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By NASA
A method for evaluating thermophysical properties of metal alloys
Simulation of the solidification of metal alloys, a key step in certain industrial processes, requires reliable data on their thermophysical properties such as surface tension and viscosity. Researchers propose comparing predictive models with experimental outcomes as a method to assess these data.
Scientists use data on surface tension and viscosity of titanium-based alloys in industrial processes such as casting and crystal growth. Non-Equilibrium Solidification, Modelling for Microstructure Engineering of Industrial Alloys, an ESA (European Space Agency) investigation, examined the microstructure and growth of these alloys using the station’s Electromagnetic Levitator. This facility eliminates the need for containers, which can interfere with experiment results.
European Space Agency (ESA) astronaut Alexander Gerst is shown in the Columbus module of the International Space Station during the installation of the Electromagnetic Levitator.ESA/Alexander Gerst Overview of techniques for measuring thermal diffusion
Researchers present techniques for measuring thermal diffusion of molecules in a mixture. Thermal diffusion is measured using the Soret coefficient – the ratio of movement caused by temperature differences to overall movement within the system. This has applications in mineralogy and geophysics such as predicting the location of natural resources beneath Earth’s surface.
A series of ESA investigations studied diffusion, or how heat and particles move through liquids, in microgravity. Selectable Optical Diagnostics Instrument-Influence of VIbrations on DIffusion of Liquids examined how vibrations affect diffusion in mixtures with two components and SODI-DCMIX measured more-complex diffusion in mixtures of three or more components. Understanding and predicting the effects of thermal diffusion has applications in various industries such as modeling of underground oil reservoirs.
NASA astronaut Kate Rubins works on Selectable Optical Diagnostics Instrument Experiment Diffusion Coefficient Mixture-3 (SODI) DCMix-3 installation inside the station’s Microgravity Science Glovebox.JAXA (Japan Aerospace Exploration Agency)/Takuya Onishi Research validates ferrofluid technology
Researchers validated the concept of using ferrofluid technology to operate a thermal control switch in a spacecraft. This outcome could support development of more reliable and long-lasting spacecraft thermal management systems, increasing mission lifespan and improving crew safety.
Überflieger 2: Ferrofluid Application Research Goes Orbital analyzed the performance of ferrofluids, a technology that manipulates components such as rotors and switches using magnetized liquids and a magnetic field rather than mechanical systems, which are prone to wear and tear. This technology could lower the cost of materials for thermal management systems, reduce the need for maintenance and repair, and help avoid equipment failure. The paper discusses possible improvements to the thermal switch, including optimizing the geometry to better manage heat flow.
A view of the Ferrofluid Application Research Goes Orbital investigation hardware aboard the International Space Station. UAE (United Arab Emirates)/Sultan AlneyadiView the full article
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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Regolith Adherence Characterization, or RAC, is one of 10 science and technology instruments flying on NASA’s next Commercial Lunar Payload Services (CLPS) flight as part of the Blue Ghost Misison-1. Developed by Aegis Aerospace of Webster, Texas, RAC is designed to study how lunar dust reacts to more than a dozen different types of material samples, located on the payload’s wheels. Photo courtesy Firefly Aerospace The Moon may look like barren rock, but it’s actually covered in a layer of gravel, pebbles, and dust collectively known as “lunar regolith.” During the Apollo Moon missions, astronauts learned firsthand that the fine, powdery dust – electromagnetically charged due to constant bombardment by solar and cosmic particles – is extremely abrasive and clings to everything: gloves, boots, vehicles, and mechanical equipment. What challenges does that dust pose to future Artemis-era missions to establish long-term outposts on the lunar surface?
That’s the task of an innovative science instrument called RAC-1 (Regolith Adherence Characterization), one of 10 NASA payloads flying aboard the next delivery for the agency’s CLPS (Commercial Lunar Payload Services) initiative and set to be carried to the surface by Firefly Aerospace’s Blue Ghost 1 lunar lander.
