Monday, August 18, 2025

TEXTRON News Release: ATAC Awarded Task Order for Foreign Military Sales (FMS) F-16 Chase Fighter Jet Services


 

News Release

ATAC Awarded Task Order for Foreign Military Sales (FMS) F-16 Chase Fighter Jet Services

August 18, 2025
Task Order Supports Services for up to 27 Months of Performance

Newport News, Va. — August 18, 2025 — Airborne Tactical Advantage Company (ATAC), part of the Textron Systems segment of Textron Inc. (NYSE:TXT), announced today an initial task order under the Combat Air Forces Contracted Air Services indefinite delivery, indefinite quantity (IDIQ) contract to provide the Defense Contract Management Agency with chase flight support services for F-16 aircraft. 

The task order has a potential period of performance of up to 27 months, including base and option years with a potential value across the life of the contract of $7.82 million.

textron img

Under this contract, ATAC will provide contractor-owned and contractor-operated (COCO) aircraft to the Department of the Air Force (DAF) Foreign Military Sales (FMS) team for F-16 Production Test Support. 

Textron : ATAC Awarded Task Order for Foreign Military Sales (FMS) F-16  Chase Fighter Jet Services | MarketScreener

ATAC EXPANDS


ATAC’s aircraft will fly in the chase aircraft position during F-16 first flights and product assurance flights out of Donaldson Field, Greenville, South Carolina (KGYH). 
  • Flight operations are expected to commence in August of 2025 and run for a period of approximately two years. 
  • ATAC has been a long-time defense partner providing Adversary Air and Close Air Support Services, and this award is ATAC’s second contract dedicated to providing Research, Development, Test and Evaluation services, highlighting ATAC’s continued expansion in this market segment.
“ATAC is an industry-leader in chase flight services and adversary air training services. We have pioneered much of what are now contracted air services industry standards with a fleet of over 100 aircraft, over 105,000 flight hours, and 30 years of operating experience,” said Scott Stacy, ATAC Senior Vice President. 
 
“ATAC now provides chase and target flight services for the F-16s in Greenville, as well as the F-35 aircraft that fly from the Joint Reserve Base in Ft. Worth, Texas. We are proud to work with PMA-226, DCMA, and the Air Force and Navy in support of these critical programs. We know that these new aircraft will give pilots a decisive advantage when it counts, across the globe.”

Distribution Statement A.  Approved for public release: distribution is unlimited IAW SPR-2025-0463”

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About Airborne Tactical Advantage Company (ATAC), LLC
ATAC is the global leader of tactical airborne training, having pioneered much of what today are contracted air services industry standards. ATAC operates a fleet of over 100 aircraft, achieving over 105,000 flight hours, totaling 30 years of operating experience. ATAC has provided a wide range of contracted air support capabilities to the U.S. Department of Defense in locations world-wide, including the Continental United States, Hawaii and the Western Pacific region. ATAC has helped train crews from the U.S. Navy, Marine Corps and Air Force and regularly operates out of as many as 25 different air bases per year.

About Textron Systems
Textron Systems is a world leader in uncrewed air, surface and land products, services and support founded on the combined expertise in our family of brands that includes Textron Systems, Howe & Howe, Lycoming, and ATAC. We harness the unlimited power of teamwork to solve incredible problems across seven specialized domains: air, land, sea, propulsion, weapon systems, electronic systems and test, training & simulation. From product development and manufacturing to training, operations and support, we integrate and offer ingenious and advanced solutions to support defense, aerospace, and other customer missions. For more information, visit www.textronsystems.com.    

ABOUT TEXTRON INC.
Textron Inc. is a multi-industry company that leverages its global network of aircraft, defense, industrial and finance businesses to provide customers with innovative solutions and services. Textron is known around the world for its powerful brands such as Bell, Cessna, Beechcraft, Pipistrel, Jacobsen, Kautex, Lycoming, E-Z-GO, and Textron Systems. For more information, visit: www.textron.com

Certain statements in this press release are forward-looking statements which may project revenues or describe strategies, goals, outlook or other non-historical matters; these statements speak only as of the date on which they are made, and we undertake no obligation to update or revise any forward-looking statements. These statements are subject to known and unknown risks, uncertainties, and other factors that may cause our actual results to differ materially from those expressed or implied by such forward-looking statements, including, but not limited to, risks related to U.S. Government contracts as described in our filings with the Securities and Exchange Commission.

