NASA-Supported Space Tech Advances Earthly Construction

An innovative 3D printing process that advanced NASA’s approach to outfitting a lunar habitat is making buildings on Earth beautiful, efficient, and strong. Instead of building structures layer by layer, Branch Technology Inc. The institutional report frames the development in practical terms and ties it to the broader mission or observing effort.

The significance lies in Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. 3 min read Preparations for Next Moonwalk Simulations Underway (and Underwater) Branch’s work outfitting a prototype of a lunar surface habitat they developed, pictured here. Read More Share Details Last Updated May 13.

An innovative 3D printing process that advanced NASA’s approach to outfitting a lunar habitat is making buildings on Earth beautiful, efficient, and Article Branch’s work. Of Chattanooga, Tennessee, has developed a process the company calls Freeform 3D Printing, which creates shapes with lightweight lattice structures that can be filled or covered.

Our process eliminates a ton of material from something that otherwise might be printed solid all the way through,” said David Goodloe, who leads Branch Technology’s Advanced. In 2017, the company won Phase II of NASA’s 3D-Printed Habitat Challenge, a public competition to build a habitat for deep space exploration.

Tracie Prater, a technical manager in the Habitat Systems Development Branch at NASA’s Marshall Spaceflight Center in Huntsville, Alabama, served as a subject matter expert for. With the 3D-Printed Habitat Challenge, teams were focused on how to build a large habitat structure on a planetary surface,” said Prater.

The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.

The polymers Branch extrudes were informed by its materials science research for the 3D-Printed Habitat Challenge, which asked that print material be made of something like the. Branch came up with a basalt fiber-reinforced plastic and from that work went on to develop an optimal loading recipe for its terrestrial “inks.

Because the account originates with NASA News Releases, it functions best as a primary institutional report that is close to the data and operations, not as independent scientific validation. Institutional communications are produced by organizations with legitimate interests in presenting their work in a favorable light, which does not make them unreliable but does make them partial. Details that complicate the narrative, including instrument limitations, unexpected failures and results below projections, tend to be minimized relative to progress messages. Technical documentation and peer-reviewed publications, where they exist, provide the complementary layer that institutional releases cannot substitute.

The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.

Source