Abstract:
In one version there is provided a test system including a layup tool having a layup surface, and two fairing bars attached to the layup surface. The test system includes the composite laminate having a plurality of stacked plies, and positioned between the two fairing bars. The test system includes fiber distortion initiator(s) positioned at one or more locations under, and adjacent to, one or more plies of the plurality of stacked plies. The test system includes two caul plates with a gap in between, and positioned over the composite laminate. When the test system undergoes a pressurized cure process with a vacuum compaction, a restricted outward expansion of the plurality of stacked plies by the fairing bars, and a pressure differential region formed by the one or more fiber distortion initiators at the one or more locations, create the controlled and repeatable out-of-plane fiber distortion in the composite laminate.
Abstract:
Methods of co-bonding a first thermoset composite (TSC) and a second TSC to define a cured composite part are disclosed herein. The methods include partially curing the first TSC to a target state of cure (SOC) to define a first partially cured TSC. The partially curing is based, at least in part, on a maximum temperature of the first TSC during the partially curing and on an elapsed time that an actual temperature of the first TSC is greater than a threshold temperature. The methods further include combining the first partially cured TSC with the second TSC to define a partially cured TSC assembly and heating the partially cured TSC assembly to bond the first partially cured TSC to the second TSC, cure the partially cured TSC assembly, and produce a cured composite part.
Abstract:
A temperature emulator may include a stack assembly having a pair of end plates positioned at an uppermost and lowermost location of the stack assembly, a plurality of heat sink plates disposed between the pair of end plates, each of the heat sink plates having a plurality of heat sink cutouts, a plurality of shim plates separating adjacent pairs of the end plates and the heat sink plates, each of the shim plates having a shim cutout, an open cavity formed by a plurality of adjacent heat sink cutouts and shim cutouts, thermal insulation disposed within the cavity, and at least one temperature sensor coupled to at least one of the plurality of heat sink plates.
Abstract:
The disclosed systems and methods relate to inspecting uncured fiber-reinforced composite components by non-contact 3D measurements of the component using 3D digital image correlation with patterned illumination. Systems comprise a light projector configured to project a light pattern onto a form, a digital camera configured to image the light pattern, and may comprise and/or be associated with an AFP machine that is configured to lay uncured composite on the form. Methods comprise projecting a light pattern onto a form, acquiring a baseline 3D profile of the form by imaging the light pattern on the form, laying an uncured fiber piece onto the form, projecting the light pattern onto the uncured fiber piece, acquiring a test 3D profile of the fiber piece by imaging the light pattern on the uncured fiber piece, and computing a thickness difference between the test 3D profile and the baseline 3D profile.
Abstract:
Heating operation control includes obtaining sensor data indicating measured temperatures within a heating vessel during a heating operation; determining sets of thermal stack parameters. Each set of candidate thermal stack parameters is descriptive of a respective configuration of a thermal stack modeled by a first machine learning model to generate one or more estimated tool temperature values. The thermal stack includes the tool and a part coupled to the tool. Heating operation control also includes determining a temperature profile for the heating operation. The temperature profile is determined, via a second machine learning model, based on the plurality of sets of thermal stack parameters and one or more process specifications of the thermal stack.
Abstract:
Systems and methods of curing a thermoset composite (TSC) to a target state of cure (SOC) are disclosed herein. The methods include heating the thermoset composite to greater than a threshold temperature. During the heating, the methods further include monitoring an actual temperature of the thermoset composite, determining a maximum temperature achieved by the thermoset composite, and determining an elapsed time that the actual temperature of the thermoset composite is greater than the threshold temperature. The methods further include ceasing the heating based, at least in part, on the maximum temperature of the TSC and the elapsed time. The systems include a heating assembly, a support mandrel, a thermoset composite, a temperature detector, and a controller programmed to perform the methods.
Abstract:
A composite structure is fabricated by staging at least a portion of an uncured, first composite component. The first composite component is assembled with a second composite component, and the staged portion of the first composite component is cocured with the second composite component.
Abstract:
A temperature emulator may include a stacked assembly including a pair of end plates positioned at an uppermost and lowermost location of the stacked assembly, a plurality of heat sink plates positioned between the pair of end plates, a plurality of shim plates positioned between adjacent pairs of heat sink plates, and an exothermic charge assembly positioned between at least one pair of heat sink plates, the exothermic charge assembly including an exotherm charge configured to react exothermally in response to a thermal cure cycle.
Abstract:
A system is provided for collecting data during vacuum molding of a composite part using a mold including an air tight, flexible membrane sealed to a tool. The system comprises a plurality of MEMS sensors coupled with the interior of the mold at different locations over the part. Each of the sensors produces signals related to a process parameter, such as pressure within the bag, that is sensed at the location of the sensor.
Abstract:
Heating operation control includes obtaining sensor data indicating measured temperatures within a heating vessel during a heating operation; determining sets of thermal stack parameters. Each set of candidate thermal stack parameters is descriptive of a respective configuration of a thermal stack modeled by a first machine learning model to generate one or more estimated tool temperature values. The thermal stack includes the tool and a part coupled to the tool. Heating operation control also includes determining a temperature profile for the heating operation. The temperature profile is determined, via a second machine learning model, based on the plurality of sets of thermal stack parameters and one or more process specifications of the thermal stack.