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JMES The International Journal of Mechanical Engineering and Sciences Editorial Office Jurusan Teknik Mesin, ITS Kampus ITS Sukolilo Surabaya 60111 Building C, Floor 2 Indonesia
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Kota surabaya,
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JMES The International Journal of Mechanical Engineering and Sciences
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25807471     DOI : https://dx.doi.org/10.12962/j25807471
Core Subject : Science, Engineering,
Energy Materials Science & Nanotechnology Mechanical Engineering
Topics covered by JMES include most topics related to mechanical sciences including energy conversion (wind, turbine, and power plant), mechanical structure and design (solid mechanics, machine design), manufacturing (welding, industrial robotics, metal forming), advanced materials (composites, nanotube, metal foam, ceramics, polymer), metallurgy (corrosion, non-destructive testing, heat treatment, metal casting), heat transfer, fluid mechanics, thermodynamics, mechatronics and controls, advanced energy storage and devices (fuel cell, electric vehicle, battery), numerical modelling (FEM, BEM).
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 181 Documents
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Numerical Study of Three-Dimensional Flow Characteristics in Isolation Rooms with Negative Pressure Differences Wawan Aries Widodo; Satryo Fadhian Shidqi Nugroho
JMES: The International Journal of Mechanical Engineering and Sciences Vol 7 No 2 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v7i2.10675

Abstract

This paper will discuss computational fluid dynamics (CFD) modeling regarding a patient isolation room design with negative pressure. This model was made after conducting independence tests and validation data on several existing room designs. The room design is simulated with variations in pressure differences -2.5 Pa, -5 Pa, -8 Pa, and -15 Pa, respectively, and variations in the position of one bed and two beds. The results show that the stagnation flow that occurs in the isolation room with a two-bed configuration is a lot happens and in a dangerous position than the stagnation flow that occurs in the isolation room with a one-bed configuration. The greater the pressure difference used, the more uniform the pressure in the room. The conclusion is that the distribution of pressure difference variations has the same trend on the velocity and temperature distribution graph, then the pressure difference variation of -15 Pa has the best pressure distribution. Variations in bed position configuration affect the characteristics of airflow in the room. The velocity, pressure, and temperature along the bed are still within the patient's comfort limit.
"Water-In-Salt" Electrolyte For High Temperature Aluminum Ion Battery Application Sylvia Ayu Pradanawati; Dinny Harnany; Faizal Fatah; Nur Layli Amanah Amanah
JMES: The International Journal of Mechanical Engineering and Sciences Vol 7 No 2 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v7i2.18477

Abstract

This study focuses on examining aluminum chloride hexahydrate (AlCl3·6H2O) as an electrolyte salt in an Aluminum Ion Battery. The goal is to assess the effectiveness of AlCl3·6H2O as an electrolyte in an Aluminum Ion Battery, evaluate the battery's performance, and examine the anode and cathode properties of an Aluminum Ion Battery. Laboratory tests and literature analysis are the approaches used. Following cyclic voltammetry testing, it was shown that the water-in-salt electrolyte AlCl3 performed better than the 1M AlCl3 electrolyte. Compared to the 1M AlCl3 electrolyte, the hydrogen evolution reaction in the water-in-salt electrolyte AlCl3 has a smaller potential range. The cyclic voltammetry graph of an aluminum ion battery containing a water-in-salt AlCl3 electrolyte is noticeably smaller than that of an aluminum ion battery with a 1M AlCl3 electrolyte. It has been observed that the water-in-salt AlCl3 electrolyte requires more activation energy compared to the 1M AlCl3 electrolyte. Based on SEM-EDS data, using water-in-salt electrolyte AlCl3 for aluminum ion batteries is better as it does not cause significant defects in the anode and cathode.
Numerical Analysis on Flexibility of Unexpanded Balloon-Expandable Stent Ilham Agung Aribowo; Varien Janitra Nuralif Susanto
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.11371

Abstract

A stent is a mesh of micro metal tube commonly used to provide support to an enlarged blood vessels that are narrowed due to plaque growth. To function correctly, a stent must have specific characteristics, which includes good flexibility. The flexibility of the stent can be predicted using the finite element method simulation. The type of stent studied are the sinusoidal and spiral type balloon-expandable stent. The 3D model is created in Solidworks 2016, while the structural analysis is performed with ANSYS Workbench Student R18. The simulation carried out is a four-point bending test. The analyzed parameters are the von Mises stress and the flexibility value of the stent. The material model for the stent is isotropic SS 316 L, while the balloon was polyurethane which is modeled as hyper-elastic material. The results obtained from this study are sinusoidal type stents can be deflected up to 0.221 mm to remain in the elastic area, while spiral type stents can be deflected up to 0.109 mm. The maximum flexibility value of the sinusoidal type stent is 0.003526 N-1.mm-2 while the spiral type stent is 0.002478 N-1.mm-2.
Optimization Design Analysis of Boiler Blowdown Utilization on A Rotary Coal Dryer with Drum Tilt Angle Variations Alvin Mizrawan Tarmizi; Bambang Arip Dwiyantoro; Aripin Gandi Marbun
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.12046

Abstract

Numerical Study of Deflection and Stress Distribution on Composite Box Spar Structure – Application In Wind Turbine Blade Putri Safina Ufaira; Putu Suwarta; Galih Bangga
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.10648

Abstract

Numerical Study of Blended Winglet Geometry Variations on Unmanned Aerial Vehicle Aerodynamic Performance Fungky Dyan Pertiwi; Arif Wahjudi
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.12317

