מדידה והערכה של רעש הנוצר מזרימה בתוך גוף מוטס
עבודה לקראת תואר מגיסטר תחת הנחייתה של פרופ' משנה אוקסנה סטלנוב
הפקולטה להנדסת אוירונוטיקה וחלל
טכניון - מוסד טכנולוגי לישראל
During the design phase of a project, each airborne system is designed and tested in order to demonstrate it can perform under different environmental loads. Acoustic noise is one of the environmental loads that may lead to a failure of the system – mainly in electronic equipment, sensors, MEMS components etc. During the design, the designer must take into account the acoustic noise inside an airborne system in order to make sure that the product can perform according to its requirements. A reliable tool is needed in order to define the acoustic noise level and spectrum inside an airborne structure. The aim of this thesis is to provide an algorithm that will allow estimation of the acoustic noise inside an airborne structure. In order to do so, the study is divided into two parts. One is estimation of the external acoustic noise (wall pressure). Estimation of the external acoustic noise will enable the designer to perform FE simulation or to use different "thumb rules" in order to estimate the internal acoustic noise. It will also provide the designer the ability to perform laboratory acoustic noise tests, in which he can simulate the external acoustic noise outside the structure. On the second part, an algorithm that allows estimation of the acoustic noise inside the structure based on the structure's vibrations measurements will be suggested. In order to allow estimation of the external and internal noise, this study is based on two experiment's configurations. One is a wind tunnel experiment, in which the suggested models and algorithms could be tested at different velocities and in controlled environment. The second is a flight experiment, in which the environmental conditions are more realistic then the wind tunnel experiment, but much harder to control.
הסמינר יינתן בעברית
שני, 15-02-2021, 12:30 (פגישת זום)https://technion.zoom.us/j/99708099172