International Journal of Innovation in Mechanical Engineering and Advanced Materials
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Comparative Analysis of Cooling Load Calculations: CLTD Method vs. Carrier HAP 5.01 Software for Hotel HVAC Design
This study examines the cooling load requirements of a hotel building by comparing two methodologies: the traditional Cooling Load Temperature Difference (CLTD) method and the Carrier Hourly Analysis Program (HAP) 5.01 software. The primary objective is to validate the accuracy and reliability of these methods in calculating cooling loads across different room types, from standard rooms to larger, more complex suites. The results show that the CLTD method consistently yields higher cooling load estimates, with discrepancies ranging from 3% to 14% compared to HAP 5.01 calculations. These differences are most significant in larger rooms, such as suites and owner’s suites, which have more extensive glass areas, higher occupancy, and more heat-generating equipment. The findings indicate that while the CLTD method is valuable for quick, preliminary estimates, the HAP 5.01 software provides a more precise and comprehensive analysis, taking into account hourly variations, equipment schedules, and other factors that impact cooling loads. This research highlights the need for careful selection of the appropriate calculation method to ensure the efficient design of HVAC systems, maximizing energy efficiency, and maintaining occupant comfort. The study concludes that for projects requiring high accuracy, particularly in complex or large spaces, dynamic simulation tools like HAP 5.01 are preferable. Detailed cooling load results and comparisons are provided in the supplementary documentation, offering further insights into the analysis and its implications for HVAC design
Performance Evaluation of a Condenser at a Combined Cycle Power Plant Using the LMTD Method
This study evaluates the performance of the condenser at the Cilegon Combined Cycle Power Plant (CCPP) using the Logarithmic Mean Temperature Difference (LMTD) method to measure the heat transfer rate. Routine maintenance carried out on the condenser in the form of cleaning the condenser water box and condenser tube from garbage and crust on the condenser tube wall. Currently, condenser maintenance follows a routine schedule that is tied to steam turbine maintenance, without taking actual condenser performance into account. This can lead to inefficiencies and unnecessary downtime. The goal of this research is to assess the heat transfer rate of the condenser before and after maintenance to judge its effectiveness. Data on temperature changes were gathered in June 2023, before maintenance, and again in July 2023, after an overhaul. The analysis shows that the heat transfer rate increased from 51,362,294.48 kcal/h to 127,246,219.7 kcal/h, while the LMTD value rose from 0.76°C to 1.86°C. Based on these results, the study suggests a new approach to maintenance that focuses on performance. Specifically, maintenance should be done when the heat transfer rate drops below 110,000,000 kcal/h. This approach will help ensure the condenser works at its best, improve the plant's overall efficiency, and prevent the need for unnecessary maintenance. By aligning maintenance with performance data, the plant can boost output while lowering costs and downtime
Optimization of Titanium Recovery from Tin Tailings Using Flotation Route
Titanium has found widespread application across various industries due to its high corrosion resistance. It is commonly used in dental equipment, surgical instruments, bone implants, and marine components, and serves as an engine material in high-temperature environments. Because of its lighter weight compared to steel, titanium has also replaced stainless steel in many construction materials. In Bangka Island, Indonesia, tin tailings have been identified as a potential source of titanium, making the analysis of titanium in these tailings highly significant. This study employed the froth flotation method, known for its simplicity, speed, and cost-effectiveness, to analyze titanium content from tin tailings. Sodium oleate was used as the frother and collector, while sodium chlorate acted as the depressant. The mass ratios of depressant to collector were varied at fixed collector amounts (1:10, 5:10, 10:10, and 15:10) and fixed depressant amounts (10:3, 10:6, 10:9, and 10:12). The highest titanium concentration (2.03%) was achieved with a mass ratio of 10:12, while the optimal titanium recovery (45.51%) in the concentrate occurred with equal amounts (3.75 g) of depressant and collector, or at a mass ratio of 10:10, at 15 minutes of flotation time and neutral pH. X-ray fluorescence (XRF) and X-ray diffraction (XRD) analyses indicated that the tin tailings primarily contained silicate and zircon minerals, with traces of titanium in the form of rutile, ilmenite, and titanate. These findings contribute valuable insights for future titanium extraction and processing industries
Heat Mapping and Plastic Strain Radius Modeling of Dual-Tool Friction Stir Welds 6061 Aluminum Alloy Plate Using FEM
