., vol. 41, no. 3, pp. 1057–1062, 2022. https://doi.org/10.1007/s12598-015-0504-7.Search in Google Scholar

[28] M. A. Martinez, A. Martin, and J. Llorca, “Wear of Al-Si alloys and Al-Si/Sic composites at ambient and elevated temperatures,” Scr. Metall., vol. 28, no. 2, pp. 207–212, 1993. https://doi.org/10.1016/0956-716X(93)90564-9.Search in Google Scholar

[29] R. S. Sankara Raju, M. K. Panigrahi, R. I. Ganguly, and G. Srinivasa Rao, “Tribological behaviour of al-1100-coconut shell ash (CSA) composite at elevated temperature,” Tribol. Int., vol. 129, no. 1, pp. 55–66, 2018. https://doi.org/10.1016/j.triboint.2018.08.011.Search in Google Scholar

[30] S. Shin et al.., “High temperature mechanical properties and wear performance of B4C/Al7075 metal matrix composites,” Metals, vol. 9, no. 10, 2019, Art. no. 1108, https://doi.org/10.3390/met9101108.Search in Google Scholar

[31] Y. Bai, Y. Guo, J. Li, Z. Yang, and J. Tian, “Effect of Al2O3 nanoparticle reinforcement on the mechanical and high-temperature tribological behavior of Al-7075 alloy,” Proc. Inst. Mech. Eng. Part J.: J. Eng. Tribol., vol. 231, no. 7, pp. 900–909, 2017, https://doi.org/10.1177/1350650116683627.Search in Google Scholar

[32] M. Babar Pasha, R. Narasimha Rao, S. Ismail, M. Gupta, and S. Prasad, “Tribo-informatics approach to predict wear and friction coefficient of Mg/Si3N4 composites using machine learning techniques,” Tribol. Int., vol. 196, no. 8, 2024, Art. no. 109696, https://doi.org/10.1016/j.triboint.2024.109696.Search in Google Scholar

[33] M. S. Hasan, A. Kordijazi, P. K. Rohatgi, and M. Nosonovsky, “Triboinformatic modeling of dry friction and wear of aluminum base alloys using machine learning algorithms,” Tribol. Int., vol. 161, no. 9, 2021, Art. no. 107065, https://doi.org/10.1016/j.triboint.2021.107065.Search in Google Scholar

[34] P. S. Sivasakthivel and R. Sudhakaran, “Estimation of optimal process parameters for minimum wear in the application of SiC/RHA reinforced Al7075 hybrid composites using ANN, ANFIS, and GA,” Proc. Inst. Mech. Eng. Part E.: J. Proc. Mech. Eng., 2024, https://doi.org/10.1177/09544089241257229.Search in Google Scholar

[35] S. Lakshmi Narayana and V. Gopalan, “Mechanical characterization of particle reinforced jute fiber composite and development of hybrid Grey-ANFIS predictive model,” J. Nat. Fibers, vol. 20, no. 1, 2023, Art. no. 2167033, https://doi.org/10.1080/15440478.2023.2167033.Search in Google Scholar

[36] M. Saleh, S. Anwar, A. M. Al-Ahmari, and A. Y. AlFaify, “Prediction of mechanical properties for carbon fiber/PLA composite lattice structures using mathematical and ANFIS models,” Polymers, vol. 15, no. 7, 2023, Art. no. 1720, https://doi.org/10.3390/polym15071720.Search in Google Scholar PubMed PubMed Central

[37] R. Ashok Raj, R. Pavendhan, and B. Kumaragurubaran, “Investigation into tribological behavior of AL7075 and AL7075 hybrid composites,” Trans. FAMENA, vol. 44, no. 2, pp. 83–94, 2020, https://doi.org/10.21278/tof.44208.Search in Google Scholar

[38] J. Prakash, S. Gopalakannan, and V. K. Chakravarthy, “Mechanical characterization studies of aluminium alloy 7075 based nano composites,” Silicon, vol. 14, no. 4, pp. 1683–1694, 2022. https://doi.org/10.1007/s12633-021-00979-8.Search in Google Scholar

[39] M. Prabhu Deva, A. Parthiban, B. Radha Krishnan, A. Haile, and W. Degife, “Investigation of wear behaviour and mechanical properties of titanium diboride reinforced AMMC composites,” Adv. Mat. Sci. Eng., vol. 2022, no.1, 2022, Art. no. 5144010, https://doi.org/10.1155/2022/5144010.Search in Google Scholar