MEDIA CONTACTS
Textron Systems
Public Relations Team
978-657-2020
publicrelations@textronsystems.com 

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https://images.thewest.com.au/publication/C-6244417/0b0e96b226697ee7ca773d2f0a39237a2ef5a15e-16x9-x0y73w1400h788.jpg?imwidth=810&impolicy=wan_v3 

THIS MODERN WORLD Cartoon: Couldn't be better! Tom Tomorrow Monday August 18, 2025 · 5:30 AM PDT

https://cdn.prod.dailykos.com/images/1468152/story_image/TMW2025-08-18colorXL.jpg?1755359265 

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MAINSTREAM MEDIA DO-OR-DIE MOMENT A SNIPPET OF MARCO RUBIO...EURO Leaders vs Trump ----- Will Peace PREVAIL or War ESCALATE?

 
 
Aug 18, 2025
EU Leaders vs Trump Will Peace PREVAIL or War ESCALATE? 
 
A very important meeting is going to take place today at the White House between the US President Donald Trump, the EU leaders, Zelensky and Mark Rutte. They will discuss the outcome of the Alaska Summit between Donald Trump and Vladimir Putin. 
 
The most debated topic is security guarantees for Ukraine. Marco Rubio has spoken with NBC News just before this meeting and has stated that sanctions on Russia are unlikely to force Russia to agree to thew Western plan and that the fate of the war in Ukraine lies ultimately in Zelensky’s hands. 
 
The Coalition of the Willing and Zelensky has coordinated positions just before the summit and are expecting to see what Donald Trump’s position is, regarding the coalition sending troops in Ukraine. Zelensky has also stated that Ukraine needs security guarantees that work in practice just like NATO’s Article 5.
 
COALITION OF THE WILLING
Aug 18, 2025
A very important meeting is going to take place today at the White House between the US President Donald Trump, the EU leaders, Zelensky and Mark Rutte. 
 
They will discuss the outcome of the Alaska Summit between Donald Trump and Vladimir Putin. The most debated topic is security guarantees for Ukraine. 
 
Marco Rubio has spoken with NBC News just before this meeting and has stated that sanctions on Russia are unlikely to force Russia to agree to thew Western plan and that the fate of the war in Ukraine lies ultimately in Zelensky’s hands. 
 
https://assets.bwbx.io/images/users/iqjWHBFdfxIU/i3cKBkk7KmnM/v3/-1x-1.webp 

Zelenskyy: Security guarantee discussed by Trump and Putin must work like NATO Article 5

Sunday, 17 August 2025, 16:17



Volodymyr Zelenskyy. Photo: President's Office
 
The Coalition of the Willing and Zelensky has coordinated positions just before the summit and are expecting to see what Donald Trump’s position is, regarding the coalition sending troops in Ukraine. 
 
Zelensky has also stated that Ukraine needs security guarantees that work in practice just like NATO’s Article 5. 

 https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSHIsEcQDKubk_pMIxMFkBCo5ICaAnx5QvnOA&s
 
 
https://assets.bwbx.io/images/users/iqjWHBFdfxIU/i3cKBkk7KmnM/v3/-1x-1.webp 
 

 0:00 Marco Rubio  
3:51 Zelensky Article 5  
5:52 Staging the next war  
11:41 Rejecting Russia's proposal  
14:56 Macron wants "peace"  
16:25 Meeting's format  
18:28 Coalition of the willing

Zelenskyy: Security guarantee discussed by Trump and Putin must work like NATO Article 5

Sunday, 17 August 2025, 16:17



Volodymyr Zelenskyy. Photo: President's Office

President Volodymyr Zelenskyy has stated that the post-war security guarantee for Ukraine must work like NATO Article 5, which provides for collective security and defence in the event of an attack on one of the member states.

Source: Zelenskyy at a press conference with European Commission President Ursula von der Leyen

Science news: THE CHAOS CREATED BY BUBBLES

The researchers emphasize that their study is just the beginning. Future work could investigate how turbulence behaves with even more complex bubble shapes, bubble mixtures, or under different gravitational or fluid conditions.
"The more we understand the fundamental rules of in bubbly flows, the better we can harness them in real-world applications," says Dr. Ma. 
And it's pretty amazing that a theory from over 80 years ago continues to hold up in such a bubbly environment."

