Nuclear Reactor Safety Using Fuel Pallet: A Study

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 15 | Issue : 03 | Page :
    By

    IR. Dr. Kazi Kutubuddin Sayyad Liyakat,

  • Ayesha Khalil Mulani,

  • Heena Tajuddin Shaikh,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmadanda Mane Institute of Technology, Solapur, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Brahmadanda Mane Institute of Technology, Solapur, Maharashtra, India
  3. Asst. Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

Nuclear power stands as a vital source of low-carbon electricity, but its widespread acceptance hinges critically on unwavering safety. While public perception often focuses on massive containment buildings, intricate cooling systems, and redundant backup power, a less visible yet fundamentally crucial component plays a paramount role in safety. There is much more to these tiny, cylindrical ceramic pellets than just fissionable material. As an essential part of a reactor’s defense-in-depth strategy, they are the first and maybe most important barriers preventing the release of radioactive materials into the environment. Defense-in-depth, as used in nuclear engineering, is a multi-layered safety philosophy where several separate barriers cooperate to either prevent accidents or lessen their effects. Fuel pellet serves as the foundation of this hierarchy, offering inherent safety before any manufactured safety features—like backup power, containment structures, or emergency core cooling—come into action. The humble nuclear fuel pellet. Far from being merely a source of fission, these tiny ceramic cylinders serve as the very first line of defense against the release of radioactive materials, embodying an often- underestimated layer of inherent safety in reactor design. The multi-layered defense-in-depth strategy is the cornerstone of any nuclear reactor’s safety concept. The main barrier is the fuel pellet itself, which operates before any well-designed safety mechanism or sturdy containment structure is even activated. These pellets, which are usually made of uranium dioxide (UO₂), are meticulously crafted with material qualities that can tolerate high temperatures, fend off damage from radiation, and preserve structural integrity in the face of harsh operating circumstances. By limiting the mobility of radioactive fission products and facilitating efficient heat conduction, their dense ceramic composition lowers the risk of their emission during both routine operation and possible accident scenarios. These dense, ceramic pellets are usually made of uranium dioxide (UO2). For safety, their intrinsic material qualities are carefully selected.

Keywords: Nuclear Reactor, Safety, Fuel Pallet, Accident Tolerant Fuels, cladding,

[This article belongs to Journal of Nuclear Engineering & Technology ]

How to cite this article:
IR. Dr. Kazi Kutubuddin Sayyad Liyakat, Ayesha Khalil Mulani, Heena Tajuddin Shaikh. Nuclear Reactor Safety Using Fuel Pallet: A Study. Journal of Nuclear Engineering & Technology. 2025; 15(03):-.
How to cite this URL:
IR. Dr. Kazi Kutubuddin Sayyad Liyakat, Ayesha Khalil Mulani, Heena Tajuddin Shaikh. Nuclear Reactor Safety Using Fuel Pallet: A Study. Journal of Nuclear Engineering & Technology. 2025; 15(03):-. Available from: https://journals.stmjournals.com/jonet/article=2025/view=232827


References

  1. Mulani AK, Shaikh HT, Liyakat KKS. Nuclear Power Generation Using UO2 Materials. J Adv Electr Eng Devices. 2025;3(2):27–40.
  2. Gaikwad A, Chendke A, Mulani N, Sarika M. Submersible Pump Theft Indicator. IEJRD – Int Multidiscip J. 2020;5(4):5.
  3. Raut A, Mali M, Mashale T, Kazi KKS. Bagasse Level Monitoring System. Int J Trend Sci Res Dev. 2018;2(3):1657–9.
  4. Hotkar PR, Kulkarni V, et al. Implementation of Low Power and Area Efficient Carry Select Adder. Int J Res Eng Sci Manag. 2019;2(4):183–
  5. Kazi KS. Detection of Malicious Nodes in IoT Networks Based on Throughput and ML. J Electr Power Syst Eng. 2023;9(1):22–9.
  6. Karale N, Jadhav S, et al. Design of Vehicle System Using CAN Protocol. Int J Res Appl Sci Eng Technol. 2020;8(V):1978–83.
  7. Kazi K. Lassar Methodology for Network Intrusion Detection. Scholarly Res J Humanit Sci Engl Lang. 2017;4(24):6853–61.
  8. Argonda UA. Review Paper for Design and Simulation of a Patch Antenna by Using HFSS. Int J Trends Sci Res Dev. 2018;2(2):158–60.
  9. Kazi K. Hybrid Optimum Model Development to Determine the Break. J Multimed Technol Recent Adv. 2022;9(2):24–32.
  10. Shirdale Y, et al. Analysis and Design of Capacitive Coupled Wideband Microstrip Antenna in C and X Band: A Survey. J GSD-Int Soc Green Sustain Eng Manag. 2014;1(15):1–7.
  11. Nagare S, et al. Different Segmentation Techniques for Brain Tumor Detection: A Survey. MM-Int Soc Green Sustain Eng Manag. 2014;1(14):29–35.
  12. Kazi K. Reverse Engineering’s Neural Network Approach to Human Brain. J Commun Eng Syst. 2022;12(2):17–24.
  13. Kumtole S, et al. Automatic Wall Painting Robot. J Image Process Intell Remote Sens. 2022;2(6).
  14. Kadam A, et al. Email Security. J Image Process Intell Remote Sens. 2022;2(6).
  15. Kapse MM, et al. Smart Grid Technology. Int J Inf Technol Comput Eng. 2022;2(6).
  16. Satpute PV, Mali P, et al. Smart Safety Device for Women. Int J Aquat Sci. 2022;13(1):556–60.
  17. Tadlagi PM, et al. Depression Detection. J Ment Health Issues Behav. 2022;2(6):1–7.
  18. Waghmare M, et al. Smart Watch System. Int J Inf Technol Comput Eng. 2022;2(6):1–9.
  19. Halli UM. Voltage Sag Mitigation Using DVR and Ultra Capacitor. J Semicond Devices Circuits. 2022;9(3):21–31.
  20. Dhanve P, Liyakat KKS. Machine Learning Forges a New Future for Metal Processing: A Study. Int J Artif Intell Mech Eng. 2025;1(1):1–12.
  21. Patil JM. Robotic Surgery Using AI-Driven-IoT Based Decision Making for Safety: A Study. Int J Artif Intell Things Commun Ind. 2025;1(1):35–44.
  22. Patil JM, Velapure AS, Khadake SB. The Intersection of Nanotechnology and IoT: New Era of Connectivity. Int J Appl Nanotechnol. 2025;11(1):9–17.
  23. Mulla NR, Liyakat KKS. Node MCU and IoT Centered Smart Logistics. Int J Emerg IoT Technol Smart Electron Commun. 2025;1(1):20–36.
  24. Todakar RD, Jadhav VK. Kinetic Power Gyms for Revolutionizing Fitness. J Telecommun Switch Syst Netw. 2025;12(2):13–21.
  25. Shaik HR, Liyakat KKS. Juncture of Nanotechnology and IoT: Novel Era of Connectivity. Nano Trends – J Nano Technol Its Appl. 2025;27(3).
Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 20/08/2025
Accepted 29/09/2025
Published 22/11/2025
Publication Time 94 Days
74

Login


My IP

PlumX Metrics