An active infrared thermography system and a computer-implemented method for generating a thermal image are provided. The active infrared thermography system includes one or more excitation sources, an infrared camera, one or more portable power sources arranged to power the one or more excitation sources and the infrared camera, and a housing, the one or more excitation sources and the one or more portable power sources being received in the housing.

An active infrared thermography system and a computer-implemented method for generating a thermal image are provided. The active infrared thermography system includes one or more excitation sources, an infrared camera, one or more portable power sources arranged to power the one or more excitation sources and the infrared camera, and a housing, the one or more excitation sources and the one or more portable power sources being received in the housing.

A method (10) for detecting a thermal anomaly in a composite structure (12) is provided. The method (10) includes radiatively heating (14) the composite structure (12) for a period of between about 15 seconds (s) and about 25 s, cooling (24) the heated composite structure (12), monitoring (26) temperature changes of the composite structure (12) as the composite structure (12) cools, and generating (30) a thermal image of the composite structure (12) based on the temperature changes.

A method (10) for detecting a thermal anomaly in a composite structure (12) is provided. The method (10) includes radiatively heating (14) the composite structure (12) for a period of between about 15 seconds (s) and about 25 s, cooling (24) the heated composite structure (12), monitoring (26) temperature changes of the composite structure (12) as the composite structure (12) cools, and generating (30) a thermal image of the composite structure (12) based on the temperature changes.

There is provided a method that includes directing one or more infrared cameras at a compaction roller of a composite laying head of a composite layup machine. The one or more infrared cameras are mounted aft of the compaction roller. The method includes applying heat to a substrate by a heater. The heater is mounted forward of the compaction roller. The method further includes using the one or more infrared cameras, to obtain one or more infrared images of the compaction roller, during laying down of one or more composite tows of a composite layup onto the substrate by the compaction roller. The method further includes identifying, based on the one or more infrared images, one or more temperature profiles of the compaction roller, and analyzing identified temperature profiles, to determine one or more of, a layup quality of the composite layup, and a heat history of the composite layup.

There is provided a method that includes directing one or more infrared cameras at a compaction roller of a composite laying head of a composite layup machine. The one or more infrared cameras are mounted aft of the compaction roller. The method includes applying heat to a substrate by a heater. The heater is mounted forward of the compaction roller. The method further includes using the one or more infrared cameras, to obtain one or more infrared images of the compaction roller, during laying down of one or more composite tows of a composite layup onto the substrate by the compaction roller. The method further includes identifying, based on the one or more infrared images, one or more temperature profiles of the compaction roller, and analyzing identified temperature profiles, to determine one or more of, a layup quality of the composite layup, and a heat history of the composite layup.

An autonomous or semi-autonomous cell for inspecting composite parts, verifying repairs made to such parts, and facilitating repairs to composite parts. The cell employs automated inspection, damage assessment, and repair systems. An industrial robot automatically attaches to a set of interchangeable inspection and repair end effectors to carry out the inspection, verification, and repair processes. The cell can be equipped with fixtures for supporting a rotorcraft blade and rotating the blade within the cell so that the robot can access the entire blade. Processes are provided for performing inspections, tracking the inspection data for parts in a database, and carrying out repairs. Over time, a software applicant can use the inspection data to train a machine learning model for recognizing damage to the composite part based on inspection images.

A measurement system is provided for predicting a future status of a refractory lining that is lined over an inner surface of an outer wall of a manufacturing vessel and exposed to an operational cycle during which the refractory lining is exposed to a high-temperature environment for producing a non-metal and the produced non-metal. The system includes one or more laser scanners and a processor. The laser scanners are configured to conduct one or more pre-operational laser scans of the refractory lining prior to the operational cycle to collect data related to pre-operational cycle structural conditions, and one or more post-operational laser scans of the refractory lining after the operational cycle to collect data related to post-operational cycle structural conditions of the refractory lining. The processor is configured to predict future status of the refractory lining after subsequent operational cycles based on the determined exposure impact of the operational cycle.

A measurement system is provided for predicting a future status of a refractory lining that is lined over an inner surface of an outer wall of a manufacturing vessel and exposed to an operational cycle during which the refractory lining is exposed to a high-temperature environment for producing a non-metal and the produced non-metal. The system includes one or more laser scanners and a processor. The laser scanners are configured to conduct one or more pre-operational laser scans of the refractory lining prior to the operational cycle to collect data related to pre-operational cycle structural conditions, and one or more post-operational laser scans of the refractory lining after the operational cycle to collect data related to post-operational cycle structural conditions of the refractory lining. The processor is configured to predict future status of the refractory lining after subsequent operational cycles based on the determined exposure impact of the operational cycle.

System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.