Systems, methods, apparatus, and articles of manufacture for automated composite layup quality assurance.

Systems, methods, apparatus, and articles of manufacture for automated composite layup quality assurance.

Systems and methods are provided for inspecting aircraft fuselages. Non-Destructive Inspection (NDI) stations inspect sections of a fuselage via pulsed-line assembly techniques. After each pulse, a section of fuselage is moved by less than its length, and one or more NDI stations disposed at different portions of the section to inspect the section of fuselage for out-of-tolerance conditions. A method for inspecting a structure for inconsistencies which includes advancing a structure along a track in a process direction through a Non-Destructive Inspection (NDI) station, indexing the structure to the NDI station and inspecting the structure with the NDI station.

A transport device inspection system includes a plurality of transport devices configured to move along a transport path, a diagnostic server configured to create inspection schedule information for the plurality of transport devices, an inspector configured to receive the inspection schedule information from the diagnostic server and to sequentially inspect the plurality of transport devices in accordance with the inspection schedule information, and a transport device controller configured to receive the inspection schedule information from the inspector and to control the plurality of transport devices to sequentially move to an inspection position in accordance with the inspection schedule information.

A computer implemented method of modelling the degradation of at least a component within an abrasive environment, the method comprising: obtaining a 3D scan of a surface of a component, processing the surface images of the component, determining the surface properties, inputting the data into a trained prediction model, predicting the performance of the component, and simulating the surface evolution over time or use of the component.

The invention relates to a method for providing a coating composition-related prediction program, the method comprising: providing a database (204, 904) comprising associations of qualitative and/or quantitative characterizations of coating surfaces and one or more parameters; training a machine learning model for providing a predictive model (M2, M3) having learned to correlate qualitative and/or quantitative characterizations of one or more coating surfaces with one or more of the parameters; and providing a composition-quality-prediction program configured for using the predictive model (M2) for predicting the properties of a coating surface to be produced from one or more input parameters; and/or providing a composition-specification-prediction program configured for using the predictive model (M3) for predicting, based on an input specifying at least a desired coating surface characterization, one or more output parameters related to a coating composition predicted to generate a coating surface having the input surface characterizations.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.