Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Mechanical Engineering for Society and Industry Automotive Experiences
Poppy Puspitasari
Universitas Negeri Malang, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Application of response surface methodology (RSM) and central composite design (CCD) to optimize of green ammonia production using magnetic induction method (MIM) and nanocatalysts Poppy Puspitasari; Nandang Mufti; Ahmad Atif Fikri; Deny Yudo Wahyudi; Maizatul Shima binti Shaharun; Anisa Ur Rahmah; Diki Dwi Pramono
Mechanical Engineering for Society and Industry Vol 5 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.13408

Abstract

Ammonia synthesis in conventional industrial plants typically employs fused iron-based catalysts under harsh conditions (temperatures of 400–700 °C and pressures exceeding 300 atm), resulting in significant energy consumption. This study investigates the potential of using a Mn0.8Zn0.2Fe2O4 catalyst, synthesized under varying sintering temperatures and magnetic field inductions, to enable ammonia synthesis under milder conditions. Additionally, process optimization was carried out using Response Surface Methodology (RSM) and Central Composite Design (CCD). Catalyst characterization results indicate that the crystallite size of Mn0.8Zn0.2Fe2O4 increases with higher sintering temperatures. The catalyst exhibits a near-spherical morphology with notable agglomeration. Magnetic property analysis shows that samples sintered at 700 °C and 900 °C display ferrimagnetic behavior, while the sample sintered at 1100 °C exhibits ferromagnetic characteristics. Temperature-Programmed Reduction (TPR) revealed a maximum reduction peak at 788 °C for the catalyst sintered at 1100 °C, indicating enhanced reducibility. Ammonia formation was successfully achieved using a Helmholtz coil-assisted synthesis method, where the produced ammonia was captured in acidic and basic media in the form of NH₄OH and (NH₄)₂SO₄, confirming the catalytic activity of Mn0.8Zn0.2Fe2O4. The RSM model demonstrated high accuracy with an R² value of 99.73%, and residual analysis confirmed normal distribution, validating model assumptions. The optimal synthesis parameters determined were a sintering temperature of 700 °C, magnetic induction of 0.14 T, and a reaction temperature of 28 °C. The minimal deviation between predicted and experimental responses confirms the reliability and predictive accuracy of the quadratic regression model.
Tribology Properties on 5W-30 Synthetic Oil with Surfactant and Nanomaterial Oxide Addition Poppy Puspitasari; Avita Ayu Permanasari; Ayu Warestu; Gilang Putra Pratama Arifiansyah; Diki Dwi Pramono; Timotius Pasang
Automotive Experiences Vol. 6 No. 3 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.10115

Abstract

This study analyzes the tribological properties of 5W-30 synthetic oil with the addition of surfactants and oxide nanomaterials. This research used SAE 5W-30 lubricant base material with the addition of Aluminum Oxide (Al2O3), Titanium Dioxide (TiO2), and Hybrid Aluminum Oxide (Al2O3) - Titanium Dioxide (TiO2) nanomaterials. The nano lubricants were synthesized using a two-step method by adding nanomaterials by 0.05% volume fraction, followed by 50 ml of 5W-30 synthetic oil and polyvinylpyrrolidone (PVP) surfactant by 0.1%. Then, it was stirred using a magnetic stirrer for 20 minutes, followed by an ultrasonic homogenizer process for 30 minutes. Further, the nanolubricant was tested to identify its thermophysical properties, including density, dynamic viscosity, and sedimentation. It also underwent tribological testing, including wear, coefficient of friction, and surface roughness. Further, the nanomaterial was characterized using SEM, XRD, and FTIR. The morphological analysis using SEM suggested an irregular shape of the Al2O3 nanomaterial surface, while TiO2 has a spherical shape. Besides, phase identification with XRD testing showed corundum and anatase phases. Functional group analysis through the FTIR showedthe presence of Ti-O and Al-O. The highest density and viscosity results without surfactants were obtained in hybrid nanolubricant 779 kg/mm3 and 0.0579 Pa.s, while the use of surfactants resulted in 788.89 kg/mm3 of density and 0.0695 Pa.sviscosity. Tribological gray cast iron FC25 results in the best COF value observed in SAE 5W-30 + PVP-TiO2 lubrication (0.093). The lowest wear mass without surfactant was obtained in the Al2O3-TiO2 nanolubricant hybrid (0.02 grams), the lowest surface roughness in a mixture of PVP and TiO2 surfactants was 0.743 μm. Meanwhile, the surface morphology of gray cast iron FC25 with hybrid nanolubricant SAE 5W-30 (Al2O3-TiO2) and Nanolubricant SAE 5W-30+ (PVP-TiO2) produced the smoothest surface.
Multi-Objective Optimization of Structural Design for Lightweight Vehicle Chassis Dharma Maheswara; Poppy Puspitasari; Diki Dwi Pramono; Avita Ayu Permanasari; Sukarni Sukarni
Automotive Experiences Vol. 8 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13567

Abstract

This study presents a systematic optimization of a lightweight vehicle chassis design using Design of Experiments (DoE), Finite Element Analysis (FEA), and Analysis of Variance (ANOVA) to enhance structural performance while balancing mass efficiency and safety factor. Material selection and wall thickness variations were considered to achieve a compromise between minimal mass and a safety factor of at least 1.5. Pareto front analysis, combined with the Taguchi method, identified the optimal solution, Cycle Design 11, which achieved a safety factor of 1.9489, representing an increase of 0.7681 compared to the baseline design. The total mass of 3.5742 kg reflects a 32.13% increase from the baseline. ANOVA results confirmed that both material and wall thickness significantly influence safety factor and mass, providing critical guidance for design decisions. This multi-objective optimization approach demonstrates that integrating FEA with experimental design enables superior chassis designs compared to traditional single-objective methods, offering a practical strategy for developing lightweight, safe, and energy-efficient vehicles.
Co-Authors Ahmad Atif Fikri Anisa Ur Rahmah Avita Ayu Permanasari Ayu Warestu Deny Yudo Wahyudi Dharma Maheswara Diki Dwi Pramono Gilang Putra Pratama Arifiansyah Maizatul Shima binti Shaharun Nandang Mufti Sukarni Sukarni Timotius Pasang