ALAT PENDETEKSI DINI KEBOCORAN GAS ELPIJI MENGGUNAKAN SENSOR GAS MQ-6

Pembuatan alat pendeteksi dini kebocoran gas menggunakan sensor gas MQ-6 bertujuan untuk mencegah kebakaran karena terjadinya kebocoran gas elpiji yang dapat menimbulkan kerugian. Dengan adanya alat ini maka seseorang dapat mengetahui apabila terjadi kebocoran gas elpiji. Metode yang digunakan untuk membuat alat pendeteksi kebocoran gas elpiji ini adalah metode rancang bangun yang terdiri dari beberapa tahap yaitu, (1) Identifikasi Kebutuhan, (2) Analisis Kebutuhan, (3) Perancangan Sistem, (4) pembuatan, (5) Pengujian Alat, (6) Pembahasan. Alat ini terdiri beberapa bagian, terdiri dari rangkaian catu daya yang menghasilkan tegangan 5 Volt dan -5 Volt, rangkaian sensor MQ-6 sebagai pendeteksi gas elpiji, rangakaian komparator untuk pembanding tegangan dari sensor dan tegangan referensi, rangkaian driver relay dan buzzer sebagai indikator apabila terjadi kebocoran gas elpiji. Alat pendeteksi dini kebocoran gas elpiji menggunakan sensor gas MQ-6 telah berhasil dibuat sesuai rancangan. Berdasarkan pengujian alat, ketika sensor MQ-6 tidak mendeteksi adanya gas elpiji tegangan keluaran sensor ± 1 Volt. Tegangan ini lebih kecil dari tegangan referensi komparator, karena itu tegangan keluaran komparator belum dapat mengaktifkan transistor yang mengakibatkan relay dan buzzer belum aktif. Terdeteksinya gas elpiji oleh sensor MQ-6 menyebabkan tegangan keluaran sensor menjadi ± 3,69Volt. Tegangan keluaran ini lebih besar daripada tegangan referensi komparator, karena itu tegangan keluaran komparator dapat mengaktifkan transistor yang menyebabkan relay dan buzzer aktif. Hal ini menunjukkan bahwa alat pendeteksi dini kebocoran gas elpiji menggunakan sensor MQ-6 bekerja sesuai dengan yang diharapkan

Fluidically-assisted Sensor Systems For Fast Sensing Of Chemical And Biological Substances

The present invention is directed to devices and methods in which one or more miniature synthetic jet actuators are integrated with a chemical fluidic sensor (ChemFET) to effect inhalation and exhalation of ambient gas samples and induce small scale mixing at the surface of the sensor. The fluidically integrated jet transports ambient gas or liquid into the jet/sensor assembly through integrated gas or liquid channels, impinges the sample gas or liquid on the sensing element, and finally ejects the sample gas or liquid back into the ambient gas or liquid. The response of the sensor in the presence of the active jet is compared to its response when the jet is inactive. The jet actuator directs entrained ambient gas or liquid toward the active surface of the sensor, and the impingement of sample gas or liquid onto the surface of the sensor results in faster response time. Other embodiments are also claimed and described.Georgia Tech Research Corporatio

Device for quickly sensing the amount of O2 in a combustion product gas

A sensing device comprising an O2 sensor, a pump, a compressor, and a heater is provided to quickly sense the amount of O2 in a combustion product gas. A sample of the combustion product gas is compressed to a pressure slightly above one atmosphere by the compressor. Next, the heater heats the sample between 800 C and 900 C. Next, the pump causes the sample to be flushed against the electrode located in O2 sensor 6000 to 10,000 times per second. Reference air at approximately one atmosphere is provided to the electrode of O2 sensor. Accordingly, the O2 sensor produces a voltage which is proportional to the amount of oxygen in the combustion product gas. This voltage may be used to control the amount of O2 entering into the combustion chamber which produces the combustion product gas

Gas turbine performence based creep life estimation using soft computing technique

Accurate and simple prediction system has become an urgent need in most disciplines. Having the accurate prediction system for gas turbine components will allow the user to produce reliable creep life prediction. Focusing on the turbine blades and its life, the current method to calculate its creep life is complex and consumes a lot of time. For this reason, the aim of this research is to use an alternative performance–based creep life estimation that is able to provide a quick solution and obtain accurate creep life prediction. By the use of an artificial neural network to predict creep life, a neural network architecture called Sensor Life Based (SLB) architecture that produces a direct mapping from gas path sensor to predict the blade creep life was created by using the gas turbine simulation performance software. The performance of gas turbine and the effects of multiple operations on the blade are studied. The result of the study is used to establish the input and output to train the Sensor Life Based network. The result shows that the Sensor Life-Based architecture is able to produce accurate creep life predictions yet performing rapid calculations. The result also shows that the accuracy of prediction depends on the way, how the gas path sensor is grouped together

Novel Approaches towards Highly Selective Self-Powered Gas Sensors

The prevailing design approaches of semiconductor gas sensors struggle to overcome most of their current limitations such as poor selectivity, and high power consumption. Herein, a new sensing concept based on devices that are capable of detecting gases without the need of any external power sources required to activate interaction of gases with sensor or to generate the sensor read out signal. Based on the integration of complementary functionalities (namely; powering and sensing) in a singular nanostructure, self-sustained gas sensors will be demonstrated. Moreover, a rational methodology to design organic surface functionalization that provide high selectivity towards single gas species will also be discussed. Specifically, theoretical results, confirmed experimentally, indicate that precisely tuning of the sterical and electronic structure of sensor material/organic interfaces can lead to unprecedented selectivity values, comparable to those typical of bioselective processes. Finally, an integrated gas sensor that combine both the self-powering and selective detection strategies in one single device will also be presented. © 2015 Published by Elsevier Ltd.Peer ReviewedPostprint (published version

Optimization of sensor locations for measurement of flue gas flow in industrial ducts and stacks using neural networks

This paper presents a novel application of neural network modeling in the optimization of sensor locations for the measurement of flue gas flow in industrial ducts and stacks. The proposed neural network model has been validated with an experiment based upon a case-study power plant. The results have shown that the optimized sensor location can be easily determined with this model. The industry can directly benefit from the improvement of measurement accuracy of the flue gas flow in the optimized sensor location and the reduction of manual measurement operation with Pitot tube

Fluidic hydrogen detector production prototype development

A hydrogen gas sensor that can replace catalytic combustion sensors used to detect leaks in the liquid hydrogen transfer systems at Kennedy Space Center was developed. A fluidic sensor concept, based on the principle that the frequency of a fluidic oscillator is proportional to the square root of the molecular weight of its operating fluid, was utilized. To minimize sensitivity to pressure and temperature fluctuations, and to make the sensor specific for hydrogen, two oscillators are used. One oscillator operates on sample gas containing hydrogen, while the other operates on sample gas with the hydrogen converted to steam. The conversion is accomplished with a small catalytic converter. The frequency difference is taken, and the hydrogen concentration computed with a simple digital processing circuit. The output from the sensor is an analog signal proportional to hydrogen content. The sensor is shown to be accurate and insensitive to severe environmental disturbances. It is also specific for hydrogen, even with large helium concentrations in the sample gas