Thermal Conductivity of Liquid Lead for the Fast Nuclear Reactor Coolant, Calculated by the Green-Kubo Method Using Molecular Dynamics Simulation
DOI:
10.29303/jppipa.v9i12.6102Published:
2023-12-20Issue:
Vol. 9 No. 12 (2023): DecemberKeywords:
Green-kubo, Molecular dynamics, Molten liquid lead, Thermal conductivityResearch Articles
Downloads
How to Cite
Downloads
Metrics
Abstract
Comprehensive information about nuclear reactor coolant materials for application in heat-transfer systems is very important. One important physical property that needs to be known is the thermal conductivity. The goal of this work is to predict the thermal conductivity value of the liquid lead, which is one of the important candidates for cooling materials for Gen-IV fast nuclear reactor designs. The thermal conductivity of liquid lead in this study was predicted using the Green-Kubo scheme and the molecular dynamics (MD) computational method to collect the simulation data. The MD simulation was done in the NVT ensemble, using the Lennard-Jones interaction potential. We observe the thermal conductivity of the liquid lead can be studied based on the diffusion physical process. The thermal conductivity of the liquid lead obtained from this research is λ = 0.0113T + 8.8539 [W/mK]. As a conclusion, this result is very suitable, compared with the available experimental data, then the Green-Kubo method can be used to calculate the thermal conductivity of liquid metal as lead.
References
Anbiya, K., Muhibbudin, Khaldun, I., & Yusrizal. (2023). Integration of Problem-Based Learning Model with Guided Inquiry Worksheet to Enhance Scientific Process Skills and Critical Thinking Abilities. Jurnal Penelitian Pendidikan IPA, 9(10), 8328–8334. https://doi.org/10.29303/jppipa.v9i10.4724
Arkundato, A., Monado, F., Sugihartono, I., Rivai, A. K., & Su’ud, Z. (2022). Diffusion coefficient calculation of iron in liquid lead using molecular dynamics method with new mixing rule for Lennard-Jones potential parameters. Kuwait Journal of Science, 50(3B), 1–15. https://doi.org/10.48129/kjs.17205
Cheong, K. S. (2004). Thermal Conductivity of Argon from the Green- Kubo Method. Retrieved from https://courses.physics.illinois.edu/phys466/sp2013/projects/2004/Team1/index.html
Collier, J. G. (2011). Coolants, Reactor. In A-to-Z Guide to Thermodynamics, Heat and Mass Transfer, and Fluids Engineering. Begellhouse. https://doi.org/10.1615/AtoZ.c.coolants_reactor
Fitri, R., Nasir, M., & Fakhruddin. (2023). Efforts to Improve Science Process and Collaboration Skills with the Implementation of the REACT Learning Model on Students. Jurnal Penelitian Pendidikan IPA, 9(10), 8301–8307. https://doi.org/10.29303/jppipa.v9i10.5170
Hidayati, H., Ningsi, A. W., & Iskandar, A. M. (2023). Design and Validity of Student Worksheet Integrated Scientific Literacy for The Use of Physics Practicum KIT. Jurnal Penelitian Pendidikan IPA, 9(1), 384–389. https://doi.org/10.29303/jppipa.v9i1.2887
Imanullah, M. A. B., Arkundato, A., & Purwandari, E. (2018). Density of Liquid Lead as Function of Temperature and Pressure Based on the Molecular Dynamics Method. Computational And Experimental Research In Materials And Renewable Energy, 1(1), 1. https://doi.org/10.19184/cerimre.v1i1.19541
Imron, Su’ud, Z., & Pasek, A. D. (2010). Source Term Calculation of Small Pb-Bi Cooled Non-Refueling Nuclear Power Reactor 20 MWe (SPINNOR 20MWe. Indonesian Journal of Physics, 21(2), 61. https://doi.org/10.5614/itb.ijp.2010.21.2.5
Januarti, Islami, N., & Yennita. (2023). Development of Physics Modules Based on the REACT Learning Model of Sound Wave Material to improve the ability to Understand Concepts. Jurnal Penelitian Pendidikan IPA, 9(10), 8489–8497. https://doi.org/10.29303/jppipa.v9i10.4393
Jund, P., & Jullien, R. (1999). Molecular-dynamics calculation of the thermal conductivity of vitreous silica. Physical Review B, 59(21), 13707–13711. https://doi.org/10.1103/PhysRevB.59.13707
Kaburaki, H., Li, J., & Yip, S. (1998). Thermal Conductivity of Solid Argon by Classical Molecular Dynamics. MRS Proceedings, 538, 503. https://doi.org/10.1557/PROC-538-503
Khairuddin, K., & Yamin, M. (2021). Analysis of Cadmium (Cd) and Lead (Pb) Heavy Metal Content in Shell and Mangroves at Bima Bay. Journal of Science and Science Education, 2(1), 58–61. https://doi.org/10.29303/jossed.v2i1.726
