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August 3, 2020 | International, Aerospace

Budget Shows Flightworthy Sixth-Generation Fighter Engines Ready By 2025

Steve Trimble July 31, 2020

Details of the first of two mostly secret initiatives to support the U.S. Air Force's five-year-old pursuit of a sixth-generation successor to the Lockheed Martin F-22 are now released and reveal that a critical technology for the Next-Generation Air Dominance program could become flightworthy by mid-2025.

GE Aviation and Pratt & Whitney are scheduled to complete separate competitive designs for a Next-Generation Adaptive Propulsion (NGAP) system by the second quarter of 2022 and finish assessments on a full-scale engine three years later, according to Air Force budget documents.

The schedule and spending details on the NGAP appeared for the first time in the Air Force's budget justification documents for fiscal 2021 that were submitted to Congress in February, but passed unnoticed for several months. The Air Force awarded GE and Pratt each a $427 million contract to support the NGAP program, but the details were shrouded in budget documents within the related Adaptive Engine Transition Program (AETP), an unclassified effort to develop a reengining candidate for the Lockheed F-35.

After Senate authorizers cited the Air Force's lack of transparency for justifying a $270 million budget cut for AETP this year, service officials decided to break out funding for the NGAP in budget documents.

In fact, the NGAP program reappeared in the fiscal 2021 budget documents for the first time in more than six years. The Air Force has kept all details about the Next-Generation Air Dominance (NGAD) program highly secret since 2016, but there was a brief, two-year window in 2014-15 when senior defense officials provided information about the underlying technology development efforts.

The NGAP was first referenced in testimony by Alan Shaffer before House Armed Services Committee in March 2014. Shaffer is now the deputy to Ellen Lord, undersecretary of defense for acquisition and sustainment. Six years ago, he was the principal deputy to the director for research and engineering. In that role, Shaffer introduced the NGAP as an enabler to the NGAD program, along with another, complementary initiative focused on new airframes.

“This program will develop and fly two X-plane prototypes that demonstrate advanced technologies for future aircraft,” Shaffer said in 2014. “Teams will compete to produce the X-plane prototypes, one focused on future Navy operational capabilities, and the other on future Air Force operational capabilities.”

A year later, Frank Kendall, then undersecretary of defense for acquisition, technology and logistics, elaborated on the Aerospace Innovation Initiative (AII). The development of the X-planes would be led by DARPA, he said.

“To be competitive, the Navy and the Air Force each will have variants focused on their mission requirements,” Kendall said. “There will be a technology period leading up to development of the prototypes. This will lead to the systems that ultimately will come after the F-35.”

The results of the AII program have not been released or even acknowledged by Air Force or defense officials since 2015, but the initiative suggests that one or two X-plane aircraft could be in testing now.

Kendall's remarks to Congress in 2015 came a year before the Air Force received the results of an Enterprise Capability Collaboration Team on the Air Superiority 2030 Flight Plan, which urged the development of a family of systems anchored by a next-generation fighter to replace the F-22. The Flight Plan prompted the Air Force to commission an analysis of alternatives (AoA) in late 2016. The results of that study were originally scheduled to be released by the end of 2017, but the analysis continued until early 2019.

Meanwhile, a 2015 presentation by the Air Force Research Laboratory showed a notional schedule for the NGAD program; a contract award to launch the engineering and manufacturing development (EMD) phase is set for fiscal 2023. As late as the Air Force's fiscal 2019 budget request, the financial resources devoted to the NGAD appeared to support that schedule: A significant increase in funding starts in fiscal 2023, and $13 billion is set aside overall between fiscal 2019 and 2023. Last year, however, as the results of the AoA study became available, the Air Force appeared to defer the launch of the EMD by at least a few years. The fiscal 2020 budget request included only $6.6 billion for the NGAD from fiscal 2020-24.

Funding for the NGAD and NGAP programs is accounted for separately in Air Force budget documents. The fiscal 2021 budget justification documents reveal that the Air Force spent $106 million for the NGAP in fiscal 2019. Another $224 million is allocated to the NGAP this year. But the program has requested an additional $403 million in fiscal 2021, the budget documents show.

