Manufacturing control systems and logic for prognosis of defects in composite materials
Abstract
Presented are manufacturing control systems for composite-material structures, methods for assembling/operating such systems, and transfer molding techniques for predicting and ameliorating void conditions in fiber-reinforced polymer panels. A method for forming a composite-material construction includes receiving a start signal indicating a fiber-based preform is inside a mold cavity, and transmitting a command signal to inject pressurized resin into the mold to induce resin flow within the mold cavity and impregnate the fiber-based preform. An electronic controller receives, from a distributed array of sensors attached to the mold, signals indicative of pressure and/or temperature at discrete locations on an interior face of the mold cavity. The controller determines a measurement deviation between a calibrated baseline value and the pressure and/or temperature values for each of the discrete locations. If any one of the respective measurement deviations exceeds a calibrated threshold, a void signal is generated to flag a detected void condition.
- Inventors:
- Issue Date:
- Research Org.:
- GM Global Technology Operations LLC, Detroit, MI (United States); Univ. of Southern California, Los Angeles, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1735036
- Patent Number(s):
- 10717244
- Application Number:
- 15/899,412
- Assignee:
- GM Global Technology Operations LLC (Detroit, MI); University of Southern California (Los Angeles, CA)
- Patent Classifications (CPCs):
-
B - PERFORMING OPERATIONS B29 - WORKING OF PLASTICS B29C - SHAPING OR JOINING OF PLASTICS
C - CHEMISTRY C08 - ORGANIC MACROMOLECULAR COMPOUNDS C08G - MACROMOLECULAR COMPOUNDS OBTAINED OTHERWISE THAN BY REACTIONS ONLY INVOLVING UNSATURATED CARBON-TO-CARBON BONDS
- DOE Contract Number:
- EE0006826
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 02/20/2018
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 42 ENGINEERING
Citation Formats
Ghanem, Roger G., Aitharaju, Venkateshwar R., and Kia, Hamid G. Manufacturing control systems and logic for prognosis of defects in composite materials. United States: N. p., 2020.
Web.
Ghanem, Roger G., Aitharaju, Venkateshwar R., & Kia, Hamid G. Manufacturing control systems and logic for prognosis of defects in composite materials. United States.
Ghanem, Roger G., Aitharaju, Venkateshwar R., and Kia, Hamid G. Tue .
"Manufacturing control systems and logic for prognosis of defects in composite materials". United States. https://www.osti.gov/servlets/purl/1735036.
@article{osti_1735036,
title = {Manufacturing control systems and logic for prognosis of defects in composite materials},
author = {Ghanem, Roger G. and Aitharaju, Venkateshwar R. and Kia, Hamid G.},
abstractNote = {Presented are manufacturing control systems for composite-material structures, methods for assembling/operating such systems, and transfer molding techniques for predicting and ameliorating void conditions in fiber-reinforced polymer panels. A method for forming a composite-material construction includes receiving a start signal indicating a fiber-based preform is inside a mold cavity, and transmitting a command signal to inject pressurized resin into the mold to induce resin flow within the mold cavity and impregnate the fiber-based preform. An electronic controller receives, from a distributed array of sensors attached to the mold, signals indicative of pressure and/or temperature at discrete locations on an interior face of the mold cavity. The controller determines a measurement deviation between a calibrated baseline value and the pressure and/or temperature values for each of the discrete locations. If any one of the respective measurement deviations exceeds a calibrated threshold, a void signal is generated to flag a detected void condition.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 21 00:00:00 EDT 2020},
month = {Tue Jul 21 00:00:00 EDT 2020}
}
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