SpaceX is planning to use a giant net — one so immense that it takes up the majority of a high-speed watercraft named Mr. Steven — to catch reusable gear that falls back to Earth after missions to outer space.
If the huge net successfully catches the SpaceX gear, it could save the company about $5 million per launch, according to Space.com, a Live Science sister site. [6 Ways Entrepreneur Elon Musk Is Changing the World]
"It's like a giant catcher's mitt, in boat form," SpaceX CEO Elon Musk told reporters after the Falcon Heavy launch on Feb. 6, Space.com reported.
In particular, the giant net is designed to catch the payload fairings, also known as the nose-cone halves. During the Feb. 6 mission, the payload fairings held the now-famous midnight-cherry Tesla Roadster and its driver, a mannequin known as Starman.
SpaceX has saved one of its payload fairings before: In March 2017, the company launched a previously used Falcon 9 rocket to carry a payload — a communications satellite designed to provide TV, internet and other services to people in Latin America. After that launch, the payload fairings used an onboard thruster system and a parachute to safely land in the Atlantic Ocean, Space.com reported.
However, the new net aboard Mr. Steven will make will make it easier for the payload fairing to be retrieved, according to TechCrunch.
According to SeaTran, the company that owns Mr. Steven, the vessel is 205 feet (62 meters) long, can travel up to 32 knots (36.8 mph, or about 59 km/h) and has a deck measuring 136 feet by 27 feet (41 by 8 m). It's not clear why the 2015 watercraft is named Mr. Steven (SeaTran didn't immediately respond to a request for comment), but other vessels in the company's fleet have similar names, including Lady Eve, Mr. Mason, Miss Claire and, amusingly, Greater Scott.
The next SpaceX Falcon 9 mission is scheduled for Wednesday (Feb. 21). The payload fairing from that mission will have geotagged parachutes that will guide it to the Pacific Ocean, where Mr. Steven will attempt to catch it, according to TechCrunch.
Original article on Live Science.