This study investigates the effects of Dual-Tool Friction Stir Welding (DT-FSW) parameters on the weld quality of 8 mm thick 6061 aluminum alloy plates, specifically focusing on the elimination or minimization of the "pass-overlap zone" that’s a gap typically observed at the mid-section of the weld cross-section resembling characteristics of the Heat-Affected Zone (HAZ). To address ongoing debates regarding the optimal joint performance concerning this overlap, symmetric increases in the dimensions of both FSW tools were implemented to analyze resultant temperature fields and plastic strain adaptations at the weld interfaces. Simulation visualizations were conducted with tool density variations at intervals of 0.2 mm and 0.4 mm. Results indicate that increasing tool density, thereby reducing the distance between tool surfaces, leads to a decrease in peak temperatures generated during welding. This reduction in temperature correlates with a more uniform distribution of plastic strain rates across all layers of the material—upper, middle, and lower—with the leading edge exhibiting the most significant improvement in strain uniformity. Conversely, during the stabilization phase, a decrease in tool density (S) results in a reduction of the maximum equivalent plastic strain rate. These findings suggest that careful adjustment of tool density in DT-FSW processes can enhance weld quality by promoting more uniform mechanical and thermal properties across the joint
Impact of Extended Intervals on Diesel Engine Performance with 15W-40 DH1 Lubricant Oil
Engine lubricant oil is crucial for minimizing friction between moving components within an engine, directly influencing the engine's reliability and lifespan. Determining the appropriate oil replacement intervals is essential, as extending these intervals necessitates more rigorous monitoring of both oil quality and engine condition. This study investigated the performance of SAKAI 15W-40 DH1 engine oil in the SAKAI Vibrating Roller SV526 over varying operational periods: 125 hours, 250 hours, 375 hours, and 500 hours. The research involved analyzing oil samples for viscosity, metal additives, total base number (TBN), and contaminants using Fourier Transform Infrared Spectroscopy (FTIR). Additionally, key engine performance indicators, including fuel consumption, valve clearance, and compression pressure, were measured. The findings revealed a gradual decrease in oil viscosity from 13.48 cSt to 11.56 cSt, approaching the minimum acceptable threshold of 11.45 cSt. Concurrently, the Fe content in the oil increased to 11 ppm, indicating wear, while the valve clearance in cylinder number three expanded to 0.48 mm, and compression pressure dropped from 31 kg/cm² to 28 kg/cm². Despite these changes, the oil remained within the standard operational limits, and the engine continued to perform adequately. However, based on the observed trends, extending the oil replacement interval to 500 hours cannot be conclusively recommended, as the oil's condition and engine performance may begin to decline beyond this point
COMPARING ROTATION-ROBUST MECHANISMS IN LOCAL FEATURE MATCHING: HAND-CRAFTED VS. DEEP LEARNING ALGORITHMS
The objective of this research is to conduct a performance comparison between hand-crafted feature matching algorithms and deep learning-based counterparts in the context of rotational variances. Hand-crafted algorithms underwent testing utilizing FLANN (Fast Library for Approximate Nearest Neighbors) as the matcher and RANSAC (Random sample consensus) for outlier detection and elimination, contributing to enhanced accuracy in the results. Surprisingly, experiments revealed that hand-crafted algorithms could yield comparable or superior results to deep learning-based algorithms when exposed to rotational variances. Notably, the application of horizontally flipped images showcased a distinct advantage for deep learning-based algorithms, demonstrating significantly improved results compared to their hand-crafted counterparts. While deep learning-based algorithms exhibit technological advancements, the study found that hand-crafted algorithms like AKAZE and AKAZE-SIFT could effectively compete with their deep learning counterparts, particularly in scenarios involving rotational variances. However, the same level of competitiveness was not observed in horizontally flipped cases, where hand-crafted algorithms exhibited suboptimal results. Conversely, deep learning algorithms such as DELF demonstrated superior results and accuracy in horizontally flipped scenarios. The research underscores that the choice between hand-crafted and deep learning-based algorithms depends on the specific use case. Hand-crafted algorithms exhibit competitiveness, especially in addressing rotational variances, while deep learning-based algorithms, exemplified by DELF, excel in scenarios involving horizontally flipped images, showcasing the unique advantages each approach holds in different contexts
Statistical Approach in Analyzing Fuel Efficiency of Diesel SUVs in Indonesia Using MATLAB
The scarcity of fossil fuels and the rising environmental concerns make improving fuel efficiency in the automotive sector a critical focus. Diesel Sport Utility Vehicles (SUVs) in Indonesia, known for their high fuel consumption, significantly contribute to these challenges. This research ad-dresses the problem by investigating the factors influencing fuel efficiency in diesel SUVs availa-ble in the 2024 Indonesian market. The primary objective is to analyze the impact of engine torque, vehicle weight, and engine capacity on fuel consumption. To achieve this, we employed MATLAB as a tool for statistical analysis, using specific algorithms such as linear regression, box plot, and correlation methods to model and evaluate the data. The study found that vehicle weight and engine capacity show a strong positive correlation with fuel consumption, indicating that larger engines and heavier vehicles consume more fuel. In contrast, engine torque was found to have a weaker correlation, suggesting that factors like aerodynamics and transmission efficiency may play a more significant role. These results provide valuable insights for manufacturers in de-signing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ulti-mately, this research contributes to the development of more sustainable transportation solu-tions by highlighting the importance of optimizing vehicle design and engine specifications to re-duce fuel consumption in the near term
