Open Access
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
Article Number 01026
Number of page(s) 11
Published online 29 March 2024
  1. Dwivedi, S. P., Kumar, I., Sehgal, S., Gupta, N., & Saxena, K. K. (2023). Development of dissimilar AA2014 and AA2024 based composite with nano-Si3N4 reinforcement by friction stir process technique. Journal of Adhesion Science and Technology, 1–17. [Google Scholar]
  2. Naik, R., Prashantha, S. C., Nagabhushana, H., Sharma, S. C., Nagaswarupa, H. P., Anantharaju, K. S., … & Girish, K. M. (2016). Tunable white light emissive Mg2SiO4: Dy3+ nanophosphor: its photoluminescence, Judd–Ofelt and photocatalytic studies. Dyes and Pigments, 127, 25–36. [Google Scholar]
  3. Srivastava, A. K., Maurya, M., Saxena, A., Maurya, N. K., Dwivedi, S. P., & Dixit, A. R. (2021). Microstructural and fractographic analysis of A359/Si3N4 surface composite produced by friction stir processing. International journal of materials research, 112(1), 68–77. [Google Scholar]
  4. Shashi Prakash Dwivedi, S Selvaprakash, Shubham Sharma, Soni Kumari, Kuldeep K Saxena, Rajesh Goyal, Amjad Iqbal & Faramarz Djavanroodi (2023): Evaluation of various properties for spent alumina catalyst and Si3N4 reinforced with PET-based polymer composite, Mechanics of Advanced Materials and Structures, DOI: 10.1080/15376494.2023.2249888 [Google Scholar]
  5. Kumar, N., & Patel, V. K. (2020). Effect of SiC/Si3N4 micro-reinforcement on mechanical and wear properties of friction stir welded AA6061-T6 aluminum alloy. SN Applied Sciences, 2(9), 1572. [Google Scholar]
  6. SudhirSastry, Y. B., Krishna, Y., & Budarapu, P. R. (2015). Parametric studies on buckling of thin walled channel beams. Computational Materials Science, 96, 416–424. [Google Scholar]
  7. Sudhagar, S., & Gopal, P. M. (2022). Investigation on mechanical and tribological characteristics Cu/Si 3 N 4 surface composite developed through friction stir processing. Silicon, 1–10. [Google Scholar]
  8. Rathod, V. P., & Tanveer, S. (2009). Pulsatile flow of couple stress fluid through a porous medium with periodic body acceleration and magnetic field. Bulletin of the Malaysian Mathematical Sciences Society, 32(2). [Google Scholar]
  9. Mistry, J. M., & Gohil, P. P. (2019). Experimental investigations on wear and friction behaviour of Si3N4p reinforced heat-treated aluminium matrix composites produced using electromagnetic stir casting process. Composites Part B: Engineering, 161, 190–204. [Google Scholar]
  10. Dwivedi SP, Yadav AK, Saxena A, Dwivedi VK. Tribo-mechanical, physical and thermal behaviour of Al/Si3N4 composite with and without the addition of Cu, Ni and Cr entropy elements. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2023;0(0). doi:10.1177/09544089231189663 [Google Scholar]
  11. Manghnani, S., Shekhawat, D., Goswami, C., Patnaik, T. K., & Singh, T. (2021). Mechanical and tribological characteristics of Si3N4 reinforced aluminium matrix composites: A short review. Materials Today: Proceedings, 44, 4059–4064. [Google Scholar]
  12. Raji, A., Nesakumar, J. I. E. T., Mani, S., Perumal, S., Rajangam, V., Thirunavukkarasu, S., & Lee, Y. R. (2021). Biowaste-originated heteroatom-doped porous carbonaceous material for electrochemical energy storage application. Journal of Industrial and Engineering Chemistry, 98, 308–317. [Google Scholar]
