US 11,693,394 B2
Systems and methods for automated prediction of machining workflow in computer aided manufacturing
Tania Campanelli, Fano (IT); Daniele Spitaletta, Pistoia (IT); and Luigi Galavotti, Florence (IT)
Assigned to HEXAGON TECHNOLOGY CENTER GMBH, Heerbrugg (CH)
Filed by D.P. TECHNOLOGY CORP., Camarillo, CA (US)
Filed on Mar. 3, 2021, as Appl. No. 17/191,386.
Claims priority of provisional application 62/984,755, filed on Mar. 3, 2020.
Prior Publication US 2021/0278822 A1, Sep. 9, 2021
Int. Cl. G05B 19/418 (2006.01)
CPC G05B 19/4188 (2013.01) [G05B 19/4183 (2013.01); G05B 19/41815 (2013.01); G05B 19/41865 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
selecting one or more sequences of machining types for a feature of one or more features, wherein the selection of the one or more sequences of machining types is based on the feature and a database of prior selections by a user of machining types, wherein the database of prior selections by a user of machining types is built based on a user's skill set and experiential habits;
selecting one or more tools associated with the selected one or more sequences of machining types, wherein the selection of the one or more tools is based on the feature, the selected one or more sequences of machining types, and a database of prior selections by the user of one or more tools;
determining one or more machining parameters for the selected one or more tools, wherein the determined machining parameters are based on the feature, the selected one or more sequences of machining types, the selected one or more tools, and a database of prior determinations by the user of one or more machining parameters; and
determining a machining workflow prediction in a computer aided manufacturing (CAM) environment based on the selected one or more sequences of machining types, the selected one or more tools, and determined one or more machining parameters, thereby leveraging historical data of a user's prior selections for the determined machining workflow prediction to make an informed recommendation to the user.