“The Next-Generation Adaptive Propulsion effort consists of four phases: preliminary design, detailed design, engine fabrication and engine assessments,” the Air Force's budget documents state.

“Program deliverables include military adaptive engine detailed design parameters and models, engine hardware (plus spare parts), matured technologies, major rig assessment data (controls, combustor, etc.), program reviews, and technology, affordability and sustainability studies for next generation fighter aircraft,” the documents add.

https://aviationweek.com/defense-space/budget-policy-operations/budget-shows-flightworthy-sixth-generation-fighter-engines

On the same subject

  • Four technologies Japan and the US should team on to counter China

    April 20, 2020 | International, Aerospace, Naval, Land, C4ISR

    Four technologies Japan and the US should team on to counter China

    Aaron Mehta WASHINGTON — The U.S. and Japan need to expand their collaboration on defense technologies in the future, with a specific focus on four technologies that can help counter the rise of China, according to a new report released Friday by the Atlantic Council. The report also highlights the ongoing discussions about U.S. involvement in Japan's next domestic fighter program as a high-stakes situation that could dictate industrial cooperation between the two nations for years. “The most important component of cooperation on defense capabilities is direct coordination and collaboration on emerging technologies and capabilities,” write authors Tate Nurkin and Ryo Hinata-Yamaguchi, identifying unmanned systems, hypersonic/hyper-velocity missiles, and the defense applications of AI as three key areas where the U.S. and Japan need to start working together on. “These three areas are at the center of the intensifying U.S.-China military-technological competition. They are key to challenging or upholding military balances and stabilizing imbalances in and across key domain-area competitions — strike versus air and missile defense or undersea — on which regional and, over time, global security is at least partly based,” the authors note. Specifically, the authors identify four project areas that both fit into U.S. strategy and Japan's regional interests, while also matching industrial capabilities: Swarming technology and the loyal wingman: For several years the Pentagon has been investing R&D funding into the development of drones that can be slaved to a fighter jet, providing a “loyal wingman” controlled by the one pilot. Drone swarms are another area of heavy investment. Both concepts fit for Japan, whose Ministry of Defense expressed interest in both concepts going back as far as 2016. Unmanned underwater vehicles and anti-submarine warfare capabilities: China has invested heavily in submarines over the last decade, both manned and unmanned. The U.S. has also begun investing in UUV capabilities, but while Japan's IHI has developed a domestic UUV, the MoD has yet to go all in on the capability. The authors note it is a logical area of collaboration. AI-enabled synthetic training environments: The U.S. and Japan ran a joint synthetic training exercise in 2016, but the authors would like to see development expanded in the future. “Given both countries' need to accelerate training, their shared competency in machine learning and virtual and augmented reality, and a highly fractured simulation and training market, there is potential for a collaborative program to develop a synthetic simulation and training capability, to stress the specific operational contingencies to which US and Japanese forces will have to respond,” they write. Counter-unmanned systems: The entire world seems to