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Journal : Automotive Experiences

Body City Car Design of Two Passengers Capacity: A Numerical Simulation Study Randi Purnama Putra; Dori Yuvenda; Muji Setiyo; Andrizal Andrizal; Martias Martias
Automotive Experiences Vol 5 No 2 (2022)
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.6304

Abstract

A city car is needed to overcome congestion and parking spaces in urban areas. However, currently, the body design of the city car is still experiencing problems, namely the value of the large drag coefficient, which causes an increase in fuel consumption. This study aims to design a city car body with two passengers that is more aerodynamic so as to minimize fuel use. This research method is a numerical simulation model using the ANSYS fluent students version 2021. Parameters in the form of drag coefficient values, velocity streamlines and velocity contours on the city car are aerodynamic aspects that are analyzed. The results show that the dimensions of the designed city car have a length of 2.59 m, a width of 1.6 m, and a height of 1.52 m by considering the ergonomic parameters and comfort of the user so that it fits the character of the people in Indonesia. In addition, from the independence grid analysis performed, the value of the number of meshes that have the smallest error value is obtained, namely mesh C (the number of meshes is 129,635). Mesh C has an error of 7.2%. It was found that as the velocity increases, the value of the drag coefficient (CD) produced is relatively smaller. In a city car with a velocity of 10 m/s, the drag coefficient value is 0.599, at a velocity of 20 m/s, the drag coefficient value is 0.594, and a velocity of 30 m/s is a drag coefficient value of 0.591.
Combustion and Emission Characteristics of CNG-Diesel Dual Fuel Engine with Variation of Air Fuel Ratio Dori Yuvenda; Bambang Sudarmanta; Jamaludin Jamaludin; Oki Muraza; Randi Purnama Putra; Remon Lapisa; Krismadinata Krismadinata; Rahadian Zainul; Asnil Asnil; Muji Setiyo; Sri Rizki Putri Primandari
Automotive Experiences Vol 5 No 3 (2022)
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.7807

Abstract

Compressed natural gas (CNG) is a popular alternative fuel because of its more environmentally friendly properties than fossil fuels , including applications in diesel engines. However, supplying too much compressed natural gas fuel causes poor engine performance and emissions due to a decrease in the air-fuel ratio on the dual-fuel engine. The addition of air using electric superchargers was done to return the air-fuel ratio to ideal conditions. Lambda value (λ) was variation under low load (1.52 to 2.71), medium load (1.18 to 2.17), and high load (0.94 to 2.17) on a CNG-diesel dual fuel engine. The addition of pure air in each load can increase combustion stability in certain lambda, which was indicated by an increase in thermal efficiency, heat release rate, and a decrease in ignition delay, combustion duration, hydrocarbon, and carbon monoxide emissions.
Fuel Control System on CNG Fueled Vehicles using Machine Learning: A Case Study on the Downhill Suroto Munahar; Muji Setiyo; Ray Adhan Brieghtera; Madihah Mohd Saudi; Azuan Ahmad; Dori Yuvenda
Automotive Experiences Vol 6 No 1 (2023)
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.8107

Abstract

Compressed Natural Gas (CNG) is an affordable fuel with a higher octane number. However, older CNG kits without electronic controls have the potential to supply more fuel when driving downhill due to the vacuum in the intake manifold. Therefore, this article presents a development of a CNG control system that accommodates road inclination angles to improve fuel efficiency. Machine learning is involved in this work to process engine speed, throttle valve position, and road slope angle. The control system is designed to ensure reduced fuel consumption when the vehicle is operating downhill. The results showed that the control system increases fuel consumption by 25.7% when driving downhill which an inclination of 5ᵒ. The AFR increased from 17.5 to 22 and the CNG flow rate decreased from 17.7 liters/min to 13.8 liters/min which is promising for applying to CNG vehicles.
Design and Crash Test on a Two-Passenger City Car Frame using Finite Element Method Putra, Randi Purnama; Yuvenda, Dori; Afnison, Wanda; Lapisa, Remon; Milana, Milana; Fauza, Anna Niska; Harmanto, Dani
Automotive Experiences Vol 7 No 2 (2024)
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.11306

