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Automotive Experiences
Published by Universitas Muhammadiyah Magelang
ISSN : 26156202     EISSN : 26156636     DOI : 10.31603/ae
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering
Automotive experiences invite researchers to contribute ideas on the main scope of Emerging automotive technology and environmental issues; Efficiency (fuel, thermal and mechanical); Vehicle safety and driving comfort; Automotive industry and supporting materials; Vehicle maintenance and technical skills; and Transportation policies, systems, and road users behavior.
Arjuna Subject : Teknik (semua kategori) - Teknik Otomotif
Articles 15 Documents
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Search results for , issue "Vol 8 No 1 (2025)" : 15 Documents clear
Effect of Hydroxy Gas Enrichment and Higher Biodiesel Concentration on Diesel Engine Performance Asnawi, Asnawi; Muhammad, Muhammad; Putra, Reza; Islami, Nurul
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.12903

Abstract

The hydroxy gas enrichment as an additive of biodiesel fuel for internal combustion engines affected the combustion characteristics. Hydroxy gas can be produced through water electrolysis to produce hydrogen and oxygen, significantly enhancing the combustion rate. This combined effect increased efficiency, reduced pollution, and improved air quality. This study aims to determine the impact of hydroxy enrichment generated from water electrolysis on engine performance with biodiesel-diesel fuel blends. The experimental work was conducted under diverse operating conditions and tested on a 418 cc single-cylinder engine. Experiments have been performed at a constant hydroxy gas flow rate of 500 mL/min and a constant speed of 2000 rpm under various torques. The result shows that B30 and B40 without hydroxy gas decreased diesel engine performance across various engine torque. The addition of hydroxy has been observed to positively impact the combustion reaction and increase the energy conversion efficiency of diesel engines. Compared to pure diesel fuel, the efficiency of B30 and B40 decreased by 9.26% and 11.59%, respectively. The enrichment of hydroxy gas increases the engine efficiency by an average increase of all torque to 7.95% for B30H (B30 with hydroxy) and 8.68% for B40H (B40 with hydroxy). Therefore, compared to pure diesel fuel, the efficiency slightly decreases by an average of 1.31% for B30H and 2.91% for B40H at all tested torques. This phenomenon indicates that the presence of hydroxy gas in a diesel engine increases the stability of the combustion process, which results in higher cylinder pressure with lower energy input.
Performance and Emission Characteristics of an Engine Fueled with Mangrove Bioethanol–Gasoline Blends Syarifudin, Syarifudin; Yohana, Eflita; Muchammad, Muchammad; Suhartana, Suhartana
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13121

Abstract

Alternative fuels are a primary solution to address fuel scarcity and the adverse effects of fossil fuels, such as air pollution. Bioethanol is notable for its simple production process and the use of flexible raw materials, although it is often derived from crops used in food production. Mangrove bioethanol, however, is produced from Rhizophora mucronata mangrove fruit, which is abundant, rich in carbohydrates, and not part of the human food chain. This study aimed to evaluate the use of mangrove bioethanol as a biofuel on engine performance and emission reduction in gasoline engines. Laboratory-based experiments were conducted using mangrove bioethanol blends at concentrations of 5% (GE5) and 10% (GE10). Pure gasoline (G100) served as the baseline for comparison. The results showed that GE10 delivered better engine performance and lower emissions than both G100 and GE5, likely due to its high octane rating and oxygen content. Performance improvements with GE10 included increases of 7.89% in brake torque (BT) and brake power (BP), 47.55% in brake thermal efficiency (BTE), and 20.33% in exhaust gas temperature (EGT), along with a 98% reduction in brake specific fuel consumption (BSFC). In terms of emissions, GE10 led to reductions in carbon monoxide (CO) and hydrocarbon (HC) emissions by 43.56% and 36.54%, respectively, while carbon dioxide (CO₂) emissions increased by 59.42%.
Effect of Tube Thickness Configuration of Two Segments Circular Crash Box on Its Crashworthiness Performance Hermawan, Muhammad Vendy; Choiron, Moch. Agus; Purnowidodo, Anindito; Winarto, Winarto
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13170

