Матеріали конференцій кафедри авіаційної інженерії

Permanent URI for this collectionhttp://er.nau.edu.ua/handle/NAU/30704

Browse

Browsing Матеріали конференцій кафедри авіаційної інженерії by Author "Ignatovich, S.R."

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Computer aided optical method for aircraft's components fatigue life estimation
    (2008-09) Ignatovich, S.R.; Karuskevich, M.V.; Maslak, T.P.
    The results of numerous tests show that quantitative estimation of accumulated fatigue damage may effectively be conducted by computer-aided optical analysis of the surface state. The method may be applied for alclad alluminium alloys which are used for modern aircraft skin manufacturing. The developed optical system and its software allow to determine the density of the areas with slip bands (damage parameter D), and a set of surface pattern fractal dimensions. These parameters allow to indicate more dangerous points of aircraft structures, predict fatigue crack under full scale test of aircraft structures as well as estimate residual service life.
  • Thumbnail Image
    Item
    Fatigue cracks growth features in aluminum alloy D16AT
    (2016) Ignatovich, S.R.; Krasnopolskii, V.S.
    This paper investigates the description of the fatigue cracks growth in sheet aluminum alloy D16AT by exponential dependence. The results show that the propagation of all investigated fatigue cracks can be satisfactorily described by this dependence with grate values of the determination coefficient.
  • No Thumbnail Available
    Item
    The evaluation of the crack-like damage parameter of blades at the vibroacoustical diagnosis of the gas-turbine engines
    (2012-05) Ignatovich, S.R.; Bouraou, N.
    This work is devoted to vibroacoustical condition monitoring of the gas-turbine engines (GTE) blades and diagnosis of the crack-like damages at the steady-state and non-steady-state modes of GTE. For detection of the mentioned damages we proposed the application and further development of the low-frequency vibroacoustical diagnostic methods which use vibrating and acoustical noise as diagnostic information. The following amplitude dimensionless characteristics are used as fault features: probability factor, peak factor and factor of background. The evaluation of the crack-like damage of the blades is carried out at the steady-state and non-steady-state modes by using the generalized likelihood method. The statistical quality of the received estimations is investigated.