10 mars 2020 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité
By: Chiara Vercellone
WASHINGTON — The United States was the largest exporter of major arms from 2015-2019, delivering 76 percent more materiel than runner-up Russia, according to a new study by the Stockholm International Peace Research Institute think tank.
The U.S. contributed about 35 percent of all the world's arms exports during that five-year time period, partly supported by the increased demand for American advanced military aircraft in Europe, Australia, Japan and Taiwan, said Pieter Wezeman, a senior researcher at SIPRI.
The study found that the U.S. provided major arms — defined by the think tank as air defense systems, armored vehicles, missiles and satellites, among other materiel — to 96 countries in those five years, with half of the weapons going to the Middle East.
From 2015-2019, Russia's major arms exports decreased by 18 percent; France's increased by 72 percent, making it the third largest exporter; and Germany's increased by 17 percent, making it the fourth largest exporter.
Worldwide arms exports rose nearly 6 percent in 2015-2019 from 2010-2014, and increased 20 percent from since 2005-2009, SIPRI said.
Arm exports to countries in conflict in the Middle East increased by 61 percent in 2015-2019 compared to 2010-2014, the study showed. Saudi Arabia, the country to which the U.S. exported the most arms, was the largest importer globally in 2015-2019. The kingdom's imports increased 130 percent compared to the previous five-year period. Armored vehicles, trainer aircraft, missiles and guided bombs were among the leading arms purchased by the kingdom.
Despite attempts in Congress to restrict arms exports to Saudi Arabia, the delivery of major arms, including 30 combat aircraft ordered in 2011, continued in 2019 as the U.S. provided 73% of Saudi Arabia's imports.
In May, U.S. President Donald Trump issued an emergency declaration to push through an $8 billion arms deal with Saudi Arabia and other Middle Eastern countries for precision-guided bombs and related components. In July, he said blocking the sale of arms to Saudi Arabia would “weaken America's global competitiveness and damage the important relationship [the United States] share with [its] allies and partners.”
U.S. arms exports to Europe and Africa increased by 45 percent and 10 percent, respectively, in 2015-2019. U.S. arms exports to Asia and the Oceania region decreased by 20 percent, as a result of fewer arms exports to India, Pakistan, Singapore, South Korea and Taiwan.
Since 2018, the U.S. has exported almost 100 major weapons to international organizations like the United Nations, the African Union and NATO, the report said, noting that Russia did not send weapons to these organizations.
Among the top 10 arms exporters outside Europe and North America, Israel and South Korea showed the biggest increase in exports. Israeli arms exports increased by 77 percent in 2015-2019 — a record for the country, according to the study. South Korea, which showed a 143 percent increase during that same time period, more than doubled its number of export clients.
15 novembre 2022 | International, Autre défense
European Union defence ministers paved the way on Tuesday for Britain to join an EU project aimed at facilitating the swift movement of troops and military equipment across Europe, as war rages in Ukraine for a ninth month.
14 janvier 2022 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité
As the aerospace industry learns to live with COVID, it faces other big challenges from a stressed supply chain to geopolitical disruptions. Listen in as our editors discuss.
16 octobre 2018 | International, Naval
By: Daniel Cebul WASHINGTON — The Office of Naval Research awarded Lockheed Martin Oct. 1 a two-year, $5.8 million contract to explore how machine learning and artificial intelligence can make complex 3-D printing more reliable and save hours of tedious post-production inspections. In today's factories, 3-D printing parts requires persistent monitoring by specialists to ensure intricate parts are produced without impurities and imperfections that can compromise the integrity of the part overall. To improve this laborious process, the Navy is tasking Lockheed Martin with developing multi-axis robots that use lasers to deposit material and oversee the printing of parts. Lockheed Martin has multiple partners on the contract including Carnegie Mellon University, Iowa State University, Colorado School of Mines, America Makes, GKN and Wolf Robotics and Oak Ridge National Laboratory. The contract covers what Glynn Adams, a senior engineer with Lockheed Martin, describes as the pre-flight model of the program's development. Initial work will focus on developing computer models that can predict the microstructures and mechanical properties of 3-D printed materials to generate simulation data to train with. Adams said the Carnegie Mellon team will look at variables such as, “the spot size of the laser beam, the rate of feed of the titanium wire [and]the total amount energy density input into the material while it is being manufactured.” This information helps the team predict the microstructure, or organizational structure of a material on a very small scale, that influences the physical properties of the additive manufactured part. This data will then be shared with Iowa State, who will plug the information into a model that predicts the mechanical properties of the printed component. By taking temperature and spot size measurements, the team can also ensure they are, “accurately controlling energy density, the power of both the laser and the hot wire that goes into the process,” Adams said.. “All of that is happening before you actually try to do any kind of machine learning or artificial neural networks with the robot itself. That's just to try to train the models to the point where we have confidence in the models,” Adams said. Sounds easy, right? But one key problem could come in cleaning up the data and removing excess noise from the measurements. “Thermal measurements are pretty easy and not data intensive, but when you start looking at optical measurements you can collect just an enormous amount of data that is difficult to manage,” Adams explained. Lockheed Martin wants to learn how shrink the size of that dataset without sacrificing key parameters. The Colorado School of Mines and America Makes will tackle the problem of compressing and manipulating this data to extract the key information needed to train the algorithms. After this work has been completed, the algorithms then will be sent to Oak Ridge National Laboratory, where robots will begin producing 3-D titanium parts and learn how to reliably construct geometrically and structurally sound parts. This portion of the program will confront challenges from the additive manufacturing and AI components of the project. On the additive manufacturing side, the team will work with new manufacturing process, “trying to understand exactly what the primary, secondary and tertiary interactions are between all those different process parameters,” Adams said. “If you think about it, as you are building the part depending on the geometric complexity, now those interactions change based on the path the robot has to take to manufacture that part. One of the biggest challenges is going to be to understand exactly which of those parameters are the primary, which are the tertiary and to what level of control we need to be able to manipulate or control those process parameters in order to generate the confidence in the parts that we want.” At the same time, researchers also will tackle AI machine learning challenges. Like with other AI programs, it's crucial the algorithm is learning the right information, the right way. The models will give the algorithms a good starting point, but Adams said this will be an iterative process that depends on the algorithm's ability to self-correct. “At some point, there are some inaccuracies that could come into that model,” Adams explained. “So now, the system itself has to understand it may be getting into a regime that is not going to produce the mechanical properties or microstructures that you want, and be able to self-correct to make certain that instead of going into that regime it goes into a regime that produces the geometric part that you want.” With a complete algorithm that can be trusted to produce structurally sound 3-D printed parts, time-consuming post-production inspections will become a thing of the past. Instead of nondestructive inspections and evaluations, if you “have enough control on the process, enough in situ measurements, enough models to show that that process and the robot performed exactly as you thought it would, and produced a part that you know what its capabilities are going to be, you can immediately deploy that part,” said Adams. “That's the end game, that's what we're trying to get to, is to build the quality into the part instead of inspecting it in afterwards." Confidence in 3-D printed parts could have dramatic consequences for soldiers are across the services. As opposed to waiting for replacement parts, service members could readily search a database of components, find the part they need and have a replacement they can trust in hours rather than days or weeks. “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.” https://www.c4isrnet.com/industry/2018/10/15/how-the-office-of-naval-research-hopes-to-revolutionize-manufacturing