be investing in weapons to counter unmanned systems, but the authors see a solid spot for the two nations to find workable technologies together. Japan's acquisition group is currently testing a “high-power microwave generation system” for this mission. That all sounds good on paper, the authors acknowledge, but there are very real challenges to increasing technology development between the two countries. Japan's modernization priorities are best viewed through a defensive lens, designed to protect the island nation. That's a contrast to America's posture in the region, which tends more towards force projection. In addition, Japan lags in military space and cyber operations compared to the U.S., making cross-domain collaboration challenging in several areas. Those negotiations have also been impacted by “different perceptions of the nature of joint technology research,” the authors write. “U.S. defense officials have ‘emphasized operational concepts and capability requirements as the basis for collaboration,' while Japanese officials have ‘continued to focus on technology development and industrial base interests.'” Other challenges include Japan's 1 percent-of-GDP cap on defense spending, as well as the state of Japan's defense industry, which until 2014 was focused entirely on serving the Japanese government's needs. Hence, the industry, while technically very competent, is also relatively small, with limited export experiences – and Tokyo has an interest in protecting that industry with favorable contracts. Meanwhile, U.S. firms have concerns about “potentially losing revenue, transfer of sensitive technologies, and the potential replacement of US companies with Japanese ones in critical supply chains,” the authors write. Some of those issues have come to the forefront in the ongoing discussions about what role American firms can play in Japan's ongoing fighter development program. Japan recently rejected an offer by Lockheed Martin of a hybrid F-22/F-35 design, stating that “developing derivatives of existing fighters cannot be a candidate from the perspective of a Japan-led development.” Getting the F-3 deal right will have long term implications for how the two nations develop capabilities together, the authors warn, quoting defense analyst Gregg Rubinstein in saying “Successfully defining a path to U.S.-Japanese collaboration on this program could make the F-3 an alliance-building centerpiece of cooperative defense acquisition” while failure to do so could “undermine prospects for future collaboration in defense capabilities development.” Putting aside the internal issues, any collaboration between the U.S. and Japan has to be considered through the lens it will be see in Beijing and, to a lesser extent, Seoul. “Even marginal differences in perception produce limits to the parameters of U.S.-Japan joint development of, and coordination on, military capabilities. Especially provocative programs like joint hypersonic-missile development will be viewed as escalatory, and will likely generate a response from China,Russia, and/or North Korea that could complicate other trade or geopolitical interests that go beyond Northeast Asia,” the authors warn, noting that China could attempt to exert more pressure on the ASEAN nations as a counterweight. Additionally, South Korea would likely “see substantial U.S.-Japan collaboration not through an adversarial lens, but certainly through the lens of strained relations stemming from both historical and contextual issues, further complicating U.S.-Japan-Republic of Korea trilateral cooperation.” https://www.c4isrnet.com/global/asia-pacific/2020/04/16/four-technologies-japan-and-the-us-should-team-on-to-counter-china/