Elegant theory predicts the chaos created by bubbles

https://scx1.b-cdn.net/csz/news/800a/2025/elegant-theory-predict-2.jpg

High-speed cameras capture swarms of bubbles rising through an LED-illuminated water column, revealing the chaotic flow patterns of bubble-induced turbulence. Credit: B. Schröder/HZDR
A team of international researchers from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Johns Hopkins University and Duke University has discovered that a century-old theory describing turbulence in fluids also applies to a very bubbly problem: 
how rising bubbles stir the water around them.

https://i.makeagif.com/media/12-24-2014/MyLctZ.gif

Their experiments, which tracked individual and fluid particles in 3D, provide the first direct experimental evidence that so-called Kolmogorov scaling can emerge in bubble-induced turbulence. The results are published in Physical Review Letters.

Bubble-induced turbulence happens in many places: from carbonated drinks to industrial mixing processes to the crashing ocean waves. 
  • When enough bubbles rise through a fluid, their wakes stir the surrounding liquid into a complex, turbulent motion. 
  • Understanding the rules behind this chaos is essential for improving industrial designs, , and more.
Yet, a central question has long puzzled researchers:  
Can the mathematical of turbulence derived by Russian mathematician Andrey Kolmogorov in 1941—known as "K41 scaling"—apply to flows where bubbles drive the motion? 
Until now, conflicting experimental and computer simulation results made the answer unclear.
"We wanted to get a definitive answer by looking closely at the turbulence between and around bubbles, at very small scales," says Dr. Tian Ma, lead author of the study and physicist at the Institute of Fluid Dynamics at HZDR. 
To achieve that, the researchers used advanced 3D simultaneous Lagrangian tracking of both phases—a technique that allows scientists to follow both bubbles and tiny tracer particles in the surrounding water with high precision and in real time.

The experimental setup involved an 11.5 cm-wide column of water into which controlled swarms of bubbles were injected from the bottom. Four high-speed cameras recorded the action at 2,500 frames per second.

They studied four different cases, varying the bubble size and the amount of gas, to replicate realistic bubbly flows
  • Importantly, the bubbles that were 3 to 5 millimeters in diameter were large enough to wobble as they rose, creating strong turbulent wakes. 
  • In two of the four cases—those with moderate bubble size and density—the turbulence in the flow closely followed Kolmogorov's predictions at small scales, that is, for eddies smaller than the size of the bubbles. 
  • This marks the first time such scaling has been confirmed experimentally in the midst of a bubble swarm.
https://idw-online.de/en/institutionlogo37772 

Decoding turbulence: Energy cascades from big to small

"Kolmogorov's theory is elegant. It predicts how the energy that cascades from big turbulent eddies down to smaller and smaller ones—until it's eventually dissipated through viscous effects—controls the fluctuations of the turbulent fluid motion," explains co-author Dr. Andrew Bragg from Duke University.

 "Finding that this theory also describes bubble-driven turbulence so well is both surprising and exciting."

The team also developed a new mathematical formula to estimate the rate at which turbulence loses energy due to viscous effects—known as the energy dissipation rate. Their formula, which only depends on two bubble-related parameters—its size and how densely packed the bubbles are—matched the experimental data remarkably well. Interestingly, they found that Kolmogorov scaling was stronger in regions outside the bubbles' direct wakes. In those wakes, the fluid is so strongly disturbed that the classic turbulent energy cascade is overpowered.

  • One crucial insight was that for the classic Kolmogorov "inertial range"—where his scaling laws work best—to appear clearly in bubble-induced turbulence, the bubbles would need to be significantly larger. But there's a catch: in reality, bubbles of such large sizes would break apart due to their own instability.

This means there is a fundamental limit to how well the K41 theory can apply to bubbly flows. "In a way, nature prevents us from getting perfect Kolmogorov turbulence with bubbles. But under the right conditions, we now know it gets close," says Dr. Hendrik Hessenkemper, a co-author on the study who performed the experiments.

 The findings not only settle an ongoing scientific debate but could also help engineers better design bubble-based systems, from chemical reactors to wastewater treatment. 

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 

And for physicists, it adds another system—bubbly flows—to the growing list of chaotic phenomena where Kolmogorov's 1941 theory proves surprisingly robust. 

Andrey Kolmogorov: Mathematician Extraordinaire - History of Data Science

 


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