Method and system for part design using heterogeneous constraints
A method of classifying design criteria includes receiving design criteria for a product part. The criteria comprise one or both of performance and manufacturing criteria. The design criteria are sorted into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized. Constraint violations are determined. A design workflow is produced to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.
1. A method of classifying design criteria comprising
receiving design criteria for a product part, the design criteria comprising one or both of performance and manufacturing criteria;
sorting the design criteria into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized;
determining constraint violations; and
producing a design workflow to generate one or more designs of a part to comply with one or more of satisfying the one or more constraints and optimizing the one or more objective functions.
2. The method of claim 1 , wherein types of the one or more constraints comprise one or more of set constraints, equality constraints, and inequality constraints.
3. The method of claim 1 , wherein scopes of the one or more constraints comprise one or more of global, local, and strictly local.
4. The method of claim 1 , further comprising computing one or more performance fields of the one or more designs.
5. The method of claim 4 , further comprising:
evaluating the one or more objective functions based on the performance fields; and
ordering the one or more designs based on the evaluated objective functions.
6. The method of claim 4 , further comprising:
computing the constraint violations based on the performance fields; and
determining if the one or more designs are feasible based on the computed constraint violations.
7. A system for classifying design criteria, comprising:
a processor; and
a memory storing computer program instructions which when executed by the processor cause the processor to perform operations comprising:
receiving design criteria for a product part, the criteria comprising one or both of performance and manufacturing criteria
sorting the design criteria into different classes of one or both of objective functions and constraints based on when they can be satisfied or optimized;
determining constraint violations; and
setting up a design workflow to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.
8. The system of claim 7 , wherein types of the constraints comprise one or of set constraints, equality constraints, and inequality constraints.
9. The system of claim 7 , wherein scopes of the constraints comprise one or more of global, local, and strictly local.
10. The system of claim 7 , wherein the processor is further configured to compute one or more performance fields of the one of the one or more designs.
11. The system of claim 10 , wherein the processor is further configured to:
evaluate one or more objective functions based on the performance fields; and
order the one or more designs based on the evaluated objective functions.
12. The system of claim 10 , wherein the processor is further configured to:
compute the constraint violations based on the performance fields; and
determine if the one or more designs are feasible based on the computed constraint violations.
13. A method, comprising:
receiving one or more constraints for a design of a product part;
defining a feasible design space based on the one or more constraints;
pruning the design space based on a subset or all of the one or more constraints; and
exploring the pruned design space to produce one or more feasible part designs.
14. The method of claim 13 , further comprising:
evaluating point membership tests based on one or more feasibility predicates defined by pointwise constraints; and
computing maximal designs to represent the feasible design space with respect to the pointwise constraints.
15. The method of claim 13 , further comprising:
computing a measure of global changes of each of a plurality of constraint violations due to local variations in the one or more designs; and
determining a topological sensitivity field (TSF) by combining the measures of global changes of each of the plurality of constraint violations, the TSF configured to guide design space exploration to produce the feasible designs.
16. The method of claim 15 , wherein defining the feasible design space comprises using one or more of a density-based, a levelset shape, and a topology optimization approach.
17. The method of claim 16 , further comprising optimizing the one or more designs using augmented Lagrangians.
18. A system, comprising:
a processor;
a user interface; and
a memory storing computer program instructions which when executed by the processor cause the processor to perform operations comprising:
receiving one or more constraints for a design of a product part via the user interface;
defining a feasible design space based on the one or more constraints;
pruning the design space based on a subset or all of the constraints; and
exploring the pruned design space to produce one or more feasible part designs.
19. The system of claim 18 , wherein the processor is further configured to perform:
evaluating point membership tests based on one or more feasibility predicates defined by pointwise constraints; and
computing maximal designs to represent the feasible design space with respect to the pointwise constraints.
20. The system of claim 18 , wherein the processor is further configured to perform:
computing a measure of global changes of each of a plurality of constraint violations due to local variations in the one or more designs; and
determining a topological sensitivity field (TSF) by combining the measures of global changes of each of the plurality of constraint violations, the TSF configured to guide design space exploration to produce the feasible designs.