  • Raytheon AI: Fix That Part Before It Breaks

    March 23, 2020 | International, Land, C4ISR

    Raytheon AI: Fix That Part Before It Breaks

    A modern mechanized military lives or dies by maintenance. But what if a computer could warn you when your weapons and vehicles were about to break, so you could fix them before they ever let you down? By SYDNEY J. FREEDBERG JR. WASHINGTON: Raytheon is working with the military on multiple pilot projects for AI-driven predictive maintenance. What's that? Traditionally, military mechanics spend a huge amount of time on what's called preventive maintenance: They carry truckloads of spare parts to war, they consult historical tables of roughly how often certain parts wear out or break down, and they preemptively crack open the access hatches to check those parts on a regular basis. The idea behind predictive maintenance is to feed all that historical data into a machine learning algorithm so it can tell maintainers, vehicle by vehicle and part by part, when something is likely to fail. It's a tremendous technical challenge that requires scanning in years of old handwritten maintenance forms, downloading digital records, and then constantly updating the database. Ideally, you want up-to-the-minute reports on things like engine temperature and suspension stress from diagnostic sensors installed in frontline vehicles. You need to account not only for what kind of equipment you're operating, but how hard it's running for a particular mission and even where in the world it's operating, because environmental conditions like heat, moisture, dust, and sand make a huge difference to wear and tear. And you can't just push out a single software solution and call it done. You have to constantly update your data so the algorithm can continue to learn, evolve, and adapt to different situations. But, Raytheon's Kevin Frazier and Butch Kievenaar told me, artificial intelligence and machine learning have advanced dramatically over just the last five years. Now Raytheon – a long-established defense contractor – is partnered with a flock of niche innovators to make it happen. Currently, they told me, Raytheon is already conducting or about to launch several multi-month pilot projects, seeking to prove the technology's value to the military: For the Army, they're working with a commercial partner on the M2 Bradley Infantry Fighting Vehicle, the mainstay armored troop transport of the heavy combat brigades, and the hulking M88 Hercules, a tracked “armored recovery vehicle” designed to tow broken-down battle tanks back for repair, if necessary under enemy fire. For the V-22 Joint Program Office – which supports the Osprey tiltrotor for the Marines, Air Force Special Operations Command, and now the Navy – they're working on the V-22's collision-avoidance radar, a Raytheon product. And across their customer base, they're looking at ways to do predictive maintenance on the many complex components Raytheon provides for a host of programs. How does this work? Let's hear from Kevin and Butch in their own words (edited for clarity and brevity from a highly technical 50-minute interview): Q: What kinds of problems can this technology help the military solve? Kevin: Right now, maintenance is conducted either on a scheduled timeline or when something breaks. What we are trying to do is replace that one piece because you know it's about to wear out and prevent it from breaking. Butch: One of the biggest things is you've got to understand what mission you're trying to achieve. If I'm trying to answer platform readiness questions, then I have to have certain data that's related to that topic. If I am trying to do supply chain analysis, I'm asking questions about where are critical parts and what size stockages we have to have to reduce turnaround time. So I'm answering a different question, and I'm looking at a different data set. So the key to setting all this up is what you do on the front end with your data to give the data scientists so that we can refine the algorithm appropriately. Q: AI/ML requires a lot of data. Is that data really available for all these different military systems? Kevin: It is. It's in different states. Some vehicles have sensors on them. Some do self-diagnostics. Some of the older equipment, especially the support equipment, doesn't have any sensors on them — but they all have files. They all are in the maintenance system, so the data exists. Data doesn't have to purely digital. It does have to be digitized at some point, but it doesn't necessarily have to start being digital. It could be maintenance logs that are hand-written, or the operator of a particular vehicle does a walk around and does an inspection report, writes that up — that's something that you actually can scan and input. Now we can add so many different types of data that your whole data environment becomes much richer. It helps you get to that algorithm — and then to continue to take in that data and refine that model. You're still recording that data and getting data from both handwritten and digital sources to update your model and tune it, so that you're just that much more accurate. Butch: What we're talking about is discrete algorithms solving for discrete problem sets. You look at the environment, and what the algorithm does is it learns. You keep ingesting data. You can get it a bunch of different ways so your analytical tool continues to learn, continues to refine. I can do a physical download from the vehicle, or scan maintenance records, or get it all fed off of a downloader that automatically feeds to the cloud. It can be as fast as we can automate the process of that piece of equipment feeding information back. For the Army and the Air Force especially, there is sufficient data over the last 15 that pertains to the impacts of combat. And we have it for different environments that you can then use to help train and refine the algorithms that you're using as it learns. Kevin: You have to understand the impacts the environment has on how the vehicle is functioning and what type of a mission you're doing, because that will cause different things to wear out sooner or break sooner. That's what the AI piece does. The small companies that we partner with, who are very good at these algorithms, already do this to some extent in the commercial world. We're trying to bring that to the military. Butch: The really smart data scientists are in a lot of the smaller niche companies that are doing this. We combine their tools with our ability to scale and wrap around the customer's needs. These are not huge challenges that we're talking about trying to solve. It is inside the current technological capability that exists. We have currently several pilot programs right now to demonstrate the use cases, that this capability that actually works. https://breakingdefense.com/2020/03/raytheon-ai-fix-that-part-before-it-breaks