Developed by Aegis Aerospace of Webster, Texas, RAC will expose 15 sample materials – fabrics, paint coatings, optical systems, sensors, solar cells, and more – to the lunar environment to determine how tenaciously the lunar dust sticks to each one. The instrument will measure accumulation rates during landing and subsequent routine lander operations, aiding identification of those materials which best repel or shed dust. The data will help NASA and its industry partners more effectively test, upgrade, and protect spacecraft, spacesuits, habitats, and equipment in preparation for continued exploration of the Moon under the Artemis campaign.
“Lunar regolith is a sticky challenge for long-duration expeditions to the surface,” said Dennis Harris, who manages the RAC payload for NASA’s CLPS initiative at the agency’s Marshall Space Flight Center in Huntsville, Alabama. “Dust gets into gears, sticks to spacesuits, and can block optical properties. RAC will help determine the best materials and fabrics with which to build, delivering more robust, durable hardware, products, and equipment.”
Under the CLPS model, NASA is investing in commercial delivery services to the Moon to enable industry growth and support long-term lunar exploration. As a primary customer for CLPS deliveries, NASA aims to be one of many customers on future flights. NASA’s Marshall Space Flight Center in Huntsville, Alabama, manages the development of seven of the 10 CLPS payloads carried on Firefly’s Blue Ghost lunar lander.
Learn more about. CLPS and Artemis at:
https://www.nasa.gov/clps
Alise Fisher
Headquarters, Washington
202-358-2546
Alise.m.fisher@nasa.gov
Headquarters, Washington
202-358-2546
Alise.m.fisher@nasa.gov
Corinne Beckinger
Marshall Space Flight Center, Huntsville, Ala.
256-544-0034
corinne.m.beckinger@nasa.gov
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Last Updated Dec 20, 2024 EditorBeth RidgewayContactCorinne M. Beckingercorinne.m.beckinger@nasa.govLocationMarshall Space Flight Center Related Terms
Commercial Lunar Payload Services (CLPS) Artemis Marshall Space Flight Center Explore More
3 min read NASA Payload Aims to Probe Moon’s Depths to Study Heat Flow
Article 2 days ago 4 min read NASA Technology Helps Guard Against Lunar Dust
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By NASA
Download PDF: Statistical Analysis Using Random Forest Algorithm Provides Key Insights into Parachute Energy Modulator System
Energy modulators (EM), also known as energy absorbers, are safety-critical components that are used to control shocks and impulses in a load path. EMs are textile devices typically manufactured out of nylon, Kevlar® and other materials, and control loads by breaking rows of stitches that bind a strong base webbing together as shown in Figure 1. A familiar EM application is a fall-protection harness used by workers to prevent injury from shock loads when the harness arrests a fall. EMs are also widely used in parachute systems to control shock loads experienced during the various stages of parachute system deployment.
Random forest is an innovative algorithm for data classification used in statistics and machine learning. It is an easy to use and highly flexible ensemble learning method. The random forest algorithm is capable of modeling both categorical and continuous data and can handle large datasets, making it applicable in many situations. It also makes it easy to evaluate the relative importance of variables and maintains accuracy even when a dataset has missing values.
Random forests model the relationship between a response variable and a set of predictor or independent variables by creating a collection of decision trees. Each decision tree is built from a random sample of the data. The individual trees are then combined through methods such as averaging or voting to determine the final prediction (Figure 2). A decision tree is a non-parametric supervised learning algorithm that partitions the data using a series of branching binary decisions. Decision trees inherently identify key features of the data and provide a ranking of the contribution of each feature based on when it becomes relevant. This capability can be used to determine the relative importance of the input variables (Figure 3). Decision trees are useful for exploring relationships but can have poor accuracy unless they are combined into random forests or other tree-based models.
