1. Scope

Keywords

Rationale

Gage R&R for surface inspection of castings is poor due to human interpretation of comparator plates, which have severity levels that are not mathematically or statistically generated. This quantitative method of surface roughness inspection removes the subjectivity of a human inspector and uses digital representations of the roughness comparator plates to yield the final roughness level. The practice lays out the mathematics used in calculating surface variogram roughness (S_VR) value from a point cloud generated by inspectors in steel foundries. This S_VR value can then be used to accept or reject castings at the producer level without the reliance on inspector interpretation, reducing subjectivity and uncertainty of actual roughness levels.