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INDONESIA
Mesin
Published by Institut Teknologi Bandung
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Core Subject : Engineering,
Mechanical Engineering
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Articles 5 Documents
 1 
Search results for , issue "Vol 29 No 2 (2023)" : 5 Documents clear
Two-Dimensional Analysis of Lower Extremities to Predict Best Initial Condition on Marching Movement Faisal Afif, Daffa; Made Ayu Sinta Dewi, Ni; Irham Naufran, Denis; Paskalis, Felix; Ferryanto, Ferryanto
Mesin Vol 29 No 2 (2023)
Publisher : Faculty of Mechanical and Aerospace Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/MESIN.2023.29.2.1

Abstract

Himpunan Mahasiswa Mesin ITB has a specific type of marching that follows a march song’s rhythm called “derap”. In practice, derap was a hard move to maintain and unify in a group. This difficulty was observed by noting the differences that occur between the subjects' initial and middle march motion conditions. The most noticeable difference was the height of the group. This study intends to observe and find how the differences vary in this motion. The differences that occur corresponded to the relative knee and ankle angle. This study utilized five active markers to reconstruct the lower extremities' activity during motion, one action camera at 60 fps, and a workstation. This study was also constrained by using three cycles of march song at 115 bpm. Direct Linear Transformation was used to obtain the intrinsic factor of the camera to reconstruct the motion. Evaluating the angular kinematic parameters of relative knee and ankle angle, the authors found the relative knee angle has increased from 110° to around 130°, which happened at the second song cycle and kept stable at the rest of the song. This result brought the conclusion that more extended derap motion would tend to a steady condition of relative knee angle and suggested that the subject should begin with 130° of relative knee angle to give less effort on marching.
Analisis Statik Bus Konversi Listrik Berbasis Ladder Frame Chassis Arpi, Ilman; Dwianto , Robby; Budiman, Bentang Arief
Mesin Vol 29 No 2 (2023)
Publisher : Faculty of Mechanical and Aerospace Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/MESIN.2023.29.2.5

Abstract

Konversi kendaraan Internal Combustion Engine (ICE) menjadi kendaraan Listrik dapat mempercepat peningkatan jumlah populasi Electric Vehicle (EV) yang mengurangi emisi gas carbon. Makalah ini menjelaskan proses analisis statik yang merupakan salah satu bagian penting saat mengkonversi bus berbasis ICE menjadi bus listrik. Bus yang dikonversi perlu memperhatikan pembebanan statik, khususnya berat dan posisi Center of Gravity (CoG) pada struktur sasis karena mempengaruhi performa Bus. Penimbangan massa dilakukan pada sasis untuk mengetahui letak CoG setiap kondisi. Massa sasis dengan muatan komponen elektrik setelah ditimbang adalah 2774 kg sedangkan massa sasis model CAD 2760,78 kg. Persentase error massa sasis pada CAD terhadap massa sasis hasil pengukuran cukup baik, yaitu 0,48%. Total perhitungan massa komponen elektrik dan upperstructure adalah 1612 kg dan 2854,4 kg. Analisis distribusi beban sepanjang sasis menggunakan pendekatan Finite Element Analysis dengan menerapkan metode analisis linear statik. Pembebanan komponen elektrik menghasilkan maksimum displacement 3,49 mm, von Mises stress 78,47 MPa dan reaction force -577,4 N pada sasis. Sedangkan, pembebanan total dengan menambahkan upperstructure menghasilkan maksimum displacement 4,58 mm, von Mises stress 83,95 MPa, dan reaction force -1174 N dengan nilai safety factor 5,24. Perbandingan error nilai defleksi suspensi depan dan belakang antara simulasi dengan teoritik adalah 4,99% dan 4,93%. Hasil investigasi menunjukan nilai kekakuan pada suspensi pegas daun depan dan belakang masing-masing sekitar 285 N/mm dan 320 N/mm. Selain itu, struktur sasis dengan pembebanan total mengalami tegangan maksimum di sekitar suspensi belakang.  
Multi-Objective Finned-Tube Heat Exchanger Optimization Using a Genetic Algorithm Suyatna, Nadiyah Rizki; Juangsa, Firman Bagja; Darmanto, Prihadi Setyo
Mesin Vol 29 No 2 (2023)
Publisher : Faculty of Mechanical and Aerospace Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/MESIN.2023.29.2.4