Abstract

An unmanned aerial vehicle (UAV) is an unmanned aircraft that can be controlled remotely or flown automatically. Nowadays, the use of UAVs is extensive, not only limited to the military field but also in civilian tasks such as humanitarian search and rescue (SAR) tasks, railroad inspections, and environmental damage inspections. Therefore, study on UAV becomes essential to answer the challenges of its increasingly widespread use. This study explores the addition of a blended winglet on the swept-back wing of the UAV. It is to predict the effect of the aerodynamic performance. The backpropagation neural network (BPNN) method helps to predict the aerodynamic performance of the UAV in the form of a lift-drag coefficient ratio (CL/CD) and drag coefficient at 0O angle of attack (CD0). It is based on blended winglet parameters such as height, tip chord, and cant angle. The obtained BPNN modeling has a network architecture of 3 inputs, 2 hidden layers, and 1 output with a mean square error (MSE) of 4.9462e-08 and 4.4756e-06 for the relationships between blended winglet parameters with CL/CD and CD0, respectively.
Study of Coal Drying Characteristics Using Boiler Blowdown in a Rotary Coal Dryer Aripin Gandi Marbun; Bambang Arip Dwiyantoro; Alvin Mizrawan Tarmizi
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.12053

Abstract

Drying lignite coal to reduce its moisture content has become popular in the last decade. Previously, coal dryers used typical energy such as steam, fuel, or electrical as heat sources. Waste energy had never been implemented in a coal dryer while using it would reduce the cost of production and raise the economic value of the coal itself. An experimental study of drying low-rank coal was conducted using waste energy boiler blowdown in a rotary coal dryer. With variations of 0.595 mm, 1.18 mm, and 4.75 mm coal particle size and the flow's changes of 20 kg/hour, 30 kg/hour, and 40 kg/hour. The hot air temperature of 70oC, mass flow rate of 36 kg/hour, and pressure of 0,03 MPa were the constant parameters on the 15 rpm rotary drum. The results found that the coal moisture decreased significantly at 0.595 mm particle size and 20 kg/hour of flow. The final coal moisture dropped by 20.685%, and the calorific value increased by 879.6 kcal/kg from its initial value. In addition, the efficiency of the rotary coal dryer is 81.8%.
Analysis of Seal Face Formation Parameters using Powder Metallurgy Technology with Taguchi Method and Gray Relational Analysis Kurniawan Kurniawan; Mohammad Nurdin; Otto Purnawarman; Fachrul Rozy
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i2.11890

Abstract

The seal face is the main component of a mechanical seal to prevent leakage in a system with fluid flow. Seal face manufacture is generally produced by the material removal process, which causes some raw material waste. Powder metallurgy is the process of manufacturing products from metal powders with raw material efficiency of up to 97%. This study discusses the relationship between the manufacturing process parameters of seal face with SiC material through a powder metallurgy process as a substitute for manufacturing by material removal. The approach used in this research was the design of experiments with the Taguchi method and the technique of Gray Relational Analysis. Process parameters controlled were compaction pressure (CF), compaction time (CH), sintering temperature (ST), and sintering time (SH). Responses were measured in the form of surface hardness (HV) and density. The combination of process parameters that produces the optimum response is CF = 408 N/mm2 (level 3), CH = 2 min (level 1) ST = 1050°C (level 3), SH = 120 min (level 2) with contribution of process parameters CF = 38.06%, CH = 2.53%, ST = 49.50%, and SH = 9.91%. The optimum surface hardness and density values were 513.03 HV and 3.04 gr/mm3.
Effect of Diffusers Installation in Inlet Primary Air Coal Pulve R. Panji Satrio Wening Galih; Bambang Arip Dwiyantoro
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i2.12045

Abstract

This paper investigates the effect of installing several diffuser models in the pulverizer ZGM123-GII inlet ducting on air flow characteristics and wear concentration. Results of the internal check found that an area of the wall and the surrounding components were wearing abnormally or faster than usual. This condition will affect the availability of the pulverizer. There are 6 variations model used in this study to solve this problem. The 2 variations in the number of blade, there are 2 and 3 blades, combined with 3 angle variations, namely 30o, 45o, and 50o. In this study, the viscous k-omega SST model was used to simulate airflow from the primary inlet to the area above the throat ring. The results show the contours of velocity of the air and the velocity vector on the pulverizer. Model with an angle of 45 degrees and the number of blade 3, is able to circulate air dominantly on the left side of the primary air inlet ducting, according to the reference study. From all variations, the model 45o angle with 3 blades and 50o angle with 3 blades are able to overcome the wear concentration problem.
Engine RPM and Battery SOC Activation Optimization in Hybrid Vehicle Energy Management System Utilizing BPNN - Genetic Algorithm and BPNN – Particle Swarm Optimization Rhema Adi Magiza Wicaksana; Bambang Sudarmanta; Mohammad Khoirul Effendi
JMES: The International Journal of Mechanical Engineering and Sciences Vol 6 No 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i2.12360

Abstract

The energy used in the hybrid vehicle needs to be regulated to gain further mileage and lower fuel consumption. It is achieved by selecting the correct levels of hybrid energy management system (EMS) parameters (i.e., vehicle speed, engine RPM, and activation State of Charge (SOC) of battery). This study focused on the modeling and optimization of Sepuluh Nopember Institute of Technology (ITS)’s series plug-in hybrid electric vehicle (PHEV) car mileage and fuel consumption by comparing the backpropagation neural network (BPNN) method – genetic algorithm (GA) and BPNN – particle swarm optimization (PSO). The BPNN was used to model the character of ITS’s series PHEV EMS and predict mileage and fuel consumption. The BPNN’s model obtained the best EMS parameters, most extended mileage, and minimum fuel consumption. The result of the validation experiment showed that both the integration of BPNN - GA and BPNN - PSO were able to predict and optimize the multi-objective characteristic with the same results.

Page 13 of 19 | Total Record : 181

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