US 12,140,567 B2
Method for determining the geometry of an object based on data from non-destructive measuring methods
Andrey Danilov, Stans (CH); and Matthias Peussner, Westerkappeln (DE)
Assigned to ROSEN Swiss AG, Stans (CH)
Appl. No. 17/602,950
Filed by ROSEN SWISS AG, Stans (CH)
PCT Filed Apr. 9, 2020, PCT No. PCT/EP2020/060188
§ 371(c)(1), (2) Date May 16, 2022,
PCT Pub. No. WO2020/208154, PCT Pub. Date Oct. 15, 2020.
Claims priority of application No. 19168281 (EP), filed on Apr. 9, 2019; and application No. 19168532 (EP), filed on Apr. 10, 2019.
Prior Publication US 2022/0308018 A1, Sep. 29, 2022
Int. Cl. G01N 29/24 (2006.01); G01N 27/82 (2006.01); G01N 29/44 (2006.01)
CPC G01N 29/2412 (2013.01) [G01N 27/82 (2013.01); G01N 29/4427 (2013.01); G01N 29/4436 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for determining a geometry of a metallic object with one or more real, examined defects, with a reference data set of the object generated on the basis of at least one measurement by at least one non-destructive measuring method, the method comprising the steps of:
performing a classification of anomaly-free areas and anomaly-affected areas of the object on the basis of at least parts of the at least one reference data set,
creating an initial object grid,
calculating a prediction data set of the at least one non-destructive measuring method by a simulation routine using the initial object grid,
performing a comparison of at least parts of the prediction data set to at least parts of the at least one reference data set, excluding the anomaly-afflicted regions, and,
depending on at least one accuracy measure, using the initial object grid as an object grid describing the geometry of the object, or performing an iterative adjustment of the initial object grid to the geometry of the object in the anomaly-free regions by means of an electronic data processing (“EDP”) unit,
wherein a new initial object grid is created during the iteration and for this a new prediction data set is calculated by the simulation routine, and a comparison of at least parts of the new prediction data set to at least parts of the at least one reference data set is performed, excluding the anomaly-afflicted regions, until a stop criterion is present and the initial object grid then present is used as an object grid describing the geometry of the object.