International Journal of Applied Technology Research (IJATR)
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    75 research outputs found

    The Effect of Inclusion on Crack Propagation Using Extended Finite Element Method

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    Numerical simulation is developed to investigate the effect of inclusion on crack propagation. In this study, the crack growth is modeled using extended finite element method (XFEM). Two-dimensional rectangular plate with single inclusion embedded off-centered is modeled. The specimen is subjected to uniaxial tension. The dimensions of the specimen are 40 mm x 80 mm and the radius of the inclusion is 10 mm. The specimen is pre-cracked with the length of an edge crack is 5 mm. The motion of the crack is modeled by XFEM based on traction-separation cohesive behavior for 2D mixed mode problem. In addition, enrichment procedure is used to implicitly determine predefined crack in XFEM framework. Two different inclusions, which are soft and hard inclusions, are considered on crack propagation scheme. The effects of soft and hard inclusions on crack propagation are studied and observed. The results showed that the trajectory of crack highly depends on inclusion inside the material. In the case of soft inclusion, propagation of the crack tended to approach the inclusion. Whereas in the case of hard inclusion, crack trajectory tended to move away from the inclusion. The mismatch of elastic modulus between inclusion and surrounded materials has significant effect on propagation of crack

    Quantitative Approach to Condensate from Residential Air Conditioners with Different Capacity as Drinking Water

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    During operation, the evaporator of split-type air conditioner (A/C) produces condensate water due to lower evaporator temperature, as compared to dew point temperature of the indoor air. So far, the condensate is considered unimportant and therefore being wasted. The split-type A/C is widely used in high-rise buildings, hotels, shopping areas, and even residential. The study aims to investigate the potential feasibility of the condensate to be used as for drinking water. Of course, treatment of the condensate is required before it can be used as a drinking water. The experiments were carried out in two cities, namely Bandung and Cirebon. Bandung represents a city with a cool climate, while Cirebon represents a city with a hot climate. The capacities of the A/C utilized in Bandung and Cirebon are 0.5 HP and 1 HP, respectively. The quantities of the condensate from the A/C were collected for 24 for hours. The quality of the condensate was benchmarked with guidelines/standard from PERMENKES NO 492/MENKES/PER/IV/2010. The benchmarking process involved testing and evaluation of 22 significant parameters related to water quality for drinking purpose. By utilizing waste condensate water, it is predicted that it can be a vital alternative of potable water in the futur

    Energy Savings for Air Conditioning System Using Fuzzy Logic Controller Design for Northeastern Nigeria

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    Efficient air cooling in an air conditioning system minimizes power consumption. The air conditioning system is considered one of the home appliances in which a massive amount of electrical energy is recorded, especially in the urban area. In this work, the fuzzy logic controller is designed to save energy for northeastern Nigeria using six and two input and output parameters respectively. The input parameters consist of the temperature of the user, temperature difference, number of occupants, time of the day, dew point temperature, and weather conditions. The output parameters consist of compressor speed and operation mode. The controller performance was simulated. The controller is designed in such a way that it can control the compressor speed leading to energy savings, and the operation mode to optimize humidity conditions, and when the room gets hot, it switches to air conditioning. The simulated result showed that a good percentage of electrical power could be saved when fuzzy logic is utilize

    Biodiesel Production from Rubber Seed Oil as An Alternative Energy Source – A Review

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    Biodiesel is one of alternative energies that can be used to overcome problem caused by limited amount of fossil fuels reserved. Biodiesel can be made from rubber seed oil that has high potencies in Indonesia. The availability of rubber seed is quite much with more than 3-million-hectare rubber plantation area. The production of biodiesel from rubber seed oil has been carried out by several researchers using various methods. Therefore, this study was conducted as a review to obtain optimum operation conditions and effect of antioxidant addition in biodiesel production. Production methods of biodiesel from rubber seed oil observed in this study are esterification-transesterification, one stage transesterification, and in situ transesterification methods. Types of antioxidant added to biodiesel from rubber seed oil observed are TBHQ, D-TBHQ, BHA, BHT, PG, and OG. Esterification-transesterification was chosen as the most effective method in producing biodiesel with a minimum yield of 96.4%. Antioxidant addition of TBHQ with 1000 × 10-6 (ω) dosage was selected as the most effective to increase biodiesel induction period to become 6.41 hours, fulfilling the SNI 7182-2015 standard, which is minimum of 6 hours. Standard used as the reference for observing biodiesel parameters is SNI 7182-2015

    Battery-Supercapacitor Current Control Using Fuzzy Supervisory with PI Controller for Electric Vehicle Application

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    The configuration of the battery-supercapacitor as a hybrid power source (HPS) is one solution to overcome the limitations of battery life, such as in an electric vehicle. To achieve battery energy savings when a supercapacitor is added, a control scheme is needed. This paper proposes a battery-supercapacitor current sharing control scheme using Fuzzy Supervisory Control (FSC). The FSC is designed to determine how much current of the battery and supercapacitor need to discharge based on the current requirement of the load. The output of the FSC will produce a reference current which is then controlled in the main closed-loop control using a Proportional-Integral (PI) controller. The control signal in the form of a duty cycle is then used to regulate the battery-supercapacitor current through a DC/DC converter. This control scheme is tested using a resistive load change scenario both simulation and experimental. The results show that the battery-supercapacitor current can be controlled according to the loading conditions

    Performance of Gas Turbine Power Plant with Evaporative Air Pre-Cooler System Using Energy and Exergy Concept

