Method, system and computer product for generating a manufacturing process map using fuzzy logic
View Patent ↗A method for generating a manufacturing process map comprises obtaining sets of N-dimensional expert data from at least three sources, defining a membership function for each set of expert data, applying fuzzy logic operations to said membership functions to generate new membership functions, the new membership functions defining N-dimensional regions within an N-dimensional design space and using one of said N-dimensional regions to generate the manufacturing process map.
1. A computer-implemented method for generating a manufacturing process map, the method comprising:
obtaining sets of N-dimensional expert data from at least three sources including an experimental data set, a simulation data set, and a set of manufacturing process experts;
defining a membership function for each set of expert data;
applying fuzzy logic operations to said membership functions to generate new membership functions; wherein the new membership functions define N-dimensional regions within an N-dimensional design space; and
using one of said N-dimensional regions to generate the manufacturing process map, wherein the manufacturing process map is used to control a manufacturing process.
2. The method of claim 1 , wherein said fuzzy logic operations include a fuzzy union of said sets of N-dimensional expert data to define an N-dimensional design region.
3. The method of claim 1 , wherein said fuzzy logic operations include a fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional acceptable region.
4. The method of claim 1 , wherein said fuzzy logic operations include a partial fuzzy union and a partial fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional tolerable region.
5. The method of claim 4 , wherein said fuzzy logic operations include a plurality of partial fuzzy union and a partial fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional tolerable region.
6. The method of claim 1 , wherein the manufacturing process map is generated for a casting process.
7. A system for generating a manufacturing process map, the system comprising:
at least one database including sets of N-dimensional expert data from at least three sources including an experimental data set, a simulation data set, and a set of manufacturing process experts;
a computer system coupled to said at least one database, said computer system implementing a method comprising:
obtaining sets of N-dimensional expert data from at least three sources; defining a membership function for each set of expert data;
applying fuzzy logic operations to said membership functions to generate new membership functions; wherein the new membership functions define N-dimensional regions within an N-dimensional design space; and
using one of said N-dimensional regions to generate the manufacturing process map, wherein the manufacturing process map is used to control a manufacturing process.
8. The system of claim 7 , wherein said fuzzy logic operations include a fuzzy union of said sets of N-dimensional expert data to define an N-dimensional design region.
9. The system of claim 7 , wherein said fuzzy logic operations include a fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional acceptable region.
10. The system of claim 7 , wherein said fuzzy logic operations include a partial fuzzy union and a partial fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional tolerable region.
11. The system of claim 10 , wherein said fuzzy logic operations include a plurality of partial fuzzy union and a partial fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional tolerable region.
12. A computer program product for generating a manufacturing process map, the computer program product comprising:
a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
obtaining sets of N-dimensional expert data from at least three sources including an experimental data set, a simulation data set, and a set of manufacturing process experts;
defining a membership function for each set of expert data;
applying fuzzy logic operations to said membership functions to generate new membership functions; wherein the new membership functions define N-dimensional regions within an N-dimensional design space;
using one of said N-dimensional regions to generate the manufacturing process map, wherein the manufacturing process map is used to control a manufacturing process.
13. The computer program product of claim 12 , wherein said fuzzy logic operations include a fuzzy union of said sets of N-dimensional expert data to define an N-dimensional design region.
14. The computer program product of claim 12 , wherein said fuzzy logic operations include a fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional acceptable region.
15. The computer program product of claim 12 , wherein said fuzzy logic operations include a partial fuzzy union and a partial fuzzy intersection of said sets of N- dimensional expert data to define an N-dimensional tolerable region.
16. The computer program product of claim 15 , wherein said fuzzy logic operations include a plurality of partial fuzzy union and a partial fuzzy intersection of said sets of N-dimensional expert data to define an N-dimensional tolerable region.
17. The computer program product of claim 12 , wherein the manufacturing process map is generated for a casting process.
18. The system of claim 7 , wherein the manufacturing process map is generated for a casting process.