Abstract

This study aims to investigate the effect of tube configuration with different bottom fixation components on the energy absorption of a two-segment crash box. The circular tube thickness configuration has two thickness levels, half of the length of the tube has thicker walls (t2), and the other half has thinner walls (t1). The t1 values ​​are 1, 1.5, 2 and 2.5 mm while t2 is constant, 3 mm. Finite element analysis using ANSYS WORKBENCH was performed for the axial load model. The bottom fixation component uses Cutting Die Model (CDM) and Flat Model (FM). Sixteen crash box models were run to provide the effect of two tube thickness configurations and CDM-FM fixation components. The material of the circular tubes is Aluminum 6063 with a Bilinear Hardening Model assumption. Crashworthiness performance indicators were observed based on the values ​​of Energy Absorber (EA), Specific Energy Absorber (SEA), initial peak force (Fmax), and Crash Force Efficiency (CFE). The results show that the CDM model has the lowest Fmax value, due to the use of the die, which stimulates easier initial folding in the tube end area. The CDM model also has better SEA and CFE values. According to the results obtained from computer simulations, the CDM-t2t1 model with t1=1mm exhibited the highest Specific Energy Absorption (SEA) of 67.93 kJ. On the other hand, this same crash box model provided the smallest Fmax of 205.88 kN and the highest CFE value of 0.69. From these results, it can be concluded that this model provides the best crashworthiness performance.
A Simulation Based Metaheuristics for Capacitated Vehicle Routing Problem Jasmine, Tamara Latifah; Putro, Heru Purboyo Hidayat; Prilandita, Niken; Yudoko, Gatot
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13242

Abstract

Waste collection and transportation are essential elements of effective waste management. However, despite their importance, previous studies have highlighted several challenges, such as routing inefficiencies and environmental concerns. This study seeks to develop an optimized approach for waste collection and transportation under conditions of demand uncertainty, capacity limitations, and traffic constraints, through the application of a simheuristics-based method. The methodology utilizes a simheuristics approach, integrating a Genetic Algorithm (GA) to determine optimal routing solutions, while employing Discrete Event Simulation (DES) to incorporate key economic, environmental, and social variables. Data were obtained from field experiments and Google Maps, and assumptions regarding capacity requirements, distances and collection points, transportation cost components, and road conditions were established to ensure the reliability of the simulation results. The application of the simheuristics approach effectively reduces total transportation costs by approximately 51%, while also significantly minimizing environmental impacts. This research contributes to the academic literature by presenting an innovative method that strengthens existing waste collection strategies with an emphasis on sustainability. Additionally, it offers valuable insights for waste management policy, enabling the optimization of waste collection without exceeding capacity limits.
Short-Term Prediction of Bus Station Fleet Number Using a Combination of BiLSTM Models Siswanto, Joko; Rahmawati, Ainun; Rahardja, Untung; Putra, Nanda Dwi; Hakim, Muhammad Iman Nur; Pinandita, Tito; Prasetyo, Ilham Bagus
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13402

Abstract

Predicting the number of bus station fleets requires a holistic approach, using sophisticated data analysis techniques and appropriate predictive modeling. Short-term predictions of bus station fleet numbers are proposed based on the best MAPE evaluation values ​​from the comparison of the Bi-LSTM, BiLSTM-CNN, BiLSTM-Transformer, BiLSTM-Informer, and BiLSTM-Reformer models. The dataset used is in the form of a CSV consisting of 6 types of arrivals and departures of the Giwangan City Yogyakarta type A bus station fleet from 01/01/2021 to 09/30/2023. The best prediction model was found in BiLSTM-Transformers based on a MAPE value of 0.2211 with a relatively fast time (00:00:52) compared to BiLSTM, BiLSTM-CNN, BiLSTM-Informer, and BiLSTM-Reformer. The BiLSTM-Transformer model can short-term predict 6 types of fleet arrivals and departures at the bus station in the next 30 days. The peak of the bar and curve is at 0 which means the proposed prediction model is very accurate. There is 1 strong positive correlation, 2 weak positive correlations, 2 strong negative correlations, 8 weak negative ones, and 2 uncorrelated ones. Prediction results can be used to support short-term decision making in fleet planning and management based on the dynamics of community mobility.

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