Following deficiency, Marines add comms capability to ACV variant

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  November 1, 2017 | International, Security

  U.S.-Canada to Test Cross-border Communication for Disaster Response

  Newswise — WASHINGTON—Emergency management officials and first responder agencies on both sides of the border between the United States and Canada will work together for an experiment in disaster response. The U. S. Department of Homeland Security Science and Technology Directorate and Canada Department of National Defence's Centre for Security Science will be conducting the fifth Canada-U.S. Enhanced Resiliency Experiment (CAUSE V) on November 15-16, 2017. This year's exercise scenario will be based on a volcanic eruption and crater collapse at Mt. Baker. Mt. Baker is an active volcano and closely monitored by the USGS. It is visible to local residents on both sides of the border. CAUSE V will take place along the border between the Canadian province of British Columbia (B.C.) and the state of Washington (WA). The scenario involving a (simulated) Mt. Baker volcanic eruption and subsequent mudflow was developed with help from the U.S. Geological Survey and will provide a realistic opportunity to test cross-border communications and interoperability between U.S. and Canadian first responder and emergency management agencies. Participants will include local first responders, emergency management agencies from Whatcom County, Washington in the U.S., the City of Abbotsford, City of Langley and the Township of Langley in B.C., U.S. Customs and Border Protection and Canada Border Services Agency. This experiment will use emerging tools for enhanced situational awareness and communications to plan for, respond and recover from this disaster. Wednesday, November 16 12:00 PM PDT U.S. Department of Homeland Security Science and Technology Directorate and Canada Minister of Defence's Center for Security Science will hold a joint press conference on the conclusion of the fifth Canada-U.S. Enhanced Resiliency Experiment (CAUSE V). Whatcom County Unified Emergency Coordination Center 311 Grand Ave, Bellingham, WA 98225 Credentialed media planning to attend are required to RSVP no later than November 13 by contacting Evrim Bunn at evrim.bunn@associates.hq.dhs.gov or 1 (202) 768-5554. http://www.newswise.com/articles/u-s-canada-to-test-cross-border-communication-for-disaster-response

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  December 17, 2023 | International, Aerospace

  SpaceX targets Dec 28 for launch of US military's secretive X-37B spaceplane

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  October 1, 2018 | International, Naval

  LOCKHEED MARTIN CONTRACT TO MARRY MACHINE LEARNING WITH 3-D PRINTING FOR MORE RELIABLE PARTS

  U.S. Navy research contract could make complex metal additive manufacturing a reality both in production centers and deep in the field DENVER, Oct. 1, 2018 /PRNewswire/ -- Today, 3-D printing generates parts used in ships, planes, vehicles and spacecraft, but it also requires a lot of babysitting. High-value and intricate parts sometimes require constant monitoring by expert specialists to get them right. Furthermore, if any one section of a part is below par, it can render the whole part unusable. That's why Lockheed Martin (NYSE: LMT) and the Office of Naval Research are exploring how to apply artificial intelligence to train robots to independently oversee—and optimize—3-D printing of complex parts. The two-year, $5.8 million contract specifically studies and will customize multi-axis robots that use laser beams to deposit material. The team will develop software models and sensor modifications for the robots to build better components. Lockheed Martin Metal 3D printer "We will research ways machines can observe, learn and make decisions by themselves to make better parts that are more consistent, which is crucial as 3-D printed parts become more and more common," said Brian Griffith, Lockheed Martin's project manager. "Machines should monitor and make adjustments on their own during printing to ensure that they create the right material properties during production." Researchers will apply machine learning techniques to additive manufacturing so variables can be monitored and controlled by the robot during fabrication. "When you can trust a robotic system to make a quality part, that opens the door to who can build usable parts and where you build them," said Zach Loftus, Lockheed Martin Fellow for additive manufacturing. "Think about sustainment and how a maintainer can print a replacement part at sea, or a mechanic print a replacement part for a truck deep in the desert. This takes 3-D printing to the next, big step of deployment." Currently, technicians spend many hours per build testing quality after fabrication, but that's not the only waste in developing a complex part. It's common practice to build each part compensating for the weakest section for a part and allowing more margin and mass in the rest of the structure. Lockheed Martin's research will help machines make decisions about how to optimize structures based on previously verified analysis. That verified analysis and integration into a 3-D printing robotic system is core to this new contract. Lockheed Martin, along with its strong team, will vet common types of microstructures used in an additive build. Although invisible from the outside, a part could have slightly different microstructures on the inside. The team will measure the performance attributes of the machine parameters, these microstructures and align them to material properties before integrating this knowledge into a working system. With this complete set of information, machines will be able to make decisions about how to print a part that ensures good performance. The team is starting with the most common titanium alloy, Ti-6AI-4V, and integrating the related research with seven industry, national lab and university partners. About Lockheed Martin Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company that employs approximately 100,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. This year the company received three Edison Awards for ground-breaking innovations in autonomy, satellite technology and directed energy. SOURCE Lockheed Martin https://news.lockheedmartin.com/2018-10-01-Lockheed-Martin-Contract-to-Marry-Machine-Learning-with-3-D-Printing-for-More-Reliable-Parts