International Journal of Innovation in Mechanical Engineering and Advanced Materials
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93 research outputs found
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OPTIMIZATION OF MACHINING PARAMETERS ON THE SURFACE ROUGHNESS OF ALUMINUM IN CNC TURNING PROCESS USING TAGUCHI METHOD
In this research, Taguchi method is employed by focusing on spindle speed, feed rate, and depth of cut to optimize the CNC turning parameters for aluminum alloy 6063. The main goal of this study is to improve the surface roughness of the material. A L9 orthogonal array is used for experimentation, and the results are subsequently analyzed using ANOVA (Analysis of Variance). A spindle speed of 1300 rpm, a feed rate of 0.5 m/min, and a depth of cut of 1.5 mm are the optimal conditions to achieve the minimum average surface roughness (Ra). The main effect plot of the signal-to-noise (S/N) ratio provides significant evidence supporting the primary research goal. Furthermore, the ANOVA table reveals that spindle speed contributes 59.71%, feed rate contributes 29.80%, while depth of cut only contributes minimally at 0.72%. Based on the research findings, spindle speed and feed rate can be adjusted to control surface roughness. Both factors are highly significant in influencing the surface roughness of the material. The prediction equation from the linear regression analysis is Ra = 1.745 – 0.001024 spindle speed + 0.3000 feed rate – 0.0233 depth of cut. A coefficient of determination or R-squared value of 0.9115 indicates that the independent variables can explain 91.15% of the variation in the dependent variable. The experimental and predicted surface roughness (Ra) values have a predicted error percentage of 2.26%
DEVELOPMENT OF A PORTABLE MOTOR VEHICLE EMISSION TEST SYSTEM BASED ON ARDUINO WITH ANDROID INTERFACE
This study takes a comprehensive approach by proposing the design of an innovative emission test tool for motorized vehicles. The primary objective of this tool's design is to establish an alternative emission testing apparatus based on Arduino AT-Mega 2560, proficient in capturing vehicle exhaust emissions. The underlying methodology involves an in-depth investigation of various components, including the MQ2 and MQ7 sensors, microcontrollers, and supplementary sensors. This meticulous observational process aims to unravel the fundamental principles that govern the functionality of these components. Subsequently, the study advances to the prototyping phase, manifesting in the creation of an Android-based emission test system. This system capitalizes on the integration of Arduino programming and App Inventor technology. The integrated system is devised to facilitate sensor data acquisition. The empirical results of the tests indicate that the developed tool effectively measures hydrocarbon gas and carbon monoxide gas concentrations, yielding readings of 6.31% and 3.73%, respectively, under engine conditions ranging from 1500 to 3000 rpm with error in regions 1.4% and 5.1% compared to a commercial instrument. However, during the testing phase, certain challenges surfaced. Notably, the presence of water particles within the tool, coupled with the generation of heat due to the accommodated exhaust gases, increased the temperature within the tool's enclosure. Consequently, the sensors' temperature escalated, resulting in erratic sensor behavior and unstable readings. Nonetheless, a significant advantage of the proposed tool lies in its real-time data visualization capability, which is particularly accessible through Android smartphones. This feature enhances the immediacy of test results, facilitating prompt analysis and decision-making. In conclusion, this study lays the groundwork for an innovative emission testing tool that demonstrates promise in addressing the air quality degradation stemming from vehicular emissions
EFFECT OF SiO2 AND ZnO NANOPARTICLES TO INCREASE REFRIGERATION MACHINE PERFORMANCE
In this investigation, the impact of silicon dioxide (SiO2) and zinc oxide (ZnO) nanoparticles on the performance of a refrigeration machine system was systematically examined. The focus was on evaluating the coefficient of performance (COP) concerning the utilization of a polyolester (POE) lubricant, R600a refrigerant, and distinct nanoparticles (SiO2 and ZnO) within the refrigeration system. The nanoparticles were individually introduced into the R600a refrigerant in masses of 0.5 g, 1.0 g, and 1.5 g. The experimental outcomes demonstrated a noteworthy enhancement in COP with the addition of nanoparticles. Specifically, the introduction of 1.5 g of SiO2 resulted in a substantial increase of 25.88% in COP, marking it as the most influential dosage. Similarly, the addition of 1.0 g of ZnO led to a significant COP increase of 13.6%, representing the optimal quantity for ZnO. Furthermore, the inclusion of 1.5 g of SiO2 brought about a remarkable reduction in energy consumption, with a decrease of 25.58%, while 1.5 g of ZnO resulted in a notable 16.28% decrease in energy consumption. The experimental configuration involved the use of 20 g of refrigerant and 500 ml of POE lubricant. Comparative analysis demonstrated that the refrigeration system incorporating nanoparticles outperformed the conventional R600a refrigeration system devoid of nanoparticles. This study contributes valuable insights into the potential enhancements in refrigeration system efficiency through the strategic incorporation of SiO2 and ZnO nanoparticles, offering a promising avenue for optimizing the performance of refrigeration technology
