Data to be processed

The aiCAM^stir project investigates Artificial Intelligence based Computer Aided Manufacturing of Friction Stir Welds

Data to be processed in the aiCAM^stir project are parameters, variables, boundary values and quality.

Data to be processed in the aiCAMstir project are parameters, variables, boundary values and quality.

According to digitalisation and data processing experts, the following categorisation of key data could be considered:

Parameters	Variables	Boundry Values	Quality
Values that you set	Values that result during welding	Values that affect the results	Quality
Rotation speed Welding speed Spindle torque Tool tilt angle	Tool temperature Clamping forces	Tool design Tool materials and coatings Workpiece materials Workpiece cleanliness Room temperature Temperature of the workpieces Temperature of the fixture Geometry of the set-up	Tensile strength Elongation Visual appearance Fatigue strength Voids (pores) Weld depth Lack of penetration Bend test results Cracks Inclusions Helium-tightness
Tool position Tool forces
	Gap between the parts Tool wear

The categorisation depends on the concept and complexity of the machine. Modern FSW machines provide close-loop force and position control algorithms, which complicate the distinction between parameters and variables. Some machines use the temperature as a parameter that can be set, e.g. to change the parameters if the tool gets too hot.

Please feel free to improve the classification above or to propose an alternative classification.