Abstract

The chassis is an important part of a car which must have a strong construction to withstand the weight of the vehicle. The purpose of this research is to create a city car's chassis that can hold two passengers and then crash-test the finished product. In this research, a development method was used using SolidWorks software and the student version of ANSYS R2 2023 as software for creating chassis designs and crash test simulations. The study's findings indicate that the car frame's measurements are 2.46 meters in length, 1.33 meters in height, and 1.39 meters in width. The steel of the ASTM A36 type was utilized as the material in the computational study of the frame. The results show that increasing speed causes an increase in deformation, with the peak deformation at a speed of 100 km/h. The maximum deformation occurs at 0.007 seconds with a value of 203.51 mm at the top pillar of the car. The deformation increases from 97.196 mm at 0.0035 s to 161.22 mm at 0.0056 s. However, deformation occurs mainly in the front zone of the car frame and is not significant in the passenger zone.
Aerodynamic Approach to Two-Passenger City Car Design: A Study of Square Back and Compact Shapes Putra, Randi Purnama; Yuvenda, Dori; Lapisa, Remon; Afnison, Wanda; Milana, Milana; Setiawan, M. Yasep; Arif, Ahmad; Harmanto, Dani
Automotive Experiences Vol 8 No 2 (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.13686

Abstract

The development of lightweight electric cars for urban mobility requires efficient aerodynamic design without sacrificing space efficiency. This study presents a novel method by investigating the combination of a two-seater city car's compact dimensions and square back shape, which has not been extensively researched for low- to medium-velocity vehicles. This study's objective is to assess the design's aerodynamic performance using numerical simulations using the Computational Fluid Dynamics (CFD) approach. The vehicle model is designed with a compact body and square back, which is commonly used in small vehicles with high maneuverability requirements. The simulations are conducted at three different air velocity levels: 10, 20, and 30 m/s. The results of the study showed an increase in the value of the drag coefficient (Cd) along with an increase in flow velocity. At a velocity of 10 m/s, the Cd value was recorded at 0.4536. When the velocity increased to 20 m/s, the drag coefficient increased slightly to 0.4563. Further increases in velocity to 30 m/s resulted in a Cd value of 0.4581. This Cd value shows the consistency of aerodynamic performance with increasing velocity, with fluctuations that remain within the efficiency limits of lightweight vehicles. The pressure distribution contour shows high-pressure accumulation at the front and low pressure at the rear of the vehicle, which generates large turbulent wakes in the rear area and contributes to increased drag. These findings indicate that the square rear body design faces significant aerodynamic challenges. Therefore, design strategies such as adding a rear spoiler, using a rear diffuser, and optimizing the rear body angle are suggested as potential solutions to improve flow efficiency.
Smart and Sustainable Mobility: A Systematic Review of Industry 4.0 Applications in Automotive Sustainability, Alternative Fuels, and EV Charging Systems Wagino, Wagino; Capilayan, Mycel A.; Setiyo, Muji; Tymofiiv, Volodymyr; Putra, Dwi Sudarno; Yuvenda, Dori; Koto, Rahmat Desman
Automotive Experiences Vol 8 No 3 (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.13431

