Abstract Current research on Digital Twin (DT) based Prognostics and Health Management
(PHM) focuses on establishment of DT through integration of real-time data from various …

This study explores the effect of Vee bending process parameter on the springback (SB)
behavior of aluminum (AA5052) alloy at sheet thickness of (2 and 3mm) with die-opening …

The identification of antibody-specific epitopes on virus proteins is crucial for vaccine
development and drug design. Nonetheless, traditional wet-lab approaches for the …

An accurate aircraft dynamic model is essential for the flight control system design and flight
characteristic analysis of tiltrotor unmanned aerial vehicle (UAV). The unique aerodynamic …

Revealing the coupling mechanism between the nonlinear effect and the multi-physical
fields in the bistable plate, as well as the interaction between multiple impacts, promotes the …

This research aims to comprehensively analyze the most essential uses of artificial
intelligence in Aerospace Engineering. We obtained papers initially published in academic …

The rise in environmental pollution, demand for fossil fuels, and higher fuel economy
vehicles has raised concerns about the creation of new and efficient transportation vehicles …

High-precision operational flight loads are essential for monitoring fatigue of individual
aircraft and are usually determined by flight parameters. To tackle the nonlinear relationship …

Dynamic load identification plays an important role in the field of fault diagnosis and
structural modification design for aircraft. In conventional dynamic load identification …

Digital Twin (DT) technology has gained significant attention in various areas, including
nuclear energy. Technologies such as machine learning, artificial intelligence, and high …