Manufacture modeling and monitoring

A method of analyzing a manufactured part of a particular type of part, wherein the manufactured part is manufactured using a manufacturing process that includes a plurality of manufacturing steps in a system including at least one processing unit and at least one memory, the method comprising:

• aligning a non-destructive evaluation (NDE) dataset associated with the manufactured part to a simulated model of at least of a portion of a part of the particular type of part, including aligning NDE data associated with an area of interest on the manufactured part to at least one corresponding simulated location on the simulated model;
• the NDE dataset corresponding to data collected during non-destructive evaluation of the associated manufactured part;
• analyzing the aligned NDE data associated with the area of interest on the manufactured part and the at least one corresponding simulated location to determine whether the manufactured part includes a manufacturing defect that is associated with the area of interest;
• aligning an indication of a determined manufacturing defect associated with an area of interest to at least one corresponding simulated location on the simulated model;
• and
• analyzing the aligned NDE data associated with the area of interest, the at least one corresponding simulated location of the aligned manufacturing defect on the simulated model, and the aligned manufacturing defect and determining at least one manufacturing step that is associated with the manufacturing defect on the manufactured part.

A method of monitoring the manufacture of a composite aircraft part of a particular type of composite aircraft part by a manufacturing process that has a system including at least one processing unit and at least one memory, the method comprising:

• receiving a plurality of non-destructive evaluation (NDE) datasets, wherein each NDE dataset is associated with at least a portion of a manufactured composite aircraft part of the particular type;
• each NDE dataset corresponding to data collected during non-destructive evaluation of the associated at least a portion of the manufactured composite aircraft part;
• aligning the plurality of NDE datasets to a simulated model associated with the at least a portion of the particular type of composite aircraft part;
• analyzing each aligned NDE dataset to determine at least one spatially correlated statistic for each composite aircraft part;
• aligning each spatially correlated statistic to at least one corresponding simulated location on the simulated model;
• and
• analyzing the aligned spatially correlated statistics for at least a subset of the composite aircraft parts to determine a manufacturing trend associated with the manufacturing process based on the analyzed spatially correlated statistics.

A method of monitoring the manufacture of a composite aircraft part of a particular type of composite aircraft part by a manufacturing process that has a system including at least one processing unit and at least one memory, the method comprising:

• receiving a plurality of non-destructive evaluation (NDE) datasets, wherein each NDE dataset is associated with at least a portion of a manufactured composite aircraft part of the particular type;
• each NDE dataset corresponding to data collected during non-destructive evaluation of the associated at least a portion of the manufactured composite aircraft part;
• aligning the plurality of NDE datasets to a simulated model associated with the at least a portion of the particular type of composite aircraft part;
• and
• analyzing each aligned NDE dataset to determine at least one spatially correlated statistic for each composite aircraft part;
• receiving manufacturing data associated with the manufacturing process for the particular type of part;
• the manufacturing data including at least one of:
• data indicating a manufacturing step of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing apparatus utilized in the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing parameter of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing tool utilized in the manufacturing process associated with at least one physical location on the particular type of part, and data indicating at least one possible root cause problem of the manufacturing process associated with at least one physical location on the particular type of part;
• and
• associating the manufacturing data with the simulated model.