20.500.12556/RUL-128800 Zasnova avtomatiziranega preverjanja zrakotesnosti Design of automated air leakage detection V zaključni nalogi sem zasnoval način avtomatiziranega preverjanja zrakotesnosti. Poiskati sem moral metodo za enostavno zaznavanje uhajanja zraka v realnem času procesa. Iz pregleda že uveljavljenih načinov za preverjanje zrakotesnosti in izločitvenih kriterijev sem določil dve najobetavnejši metodi in sicer metodo z ultrazvočnim zaznavalom za zaznavanje razdalje in metodo z uporabo mikrofona. Za testiranje zasnove merilnega sistema sta bila kot najprimernejša izbrana mikrokrmilnik Arduino in mobilni telefon. Z obema napravama je bila narejena frekvenčna analiza zvoka ob uhajanju zraka iz zračnice in zračne vzmeti. Po preizkusih se je za bolj obetavno izkazala metoda z uporabo mikrofona mobilnega telefona, ki za razliko od mikrokrmilnika Arduino omogoča zaznavanje tudi visokih frekvenc zvoka. Meritve so pokazale, da je uhajanje zraka vir nastanka zvoka pri frekvencah nad 25 kHz. Dobljene meritve so bile potrjene z meritvami v tihi sobi laboratorija LDSTA. Dodatno pa je bila narejena tudi frekvenčna analiza različnih izvorov zvoka v industrijskem okolju. Izkazalo se je, da so značilne frekvence okolja pod 25 kHz, kar poveča uporabnost zasnove avtomatiziranega preverjanja zrakotesnosti tudi v hrupnem industrijskem okolju. In the final assignment, I designed a method of automated air leakage detection. I had to find a method to easily detect real-time air leakage. From a review of already established methods for air leakage detection and exclusion criteria, I have identified the two most promising methods, named the method with an ultrasonic sensor for distance detection and the method using a microphone. The Arduino microcontroller and a mobile phone were selected as the most suitable for testing the design of the measuring system. Frequency analysis of sound was performed with air leakage from the inner tube of a race bike and an air spring. After testing, the method using a mobile microphone turned out to be more promising than the Arduino microcontroller with restriction of detecting high frequencies of sound. Measurements have shown that air leakage is a source of sound generation at frequencies above 25 kHz. The obtained measurements were confirmed by measurements in an anechoic chamber of the LDSTA laboratory. Additionally, a frequency analysis of various sound sources in the industrial environment was performed. Typical ambient frequencies have been shown to be below 25 kHz, which increases the applicability of the automated air leakage detection design even in a noisy industrial environment. preverjanje zrakotesnosti avtomatiziran proces frekvenčna analiza mobilni telefon mikrofon air leakage detection automated process frequency analysis mobile phone microphone true false false [M. Kuzman] Slovenski jezik Angleški jezik Zaključna naloga 2021-07-30 08:30:24 2021-07-30 08:30:28 2023-12-13 13:09:18 0000-00-00 00:00:00 2021 0 Ljubljana 0 XV, 44 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 621.3.08:620.193.29(043.2) 230299 72987139 7511.pdf 7511.pdf 1 0E6EEBDA1A340D3BC7967E44288C623A 5cbee0fd764b4dc6d9d9238b281c69fdf3e641a25ab782d431c8cb401615e3c1 7529fd06-f0ff-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=145685 Fakulteta za strojništvo 0 0 0