The viscometer is a system measuring the viscosity value of a liquid substance. The function of this viscosity measuring instrument is used to analyze the viscosity level of a particular product so that it is easy to know the quality of fluid viscosity. In this research, two methods were conducted, namely simulation and experimentation. Simulations were conducted using Simulink Matlab while experiments were conducted by designing fluid viscosity measuring instruments by rotary method or commonly known as a rotational viscometer. This tool uses two sensors namely, rpm sensor to measure rpm of dc motor and current and voltage sensor to measure current from dc motor, and also use controller equipped with Internet of Things (IoT) so that the measurement results will be displayed through LCD and can be monitored through the website. From the simulation results obtained drum motor spinning at low speed to the 10th second of the motor rotation about 6 rad / s and as time increases, the motor rotation will increase until the 60th second of the motor rotation begins to be constant this is due to the large shear voltage produced by a fluid at the beginning of the motor is turned on very large and decreases over time. While the test results of the tool that has been designed, obtained the measurement results on SAE 40 Oil obtained accuracy results of 0.99, on the measurement of SAE Oil 20W-50 obtained an accuracy value of 0.99 and in the measurement of SAE 10W-30 Oil obtained an accuracy value of 0.99.
Currently, biogas as an alternative fuel has been widely used in the community, including in lamps and biogas stoves. There has been a surplus of biogas in some production regions due to a relatively small need for biogas fuel. So that most biogas users utilize the surplus to become generator fuel. Yet, in the application there is a drawback, namely the instability of the electric power generated per unit time. This is caused by not achieving the optimal water-fuel ratio because the volume of biogas production from the reactor is fluctuating based on the volume of raw material, such as processed cow dung. Therefore, a control method using a PID Controller is constructed to determine the best value of the AFR on a dual fuel generator. The objective is to generate an optimal output of electric power. The generator set is a tool used to generate energy or electrical power. The electric power generated by the generator set used to supply the electrical loads in this research are lamps. Power produced by a generator set ranges from 100 to 1200 watts. The power generated by the generator set is affected by a mixture of air and fuel. The generator set is dual fuel. From the results of this study, a stable response with an overshoot value is below 0% and its error is 2%. In addition, the best-obtained value of the AFR is 15.06. Furthermore, the stability of the power generated by the generator set is also influenced by the flow rate mass of the fuel injected into the combustion chamber. From the simulation results, when given a power set point at 1200 watts, the obtained value of the air mass flow rate is 0.03754 kg/s, the mass flow rate of biogas is 0.002367 kg/s, and the gasoline constant mass flow rate is 0.000125 kg/s. Meanwhile, when given a set point of 100 watts and a value of 0.009928 kg/s air mass flow rate is injected into the chamber, the mass flow rate of biogas is 0.0005341 kg/s, and the mass flow rate of gasoline is 0.000125 kg/s. In this research, the value of AFR for complete combustion on a dual fuel system is 15.06. The results have shown that the PID Controller has been successfully implemented to regulate AFR, and the generator output of power can be constant.
Glass is a widely used material today. One of them is as a window of a building. As the material is easily broken, glass is very vulnerable in the cleaning process. This causes the process of cleaning the glass cannot be done carelessly. To overcome these problems, one of them is to replace the work done by humans with machines or robots. The glass cleaning robot was created as a glass cleaner replacing the conventional workforce. One of the most important elements in the operation of glass cleaner robots is the robot glass distance control system against glass edges using proximity sensors. At a distance of 35 cm, the proximity sensor will send a signal back to the microcontroller and forwarded to the input dc motor so that the value changes rpm on the motor with pwm value of 205 each for the left motor and 150 for the right motor for 1 second so that The robot will turn clockwise. From the tested, gotten the response of distance control system based on the PWM value vs time. It shows that the system has a good response to listing programs that have been created. It does not have a research value different from the setting point and fast to achieve stable conditions. In the design of cleaning fluid monitoring system on glass cleaning robot used water level sensor. It used Bluetooth as a wireless system to display height of water in container cleaning fluid.
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