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Artoto Arkundato
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Jurusan Fisika, FMIPA, Universitas Jember Jalan Kalimantan No.37, Krajan Timur, Jember Lor, Kecamatan Sumbersari, Kabupaten Jember, Jawa Timur 68121
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Computational and Experimental Research in Materials and Renewable Energy (CERiMRE)
Published by Universitas Jember
ISSN : -     EISSN : 2747173X     DOI : https://doi.org/10.19184/cerimre.v3i2.23544
Core Subject : Science,
Computer Science & IT Energy Materials Science & Nanotechnology Physics
Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) journal receives scientific articles of experimental and/or computational research that using many tools and methods as computational methods (Micromagnetic simulation, DFT Density Functional Theory, MD molecular dynamics, CFD computational fluid dynamics, MC Monte Carlo, FEM finite element method, transport neutron equation, etc) and standard experimental tools and analysis (FTIR, XRD, EDAX, bending test, etc) to develop potential applications of new materials and renewable energy sources. The materials and renewable energy under investigation may show: Prediction of material properties for new potential applications as electronics materials, photonics materials, magnetic materials, spintronics materials, optoelectronics materials, nuclear materials, thermoelectric materials, etc. Exploration of new design of renewable energy resources as in nuclear power plants, solar cell, fuel cells, biomass, thermoelectric generators, nuclear batteries, wind, wave, geothermal, etc.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 3 No 2 (2020): November" : 5 Documents clear
Effect Of TiO2 Addition On The Electrical Conductivity Of Nylon-TiO2 Hybrid Membrane Rohmah, Nurul Octavia Hijriyatur
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23544

Abstract

Current membrane technology has developed rapidly in industrial commercial interests. This has led to various studies, especially on membrane raw material innovation. Research on the measurement of electrical conductivity on nylon-TiO2 hybrid membranes has been carried out. This study aims to determine the addition of the right TiO2 mass fraction based on the electrical conductivity value. The variations in the concentration of TiO2 used were 0.5%, 1%, 3%, 5%, and 7% (w/v). The nylon-TiO2 hybrid membrane was prepared using the phase inversion method. The measurement of the electrical conductivity of the hybrid membrane was carried out using the parallel plate method. The measurement results of the nylon-TiO2 hybrid membrane showed that the electrical conductivity of the hybrid membrane increased with the addition of the mass fraction of TiO2, from (0.66 ± 0.04) × 10-9 S / cm for nylon membrane to (9.15 ± 5.71) × 10-9 S / cm for additionalmass fraction of TiO2 5% (w/v). Meanwhile, onadditionThe mass fraction of TiO2 7% (w / v) causes the electrical conductivity of the hybrid membrane to decrease, by obtaining an electrical conductivity value of(2.31 ± 0.45) × 10-9 S / cm
Analysis Curie Temperature and Hysteresis La0,7Sr0,3MnO3 with Micromagnetic Simulation Febiantoro, Muhamad Rony; Rohman, Lutfi; Sutisna, Sutisna
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23545

Abstract

Simulation reseach has been carried out to obtain the characteristic of material La0,7Sr0,3MnO3. The simulation method used atomistic of magnetic materials. Simulations were carried out using Vampire software Micromagnetic simulation were determine Curie temperature and Hysterisis Curve. The monte carlo algorithm was used in this reseach. Simulation were carried out by variation nanocube size 22 nm, 27 nm, and 32 nm. The simulation result show, Curie temperature show in 27 nm have the biggest value and stuck in that value. The characteristics of the Hysterisis curve 32 nm bigger than the others.From the simulation, it is found that the between the temperature and Hysteris curve. More temperature value, the smaller the Hysterisis curve.
The Flow Rate Characteristics of CO Gas Emissions Using Simflow 3.1 Febriyani, Eka; Hidayati, Nuroh
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23546

Abstract

Carbon monoxide (CO) is a type of pollutant produced by industrial activities and is emitted through gas exhaust flues. Simulation activities are considered to provide a lot of information regarding the distribution of CO gas flow in the air. This paper will analyze the velocity and pressure distribution characteristics of CO gas to predict the accumulation of CO gas at various variations in the distribution distance of the gas. Simulation activities are carried out using SIMFLOW 3.1, a software capable of simulating fluid dynamics by emphasizing the ease of application. The simulation results show that the flow rate of CO gas is proportional to the amount of gas pressure generated at each distribution distance of the gas. The CO gas flow shows a fairly stable movement when identified at a distance of more than 30 m. This indicates that a mass of CO gas will be transmitted in the same amount over a distance of up to 70 m. The largest gas accumulation was obtained at a distance of 20 m from the source, which was indicated by the smallest gas flow velocity of 3.87 x 10-3 m/s.
Study of Vortex Generator Effect on Airfoil Aerodynamics Using the Computational Fluids Dynamics Method Ayudia, Siti Aisyah; Arkundato, Artoto; Rohman, Lutfi
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23547

Abstract

The lift force is one of the important factors in supporting the aircraft flying capabilities. The airplane has a section called the aircraft wing. In particular, the wing section of aircraft is called the airfoil. One of the efforts to increase the lift force is to make the flow of air fluid at the top of the airfoil more turbulent. Turbulent flow can attract momentum from the boundary layer, the result of this momentum transfer has energy that is more resistant to the adverse pressure gradient which can trigger the flow separation. Efforts that can be made to reduce separation flow and increase lift force are the addition of a turbulent generator on the upper surface of the airfoil, one type of turbulent generator is a vortex generator, a vortex generator can accelerate the transition from the laminar boundary layer to the turbulent boundary layer. This study was conducted with the aim of knowing the effect of the vortex generator on the aerodynamics of NACA-4412 using the computational fluid dynamics method. The main thing that will be investigated is the effect of the straight type vortex generator application on the lift coefficient, by comparing the plain airfoil and airfoil that has been applied to the vortex generator to vary the angle of attack. The variation of the angles of attack are 0º, 5º, 10º, 15º and the placement of the vortex generator is 24% of the leading edge. The results obtained that the lift coefficient changes with increasing angle of attack and the application of a vortex generator to an airfoil can increase the lift coefficient than a plain airfoil. The optimum increase in lift coefficient is at the angle of attack of 5º as much as 13%.
Numerical Modeling Of Pressure Source Of Sinabung Volcano Based On GPS Data In 2011-2012 Using Particle Swarm Optimization (PS0) Kumalasari, Ratih; Srigutomo, Wahyu; Meilano, Irwan; Gunawan, Hendra
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23549

Abstract

Mogi Model with particle swarm optimization (PSO) scheme have been applied to the local GPS data of Sinabung Volcano during 2011 to 2012 to receive subsurface parameters as pressure sources in terms of misfit and inversion model parameter. The size of displacement was inverted by PSO. From the inversion concluded that the position pressure source showing shallow magma pockets at a depth between ±1.3 km volume change around +0.95x106 m3 . It indicates the presence of a huge magma supply and continuous into shallow magma chamber up to the surface of Sinabung Volcano.

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