Abstract: Historical in-process machining information can be used to make machining process parameter recommendations. The disclosed systems and methods enable continuous learning for machining parameter selection using aggregated in-process machining information. The systems and methods save in-process machining data in a database using a standardized format, use data augmentation outlier detection, aggregation, and clustering algorithms to make machining process parameter recommendations and expected cut time predictions based on user inputs. The system can include a front-end dashboard to facilitate visualization and interpret results.

Abstract: A method, medium, and system to receive an indication of an assembly including a plurality of different components to produce by additive manufacturing (AM), determine based on a forward search process that starts with individual components of the plurality of components and iteratively adds other components of the plurality of components thereto in combinations until an entirety of the assembly is accounted for, determine based on a reverse search process that starts with the entirety of the assembly and iteratively removes components of the plurality of components therefrom in combinations until a two-component set is reached, automatically select an optimal combination of the plurality of components from the combinations determined by the forward search and reverse search processes; and transmit the selection of the optimal combination of the plurality of components to an AM controller.

Abstract: A method, medium, and system to receive an indication of an assembly including a plurality of different components to produce by additive manufacturing (AM), determine based on a forward search process that starts with individual components of the plurality of components and iteratively adds other components of the plurality of components thereto in combinations until an entirety of the assembly is accounted for, determine based on a reverse search process that starts with the entirety of the assembly and iteratively removes components of the plurality of components therefrom in combinations until a two-component set is reached, automatically select an optimal combination of the plurality of components from the combinations determined by the forward search and reverse search processes; and transmit the selection of the optimal combination of the plurality of components to an AM controller.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate generating operating parameters are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, tool life models using a tool wear data set, wherein the tool wear data set is based on production data or predetermined data; and generating, by the system, operating parameters for machining operations based on the tool life models and baseline operational parameters.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate generating operating parameters are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, tool life models using a tool wear data set, wherein the tool wear data set is based on production data or predetermined data; and generating, by the system, operating parameters for machining operations based on the tool life models and baseline operational parameters.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate generating operating parameters are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, tool life models using a tool wear data set, wherein the tool wear data set is based on production data or predetermined data; and generating, by the system, operating parameters for machining operations based on the tool life models and baseline operational parameters.