No abstract

Engine scanner unit is a tool used by mechanical power to know the condition of car engine combustion at the time of tune up process done.The level of elements and compounds that dominant in determining categories of combustion of gasoline fuel car engines through the levels of elements and compounds contained in exhaust emissions are Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2) and Oxygen (O2). Complete combustion category produces maximum power, fuel efficiency and emission levels according to the threshold. This occurs when there is a balance of the amount of fuel, airflow and ignition in the engine combustion chamber. Elements and compounds contained in car exhaust emissions can be detected with sensors that are sensitive to elemental levels and these compounds are HC, CO, CO2, and O2 sensors. This study aims to display the data pattern category of combustion engine through exhaust emissions based on multi sensor detection processed with signal processing system in the form of Fast Fourier Transform (FFT) process. Furthermore, data pattern is performed in accordance with the category of combustion engine detected. The system is designed with embedded system using Field Programable Gate Array (FPGA) myRIO and LabVIEW programming. The results in the test displays the data pattern and the comparison test of the reference data pattern with the data pattern of the detection result. The comparison test result of data pattern similar to 87% complete engine combustion category and similar to incomplete combustion category 90%.

There are two main categories of combustion condition in the car combustion engine chamber, they are complete and incomplete combustion condition. The complete combustion condition is obtained when a balance of fuel, airflow, and ignition in the combustion chamber occurred. It is characterized by the level of elements and compounds contained in the exhaust emissions. The dominant elements and compounds in exhaust emissions of the gasoline-fueled engine are Hydrocarbon (HC), Carbon Monoxide (CO), Carbon Dioxide (CO 2) and Oxygen (O 2). This study aims to establish a system that is capable of identifying the combustion category of automobile engine through exhaust emissions. This emissions data was procured using gas multi-sensor processed by a Fast Fourier Transform (FFT) process and constructed in the form of the data pattern. The identifying process of the combustion category was done by comparing the detected data pattern with a reference data pattern utilizing the Sum Square Error (SSE) method. Trials had been conducted on some gasoline and Pertalite cars for carburetor and injection systems. The trials result showed that the system accuracy in identifying the category of complete combustion was 87% and the incomplete combustion category was 77%.

Motorcycles with injection system uses engine scanner tool as a reference for a mechanic when performing a tune-up to find out and get the engine firing conditions were perfect. Unlike the motorcycle carburetor system, relying only on the experience of a mechanic. If using tools, usually using exhaust emission analyzer which only serves to measure the levels of elements and compounds and exhaust emissions and it can not be used to identify the condition of the combustion engine. Besides, not all the workshops have it, just a certain manufacturer authorized workshops, garages and a large scale or related government agencies that have it. There are two categories of combustion engine, the first engine combustion conditions are not perfect and complete combustion conditions. Perfect engine combustion conditions is needed so that maximum engine performance with an efficient use of fuel. This study aims to make a device that is capable of detecting the condition of combustion 4-stroke motorcycle carburetor system using the method of sum square error (SSE) through the value of the data patterns of exhaust emissions based gas sensors. The study, of the five categories of motorcycles with the manufacturer, type and year of manufacture of different shows that, the system made capable of identifying categories of combustion engine based on the SSE on the identification and reference set. The success rate of identification detection system performs the complete combustion of 89.33% and 97.99% of incomplete combustion.

An EFI cars (Electronic Fuel Injection) is not equipped with a pressure fuel pump indicator, so the driver does not know the the fuel pump performance. If the fuel pump work under the standard, the engine is not responsive to acceleration, engine temperature can be increased and the performance of the engine is lowered. This research are trying to design a fuel pump pressure detector using a pressure sensor. The research methodology used is the Research and Development (R & D) consisting of product design, design validation, design revisions, and test products. This study used three product design because the design of the first and the second has not been as expected. The third design uses a comparator circuit as the controller three indicator LED (Light Emitting Diode). If the fuel pump working pressure of 2,1kg / cm²-2.5 kg / cm², the three colored LED green, yellow and red lights up. If the fuel pump working pressure of 1.6 kg / cm²-2,0kg / cm², the two LED will light up the colors yellow and red. If the fuel pump working pressure of 1,0kg / cm²-1.5 kg / cm², it is only one red LED are illuminated. A comparison between the changes in pressure to produce the output voltage linear data and repeatibility = 0.