Predictive modeling of machining line variation
AssigneeGM Global Technology Operations LLC
InventorsJohn S. Agapiou, Eric A. Steinhilper, Jeffrey M. Alden, Aloysius Anagonye, Pulak Bandyopadhyay, Fangming Gu, Patrick M. Hilber
Life of this patent
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Abstract
A multistage machining process includes a plurality of stations. Workpiece feature quality is predicted based on decomposition of the machining process into sources of variation, reticulation of the machining process into machining stations and error models that account for significant contributions to feature quality including from categorical sources of variation.
Claims20
Method for predicting feature quality in workpieces produced by a multi-station machining process, comprising:
- decomposing the multi-station machining process into sources of variation including machine variations, fixture variations and workpiece variations;
- reticulating the multi-station machining process into machining stations;
- determining workpiece feature errors at each machining station based on the sources of variation;
- summing workpiece feature errors into station level errors;
- and
- using the station level errors to statistically predict feature quality.
Method for predicting feature quality in workpieces produced by a multi-station machining process including at least one machine and one fixture, comprising:
- identifying a workpiece feature and a quality metric corresponding thereto;
- reticulating the multi-station machining process into machining stations;
- performing a plurality of station level error determinations for each of the machining stations, each determination including providing errors that significantly affect the quality metric of the feature and summing the errors to provide a station level error for each determination, wherein a respective plurality of station level errors is provided for each of the machining stations;
- and
- using the station level errors to statistically predict the feature quality with respect to the quality metric.
Dependencies are inferred from the claim text.