USAF Test Pilot School and DARPA Announce Breakthrough in Aerospace Machine Learning
EDWARDS AIR FORCE BASE, Calif. — The U.S. Air Force (USAF) Test Pilot School and the Defense Advanced Research Projects…
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Major Milestone Reached for Key Weapons Component
ALBUQUERQUE, N.M. — Sandia National Laboratories and the Kansas City National Security Campus completed a crucial weapons component development milestone, prior…
RACER Speeds Into a Second Phase With Robotic Fleet Expansion and Another Experiment Success
DARPA’s Robotic Autonomy in Complex Environments with Resiliency (RACER) program successfully tested autonomous movement on a new, much larger fleet…
Manta Ray UUV Prototype Completes In-Water Testing
The Manta Ray prototype uncrewed underwater vehicle (UUV) built by performer Northrop Grumman completed full-scale, in-water testing off the coast…
Machine-Learning Algorithm Reveals Long-Theorized Glass Phase in Crystal
A dish made of crystal and a dish made of glass might look similar from the outside, but internally, their…
AFRL Researchers Pave the Way to Lighter, Faster Additively Manufactured Rocket Engines
EDWARDS AIR FORCE BASE, Calif. (AFRL) – The U.S. Air Force Research Laboratory, or AFRL, Rocket Propulsion Division, recently designed,…
NRL Releases “25 Technologies for the Next 25 Years,” Ensuring Future Maritime Dominance
WASHINGTON – The U.S. Naval Research Laboratory (NRL) releases 25 Technologies for the Next 25 Years publication featuring a collection of science and engineering…
U.S. Army Combat Capabilities Development Command (DEVCOM) Analysis Center (DAC) RelTools Dashboard
Reliability is the probability that an item will perform its intended function for a specified period under stated conditions. It has a significant impact on operating and sustainment costs within the U.S. Department of Defense (DoD), which typically represent 70% of the program’s total life-cycle costs [1].
A Surrogate Model to Quantify Uncertainty in Thermal Protection Systems for Hypersonic Weapons
Modeling and simulation are key for the iterative development of thermal protection systems (TPS’s) for hypersonic weapons. In this work, the temperature-dependent flexural strength (FS) of α-SiC ceramic is predicted given Young’s modulus, Poisson’s ratio, and temperature. An artificial neural network (ANN) surrogate model is created to retain property-performance prediction while increasing computation speed.
Revolutionizing Naval Logistics: The Challenges and Prospect of Metal Additive Manufacturing on U.S. Navy Ships
In 2022, the U.S. Navy installed the first-ever permanent metal AM machine aboard a U.S. naval vessel. This technology is projected to be groundbreaking by reducing resupply logistics and diminishing obsolescence: “For the Navy, the greatest immediate potential is in the less-exotic field of logistics” [1].
What Makes a Simulation Credible? Cost-Effective VV&A in the Systems Engineering Process
The U.S. Naval Air Warfare Center Aircraft Division (NAWCAD) Verification, Validation, and Accreditation (VV&A) Branch has developed and is executing a cost-effective, risk-based VV&A process for models and simulations (M&S) used to support the U.S. Department of Defense (DoD).
U.S. Department of Defense to Expand Manufacturing of Printed Circuit Board Assemblies for Hypersonic Weapons
The U.S. Department of Defense announced an award of $11.7 million via the Defense Production Act Investment (DPAI) Program to…