Modeling the Roll-out Deployment of a Bistable Laminated Composite Tubular Mast
Researchers modeled the roll-out deployment of a bistable laminated composite tubular boom, calculating its driving force and predicting deployment velocity, ...
Tag: aerospace engineering
Two-Fluid Turbulence Model Tracks Supersonic Jet With Striking Accuracy
A new two-fluid turbulence model reproduces NASA benchmark data for a Mach 1.63 supersonic jet more accurately than the conventional ...
Serrated Airfoils Reshape Stall Behavior in CFD, Wind Tunnel and Machine Learning Study
A combined CFD, wind tunnel and neural network analysis shows trailing-edge serrations raise stall angles on NACA 0012 airfoils while ...
Flight Data Meets Its Match: Smarter Look-up Tables Tame the Bias-Variance Trade-off in Aerodynamic Models
Researchers in South Korea have developed a nested optimization method that builds multivariable look-up tables for aerodynamic discrepancy models from ...
Pruning Bayesian Networks: Smarter Model Calibration for Deep-Space Digital Twins
Carnegie Mellon researchers show that pruning Bayesian networks with domain-driven metrics outperforms purely statistical methods for multi-model calibration in aerospace ...
New Swarm Intelligence Framework Orchestrates Heterogeneous Drone Fleets With Split-Second Timing
A two-layer swarm intelligence framework from Xidian University and CETC researchers coordinates heterogeneous unmanned swarms by coupling task allocation with ...
A New Mathematical Blueprint for Flight: Closed-Form Equations Bring Aerobatic Manoeuvres Into the Classroom
Researchers have derived a closed-form nonlinear model of longitudinal aircraft motion that, free of experimental data tables, recovers classic stability ...
Aerospace Engineering Faces Six Grand Challenges That Will Define Flight’s Next Century
From AI-certified autonomy to scramjets and hydrogen propulsion, a new analysis maps the six technology frontiers that will decide the ...
Digital Twin Generates 70,000 Fault Scenarios to Train Smarter Aircraft Health Monitoring
Researchers at Cranfield University built a digital twin of aircraft electromechanical actuators that generated 70,000 labelled fault simulations to train ...
Time-series foundation models fall short of specialized models in digital twin predictive maintenance benchmark
A controlled benchmark of MOMENT, UniTS, and FFTS on the C-MAPSS turbofan dataset shows time-series foundation models generalize across imputation, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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