Ride Test on Vehicles Travelling Over Speed Bumps: Simulation with CarSim Software
This study explores the effects of different speed bump geometries—flat-topped, sinusoidal, and parabolic—on vehicle dynamics and ride comfort using CarSim simulations. The analysis focuses on key parameters such as vertical forces on the suspension, vertical acceleration, and the wheel surface adhesion index. The results show that flat-topped bumps generate the highest vertical forces, reaching peaks of up to 6,000 N on the front suspension, leading to increased discomfort. Sinusoidal bumps, in contrast, generate smoother transitions, with vertical forces peaking at approximately 3,500 N, improving ride comfort. At vehicle speeds of 30 km/h, the vertical forces on the suspension increase significantly, with flat-topped bumps reducing the wheel surface adhesion index to as low as 0.6, indicating a higher risk of wheel slip and compromised vehicle stability. In contrast, sinusoidal bumps maintain a more favorable adhesion index of 0.85 at similar speeds. These reductions in adhesion elevate the risk of loss of control, especially at higher speeds. The findings suggest that adaptive suspension systems, capable of adjusting damping and stiffness based on the bump geometry and vehicle speed, would enhance ride quality and stability. Additionally, smoother bump designs, such as sinusoidal profiles, are recommended to reduce the impact on vehicle dynamics, particularly in urban environments. These insights contribute to improving both vehicle design and road safety, ensuring safer and more comfortable driving experiences
ANALYTICAL CALCULATION OF PULLEY AND V-BELT FOR RICE THRESHER POWERED BY MATARI MGX-390 GASOLINE ENGINE
In the agricultural industry today, a lot of tools with automatic transmission have become primary needs for many people. To be able to operate a rice threshing machine, one that can support the running of the tool is the pulley and V-belt on the driving machine. Therefore, this research aims to analyze the pulley and V-belt on the rice thresher with the Matari MGX-390 gasoline engine so that it meets the required criteria and applicable standards. Due to the important role of the V-belt and pulley components, this study will discuss calculations in the design of V-belt and pulley components for a rice thresher with a Matari MGX-390 gasoline engine. The method used is direct observation, to see directly the shape and specifications of the rice thresher machine as well as the Matari MGX-390 gasoline engine used, also to record the dimensions of the pulley and V-belt so that further analysis is carried out on these components, and it can be seen whether the pulley and the V-belt used can be declared safe. Then calculations are carried out to determine the type of V-belt used, V-belt length, maximum voltage, demand voltage, and service life on the V-belt used. Based on the results of the research and calculations that have been carried out, it shows that the V-belt used by the rice thresher with the Matari MGX-390 machine can be declared safe with the type of V-belt used as type A, with a length of 1,649.74 mm, a maximum tension of 138.8 N, voltage requirement 121 N, service life 14,055 working hours
ANALYSIS OF FIRE FIGHTING PUMP PERFORMANCE USING SNI 03-6570-2001 STANDARD ON SELF-CONTAINED HYDRANTS
Self-controlled hydrants are fire protection systems located in residential areas that function for early fire extinguishing. In a fire protection system, the pump plays an important role in supplying water from the reservoir to the end point of the installation. Fire pumps must always be in optimum condition and accordance with applicable standards. This study aims to analyze pump performance at current conditions in self-contained hydrants in the Palmerah District and then compare it with the performance that pumps should have in ideal conditions according to SNI 03-6570-2001 standards. The method used is a quantitative descriptive analysis method by comparing the current condition of the pump with applicable standards and conducting a direct survey of the location of the installed fire pump. The measuring instruments used in the study were a pressure gauge, control box, and pitot gauge. The results obtained through testing and calculating pump performance The pump installed on the self-contained hydrant in actual conditions with a total head of 86.62 m produces a flowrate of 0.0189 m3/s at 2800 RPM and can flow a maximum flowrate of 0.0284 m3/s with a head of 66.94 m while in ideal conditions with approximately the same speed and total pump head of 88.83 m, The pump produces a flow rate of 0.0473 m3/s and can produce a maximum flowrate of 0.0710 m3/s with a head of 71.81 m and when shut-off (Q = 0) at actual and ideal conditions produces a same total pump head 94.10 m. However, the pump in actual conditions can flow a minimum flowrate required of 0.040 m3/s with a pressure required of 350 kPa at 3000 RPM with a total pump head of 108.52 m. Thus, the pump must operate heavier due to the higher total head to deliver the required minimum flow rate and pressure