The performance of a random forest can be evaluated using out-of-bag error and cross-validation techniques. Random forests often use random sampling with replacement from the original dataset to create each decision tree. This is also known as bootstrap sampling and forms a bootstrap forest. The data included in the bootstrap sample are referred to as in-the-bag, while the data not selected are out-of-bag. Since the out-of-bag data were not used to generate the decision tree, they can be used as an internal measure of the accuracy of the model. Cross-validation can be used to assess how well the results of a random forest model will generalize to an independent dataset. In this approach, the data are split into a training dataset used to generate the decision trees and build the model and a validation dataset used to evaluate the model’s performance. Evaluating the model on the independent validation dataset provides an estimate of how accurately the model will perform in practice and helps avoid problems such as overfitting or sampling bias. A good model performs well on
both the training data and the validation data.
The complex nature of the EM system made it difficult for the team to identify how various parameters influenced EM behavior. A bootstrap forest analysis was applied to the test dataset and was able to identify five key variables associated with higher probability of damage and/or anomalous behavior. The identified key variables provided a basis for further testing and redesign of the EM system. These results also provided essential insight to the investigation and aided in development of flight rationale for future use cases.
For information, contact Dr. Sara R. Wilson. sara.r.wilson@nasa.gov
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By NASA
A rendering of Firefly’s Blue Ghost lunar lander and a rover developed for the company’s third mission to the Moon as part of NASA’s CLPS (Commercial Lunar Payload Services) initiative.Credit: Firefly Aerospace NASA continues to advance its campaign to explore more of the Moon than ever before, awarding Firefly Aerospace $179 million to deliver six experiments to the lunar surface. This fourth task order for Firefly will target landing in the Gruithuisen Domes on the near side of the Moon in 2028.
As part of the agency’s broader Artemis campaign, Firefly will deliver a group of science experiments and technology demonstrations under NASA’s CLPS initiative, or Commercial Lunar Payload Services, to these lunar domes, an area of ancient lava flows, to better understand planetary processes and evolution. Through CLPS, NASA is furthering our understanding of the Moon’s environment and helping prepare for future human missions to the lunar surface, as part of the agency’s Moon to Mars exploration approach.
“The CLPS initiative carries out U.S. scientific and technical studies on the surface of the Moon by robot explorers. As NASA prepares for future human exploration of the Moon, the CLPS initiative continues to support a growing lunar economy with American companies,” said Joel Kearns, deputy associate administrator for exploration, Science Mission Directorate, NASA Headquarters in Washington. “Understanding the formation of the Gruithuisen Domes, as well as the ancient lava flows surrounding the landing site, will help the U.S. answer important questions about the lunar surface.”
Firefly’s first lunar delivery is scheduled to launch no earlier than mid-January 2025 and will land near a volcanic feature called Mons Latreille within Mare Crisium, on the northeast quadrant of the Moon’s near side. Firefly’s second lunar mission includes two task orders: a lunar orbit drop-off of a satellite combined with a delivery to the lunar surface on the far side and a delivery of a lunar orbital calibration source, scheduled in 2026.
This new delivery in 2028 will send payloads to the Gruithuisen Domes and the nearby Sinus Viscositatus. The Gruithuisen Domes have long been suspected to be formed by a magma rich in silica, similar in composition to granite. Granitic rocks form easily on Earth due to plate tectonics and oceans of water. The Moon lacks these key ingredients, so lunar scientists have been left to wonder how these domes formed and evolved over time. For the first time, as part of this task order, NASA also has contracted to provide “mobility,” or roving, for some of the scientific instruments on the lunar surface after landing. This will enable new types of U.S. scientific investigations from CLPS.
“Firefly will deliver six instruments to understand the landing site and surrounding vicinity,” said Chris Culbert, manager of the CLPS initiative at NASA’s Johnson Space Center in Houston. “These instruments will study geologic processes and lunar regolith, test solar cells, and characterize the neutron radiation environment, supplying invaluable information as NASA works to establish a long-term presence on the Moon.”