[40] B. Durakovic, “Design of experiments application, concepts, examples: State of the art period,” Eng. Nat. Sci., vol. 5, no. 3, pp. 421–439, 2017, https://doi.org/10.21533/pen.v5i3.145.Search in Google Scholar

[41] S. Miladinovic, S. Gajević, S. Savić, I. Miletić, B. Stojanović, and A. Vencl, “Tribological behaviour of hypereutectic Al-Si composites: A multi-response optimization approach with ANN and Taguchi grey method,” Lubricants, vol. 12, no. 2, 2024, Art. no. 61, https://doi.org/10.3390/lubricants12020061.Search in Google Scholar

[42] V. Mohankumar et al.., “Process parameters optimization of EDM for hybrid aluminium MMC using hybrid optimization technique,” Heliyon, vol. 10, no. 15, 2024, https://doi.org/10.1016/j.heliyon.2024.e35555.Search in Google Scholar PubMed PubMed Central

[43] J. S. Jang, “ANFIS: Adaptive-network-based fuzzy inference system,” IEEE Trans. Syst. Man. Cybern., vol. 23, no. 3, pp. 665–685, 1993, https://doi.org/10.1109/21.256541.Search in Google Scholar

[44] U. Çaydaş, A. Hasçalık, and S. Ekici, “An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM,” Expert. Syst. Appl., vol. 36, no. 3, Part. 2, pp. 6135–6139, 2009, https://doi.org/10.1016/j.eswa.2008.07.019.Search in Google Scholar

[45] I. Buj-Corral, P. Sender, and J. Carmelo, C. J. Luis-Pérez, “Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems,” Tribol. Int., vol. 182, no. 4, 2023, Art. no. 108354, https://doi.org/10.1016/j.triboint.2023.108354.Search in Google Scholar

[46] S. O. Sada and S. C. Ikpeseni, “Evaluation of ANN and ANFIS modeling ability in the prediction of AISI 1050 steel machining performance,” Heliyon, vol. 7, no. 2, 2021, Art.no. e06136, https://doi.org/10.1016/j.heliyon.2021.e06136.Search in Google Scholar PubMed PubMed Central

[47] M. S. Surya, G. Prasanthi, and S. K. Gugulothu, “Investigation of mechanical and wear behaviour of Al7075/SiC composites using response surface methodology,” Silicon, vol. 13, no. 7, pp. 2369–2379, 2021, https://doi.org/10.1007/s12633-020-00854-y.Search in Google Scholar

[48] M. V. Raja and K. Manonmani, “Mechanical and tribological characteristics of aluminium hybrid composites reinforced with Boron Carbide and titanium diboride,” Ceram. Silik., vol. 66, no. 3, pp. 396–406, 2022, https://doi.org/10.13168/cs.2022.0035.Search in Google Scholar

[49] R. H. Estrada-Ruiza et al.., “Wear resistance analysis of the aluminum 7075 alloys and the nanostructured aluminium 7075 – silver nanoparticles composites,” J. Min. Metall. B Metall., vol. 52, no. 2, pp. 163–170, 2016.10.2298/JMMB150103011ESearch in Google Scholar

[50] The MathWorks Inc, Fuzzy Logic ToolboxTM User’s Guide© Copyright 1995–2020 by The MathWorks, Inc. n.d.Search in Google Scholar

[51] M. Versaci et al.., “Standard soft computing techniques for characterization of defects in nondestructive evaluation,” in Ultrasonic Nondestructive Evaluation Systems, P. Burrascano, S. Callegari, A. Montisci, M. Ricci, and M. Versaci, Eds., Cham., Springer, 2014, pp. 175–199.10.1007/978-3-319-10566-6_6Search in Google Scholar

[52] O. A. Egaji, A. Griffiths, M. S. Hasan, and H. N. Yu, “A comparison of Mamdani and Sugeno fuzzy based packet scheduler for MANET with a realistic wireless propagation model,” Int. J. Autom. Comput., vol. 12, no. 1, pp. 1–13, 2015. https://doi.org/10.1007/s11633-014-0861-y.Search in Google Scholar

Published Online: 2025-12-16
Published in Print: 2026-02-24

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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