Open Access
Issue
EPJ Web Conf.
Volume 345, 2026
4th International Conference & Exposition on Materials, Manufacturing and Modelling Techniques (ICE3MT2025)
Article Number 01047
Number of page(s) 11
DOI https://doi.org/10.1051/epjconf/202634501047
Published online 07 January 2026
  1. N. Yilmaz, E. Baltaci, O. Baygin, T. Tüzüner, S. Ozkaya, A. Canakci, Effect of the usage of Er,Cr:YSGG laser with and without different remineralization agents on the enamel erosion of primary teeth, Lasers Med Sci 35 (2020) 1607–1620. https://doi.org/10.1007/s10103-020-03015-0. [Google Scholar]
  2. A. Kumar, M.V.N.V. Satyanarayana, P.R. Mattli, A. Bhowmik, Enhanced Performance of AA7075/SiC/ZrC Hybrid Composite through Microwave Assisted Powder Metallurgy Techniques, J Mater Eng Perform 34 (2025) 4336–4349. https://doi.org/10.1007/s11665-024-09405-7. [Google Scholar]
  3. K.V. Reddy, C.R. Reddy, Microstructural, mechanical and damping analysis of Al/Gr composites produced via friction stir processing: effect of rotational speed, Canadian Metallurgical Quarterly (2025) 1–10. https://doi.org/10.1080/00084433.2025.2508105. [Google Scholar]
  4. K. Venkateswara Reddy, Dynamic mechanical and microstructural analysis of graphite- reinforced Al6061 alloy processed by friction stir processing, J Adhes Sci Technol (2025) 1–11. https://doi.org/10.1080/01694243.2025.2508752. [Google Scholar]
  5. S. Thapliyal, R. Mamedipaka, Investigating the performance of aluminium-steel bimetallic structure fabricated through Wire and Arc Additive Manufacturing with interlayer approach, Structures 72 (2025). https://doi.org/10.1016/j.istruc.2025.108304. [Google Scholar]
  6. H. Yu, Q. Zhao, J. Fu, Y. Hu, J. Liang, J. Li, W. Xu, The design of oxidation resistant Ni superalloys for additive manufacturing, Addit Manuf 97 (2025) 104616. https://doi.org/10.1016/j.addma.2024.104616. [Google Scholar]
  7. V.S.S. Venkatesh, P.R. Vundavilli, M.M. Mahapatra, A. Goyal, A. Bhowmik, Extraction of kaolin and tribo informative analysis of the Al-kaolin composite through machine learning approaches, Sci Rep 15 (2025) 13370. https://doi.org/10.1038/s41598-025- 97782-x. [Google Scholar]
  8. K. Liu, L. Zhang, L. Cao, T. Wang, J. Fu, J. Wang, J. Zhang, X. Yang, Y. Cao, B. Liu, X. Li, Y. Gan, Binder jetting additive manufacturing of a 95W-3.5Ni-1.5Fe tungsten heavy alloy: Enhanced ductility and dynamic deformation mechanisms, Materials Science and Engineering: A 942 (2025) 148719. https://doi.org/10.1016/j.msea.2025.148719. [Google Scholar]
  9. A. Kumar, Exploring the Effects of Ball Milling and Microwave Sintering on Microstructural and Mechanical Behavior of AA7075/SiC/ZrO2 Hybrid Composites, Silicon (2024). https://doi.org/10.1007/s12633-024-02856-6. [Google Scholar]
  10. M.V.N.V. Satyanarayana, S.R. Maity, K.M. Pandey, V. Reddy, B. Pasha Mahammod, Effect of fabrication techniques on mechanical and microstructural behavior of AA7075/SiC/ZrC hybrid composite, Ceram Int 49 (2023) 37782–37792. https://doi.org/10.1016/j.ceramint.2023.09.106. [Google Scholar]
  11. M.V.N. V Satyanarayana, V.K.S. Jain, K.K. Kumar, A. Kumar, S. Sundar, Influence of Cooling Media on the Electrochemical Behavior of Friction Stir Processed Al2014 Alloy, JOM 75 (2023) 526–536. https://doi.org/10.1007/s11837-022-05611-7. [Google Scholar]
  12. Vaishali, From fabrication to prediction: unraveling the tensile strength of Al/SiN composites through machine learning, International Journal on Interactive Design and Manufacturing (IJIDeM) (2025). https://doi.org/10.1007/s12008-025-02274-x. [Google Scholar]
  13. G. Manohar, Machine learning approaches for tensile strength prediction in Al/B4C metal matrix composites: a comparative analysis of neural networks and ensemble methods, International Journal on Interactive Design and Manufacturing (IJIDeM) (2025). https://doi.org/10.1007/s12008-025-02347-x. [Google Scholar]
  14. R. Kumar, P. Mastanaiah, A. Kumar, Microstructural Characterization and Mechanical Properties of Wire and Arc Additively Manufactured 18% Ni Maraging Steel 250, J Mater Eng Perform (2025). https://doi.org/10.1007/s11665-025-12339-3. [Google Scholar]
  15. A. Bhowmik, A.J. Santhosh, Predictive Modelling of Tensile Strength and Hardness of Microwave Assisted AA7075/Sic Composite Through Supervised Machine Learning Algorithms, Results in Engineering (2025) 107793. https://doi.org/10.1016/j.rineng.2025.107793. [Google Scholar]

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