Systems and methods for automated prediction of machining workflow in computer aided manufacturing

A system comprising:

• an Operation Sequence Classifier Component having a processor and addressable memory, wherein the Operation Sequence Classifier Component is configured to:
• select one or more sequences of operations for each feature of one or more features based on receiving a geometry feature;
• wherein the one or more sequences of operations is selected based on a user's habits, environment, and skill set;
• a Tool Parameters Predictor Component having a processor and addressable memory, wherein the Tool Parameters Predictor Component is configured to:
• receive the selected one or more sequences of operations, each feature of the one or more features, and one or more prior tool parameters selected by the user;
• and
• select one or more tool parameters based on the received selected one or more sequences of operations, each feature of the one or more features, and the one or more prior tool parameters selected by the user;
• and
• an Operation Parameter Predictor Component having a processor and addressable memory, wherein the Operation Parameter Predictor Component is configured to:
• receive the selected one or more sequences of operations and the selected one or more tool parameters;
• and
• determine one or more operation parameters based on the received selected one or more sequences of operations and the selected one or more tool parameters;
• wherein the one or more operation parameters is based on the user's habits on selecting and setting value to some parameters with respect to all available parameters and obtained from a database comprising a census for all operation parameters.

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;
• 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, determined one or more machining parameters, and a user's initial data set and new data, wherein the new data is new machining test files, thereby leveraging historical data of a user's prior selections for the determined machining workflow prediction to make an informed recommendation to the user.

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;
• 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 a set of user preferences and associating the determined set of user preferences with machining tools and comfort levels exhibited by the user;
• 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.