The instruments, collectively expected to be about 215 pounds (97 kilograms) in mass, include:
Lunar Vulkan Imaging and Spectroscopy Explorer, which consists of two stationary and three mobile instruments, will study rocks and regoliths on the summit of one of the domes to determine their origin and better understand geologic processes of early planetary bodies. The principal investigator is Dr. Kerri Donaldson Hanna of the University of Central Florida, Orlando. Heimdall is a flexible camera system that will be used to take pictures of the landing site from above the horizon to the ground directly below the lander. The principal investigator is Dr. R. Aileen Yingst of the Planetary Science Institute, Tucson, Arizona. Sample Acquisition, Morphology Filtering, and Probing of Lunar Regolith is a robotic arm that will collect samples of lunar regolith and use a robotic scoop to filter and isolate particles of different sizes. The sampling technology will use a flight spare from the Mars Exploration Rover project. The principal investigator is Sean Dougherty of Maxar Technologies, Westminster, Colorado. Low-frequency Radio Observations from the Near Side Lunar Surface is designed to observe the Moon’s surface environment in radio frequencies, to determine whether natural and human-generated activity near the surface interferes with science. The project is headed up by Natchimuthuk Gopalswamy of NASA’s Goddard Space Flight Center in Greenbelt, Maryland. Photovoltaic Investigation on the Lunar Surface will carry a set of the latest solar cells for a technology demonstration of light-to-electricity power conversion for future missions. The experiment will also collect data on the electrical charging environment of the lunar surface using a small array of solar cells. The principal investigator is Jeremiah McNatt from NASA’s Glenn Research Center in Cleveland. Neutron Measurements at the Lunar Surface is a neutron spectrometer that will characterize the surface neutron radiation environment, monitor hydrogen, and provide constraints on elemental composition. The principal investigator is Dr. Heidi Haviland of NASA’s Marshall Spaceflight Center in Huntsville, Alabama. Through the CLPS initiative, NASA purchases lunar landing and surface operations services from American companies. The agency uses CLPS to send scientific instruments and technology demonstrations to advance capabilities for science, exploration, or commercial development of the Moon. By supporting a robust cadence of lunar deliveries, NASA will continue to enable a growing lunar economy while leveraging the entrepreneurial innovation of the commercial space industry. Two upcoming CLPS flights scheduled to launch in early 2025 will deliver NASA payloads to the Moon’s near side and south polar region, respectively.
Learn more about CLPS and Artemis at:
https://www.nasa.gov/clps
-end-
Alise Fisher
Headquarters, Washington
202-358-2546
alise.m.fisher@nasa.gov
Natalia Riusech / Nilufar Ramji
Johnson Space Center, Houston
281-483-5111
natalia.s.riusech@nasa.gov / nilufar.ramji@nasa.gov
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Last Updated Dec 18, 2024 LocationNASA Headquarters Related Terms
Commercial Lunar Payload Services (CLPS) Artemis View the full article
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By NASA
4 Min Read NASA Finds ‘Sideways’ Black Hole Using Legacy Data, New Techniques
Image showing the structure of galaxy NGC 5084, with data from the Chandra X-ray Observatory overlaid on a visible-light image of the galaxy. Chandra’s data, shown in purple, revealed four plumes of hot gas emanating from a supermassive black hole rotating “tipped over” at the galaxy’s core. Credits: X-ray: NASA/CXC, A. S. Borlaff, P. Marcum et al.; Optical full image: M. Pugh, B. Diaz; Image Processing: NASA/USRA/L. Proudfit NASA researchers have discovered a perplexing case of a black hole that appears to be “tipped over,” rotating in an unexpected direction relative to the galaxy surrounding it. That galaxy, called NGC 5084, has been known for years, but the sideways secret of its central black hole lay hidden in old data archives. The discovery was made possible by new image analysis techniques developed at NASA’s Ames Research Center in California’s Silicon Valley to take a fresh look at archival data from the agency’s Chandra X-ray Observatory.