  13. Samyal, R., Bagha, A. K., Bedi, R., Bahl, S., Saxena, K. K., & Sehgal, S. (2021). Predicting the effect of fiber orientations and boundary conditions on the optimal placement of PZT sensor on the composite structures. Materials Research Express, 8(7), 075302. [Google Scholar]
  14. Vinothkumar, H., Saravanakumar, S., Ramesh, C., Prakash, P., & Naveen, S. (2020). Investigation on Al2024 with Si3N4 and AlN composites using friction stir processing. Materials Today: Proceedings, 33, 3089–3092. [Google Scholar]
  15. Jisha, P. K., Prashantha, S. C., & Nagabhushana, H. (2017). Luminescent properties of Tb doped gadolinium aluminate nanophosphors for display and forensic applications. Journal of Science: Advanced Materials and Devices, 2(4), 437–444. [Google Scholar]
  16. Mohanavel, V., Ali, K. A., Prasath, S., Sathish, T., & Ravichandran, M. (2020). Microstructural and tribological characteristics of AA6351/Si3N4 composites manufactured by stir casting. Journal of Materials Research and Technology, 9(6), 14662–14672. [Google Scholar]
  17. Peddakrishna, S., & Khan, T. (2018). Design of UWB monopole antenna with dual notched band characteristics by using π-shaped slot and EBG resonator. AEU-International Journal of Electronics and Communications, 96, 107–112. [Google Scholar]
  18. Sanesh, K., Sunder, S. S., & Radhika, N. (2017). Effect of reinforcement content on the adhesive wear behavior of Cu10Sn5Ni/Si 3 N 4 composites produced by stir casting. International Journal of Minerals, Metallurgy, and Materials, 24, 1052–1060. [Google Scholar]
  19. Alrobei, H., Prashanth, M. K., Manjunatha, C. R., Kumar, C. P., Chitrabanu, C. P., Shivaramu, P. D., … & Raghu, M. S. (2021). Adsorption of anionic dye on eco-friendly synthesised reduced graphene oxide anchored with lanthanum aluminate: Isotherms, kinetics and statistical error analysis. Ceramics International, 47(7), 10322–10331. [Google Scholar]
  20. Dwivedi, S.P., Chaudhary, V. & Sharma, S. Effect of the Addition of Waste Glass Powder along with TiC as Reinforcement on Microstructure, Wettability, Mechanical and Tribological Behavior of AZ91D Magnesium Based Alloy. Inter Metalcast (2023). [Google Scholar]
  21. Raja, R., Jannet, S., Aby, J., & Dhas, D. E. J. (2022). Study of the mechanical, wear and corrosion behaviour of silicon nitride nanoparticles reinforced copper surface composite through friction stir processing. Engineering Research Express, 4(3), 035025. [Google Scholar]
  22. Bhukya, M. N., Kota, V. R., & Depuru, S. R. (2019). A simple, efficient, and novel standalone photovoltaic inverter configuration with reduced harmonic distortion. IEEE access, 7, 43831–43845. [Google Scholar]
  23. Ambigai, R., & Prabhu, S. (2017). Optimization of friction and wear behaviour of Al–Si3N4 nano composite and Al–Gr–Si3N4 hybrid composite under dry sliding conditions. Transactions of Nonferrous Metals Society of China, 27(5), 986–997. [Google Scholar]
  24. Kulandaivel, D., Rahamathullah, I. G., Sathiyagnanam, A. P., Gopal, K., & Damodharan, D. (2020). Effect of retarded injection timing and EGR on performance, combustion and emission characteristics of a CRDi diesel engine fueled with WHDPE oil/diesel blends. Fuel, 278, 118304. [Google Scholar]
  25. Naresh, M., & Munaswamy, P. (2019). Smart agriculture system using IoT technology. International journal of recent technology and engineering, 7(5), 98–102. [Google Scholar]
