Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Energy, Material, and Instrumentation Technology

Analisis Perbandingan Desain Geometri Pin Bahan Bakar Heksagonal dan Persegi GFR Menggunakan Bahan Bakar Uranium Karbida Maulana, Muhammad Rizqi; Syarifah, Ratna Dewi; Prasetya, Fajri; Mabruri, Ahmad Muzaki; Arkundato, Artoto; Rohman, Lutfi
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 3 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i3.252

Abstract

Analisis Perbandingan Desain Geometri Pin Bahan Bakar Heksagonal dan Persegi GFR dengan Bahan Bakar Uranium Karbida telah dilakukan.Reaktor nuklir dari generasi I hingga IV mengalami perkembangan yang cukup signifikan. Salah satu reaktor generasi IV yang berpotensi dapat beroperasi di tahun 2030 adalah reaktor cepat jenis Gas-cooled Fast Reactor (GFR). Penelitian ini menggunakan reaktor GFR dengan bahan bakar uranium karbida (UC) dan daya input rendah sebesar 300MWth. Teras reaktor menggunakan desain geometri cylinder pancake dengan tinggi 100 cm dan diameter 240 cm. Penelitian ini bertujuan untuk membandingkan desain optimal variasi sel pin geometri heksagonal dan persegi untuk reaktor cepat tipe GFR. Penelitian dilakukan dengan menggunakan software SRAC 2006 dengan database JENDL 4.0. Tahapan yang dilakukan dalam penelitian ini adalah melakukan perhitungan konfigurasi inti homogen, perhitungan konfigurasi inti heterogen, kemudian melakukan variasi fraksi bahan bakar untuk menghasilkan data yang optimal pada variasi sel pin heksagonal dan sel pin persegi. Hasil menunjukkan bahwa desain optimal diperoleleh pada desain heterogen dengan persentase pengayaan uranium untuk F1, F2, dan F3 sebesar 11.5% - 12% - 12.5%. Desain optimal dengan persentase tersebut dicapai pada fraksi fuel 51% untuk geometri pin heksagonal dan 59% untuk geometri persegi.
Hybrid DFT-ML-MD Approach for Derivation of Lennard-Jones Interatomic Potential Parameters of Al Arkundato, Artoto; Widiasih; Ratnadewi, Anak Agung Istri Ratnadewi; Syah, Khalif Ardian; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 2 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i2.306

Abstract

Atomistic simulation based on computational physics of methods is used to develop accurate interatomic potentials based on DFT (density functional theory) data. The accuracy of predicting the physical properties of a material is highly dependent on the quality of the interatomic potential used. The purpose of this study is to determine the Lennard-Jones potential parameters of Al metal (epsilon and sigma) from fitting the DFT simulation output data. The use of a “robust” fitting method to reduce the influence of outliers on the potential results is very important and therefore a machine learning method is used to help find the right potential parameters. The method used is a hybrid method using DFT to generate training data, using ML (machine learning) to fit DFT data to the Lennard-Jones (LJ) potential model, and using the MD (molecular dynamics) method to validate the LJ potential parameters. Python-based programming is applied to facilitate how the three methods can be connected. The results of this study are that Al metal has an epsilon value = 0.5000 eV and sigma Al = 3.2072 Å, with a regression coefficient R2 = 0.9441 so that it can be concluded that this study can be said to be quite good and the hybrid method can be further developed to obtain the LJ potential parameter values of various other materials, especially metals.