Using the new methods, astronomers at Ames unexpectedly found four long plumes of plasma – hot, charged gas – emanating from NGC 5084. One pair of plumes extends above and below the plane of the galaxy. A surprising second pair, forming an “X” shape with the first, lies in the galaxy plane itself. Hot gas plumes are not often spotted in galaxies, and typically only one or two are present.
The method revealing such unexpected characteristics for galaxy NGC 5084 was developed by Ames research scientist Alejandro Serrano Borlaff and colleagues to detect low-brightness X-ray emissions in data from the world’s most powerful X-ray telescope. What they saw in the Chandra data seemed so strange that they immediately looked to confirm it, digging into the data archives of other telescopes and requesting new observations from two powerful ground-based observatories.
Hubble Space Telescope image of galaxy NGC 5084’s core. A dark, vertical line near the center shows the curve of a dusty disk orbiting the core, whose presence suggests a supermassive black hole within. The disk and black hole share the same orientation, fully tipped over from the horizontal orientation of the galaxy.NASA/STScI, M. A. Malkan, B. Boizelle, A.S. Borlaff. HST WFPC2, WFC3/IR/UVIS. The surprising second set of plumes was a strong clue this galaxy housed a supermassive black hole, but there could have been other explanations. Archived data from NASA’s Hubble Space Telescope and the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile then revealed another quirk of NGC 5084: a small, dusty, inner disk turning about the center of the galaxy. This, too, suggested the presence of a black hole there, and, surprisingly, it rotates at a 90-degree angle to the rotation of the galaxy overall; the disk and black hole are, in a sense, lying on their sides.
The follow-up analyses of NGC 5084 allowed the researchers to examine the same galaxy using a broad swath of the electromagnetic spectrum – from visible light, seen by Hubble, to longer wavelengths observed by ALMA and the Expanded Very Large Array of the National Radio Astronomy Observatory near Socorro, New Mexico.
“It was like seeing a crime scene with multiple types of light,” said Borlaff, who is also the first author on the paper reporting the discovery. “Putting all the pictures together revealed that NGC 5084 has changed a lot in its recent past.”
It was like seeing a crime scene with multiple types of light.
Alejandro Serrano Borlaff
NASA Research Scientist
“Detecting two pairs of X-ray plumes in one galaxy is exceptional,” added Pamela Marcum, an astrophysicist at Ames and co-author on the discovery. “The combination of their unusual, cross-shaped structure and the ‘tipped-over,’ dusty disk gives us unique insights into this galaxy’s history.”
Typically, astronomers expect the X-ray energy emitted from large galaxies to be distributed evenly in a generally sphere-like shape. When it’s not, such as when concentrated into a set of X-ray plumes, they know a major event has, at some point, disturbed the galaxy.
Possible dramatic moments in its history that could explain NGC 5084’s toppled black hole and double set of plumes include a collision with another galaxy and the formation of a chimney of superheated gas breaking out of the top and bottom of the galactic plane.
More studies will be needed to determine what event or events led to the current strange structure of this galaxy. But it is already clear that the never-before-seen architecture of NGC 5084 was only discovered thanks to archival data – some almost three decades old – combined with novel analysis techniques.
The paper presenting this research was published Dec. 18 in The Astrophysical Journal. The image analysis method developed by the team – called Selective Amplification of Ultra Noisy Astronomical Signal, or SAUNAS – was described in The Astrophysical Journal in May 2024.
For news media:
Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
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Last Updated Dec 18, 2024 Related Terms
Black Holes Ames Research Center Ames Research Center's Science Directorate Astrophysics Chandra X-Ray Observatory Galaxies Galaxies, Stars, & Black Holes Galaxies, Stars, & Black Holes Research General Hubble Space Telescope Marshall Astrophysics Marshall Science Research & Projects Marshall Space Flight Center Missions NASA Centers & Facilities Science & Research Supermassive Black Holes The Universe Explore More
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