Automatic strategy determination for computer aided manufacturing
A method for automated manufacturing strategy generation can include: identifying features of a desired part from a virtual model; and determining a tactic strategy based on the identified features. The method can additionally include: determining a toolpath primitive for each tactic; combining the toolpath primitives for the tactics to generate a master toolpath; and translating the master toolpath into machine code.
1. A method comprising:
receiving a virtual part from a user account, the virtual part comprising a plurality of part features;
classifying each part feature of the plurality with a feature class from a predetermined set of feature classes, each feature associated with an ordered series of tactics, each tactic associated with a different tool type from a set of tool types, wherein each successive tactic within an ordered series is dependent upon a preceding tactic within the ordered series;
grouping the tactics across different features into tactic groups;
determining inter-feature tactic dependencies within each tactic group;
sorting the tactics into a master series while preserving the tactic dependencies;
based on the master series, automatically determining a master toolpath based on a set of manufacturing cost parameters, comprising:
determining a toolpath primitive for each tactic based on the geometry of the respective part feature;
combining the toolpath primitives for the tactics based on the master series to generate a master toolpath; and
automatically translating the master toolpath into machine code, wherein a physical part is manufactured by controlling a machine according to the machine code.
2. The method of claim 1 , wherein the tactics comprise roughing tactics and finishing tactics, wherein grouping the tactics into a set of tactic groups comprises grouping the roughing tactics from each ordered series of tactics into a roughing group, and grouping the finishing tactics from each ordered series of tactics into a finishing group.
3. The method of claim 1 , wherein tool type comprises a cutter shape.
4. The method of claim 3 , wherein determining the toolpath primitive for each tactic based on the tool type comprises calculating a cutting parameter value for the toolpath primitive using an equation associated with the tool type, wherein each tool type is associated with a different equation from the remaining tool types of the set.
5. The method of claim 1 , wherein determining the master toolpath comprises optimizing the set of manufacturing cost parameters according to a set of optimization goals, wherein the set of optimization goals comprises minimizing a number of part flips.
6. The method of claim 1 , wherein the set of manufacturing cost parameters comprise a number of tool changes.
7. The method of claim 1 , wherein the set of manufacturing cost parameters comprises a total run time.
8. The method of claim 1 , wherein each part feature comprises a height along a machining axis, wherein determining inter-feature tactic dependencies comprises assigning dependencies based on a height order of the respective part features.
9. The method of claim 1 , wherein the tactic groups comprise a finishing group, wherein each part feature comprises a height along a machining axis, wherein determining inter-feature tactic dependencies within the finishing group comprises, for each part feature:
projecting the part feature along the machining axis;
identifying an adjacent part feature occluded by the projection; and
creating a dependency between an adjacent finishing tactic, associated with the adjacent part feature, on a finishing tactic associated with the part feature.