Abstract

This systematic review analyzes the integration of Industry 4.0 technologies in sustainable manufacturing and clean energy technology within the automotive industry, focusing on electric vehicle infrastructure development and renewable energy implementation. Through a comprehensive analysis of 25 selected articles from 200 articles (10 sustainability articles, 12 alternative fuels, and 3 electric vehicle charging stations articles) published between 2018 and 2024, this study employs PRISMA methodology combined with bibliometric content and scientometric analysis. The review reveals significant temporal evolution in research focus, progressing from basic energy efficiency studies (2018-2020) to enhanced Industry 4.0 technology integration (2020-2022), culminating in strong convergence between renewable energy implementation, smart infrastructure development, and circular economy principles (2022-2024). Key findings highlight the critical role of AI, IoT, and blockchain in enabling sustainable manufacturing processes and smart grid integration for EV infrastructure. Integrating hybrid energy storage systems with clean energy technologies is crucial for addressing energy transition challenges and reducing fossil-fuel dependence. The study identifies research gaps in comprehensive methodological approaches integrating technical innovation, sustainable manufacturing, and climate action considerations, particularly in developing regions. Future research opportunities include machine learning applications for dynamic energy system optimization and innovative business models supporting sustainable technology implementation across various socio-economic contexts. This review contributes to understanding technology integration patterns in sustainable transportation systems. It provides strategic recommendations for researchers, industry practitioners, and policymakers in advancing low-carbon mobility solutions and resilient infrastructure development.
Co-Authors Abdu Idham Aditya Kolakoti Agia Kulkarni Preti Ahmad Arif Ahmad Arif Ajib Jihadal Mahmud Al Munawir Alfa Rehan Oktori Rahmadana Alper Calam Alya Khalisa Humaira Anaperta, Yoszi Mingsih Andre Kurniawan Andre Kurniawan Andri Saputra Andri, Rezky Andrizal Andrizal Aprinaldi, Aprinaldi Aqilah Triwulandari Arham, Veri Budiawan Ari Kurniawan Arif Wahjudi Armes, Deya Arwizet Arwizet, Arwizet Asnil Asnil Aswardi Aswardi Aulia Rahma Azis, Ismail Azka Fauzan Azuan Ahmad Bahrul Amin Bambang Sudarmanta Bambang Sudarmanta Bulkia Rahim Capilayan, Mycel A. Citra Dewi Dedi Setiawan Dedi Setiawan Delima Yanti Sari Dwi Sudarno Putra Eko Indrawan Erizon, Nelvi Erzeddin Alwi Fancer Rumahorbo Faris Afif Fauza, Anna Niska Fikri, Ryan Fitrah Qalbina Fitri Yanti Gusni Sushanti Hanifa, Nurul Hansi Effendi Haq, Syaiful Harmanto, Dani Hasan Maksum Hendra Dani Saputra Hendra Hidayat Hermi Zaswita Hidayattullah, Riezky Husnul Khotimah I Gusti Bagus Wiksuana Ilham Mahyudi Illahi, M. Ilham Anugrah Illahi, Ridho Indradewa, Rhian Irzal, Irzal Isra Fitria Jalil, Muhammad Jamaludin Jamaludin Jamaludin Jamaludin Jose da Silva Junil Adri Kelvin Permana Saputra, Dwi Koto, Rahmat Desman Krismadinata Krismadinata Krismadinata Krismadinata, Krismadinata Kurnia, M. Chalid Lidia Cania Putri M. Nasir M. Yasep Setiawan Madihah Mohd Saudi Maidi Saputra Martias Martias Martias Martias Masykur, Masykur Milana Milana Moch. Aziz Kurniawan Muhammad Djoni Bustan Muhammad Kunta Biddinika Muhammad Rifqi Muhibbudin, Muhibbudin Muji Setiyo Muji, Anggarda Muldi Yuhendri Mulianti Mulya Melda Muslim Muslim Mutia Srimaningsi Muzakir Nabilla Nelvi Erizon Nor Azwadi Che Sidik Nurdin Hendri Nurmansyah, Ridho Nuzul Hidayat, Nuzul Nuzul Ikhsan Oki Muraza Olusegun David Samuel Olusegun David Samuel Pribadyo, Pribadyo Primawati Primawati, Primawati Puja Agustin Purwanto, Wawan Purwantono Purwantono Purwantono purwantono purwantono Purwantono, Purwantono Putra, Randi Purnama Putra, Setrihan Rahadian Zainul Rahmadona, Tiwi Rahmat Hidayat Raihan, Muhammad Randi Purnama Putra Ray Adhan Brieghtera Refdinal, Refdinal Remon Lapisa Reva Lina Putri Rifdarmon Rifdarmon Rifelino Rifelino Rizal Kurniawan Robert, Julio Ropita Ropita Rozy Aini Hirowati Sabrianto, Jerry Sadri Arjono Septiawan, Dwi Ari Sri Haryati Sri Rizki Putri Primandari Suroto Munahar Tamasya, Fido Delfri Tarig Elshaarani Tasyah, Tasyah Tiwi Rahmadona Toto Sugiarto Tuessi Ari Purnomo Tymofiiv, Volodymyr Utama, Rizky Indra Wagino Wagino Wagino Wanda Afnison Waskito Waskito Waskito, Waskito Wulansari, Rizky Ema Y, Fadhil Yanto, Doni Tri Putra Yolli Fernanda Yovindra, Difa Yuliardiansyah, Haris Yus Donald Chaniago Zahren, Zahren Zainal Abadi