Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Mechanical Engineering Science and Technology Turbo : Jurnal Program Studi Teknik Mesin
Saeful, Albarrobi Nabila
Unknown Affiliation
Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Heuristic Approach to Comparing the Environmental Impacts of Carbon Nanotube Production Methods Fikri, Ahmad Atif; Fadlika, Irham; Saeful, Albarrobi Nabila; Muhdi, Krisna Dwipa; Pratama, Daniel Febrian; Bello, Nasir Garba
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i12024p199

Abstract

Carbon Nanotubes (CNTs) production so far has its own advantages and disadvantages. Some methods that can be used in producing CNTs are chemical vapor deposition (CVD), laser ablation, and arc discharge. The three methods have their own requirements, this causes different environmental impacts on each method. Studies into the environmental impact of the CNTs production process found that during thermal pretreatment of the reactant gas, more than 45 by-products were formed, including methane, volatile organic compounds, and polycyclic aromatic hydrocarbons. Calculating the environmental impact of CNTs production method often has challenges in implementation, because each production process has different systems and needs. One way to overcome this problem is by using the heuristic method for forecasting environmental impact, which can be done with the Multi-Criteria Decision Analysis algorithm. The method can calculate uncertainty in each scenario, by normalizing the given load value. In this study, the CVD method has the best solution and objective value results compared to laser ablation and arc discharge. The best solution and objective values that show the value of scenario quality and environmental impact in each method, in CVD the solution obtained in the 34th generation has an epsilon value of 0.00251. The generation shows the performance of the scenario, while the epsilon value shows the value of the environmental impact, the smaller the generation, the better the scenario, while the smaller the epsilon value, the smaller the environmental impact.
Advancing Green Urea Recovery Flow: Enhancing Efficiency Through Flow Conditioning to Control Turbulence and Pressure Drop Saeful, Albarrobi Nabila; Saiful, Jusef; Fikri, Ahmad Atif
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 2 (2025): TURBO: Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i2.4086

Abstract

Green urea production requires high efficiency, in addition to reducing carbon emissions, high efficiency is needed to prevent waste from being wasted too much. High turbulence results in the creation of biuret that can interfere with the efficiency of urea production, one of the solutions that can be used to overcome this problem using flow conditioners. The analytical method is used to analyze and select the flow conditioner design, with the aim of having the most optimal turbulence and pressure drop values. The numerical method of Computational Fluid Dynamics (CFD) is also used in this study, the purpose of which is to validate the results and visualize the flow. The results show that the difference between the results of the analytical and numerical methods is not more than 5%, and the turbulence value can be reduced by about 5x by only losing about 0.3 bar of pressure from the system without the use of flow conditioners. This shows that the green urea production process can be more efficient and reduce the waste produced.
Co-Authors Ahmad Atif Fikri Bello, Nasir Garba Irham Fadlika Muhdi, Krisna Dwipa Pratama, Daniel Febrian Saiful, Jusef