  • Contract Awards by US Department of Defense - December 31, 2018

    January 2, 2019 | International, Aerospace, Naval, Land, C4ISR, Security

    Contract Awards by US Department of Defense - December 31, 2018

    ARMY Great Lakes Dredge & Dock Co. LLC, Oak Brook, Illinois, was awarded a $92,551,470 firm-fixed-price contract for channel improvement project, entrance channel with extension, and dredging. Bids were solicited via the internet with two received. Work will be performed in Corpus Christi, Texas, with an estimated completion date of Jan. 31, 2020. Fiscal 2016, 2017, 2018 and 2019 operations and maintenance; general construction; and non-federal funds in the combined amount of $92,551,470 were obligated at the time of the award. U.S. Army Corps of Engineers, Galveston, Texas, is the contracting activity (W912HY-19-C-0002). BAE Systems Ordnance Systems Inc., Radford, Virginia, was awarded an $89,520,585 modification (0053 09) to contract W52P1J-11-G-0053 for operations and maintenance of Radford Army Ammunition Plant. Work will be performed in Radford, Virginia, with an estimated completion date of Dec. 31, 2019. Fiscal 2010, 2016 and 2017 other procurement, Army funds in the combined amount of $8,929,605 were obligated at the time of the award. U.S. Army Contracting Command, Rock Island Arsenal, Illinois, is the contracting activity. BAE Systems Ordnance Systems Inc., Kingsport, Tennessee, was awarded a $74,756,071 modification (P00678) to contract DAAA09-98-E-0006 for Building G-3 NQ/RDX recrystallization construction at Holston Army Ammunition Plant. Work will be performed in Kingsport, Tennessee, with an estimated completion date of Nov. 30, 2021. Fiscal 2018 other procurement, Army funds in the amount of $74,756,071 were obligated at the time of the award. U.S. Army Contracting Command, Rock Island Arsenal, Illinois, is the contracting activity. Honeywell International Inc., Phoenix, Arizona, was awarded a $20,335,554 modification (P00100) to contract W56HZV-12-C-0344 for hardware services. Work will be performed in Phoenix, Arizona, with an estimated completion date of Dec. 31, 2019. Fiscal 2019 other procurement, Army; and Army working capital funds in the amount of $20,335,554 were obligated at the time of the award. U.S. Army Contracting Command, Warren, Michigan, is the contracting activity. STG Inc.,* Reston, Virginia, was awarded a $17,098,410 modification (P00011) to contract W91RUS-18-C-0007 for information technology support services. Work will be performed in Fort Huachuca, Arizona, with an estimated completion date of June 30, 2019. Fiscal 2019 operations and maintenance Army funds in the amount of $17,098,410 were obligated at the time of the award. U.S. Army Contracting Command, Aberdeen Proving Ground, Maryland, is the contracting activity. Melwood Horticultural Training Center Inc., Upper Marlboro, Maryland, was awarded a $9,986,235 modification (P00014) to contract W91QV1-18-C-0008 for base operations. Work will be performed in Fort Meade, Maryland, with an estimated completion date of June 30, 2019. Fiscal 2019 operations and maintenance funds in the amount of $9,986,235 were obligated at the time of the award. U.S. Army Mission and Installation Contracting Command, Fort Belvoir, Virginia, is the contracting activity. AIR FORCE DynCorp International LLC, Fort Worth, Texas, has been awarded a $75,020,715 firm-fixed-price contract for rotary wing aircraft maintenance. This contract provides for services to support all management, personnel, equipment and services necessary to perform 811th Operations Group rotary wing flight line maintenance. Work will be performed at Joint Base Andrews, Maryland, and is expected to be complete by June 30, 2024. This award is the result of a competitive acquisition and five offers were received. Fiscal 2019 operations and maintenance funds in the amount of $28,555, are being obligated at the time of award. 11th Contracting Squadron, Joint Base Andrews, Maryland, is the contracting activity (FA2860-19-C-0005). (Awarded Dec. 27, 2018) Pinnacle Solutions Inc., Huntsville, Alabama, has been awarded a $20,562,123 firm-fixed-price modification (P00040) to previously awarded contract FA8621-16-C-6281 for support of the KC-10 training system. This modification provides for the exercise of the fourth year option and incorporates within scope changes to contractual requirements resulting from a mutual agreement of the parties, and brings the total cumulative face value of the contract to $100,583,419. Work will be performed at Travis Air Force Base, California; Joint Base McGuire-Dix-Lakehurst, New Jersey; and Fairfield, California. Work is expected to be complete by Dec. 31, 2019. Fiscal 2019 operations and maintenance funds in the amount of $20,316,980 are being obligated at the time of award. Air Force Life Cycle Management Center, Wright-Patterson AFB, Ohio, is the contracting activity. *Small business https://dod.defense.gov/News/Contracts/Contract-View/Article/1722766/source/GovDelivery/

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