Infrared Time Lapse of World’s Largest 3D-Printed Object
Abstract
Researchers at Oak Ridge National Laboratory have 3D-printed a large-scale trim tool for a Boeing 777X, the world’s largest twin-engine jet airliner. The additively manufactured tool was printed on the Big Area Additive Manufacturing, or BAAM machine over a 30-hour period. The team used a thermoplastic pellet comprised of 80% ABS plastic and 20% carbon fiber from local material supplier. The tool has proven to decrease time, labor, cost and errors associated with traditional manufacturing techniques and increased energy savings in preliminary testing and will undergo further, long term testing.
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1311760
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; ORNL; 3D PRINTED; BIG AREA ADDITIVE MANUFACTURING; BAAM; BOEING 777X; INFRARED IMAGING
Citation Formats
. Infrared Time Lapse of World’s Largest 3D-Printed Object. United States: N. p., 2016.
Web.
. Infrared Time Lapse of World’s Largest 3D-Printed Object. United States.
. Mon .
"Infrared Time Lapse of World’s Largest 3D-Printed Object". United States. https://www.osti.gov/servlets/purl/1311760.
@article{osti_1311760,
title = {Infrared Time Lapse of World’s Largest 3D-Printed Object},
author = {},
abstractNote = {Researchers at Oak Ridge National Laboratory have 3D-printed a large-scale trim tool for a Boeing 777X, the world’s largest twin-engine jet airliner. The additively manufactured tool was printed on the Big Area Additive Manufacturing, or BAAM machine over a 30-hour period. The team used a thermoplastic pellet comprised of 80% ABS plastic and 20% carbon fiber from local material supplier. The tool has proven to decrease time, labor, cost and errors associated with traditional manufacturing techniques and increased energy savings in preliminary testing and will undergo further, long term testing.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {8}
}