6 research outputs found
Enhancement of accessibility and sustainability: A smart solar-powered outdoor laundry drying system
Get PDFAssistive Technology (AT) is designed to aid elderly individuals and those with disabilities in overcoming tasks that
may pose challenges or be inaccessible without support. Despite substantial research and innovation dedicated to the
advancement of AT, opportunities for further improvement persist in this domain. This study aims to enhance existing
technology by proposing an innovative, efficient, and environmentally friendly outdoor laundry garment hanging and
retrieval system. The proposed system employs the OMRON CPM1A PLC system as the central controller for the
motorized mechanism, offering a straightforward yet intelligent approach. The prototype harnesses solar power to
operate the automated clothesline system, contributing to energy and carbon emissions reduction, and promoting energy
efficiency and cost-effectiveness, hence improving sustainability. The prototype allows both manual and automatic
modes for controlling the DC motor's actions in extending or retracting the scissor-like cloth hanger. In manual mode,
a push-button switch governs the cloth hanger's movement, while automatic mode relies on input signals from rain and
temperature sensors to dictate its behavior. The DC motor will operate to extend the hanger (for drying) whenever the
rain sensor detects no water droplets, or, the light sensor detects more than 150 lux, or, the temperature is greater than
24.5℃. Otherwise, the motor will move to retract the hanger back into its original position when these criteria are the
opposites. This proposed solution not only reduces physical strain for elderly and disabled users during laundry drying
but also contributes to their enhanced well-being, accessibility, and improved quality of life
Color enhancement of refined-bleached used vegetable oils as dielectric liquid: two-level factorial design approach
Get PDFNumber of findings have shown that the used vegetable oils (UVOs) properties can be enhanced by changing their chemical structure and can be utilized as dielectric liquid in oil-immersed transformers. However, earlier researchers used the one-factor-at-a-time (OFAT) method for their experimental design approach. Nevertheless, they failed to consider the possibility that combining the mixing process parameters at the highest ratios could produce a more favorable outcome. Hence, in this study, twolevel (2k) factorial design is applied to achieve the highest color reduction of UVOs through chemical refining process known as refined-bleached UVOs (RBUVOs). The involved process parameters are oil temperature, mixing speed and mixing time. Based on the results of 23 factorial design, it is found that mixing time and oil temperature has the most significant effects on color reduction, with a percentage contribution of 35.00% and 32.51%, respectively. The result also shows that the best mixing process parameters of RBUVOs were oil temperature (80 °C), mixing speed (1,000 rpm) and mixing time (60 min). These resulted in the highest color reduction of RBUVOs by 79.27%
Single input fuzzy logic controller for liquid slosh suppression
Get PDFThe chaotic nature of liquid slosh and the complex fluid dynamic motion in the container makes the traditional model-based control techniques complex and difficult to synthesize in practice. This paper presents investigations into the development of single input fuzzy logic controller (SIFLC) for liquid slosh control. The proposed approach, known as the SIFLC, reduces the conventional two-input FLC (CFLC) to a single input single output (SISO) controller. Two parallel SIFLC are developed for both lateral tank position and liquid slosh angle control. With the purpose to confirm the design of control scheme, a liquid slosh model is considered to represent the lateral slosh motion. The performances of the control schemes are accessed in terms of lateral tank tracking capability, level of liquid slosh reduction and time response specifications. Supremacy of
the proposed approach is shown by comparing the results with hybrid model-free Fuzzy-PID controller with derivative filter (PIDF). Finally, it is seen from the simulation results that the proposed control scheme has able to reduce the liquid slosh without unambiguously model the liquid slosh behavior
Development of automated exhaust fan for modern kitchen with IoT notification system
No full textThis project shows the development of an automated exhaust fan for a modern kitchen with an IoT notification system for a better air ventilation system with lower electrical consumption and cheaper installation costs. Utilizing an exhaust fan as the ventilation system will significantly lower the cost of installation and maintenance. The exhaust fan will carry the process of removing hot air from the kitchen so that cooler surrounding temperatures can be achieved. The application of an automated microcontroller system will allow higher energy efficiency for daily cooking appliance usage. Then, the application of the DHT22 temperature sensor as the input for the microcontroller which can detect the precise temperature of the surrounding air. The exhaust fan will automatically turn ON when it detects the surrounding temperature is increased from 33℃. However, a notification will be sent to the user through the Blynk Application when the temperature of the kitchen is increasing and achieved 37℃ while a buzzer will turn ON to alert people in the house. Next, the AC voltage controller will help regulate the speed of the fan according to the input temperature so that more energy can be saved during long daily usage. At the end of this project, the outcome product will become a microcontroller that can be used in various types of households that already have a wall-mounted exhaust fan. Moreover, more users will be able to install this whole ventilation system for their hot kitchen due to low installation and maintenance costs. Lastly, the electrical monthly bill can be reduced
Development of automated exhaust fan for modern kitchen with IoT notification system
Get PDFThis project shows the development of an automated exhaust fan for a modern kitchen with an IoT notification system for a better air ventilation system with lower electrical consumption and cheaper installation costs. Utilizing an exhaust fan as the ventilation system will significantly lower the cost of installation and maintenance. The exhaust fan will carry the process of removing hot air from the kitchen so that cooler surrounding temperatures can be achieved. The application of an automated microcontroller system will allow higher energy efficiency for daily cooking appliance usage. Then, the application of the DHT22 temperature sensor as the input for the microcontroller which can detect the precise temperature of the surrounding air. The exhaust fan will automatically turn ON when it detects the surrounding temperature is increased from 33°C. However, a notification will be sent to the user through the Blynk Application when the temperature of the kitchen is increasing and achieved 37°C while a buzzer will turn ON to alert people in the house. Next, the AC voltage controller will help regulate the speed of the fan according to the input temperature so that more energy can be saved during long daily usage. At the end of this project, the outcome product will become a microcontroller that can be used in various types of households that already have a wall-mounted exhaust fan. Moreover, more users will be able to install this whole ventilation system for their hot kitchen due to low installation and maintenance costs. Lastly, the electrical monthly bill can be reduced
Single Input Fuzzy Logic Controller for Liquid Slosh Suppression
Get PDFThe chaotic nature of liquid slosh and the complex fluid dynamic motion in the container makes the traditional model-based control techniques complex and difficult to synthesize in practice. This paper presents investigations into the development of single input fuzzy logic controller (SIFLC) for liquid slosh control. The proposed approach, known as the SIFLC, reduces the conventional two-input FLC (CFLC) to a single input single output (SISO) controller. Two parallel SIFLC are developed for both lateral tank position and liquid slosh angle control. With the purpose to confirm the design of control scheme, a liquid slosh model is considered to represent the lateral slosh motion. The performances of the control schemes are accessed in terms of lateral tank tracking capability, level of liquid slosh reduction and time response specifications. Supremacy of the proposed approach is shown by comparing the results with hybrid model-free Fuzzy-PID controller with derivative filter (PIDF). Finally, it is seen from the simulation results that the proposed control scheme has able to reduce the liquid slosh without unambiguously model the liquid slosh behavior