Abstract

Heat exchangers are a significant component in many industries, particularly in energy conversion systems. The design of heat exchangers itself is a complex process because it involves experience-based decisions, numerous variables and parameters, and some of them are competing with each other. Genetic Algorithms (GAs) are one of the first evolutionary algorithms which remains one of the most extensively used non-linear optimization methods today. This study explores the implementation of Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for thermal design and optimization of a finned-tube heat exchanger. The chosen objective functions were minimizing the heat exchanger volume and minimizing the air side pressure drop. The decision variables for the design were tube outer diameter, number of tube rows, fin pitch, unit height, and unit width. The calculated parameters and estimated cost of both preliminary design and optimized design were also compared. The optimized design offered a bigger alternative design while meeting all the constraints according to standards and industrial needs. The optimization reduced annualized operational and maintenance costs by 228% and lowered air pressure drop by 413% with bigger heat exchanger volume of 12% compared to the preliminary design.
A Review of Valorization of Okara and Okara Nanocelullose Derived from Soybean Industrial Waste for Biosorbent Applications Puspitasari, Dita; Asri, Lia Amelia Tresna Wulan; Syarif, Nur Fadhilah
Mesin Vol 29 No 2 (2023)
Publisher : Faculty of Mechanical and Aerospace Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/MESIN.2023.29.2.2

Abstract

Solid waste from tofu production, also known as okara, has numerous applications and can produce high-value-added products. However, the utilization of okara in Indonesia is not yet significant. This written work proposes okara as a source of nanocellulose to produce wastewater adsorbents in freshwater by fabricating it as aerogels and hydrogels. Wastewater is highly hazardous to the environment and living organisms as it can contain saturated salts, heavy metals, organic compounds, oil emulsions, dyes, and even microbes as pollutants that can lead to various diseases or death. Therefore, research on biosorbents is always a hot topic. Biosorption is the process of binding metal ions into the cellular structure of biological materials. Lignocellulosic biosorbents have high adsorption properties due to their ion exchange capability. Okara biosorbent can increase the absorption capacity of Pb2+ ions by up to 20% compared to conventional absorbents. The soybean skin component could also remove contaminated textile dyes from water. Additionally, the low lignin content in okara makes it easier to utilize than other lignocellulosic materials. This research study also shows that okara-based nanocellulose aerogels can maintain their shape or exhibit full shape recovery properties even after being used repeatedly.
Drag Minimization of Low Subsonic Airfoil with Constrained Genetic Algorithm Dwianto, Yohanes Bimo; Pramutadi, Ardanto Mohammad
Mesin Vol 29 No 2 (2023)
Publisher : Faculty of Mechanical and Aerospace Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/MESIN.2023.29.2.3

Abstract

Drag minimization of low subsonic airfoil was conducted with constrained genetic algorithm (CGA). To cope with the constraints, each of these two different types of constraint handling techniques (CHTs), namely Superiority of Feasible Individual (SoF) and Generalized Multiple Constraint Ranking (G-MCR) were employed to the CGA and compared. From three independent runs for each CHT, it was obtained that G-MCR performed significantly better than SoF, indicating that G-MCR, a novel type of CHT, provides better exploration of the design space to obtain better solution. The obtained best airfoil designs were compared with a baseline airfoil and analyzed. The best optimum airfoil increases the aerodynamic efficiency by 21.4%. It was observed that the reduction of drag only occurs locally, so that a robust optimization is required in the future.

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