  26. Vennila, T., Surakasi, R., Raghuram, K. S., Ravi, G., Madhavarao, S., Udagani, C., & Sudhakar, M. (2022). Investigation on tensile behaviour of Al/Si3N4/sugarcane ash particles reinforced FSP composites. Materials Today: Proceedings, 59, 1266–1270. [Google Scholar]
  27. Hora, S. K., Poongodan, R., De Prado, R. P., Wozniak, M., & Divakarachari, P. B. (2021). Long short-term memory network-based metaheuristic for effective electric energy consumption prediction. Applied Sciences, 11(23), 11263. [Google Scholar]
  28. Shashi Prakash Dwivedi, Shubham Sharma, Changhe Li, Yanbin Zhang, Abhinav Kumar, Rajesh Singh, Sayed M. Eldin, Mohamed Abbas, Effect of nano-TiO2 particles addition on dissimilar AA2024 and AA2014 based composite developed by friction stir process technique, Journal of Materials Research and Technology, Volume 26, 2023, Pages 1872–1881, [Google Scholar]
  29. Kumar, B. A., Krishnan, M. M., Sahayaraj, A. F., Refaai, M. R. A., Yuvaraj, G., Madhesh, D., & Allasi, H. L. (2022). Characterization of the aluminium matrix composite reinforced with silicon nitride (AA6061/Si3N4) synthesized by the stir casting route. Advances in Materials Science and Engineering, 2022, 1–8. [Google Scholar]
  30. Indira, D. N. V. S. L. S., Ganiya, R. K., Ashok Babu, P., Xavier, A., Kavisankar, L., Hemalatha, S., … & Yeshitla, A. (2022). Improved artificial neural network with state order dataset estimation for brain cancer cell diagnosis. BioMed Research International, 2022. [Google Scholar]
  31. Raj, T. V., Hoskeri, P. A., Muralidhara, H. B., Manjunatha, C. R., Kumar, K. Y., & Raghu, M. S. (2020). Facile synthesis of perovskite lanthanum aluminate and its green reduced graphene oxide composite for high performance supercapacitors. Journal of Electroanalytical Chemistry, 858, 113830. [Google Scholar]
  32. Awasthi, A., Saxena, K. K., & Dwivedi, R. K. (2021). An investigation on classification and characterization of bio materials and additive manufacturing techniques for bioimplants. Materials Today: Proceedings, 44, 2061–2068. [Google Scholar]
  33. Parveen, A., Chauhan, N. R., & Suhaib, M. (2019). Study of Si3N4 reinforcement on the morphological and tribo-mechanical behaviour of aluminium matrix composites. Materials Research Express, 6(4), 042001. [Google Scholar]
  34. Ramprasad, P., Basavapoornima, C., Depuru, S. R., & Jayasankar, C. K. (2022). Spectral investigations of Nd3+: Ba (PO3) 2+ La2O3 glasses for infrared laser gain media applications. Optical Materials, 129, 112482. [Google Scholar]
  35. Dwivedi SP, Chaudhary V, Sharma S, Sharma S. Ultrasonic vibration effect in the development of Al/CCLW/alumina metal matrix composite to enhance mechanical properties. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2023;0(0). doi:10.1177/09544089231200467 [Google Scholar]
  36. Ul Haq, M. I., & Anand, A. (2018). Dry sliding friction and wear behavior of AA7075-Si 3 N 4 composite. Silicon, 10, 1819–1829. [Google Scholar]
  37. Yue, L., Jayapal, M., Cheng, X., Zhang, T., Chen, J., Ma, X., … & Zhang, W. (2020). Highly dispersed ultra-small nano Sn-SnSb nanoparticles anchored on N-doped graphene sheets as high performance anode for sodium ion batteries. Applied Surface Science, 512, 145686. [CrossRef] [Google Scholar]
  38. Parashuram, L., Sreenivasa, S., Akshatha, S., & Udayakumar, V. (2019). A non-enzymatic electrochemical sensor based on ZrO2: Cu (I) nanosphere modified carbon paste electrode for electro-catalytic oxidative detection of glucose in raw Citrus aurantium var. sinensis. Food chemistry, 300, 125178. [Google Scholar]