Krisna, D. N., & Su’ud, Z. (2012). Study Neutronic of Small Pb-Bi Cooled Non-Refuelling Nuclear Power Plant Reactor (SPINNOR) with Hexagonal Geometry Calculation. Indonesian Journal of Physics, 23(1), 16–22. https://doi.org/10.5614/itb.ijp.2012.23.1.4
Liunokas, M. T., & Asbanu, D. E. S. I. (2023). Revolutionizing Physics Education: Enhancing High School Students’ Understanding of Standing Wave Concepts through Mictester-Based Smartphone Experiments. Jurnal Penelitian Pendidikan IPA, 9(10), 8563–8568. https://doi.org/10.29303/jppipa.v9i10.3771
Material Properties. (2023). Thermal Conductivity of Materials. Retrieved from https://material-properties.org/thermal-conductivity-of-materials/
Nuris, A. A. (2019). Modeling of Ferrous Metal Diffusion in Liquid Lead Using Molecular Dynamics Simulation. Computational And Experimental Research In Materials And Renewable Energy, 2(1), 45. https://doi.org/10.19184/cerimre.v2i1.20561
Pioro, I. L. (2023). Handbook of Generation IV Nuclear Reactors. Elsevier. https://doi.org/10.1016/C2019-0-01219-8
Ramadhany, F., Misto, M., Mulyono, T., & Hasan, M. (2022). Interaction Between Liquid Lead and FeNi Material Using Molecular Dynamics Simulation. Computational And Experimental Research In Materials And Renewable Energy, 5(1), 48. https://doi.org/10.19184/cerimre.v5i1.31477
Refson, K. (2000). Moldy: a portable molecular dynamics simulation program for serial and parallel computers. Computer Physics Communications, 126(3), 310–329. https://doi.org/10.1016/S0010-4655(99)00496-8
Salam, A. A. K., Abdullah, H., & Amin, B. D. (2023). Development of REACT-Oriented Student Worksheets to Improve Physics Learning Outcomes. Jurnal Penelitian Pendidikan IPA, 9(1), 462–471. https://doi.org/10.29303/jppipa.v9i1.2497
Siswoyo, E., & Habibi, G. F. (2018). Sebaran Logam Berat Cadmium (Cd) dan Timbal (Pb) pada Air Sungai dan Sumur di Daerah Sekitar Tempat Pembuangan Akhir (TPA) Wukirsari Gunung Kidul, Yogyakarta. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(1), 1–6. https://doi.org/10.29244/jpsl.8.1.1-6
Stukowski, A. (2010). Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool. Modelling and Simulation in Materials Science and Engineering, 18(1), 015012. https://doi.org/10.1088/0965-0393/18/1/015012
Su’ud, Z. (2008). Optimization of small and very small long life Pb-Bi Cooled Fast reactors. Indonesian Journal of Physics, 15(2), 43–50. Retrieved from http://ijp.papsi.org/index.php/ijp/article/viewArticle/93%5Cnpapers3://publication/uuid/9F74B8D1-4FD2-484D-AA57-0C7F22009468
Suprihatin, S., & Indrasti, N. S. (2011). Penyisihan Logam Berat dari Limbah Cair Laboratorium dengan Metode Presipitasi dan Adsorpsi. MAKARA of Science Series, 14(1). https://doi.org/10.7454/mss.v14i1.473
Syam, Y. R., Retnowati, R., & Kurniasih, S. (2023). Development of a Virtual Laboratory Based on Problems in the Circulatory System Matter. Jurnal Penelitian Pendidikan IPA, 9(10), 8415–8421. https://doi.org/10.29303/jppipa.v9i10.5195
Tretiakov, K. V, & Scandolo, S. (2004). Thermal conductivity of solid argon at high pressure and high temperature: A molecular dynamics study. The Journal of Chemical Physics, 121(22), 11177–11182. https://doi.org/10.1063/1.1812754
Vogelsang, R., Hoheisel, C., & Ciccotti, G. (1987). Thermal conductivity of the Lennard-Jones liquid by molecular dynamics calculations. The Journal of Chemical Physics, 86(11), 6371–6375. https://doi.org/10.1063/1.452424
Xometry, T. (2023). Thermal Conductivity: Definition, How It Works, Importance, Calculations, and Factor. Retrieved from https://www.xometry.com/resources/materials/thermal-conductivity/
Yutia, N., Yusnaidar, & Hasibuan, M. H. E. (2023). Development of Electronic Student Worksheets with a Scientific Approach to Static Fluids Material to Improve Critical Thinking Skills of SMAN 9 Merangin Students. Jurnal Penelitian Pendidikan IPA, 9(10), 8383–8389. https://doi.org/10.29303/jppipa.v9i10.5291
Author Biographies
Artoto Arkundato, University of Jember
Ratna Dewi Syarifah, Universitas Jember
Lutfi Rohman, Universitas Jember
Wenny Maulina, Universitas Jember
Widiasih, Universitas Terbuka
License
Copyright (c) 2023 Artoto Arkundato, Ratna Dewi Syarifah, Lutfi Rohman, Wenny Maulina, Widiasih
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).