China3D printingNet July 1st, the U.S. Air Force is using Senvol’s data-driven machine learning software for additive manufacturing (AM) to use multiple lasers3D printingTechnology to produce large aerospace parts. This procedure utilizes EOS powder bed fusion (LPBF)3D printingMachines, focusing on the development of baseline mechanical properties and design allowances to optimize the production of end-use components.
“AM recently demonstrated the ability to quickly deliver complex geometries and production-quality parts, thereby enhancing the capabilities of the Department of Defense (DoD) weapon system. In this collaborative project, we are developing and demonstrating a new type of multi-laser The way AM printers produce airworthy end-use parts.” said Jessica Orr, AM and maintenance technology project manager and material engineering team leader at the University of Michigan.
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Aircraft settings” alt=”The U.S. Air Force is using Senvol’s AM software to optimize EOS for the production of aviation parts
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Machine settings” width=”620″ height=”413″ />
The U.S. Air Force is using Senvol’s AM software to optimize EOS for the production of aviation parts 3D printingMachine settings. The picture comes from Mikayla Heineck of the US Air Force.
Senvol in3D printingIn the industry
Headquartered in New York, Senvol is a software company that provides data to help companies implement additive manufacturing in their design and production processes. The software company’s data products are used by various Fortune 500 companies and government agencies in the aerospace, oil and gas, consumer products, and automotive industries.
In addition to introducing to the company3D printingIn addition to the benefits, Senvol is also a member of America Makes and ASTM International F42 committees. The company has strong partnerships with both organizations, and in 2017 worked with them to create learning tool exercises for additive manufacturing machines and material selection.
Senvol with its free3D printingThe database is well-known, the database was established in 2015, the database allows users to browse the commercial industry3D printingA complete list of machines and AM materials. This resource is updated by thousands of users, allowing it to be kept up-to-date.On the other hand, Senvol’s ML software enables customers to quickly determine specific3D printingThe best processing parameters of the machine. With its machine learning capabilities, the package is able to “learn” from previous data sets and reduce the current trial and error process, which can be expensive and time-consuming.
In recent years, the data company has reached a series of cooperation and agreements to expand its scope of services, including transactions with military applications.For example, in September 2017, Oak Ridge National Laboratory (ORNL) signed a two-year research agreement with a database company to evaluate the best data collection process and apply it3D printingQuality assessment of machine raw materials.Subsequently, in March 2018, an agreement was reached with the Office of Naval Research (ONR) of the United States Navy for3D printingPart creation data-driven machine learning computer program.
Senvol later joined the U.S. National Armed Equipment League (NAC) in July 2018, with the purpose of playing a role in the “rapid innovation” of U.S. military equipment. Moving forward, the company is seeking to further develop these military connections and use its software package to optimize EOS 3D printingMachine so that it can be used to produce parts for the U.S. Air Force.
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The aircraft will manufacture final parts for the U.S. Air Force” alt=”If the test is successful, EOS M400-4 quad lasers will be used
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The aircraft is the final use parts manufactured by the US Air Force” width=”620″ height=”349″ />
If the test is successful, EOS M400-4 quad laser will be used3D printingThe aircraft manufactures end-use parts for the U.S. Air Force. Image via EOS.
Use Senvol ML to develop multiple lasers3D printing
According to Air Force researchers, the total number of large printers used for mass production may be limited in the next 5-10 years.This may affect the Department of Defense’s use of end-use parts for the U.S. Armed Forces3D printingTechnology poses a major challenge. Therefore, the “FlexSpecs” program can be seen as the Air Force’s response to this issue, aimed at optimizing EOS 3D printingMachine to create large aerospace parts.
This collaborative project is carried out by research teams from the University of Dayton Research Institute (UDRI), Air Force Research Laboratory (AFRL) and Air Force Life Cycle Management Center (AFLCMC). Researchers are deploying Senvol’s ML software to help develop the use of EOS 3D printingCarry out process optimization and characterization plan from time to time, and analyze all project data.
Using the information collected during the test, the software will evaluate laser-to-laser consistency, optimize batch scan settings, determine the preferred overlap patterns and parameters, and confirm the uniformity of the entire substrate. Senvol President Annie Wang said: “We are very happy to collaborate with UDRI, AFRL and AFLCMC on this project. Our machine learning software Senvol ML is very suitable for assisting AM certification, which is a good example.”
if3D printingThe aircraft successfully passed the preliminary test, and the US Air Force will use the EOS M400-4 four-laser system to construct a demonstration version of the heat exchanger and supersonic-related components. Dr. Mark Benedict, AFRL materials scientist and project manager, said: “The overall goal of the project is to successfully demonstrate the full-scale M400, multi-laser printing of heat exchangers, and supersonic-related components. This is an area that the Air Force needs, and we look forward to the results. .”
American AFRL and additive manufacturing
AFRL has established numerous partnerships in recent years to develop potential military applications3D printingTechnology.For example, in August 2019, it partnered with Boeing and Indiana-based machinery manufacturer Thermwood to produce low-cost responsive molds through additive manufacturing.The partners used Thermwood’s large-scale additive manufacturing (LSAM) machines for aerospace components3D printingAutoclave tools were used.
AFRL collaborated with researchers from the University of Arkansas, University of Miami, Louisiana Tech University, and University of Texas at El Paso to jointly develop a 3D printable epoxy/carbon fiber composite in March 2019.These materials are intended to be used in the production of aerospace vehicles3D printingStructural parts.
AFRL awarded $8.2 million in funding to California-based JASR Systems in March 2019. The grant is used to develop a chip-sized optical phased array and LiDAR scanning system.
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