Analisis Daya Dan Efisiensi Turbin Air Kinetis Akibat Perubahan Putaran Runner

Research has been conducted about change power and efficiency on turbine. Manufacture of turbine singer aims to determine the magnitude of the reviews on power output and efficiency due to the rotation of the turbine runner. Turbine runner done with variation 90 rpm, 70 rpm, 50 rpm, 30 rpm and 10 rpm. Of the various rounds of runner that shows the maximum power change occurred on lap 50 rpm, 70 rpm and 90 rpm. Maximum power lead to speed with discharge runners 70 rpm flow 0.0078 m3 / s at 4,572 watts. Power generated minumum on debit 0.0078 m3 / s occurred on speed runner 90 rpm of 3,674 watts. Maximum turbine efficiency occurs debit on flow 0.0078 m3/s and 70 rpm with a value of 28.342%, and then declined in round 50 rpm amounted to 24.477% and the lowest in round 90 rpm amounted to 23.189%. From the calculation of the efficiency obtained maximum value is obtained at a speed of 70 rpm with a flow runner debit 0.0078 m3 / s

Prototype Of Lpg Gas Leakage Detector System Based On Fuzzy Logic

LPG is an alternative fuel that is used for daily needs, it is caused not only because of its cheap price but also its easy installation. However, the characteristic of LPG gas which is flammable and heavier than oxygen makes LPG gas leakage is hard to be detected. Based on that problem, a system that is able to detect gas leakage is needed and the system itself has to pass the sensitivity level test to be gas sensor. In this study there are 3 sensors; MQ-2, MQ-5 and MQ-6 gas sensors which are connected to the Arduino Uno microcontroller as it can be used as a feature to classify the condition of the gas by the implementation of the Fuzzy Mamdani method. The output of the system is displayed on an LCD, marked with a buzzer and a fan as gas decoder. The Arduino Uno that was programmed using fuzzy logic was used to control the level of leakage and to give a solution level through the rotation of fan and the buzzer sound. From the test results, the system could determine various conditions of gas leakage with 93% accuracy. From the results of its simulation and test, MQ-5 had higher sensitivity rather than MQ-2 which had the lowest sensitivity toward gas leakage