IMPLEMENTATION OF THE FINITE ELEMENT METHOD IN SOLIDWORKS TO OPTIMIZE THE FRONT CAST WHEEL DESIGN FOR MOTORCYCLES
Cast wheel rims often experience damage that causes damage to the lip of the rim, or the spokes rupture if it supports the excessive load. The safety aspect is very important to be considered in the automotive industry because it involves the lives of passengers. Structural optimization of various vehicle components has shown that component weight strongly influences vehicle performance. Based on these problems, this research aims to design a lightweight cast wheel design model that can withstand a load of 535 N. So, it is necessary to make an analysis using a comparison of design models and material variations and static simulations using Solidworks 2018 software. The results sought are von mises, displacement, strain, a factor of safety, and produce a lightweight design. The simulation results on the three models are still safe in holding a load of 535 N because the value of the factor of safety is not less than 1. The results of the design mass with material variations are lighter than the original wheels
DESIGN OF A 10 TONS OVERHEAD CRANE WITH 21 METERS SPAN USING FINITE ELEMENT METHOD
A crane is a lifting equipment widely used to move cargo, construction sites, storage, and unload. The type of crane that is commonly used in industrial environments is the overhead crane. The overhead crane functions as a lifting device. Besides that, it also works as a load transfer tool even though the load being moved is limited to an environment that is not too large (indoor) at PT. A overhead crane is designed to overcome the problem of moving material in the mold storage area due to the area's expansion and the addition of 5-7 tons of mold material. Therefore, proper design is needed so the overhead crane can function properly. The design method uses the VDI 2221 or Finite Element with Solid works software. The results of the structure obtained are double box girder type girders with dimensions p = 21 m, t = 1224 mm, and l = 600 mm. The deflection results are 13.75 mm, and the runway uses steel profile I with dimensions 400 x 200 x 8 x 13 mm, with a deflection value at the runway stem of 5.6 mm. The type of wire rope used is type 6 x 37, with a diameter of 28 mm. The stress that occurs in the steel rope is 4306.1 Kg, less than the maximum allowable tensile stress of 8009.4 Kg. The single hook type with a hook diameter of 120 mm is made of material S45C. The tensile stress on the hook is 0.88 Kg, and the result is smaller than the allowable tensile stress of 12.72 Kg. The pulley diameter is 630 mm, the drum diameter is 604.9 mm, and the drum length is 279 mm
PLANNING STUDY OF HYBRID POWER PLANT SOLAR PV-DIESEL GENERATOR ON KODINGARE ISLAND, SINJAI REGENCY
Kodingare Island is located in Pulau Sembilan District, Sinjai Regency, one of nine islands. Currently, most people still rely on conventional energy from diesel power plants. The reason is that this island does not yet receive an electricity supply from the electricity grid due to the geographical limitations of the archipelago. It is known that the most potential renewable energy source on Kodingare Island is solar energy, with a potential for solar radiation reaching 5.86 kWh/m2/day. This research aims to analyze an innovation that combines PV and solar, where PV acts as the main electricity generator, while solar functions as a backup and additional energy source. The method used in this research uses simulation methods, layout modeling, and financial analysis using HOMER Pro simulation software to determine the potential and performance of hybrid power plants and SketchUp Pro software to produce three-dimensional layouts and economic and feasibility values obtained through financial analysis. Technical aspects include producing an electrical energy system of 37,029 Wh/year, consisting of PV of 32,981 Wh/year and solar of 4,048 Wh/year with energy consumption of 33,850 Wh/year. The required fuel consumption is 2,086 L/year, with excess electricity of 931 kWh/year and renewable energy penetration of 89.1%. From an economic perspective, planning this hybrid power system requires an investment of 258.290.000 IDR, O&M costs of 19.350.600 IDR, and the cost of energy value of 1,352/kWh IDR. In contrast, from the feasibility aspect of planning a hybrid electric power system, it is said to be feasible because it produces a Net Present Value of 9,870,151 IDR, is more significant than zero, the Profitability Index is 1.03 greater than one, the Internal Rate of Return is 8.90% greater than the credit interest rate of 8.43% and the Payback Period required for return of capital is nine years nine months
STRENGTH ANALYSIS OF A WUXI TUNNEL SHAFT USING FINITE ELEMENT METHOD
