Contract Awards by US Department of Defense - October 12, 2018

Sur le même sujet

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  28 juin 2023 | International, Naval

  US Marine Corps begins developing smaller pre-positioning ship

  Marines want a smaller alternative to the Large, Medium-speed Roll-on/Roll-off ships of today to better sustain distributed operations in the 2030s.

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  1 octobre 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

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  20 septembre 2018 | International, Aérospatial, C4ISR

  The new critical capabilities for unmanned systems

  By: Ryan Hazlett With unmanned systems becoming ever more ubiquitous on the battlefield, the question of where unmanned systems and accompanying technologies, such as autonomy, are headed is in the limelight. First, to better understand the future direction of the unmanned field, it is instructive to note some important trends. The number of uses for unmanned systems on the battlefield has increased significantly in the post-9/11 conflicts in Afghanistan and Iraq, with the U.S. Army's Shadow® Tactical Unmanned Aircraft System (UAS) program having logged nearly 1 million flight hours in those areas of operation. The proliferation and commoditization of UAS capabilities is a global phenomenon, as demonstrated by both the widespread possession of UAS hardware as well as the ability to indigenously produce at least rudimentary unmanned systems. Growth of the nascent commercial unmanned systems market has added to this trend, as has the government's emphasis on a greater use of commercial off-the-shelf solutions. But while commoditization has occurred at the platform level — particularly among smaller airborne vehicles — overcoming the challenges of adversaries employing anti-access area-denial (A2AD) military strategies requires far more capable solutions than simply having hordes of cheap drones. In this environment, how will U.S. and allied forces retain their advantage? Critical capabilities and technologies are necessary. These include the ability to dynamically swarm, conduct automatic target recognition, possess on-board autonomy and artificial intelligence, as well as have interoperable communications capabilities. First, future platforms — manned or unmanned — will increasingly need better collaboration between the sensors and payloads they carry and with allied forces. This growing level of collaboration and autonomy is already happening. Driven by advances in onboard computing power, as well as smaller and less power-intensive sensors and advanced algorithms, tomorrow's unmanned systems will be able to better communicate among themselves and make their own decisions on basic functions, such as navigation, to enable dynamic swarming or to identify areas of interest during intelligence, surveillance and reconnaissance missions. Next, systems that can seamlessly operate and communicate with other military platforms across domains will be the most successful. Gone are the days when largely mission-specific platforms dominated the force composition. With platforms needing to be highly capable to meet A2AD threats, a mission-specific approach will simply be unaffordable. Instead, increasingly we see platforms that can act as highly capable but also flexible “trucks” that can easily swap payloads designed for specific missions, while the overall platform serves many needs. Multi-domain abilities for conducting command and control (C2) and other tasks will also be vital as technologies move from remote-control type operations to more of a “man monitoring the loop” concept. Technological progress in providing secure communications and a level of onboard artificial intelligence are necessary enablers, as will be data fusion technologies. Initial versions of these multi-domain C2 solutions for unmanned systems are already here. For example, the U.S. Army has years of experience operating the Universal Ground Control Station and One System Remote Video Terminal that allow soldiers in tactical units to access overhead sensor video from unmanned aircraft. Next-generation, multi-domain control and collaboration technologies to take the concept to a new level are mature, allowing a single user to simultaneously operate multiple vehicles and sensors, including the ability to control numerous types of aircraft and other multi-domain unmanned systems from different manufacturers. In addition, these systems are ready to incorporate the best available software applications as “plug-ins” to an open architecture. Industry is also investing in additional technology to ensure that tomorrow's unmanned systems continue to meet U.S. and allied needs. Among them are advanced power generation, systems with improved maneuverability, and vehicles designed to deploy with lighter support and operational footprints. Done smartly, the application of technologies such as autonomy can be better integrated into unmanned systems to enable improved navigation, intelligence, surveillance and reconnaissance, as well as other tasks, while leaving a man in the loop for the use of weapons. Moreover, defense users can rightly leverage the commercial sector's work on areas such as self-driving cars and unmanned taxis that are at the forefront of artificial intelligence for navigation. But while the military can leverage such commercial developments, there are, and will remain, cyber hardening, survivability and other specific requirements that are unique to the defense marketplace and require experienced industrial partners with deep knowledge of national security needs. The ongoing move away from only long-term programs of record to the embrace of the “buy, try, and decide” model, as well as greater uses of funded prototyping, is helping to fast-track many of these promising new technologies. Companies can now match their internal research and development funding to move that innovation along and ensure the United States and its allies remain at the forefront of unmanned technologies. Ryan Hazlett is senior vice president at Textron Systems. https://www.c4isrnet.com/thought-leadership/2018/09/19/the-new-critical-capabilities-for-unmanned-systems