cover
Contact Name
Anwar Ilmar Ramadhan
Contact Email
anwar.ilmar@ftumj.ac.id
Phone
+6281578530897
Journal Mail Official
anwar.ilmar@ftumj.ac.id
Editorial Address
Faculty of Engineering Universitas Muhammadiyah Jakarta Jl. Cempaka Putih Tengah 27 Jakarta Pusat 10510 Indonesia
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Journal of Applied Sciences and Advanced Technology
ISSN : -     EISSN : 26226553     DOI : 10.24853/jasat
Core Subject : Engineering,
Journal of Applied Sciences and Advanced Technology (JASAT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of applied sciences, advanced technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JASAT follows the open access policy that allows the published articles freely available online without any subscription.
Articles 3 Documents
Search results for , issue "Vol 5, No 1 (2022): Journal of Applied Sciences and Advanced Technology" : 3 Documents clear
Analysis of Tensile Strength of Jute and Coconut Coir Reinforced Polymer Matrix Composite Berliana Maulani Naziha; Putri Ayu Nurmakhmuda; Utiya Hikmah
Journal of Applied Sciences and Advanced Technology Vol 5, No 1 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.1.1-6

Abstract

A Composite is a mixture of two or more elements that are physicochemical and different from one another which can produce new products with better properties. As technology advances, conventional composite materials began to be replaced with polymer materials. One way of making polymer composites is to use polyester resin with natural fiber reinforcement. Coconut coir is a natural fiber with a high cellulose content and can produce high lignin is the cause of coconut coir having stiffer properties than other natural fibers. It is this rigid nature that causes coconut coir to be widely ogled by the textile industry. Another example that is often used as a reinforcement for polymer composites is jute fiber. Jute fiber is a natural fiber with high quality derived from the extraction of plant stems with a multicellular structure. This research is about measuring the tensile test of composites with a polyester resin matrix reinforced by jute and coconut fiber.
Simulation of Efficiency in Improving the Performance of Cylindrical Vertical Furnace Using Indirect Method Dimas Adhitya Rahman; Ismiyati Ismiyati; Tri Yuni Hendrawati
Journal of Applied Sciences and Advanced Technology Vol 5, No 1 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.1.7-12

Abstract

One of the essential pieces of equipment at the Pertamina Refinery Unit V Balikpapan is the Furnace F-3-04 Vertical Cylindrical type. Furnace operation efficiently becomes very important given the vast energy consumption and directly influences the level of refinery profits. Therefore, it is necessary to do a simulation to increase the efficiency value to minimize energy use. This study aimed to determine the effect of O2 Excess and Flue Gas temperature on efficiency and to find the best efficiency from the simulation results on a Vertical Cylindrical Furnace. In this study, the furnace's efficiency is calculated and simulated using the indirect method. The heat entering the furnace is reduced by the heat lost compared to the heat entering. Initial data processing is a normality test to determine whether the data is usually distributed and can be used for data to be entered into the mathematical simulation of furnace efficiency. The efficiency value produced by Furnace F-3-04 is 86.3%, with an O2 excess value of 7.25% and a Flue Gas temperature of 419 0C. From the simulation carried out, it can be seen that the operating parameter that most affects efficiency is O2 Excess of 0.15 – 0.18% for every 0.5% decrease in O2 Excess for 5 simulations. Meanwhile, the Flue Gas temperature gets a value of 0.02 – 0.03% for every 2 0C decrease for 5 simulations. The best efficiency value is 87.7%, with O2 Excess of 4.75% and Flue Gas temperature of 409 0C.
Experimental Investigation of Thermal Properties of Ternary Nanofluids in Water-Ethylene Glycol (60:40) Mixture Anwar Ilmar Ramadhan; Wan Hamzah Azmi; Korada Viswanatha Sharma; Efrizon Umar
Journal of Applied Sciences and Advanced Technology Vol 5, No 1 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.1.13-26

Abstract

In recent years, research is directed towards enhancing the thermo-physical properties of single-component nanofluids. Hence, a hybrid or composite nanofluid is developed to improve heat transfer performance. The thermophysical properties of the Al2O3-TiO2-SiO2 nanoparticles suspended in the base of water (W) and ethylene glycol (EG) blends with vol 60:40 or Ternary Nanofluids for various volume concentrations are investigated. The experiments were undertaken for the concentration volume of 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0% of Al2O3-TiO2-SiO2 nanofluids with 30, 40, 50, 60 and 70 °C. Thermal conductivity measurements and dynamic viscosity are carried out at temperatures ranging from 30-70 °C.  The highest thermal conductivity of Ternary nanofluids was obtained at a concentration of 3.0%, and the maximum increase was up to 27.1% higher than the base fluid (EG/W). Ternary nanofluids at a concentration of 0.5% give the lowest effective thermal conductivity of 14.4% at 70°C. Meanwhile, the evidence from the dynamic viscosity of the Ternary nanofluids is influenced by concentration and temperature. Furthermore, Ternary nanofluids behaviour as Newtonian fluid in volume concentration from 0.5-3.0%. The development of a new correlation for thermal conductivity and dynamic viscosity of Ternary nanofluids are precise. In conclusion, the combination of enhancement in thermal conductivity and a dynamic viscosity at a concentration of 3.0% has optimum conditions, which have more advantages for heat transfer than at other concentrations.

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