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    One of the main challenges in building a Solar Power Generation System at home or a Home Solar Power Plant (Home SPP) is choosing component specifications according to price. The main components of Home SPP are photovoltaic (PV) panels, inverters, and wiring systems. Given the strict price constraints, the selection of parts available on the commercial market is generally of low quality. However, low-quality components can still provide a significant advantage by optimizing the plant design. This research proves that the proper configuration can reduce electricity bills by 52.2%. This configuration does by choosing a Grid Tie Inverter (GTI) with a high working voltage and a 12 Volt PV configured in a parallel series circuit to work at 24 Volts. In addition, the 12 Volt PV panels configured in series to 24 Volts are proven to increase the conversion efficienc

    Comparative Study of Multiple Regression Model with Curvefit Model for The Prediction of Solar Radiation in Mubi Town Adamawa State, Nigeria

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    The sun emits solar radiation, which is critical for researchers working on renewable energy technology that provides ecologically favorable power systems. This research created a new model to forecast DHSR for the Mubi metropolitan area in Adamawa State, Nigeria. Data for this study were obtained from the National Aeronautics and Space Administration (NASA) over a 22-year period (2000 – 2021). When DHSR was employed as an output, the requested values were air temperature (Tai) and relative humidity (Rhi). The MATHLAB curve fitting program was used to create the new DHSR mathematical model. The model was validated using five statistical methods in this study: MSE (mean square error); SSE (sum of square errors); RMSE, Chi-square error (X2), and the absolute fraction of variance (R2) are 0.0005, 0.0064, 0.0231, 0.0011kWh/m2/day, and 0.9998, respectively

    Simulation of IoT-Based Temperature and Humidity Conditioning System in Screen House

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    Nowadays, various problems have arisen in agricultural sector. One of which is the decline in productivity of farmers' crops up to 40% which is caused by non-optimal environmental conditions during the plant growth process. This is certainly a challenge for Indonesian farmers to be able to continue in supplying the country's needs for high quality agricultural products. The challenges faced by Indonesian farmers do not only come from the environmental conditions of plant growth, but the development of Industry 4.0 technology also plays an important role in the development of agricultural sector in Indonesia. In order to adapt to these technological changes, a solution is needed in the form of an integrated agricultural equipment with Industry 4.0 technologies such as the Internet of Things (IoT). One of which is creating an IoT-based control and monitoring system that will be applied to the screen house. In this research, an IoT-based temperature and humidity conditioning system was designed in the screen house. The system design is modeled and tested through simulation on Vensim software. Based on the simulation results of system design, the screen house internal temperature can be controlled or maintained in the optimal temperature range for tomato plant growth, which is 18–24oC with an offside value of ±0.5oC. The heating capacity or heating rate required in this system is 10oC/hour. The cooling capacity or cooling rate generated to compensate the influence of external temperature and heating effect on the screen house internal temperature is 1–1.8oC/hour. The heating and cooling rate values generated in this research are still need to be converted into fan and pump PWM values to be implemented in a fan- pad evaporative cooling system

    Experimnetal Investigation on Outdoor and Indoor PM2.5 and PM10 in Supermarkets in Bandung During Covid-19 Pandemic

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    During the Covid-19 pandemic, the number of visitor at the trade center in Bandung was much reduced as compared to before pandemic, which was only about 30% of normal conditions. The present study is to investigate particulate concentrations of PM2.5 and PM10 in three supermarkets in Bandung, namely Kosambi, Batununggal Modern and Cinunuk supermarkets during the pandemic of Covid-19. Air sampling was measured using a particulate counter CEM DT96 for 11 hours, from 06:00 AM to 5:00 PM, local time. The results showed that the average of outdoor and indoor concentrations of PM10 in two supermarkets (Batununggal Modern and Griya Cinunuk) was lower than standard during that 11 hours.  As for the outdoor concentrations of PM2.5, both markets exceeded the standard for several hours in the morning. In general, it can be concluded that the outdoor and indoor concentrations of PM2.5 and PM.10 during pandemic were below the standard, except in the morning before 10:00 A

    Relationship Between Indoor Air Quality and Sick Building Syndrome in Post Office Building in Bandung

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    Sick building syndrome (SBS) is a collection of symptoms experienced by buildings occupants such as headaches, mucous, membrane irritation, respiratory problems and fatigue. A building is claimed to have SBS if more than 20% of building occupants experience symptoms. Poor indoor air quality contributes to SBS in the building. This study aims to investigate the correlation between indoor air quality and SBS symptoms in 1st and 2nd floors of the Post office building in Bandung. The study used quantitative methods with a cross sectional study design. Data collection was carried out using particle counter, thermometer, lux meter and anemometer to measure the indoor air quality, while the questionnaire utilized random sampling technique with 119 respondents. The results of the primary data were compared with the air quality standard from Minister of Health No. 1077, 2021. The results of the Statically Compare Means and Independent T-test showed that the p-values of the temperature on the 1st floor and 2nd floors were 0.437 and 0.000, respectively. Meanwhile the p-values of PM10 and PM2.5 on the 1st and 2nd floors were 0.005 and 0.290 and 0.004 and 0.364, respectively, and the p-values of the lighting on the 1st and 2nd floors were 0.002 and 0.015. It indicates that there is a significant relationship between concentrations of PM10 and PM2.5 on the 1st floor with SBS symptoms and the temperature and humidity on the 2nd with SBS symptoms. Since 29 peoples (24% of the building’s occupants) experienced SBS, the building was considered to have a significant potential to cause SBS to its occupant

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