  39. Radhakrishnan, S., Khan, A., Dwivedi, S.P. et al. Studies on mechanical, thermal, and water immersion of plant and animal wastage nanofiller–based bio-fiber-reinforced composites. Biomass Conv. Bioref. (2023). [Google Scholar]
  40. Kumar, S. A., Vignesh, J. H., & Joshua, S. P. (2021). Investigating the effect of porosity on aluminium 7075 alloy reinforced with silicon nitride (Si3N4) metal matrix composites through STIR casting process. Materials Today: Proceedings, 39, 414–419. [Google Scholar]
  41. Jaidass, N., Moorthi, C. K., Babu, A. M., & Babu, M. R. (2018). Luminescence properties of Dy3+ doped lithium zinc borosilicate glasses for photonic applications. Heliyon, 4(3). [Google Scholar]
  42. Jayabal, R., Subramani, S., Dillikannan, D., Devarajan, Y., Thangavelu, L., Nedunchezhiyan, M., … & De Poures, M. V. (2022). Multi-objective optimization of performance and emission characteristics of a CRDI diesel engine fueled with sapota methyl ester/diesel blends. Energy, 250, 123709. [Google Scholar]
  43. Shashi Prakash Dwivedi, Shubham Sharma, B. Vijay Krishna, Pankaj Sonia, Kuldeep Kumar Saxena, Amjad Iqbal & Faramarz Djavanroodi (2023) Effect of the addition of TiB2 with waste glass powder on microstructure, mechanical and physical behavior of PET-based polymer composite material, Mechanics of Advanced Materials and Structures, DOI: 10.1080/15376494.2023.2239229 [Google Scholar]
  44. Sridhara, V., Gowrishankar, B. S., Snehalatha, & Satapathy, L. N. (2009). Nanofluids—a new promising fluid for cooling. Transactions of the Indian Ceramic Society, 68(1), 1–17. [Google Scholar]
  45. Dwivedi, S.P. (2023), “Development and characterization of grinding sludge-reinforced aluminum-based composite by friction stir process technique”, World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. [Google Scholar]
  46. Kumar, A., Rana, R. S., & Purohit, R. (2022). Investigation of wear and friction characteristic of Al/(Si3N4) np nano composites under as-cast and heat-treated conditions. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 09544089221112070. [Google Scholar]
  47. Siddhardh, K., Chandra, M. S., & Surya, S. (2020). An investigation on friction welding of tube to tube plate by using friction stir processing with CNT and Si3N4 composites. Materials Today: Proceedings, 22, 2452–2459. [Google Scholar]
  48. Shashi Prakash Dwivedi, Indradeep Kumar, Shankar Sehgal, Nakul Gupta & Kuldeep K. Saxena (2023) Development of dissimilar AA2014 and AA2024 based composite with nano-Si3N4 reinforcement by friction stir process technique, Journal of Adhesion Science and Technology, DOI: 10.1080/01694243.2023.2242111 [Google Scholar]
  49. Bhushan, R. K., & Sharma, D. (2020). Optimization of parameters for maximum tensile strength of friction stir welded AA6082/Si 3 N 4 and AA6082/SiC composite joints. Silicon, 12, 1195–1209. [Google Scholar]
  50. Jegan, G., Kavipriya, P., Sathish, T., Singaravelu, D., Samraj Lawrence, T., & Vino, T. (2021). Synthesis, mechanical, and tribological performance analysis of stir-casted AA7079: ZrO2+ Si3N4 hybrid composites by taguchi route. Advances in Materials Science and Engineering, 2021, 1–15. [Google Scholar]
  51. Stalin, B., Kumar, P. R., Ravichandran, M., & Saravanan, S. (2018). Optimization of wear parameters and their relative effects on stir cast AA6063-Si3N4 Composite. Materials Research Express, 5(10), 106502. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.