The Wuxi Tunnel is a machine for producing mochi ice cream from China. One of the most important components in the ongoing production is the shaft. A shaft is a stationary rotating part, usually of a circular cross-section, to which elements such as gears, pulleys, cranks, sprockets, and other rotational transfer elements are attached. The load received by the shaft comes from the product and materials. The load was too heavy and worked continuously, resulting in the shaft breaking 3 times and not being straight. The purpose of this research is to analyze the shaft to determine the type of material and recommended dimensions so that the strength of the shaft is maintained and to determine the stress that occurs on the shaft due to the load from the product and other materials. The research method used in this study is the finite element method using Autodesk Inventor Pro software and manual calculations so that later, the results of the type of material and dimensions suitable for the shaft will be used. The analysis results show that the shaft can withstand loads at a diameter of 50 mm on the type of material AISI 4340 Annealed. The von Mises result for manual calculations is 294.2578 MPa, and the von Mises result for finite elements is 275.5 MPa. The allowable stress is 470 MPa. So that, AISI 4340 material with a recommended large diameter of at least 50 mm is a safe shaft limit that can be used at PT. X because the von Mises value is lower than other types of materials, and a safety factor of 1.71 is more than >1
MECHANICAL STUDY OF 9CR-SS316L-1MO MATERIAL FOR CLADDING NUCLEAR FUEL POWER REACTORS
In this research, SS316 steel and modified 9Cr-1Mo steel were developed. The aim is to analyze the results of the hardness test, impact test, bending test, and microstructure. The Mo element was chosen because it has a relatively small microscopic cross-section of the neutron, which is 2.6 barn. The element Mo is in the same periodic period as Zr and Nb, so that the mechanical properties and so on are not much different. In this study, samples of SS316L steel and modified 9Cr-1Mo steel were made. Samples material of 90% SS316L + 9% Cr + 1% Mo were melted by electric arc melting. Tempering was carried out after the smelting process was completed. The sample consisted of 6 pieces, 1 sample did not receive tempering treatment while the other 5 samples received tempering treatment at 100°C, 200°C, 300°C, 400°C, and 500°C. The samples were tested using various methods including Rockwell hardness test, impact test, microstructure test, bending test, and examination of other properties of the material samples. Hardness, impact, and bending test results as well as the samples microstructure were analyzed. The highest decrease in hardness value was in specimen 1 (non-treatment) which was 21.33 HRc and the lowest decrease was in specimen 6 (heat treatment at 500°C) which was 16.66 HRc. For the results of the impact energy test (EI) with an average value, there was not too much difference, namely the highest value was 1.0034 joules/mm2 in specimen 2 (heat treatment at 100°C) and the lowest value was 1.0020 joules/mm2 in specimen 6 (heat treatment at 500°C). The results of the microstructure test showed that the ferrite and pearlite content is still present in the test object. The highest bending test result in sample 6 with 500°C tempering had a maximum load-bearing strength of 1050 Newton so that the bending strength was 7875 kgf/cm2 and the lowest result was in sample 1 without tempering having a maximum load-bearing strength of 670 Newton so that the bending strength was 5025 kgf/ cm
BIODIESEL PRODUCTION FROM WASTE FISH CANNING OIL USING COCOPEAT ASH CATALYST
Biodiesel is an environmentally friendly alternative fuel for diesel engines. The research studies the extraction process of biodiesel from waste produced by a fish canning factory using a heterogeneous catalyst known as cocopeat ash. The experiment was designed utilizing a completely randomized design with two factorial treatments and four repetitions. The primary factor under investigation was the composition of the catalyst, specifically 3%, 5%, and 7% w/v methanol. The second factor examined was the reaction time of either 60 minutes or 120 minutes. Data analysis revealed variations in density, viscosity, acid number, and Free Fatty Acids (FFA) in fish oil before and after refinement. The treatment that yielded the highest results was A3B2, featuring a catalyst composition of 7% and a reaction time duration of two hours, which achieved an impressive biodiesel yield of 81%. Moreover, several parameters tested for compliance with SNI-04-7182-2015 standards showed positive outcomes. These parameters include a density value measuring 876.3 kg/m³, the flash point around 160°C, iodine number reaching 16.36 g/100g, and heating value 47.47 MJ/Kg
CFD SIMULATION FOR AIRSPEED AND TURBULENCE VALIDATION IN MAIN DUCTING OF OFFICE BUILDING
This paper focuses on the calculation of sizing ducting based on cooling load requirements the main ducting of office building following regulation airspeed requirements using American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) and Computational Fluid Dynamics (CFD) simulations. The purpose of this research is to validate the airspeed and turbulence that occurs in the main ducting between manual calculations and CFD simulations. From the calculation, the cooling load requirement is 58.22 kW, for the cooling process an air flowrate of 7117 L/s is needed which is designed to pass through the main ducting in rectangular shape. The main ducting size uses 1200 mm x 500 mm at a speed of 12.7 m/s according to ASHRAE. Autodesk Inventor software is used for ducting modeling and Autodesk CFD is used for airflow simulation. CFD simulations are performed by applying boundary conditions and input parameters. The results showed that the velocity of the ducting design was suitable at 12.7 m/s with laminar flow. The ducting geometry must be designed aerodynamically to reduce the pressure drop which can cause the speed to increase so that it is outside the required limits. Thus, the CFD simulation results have verified the validity of manual calculations