CHARACTERIZATION OF COMPOSITE MATERIALS DAMAGE UNDER BUCKLING TEST USING WAVELET TRANSFORM
محل انتشار: کنفرانس ملی مهندسی مکانیک ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,188
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
NCMII01_002
تاریخ نمایه سازی: 22 اردیبهشت 1393
چکیده مقاله:
The non-destructive Acoustic Emission (AE) techniques acquire and analyse the signals emitted from the deformation or fracture of materials under external loading. In this study, the AE techniques with statistical analysis were used to study the damage process of composite laminate under buckling loads. The obtained AE signals were decomposed into various wavelet levels Different damage mechanisms are activated within the composite laminate during loading scenario. These damage entities are acting in different space and time scales within the service life of the structure and may be interdependent. Loading of composite laminates in particular leads to the accumulation of distinct damage mechanisms, such as matrix cracking, delamination between successive plies and fibre rupture at the final stage of loading. The tested of glass/polyester composite specimens include two lay-up patterns: [0]6s and [45/-45]6s. Moreover, the microscopic properties of different composite specimens after fracture are watched and analysed by scanning electron microscope (SEM). The results wavelet-transform based show that the energy of AE signals has been concentrated in two significant components for both types of specimens, and the dependency percentage of damages in the two specimens is different. The results indicate that wavelets-based signal processing may be a useful tool in the analysis of acoustic emissions.
کلیدواژه ها:
نویسندگان
Saeid Abazary
Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Kermanshah, Iran
Bahman Abazary
Department of Mechatronic Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :