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Relativity, the California startup in pursuit of the world’s first entirely-3D printed rocket, has made two advances in terms of IP and personnel.
In a patent published November 29 2018, the company has been granted the rites to a method of adaptive control for its large-scale Stargate metal 3D printer.
Addition - Relativity - Executives - Space - Exploration
In addition, Relativity has recently hired three former executives of competing private space exploration companies SpaceX, Blue Origin, Virgin Orbit and Aerojet Rocektdyne.
“Our progress towards launching the first 3D printed rocket is fueled by a deeply experienced team that has built and scaled other space companies,” comments Tim Ellis, Relativity’s CEO.
THESE - EXECUTIVE - APPOINTMENTS - COMBINED - WITH
“[…] THESE EXECUTIVE APPOINTMENTS, COMBINED WITH OUR RECENT PATENT GRANT, ARE GREAT INDICATORS OF RELATIVITY’S MARKET MOMENTUM.”
Relativity’s first rocket is named the Terran. Powered by the liquid-oxygen (LOx) methane engine AEON 1 this vehicle, when complete, will be capable of transporting a payload of up to 1,250 kg to a low Earth orbit of 185 km. To high altitude, 1200 km/sun synchronous orbit, the rocket will be able to carry up to 700 kg.
AEON - Engine - Test - Firings - Components
The AEON 1 engine, which has already undergone over 100 test firings is composed of 100 components, a fraction of the number of parts for a typically produced engine; This part, as with a full 95% of the current Terran rocket, is built on the Stargate 3D printer.
Operated by robotic arms, the Stargate has an entirely salable build volume. One of the largest parts it has built so far is a fuel tank measuring 7 feet wide and 14 feet tall.
Output - Rate - Stargate - Relativity - Print
Relative to the output rate of the Stargate, Relativity estimates that it can 3D print an entire Terran rocket in under 60 days.
The Relativity Space Aeon Engine. Photo via Relativity Space.
Relativity - Machine - Learning - Patent
Relativity’s machine learning patent
The most recent patent award to Relativity is for a machine learning process capable of...
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