As-designed, as-manufactured, as-tested, as-operated and as-serviced coupled digital twin ecosystem
There are provided methods and systems for optimizing a manufacturing process. For example, there is provided a method for generating a model for driving a decision of a manufacturing process. The method includes simultaneously receiving data from a plurality of sources and executing a machine learning-based procedure on the data. The method further includes updating a physics-based model corresponding to the model in real time based on a result of the machine learning-based procedure.
1. A method for making a new part according to an optimized manufacturing process, the method including:
receiving data from a plurality of sources, the data including as-designed, as-manufactured, as-simulated, and as-tested data relative to one or more parts similar to the new part;
updating in real-time a surrogate model of the new part, wherein the surrogate model forms a digital twin of the new part, the digital twin including at least two of the as-designed, as-manufactured, as-simulated, and as-tested data-; and
executing, based on the digital twin, a set of functions to make the new part.
2. The method of claim 1 , wherein the plurality of sources include new make manufacturing data and a network.
3. The method of claim 1 , wherein the data is associated with a component.
4. The method of claim 3 , wherein the data relative to the component is at least one of the as-designed data, the as-manufactured data, the as-tested data, as-operated data, as-serviced data or a combination thereof.
5. A system configured to manufacture a new part according to an optimized manufacturing process, the system comprising:
a processor;
a memory including instructions that, when executed by the processor, cause the processor to perform operations including:
simultaneously receiving data from a plurality of sources, the data including as-designed, as-manufactured, as-simulated, and as-tested data;
updating in real-time a surrogate model of the new part, wherein the surrogate model forms a digital twin of the new part, the digital twin including at least two of the as-designed, as-manufactured, as-simulated, and as-tested data; and
executing, based on the digital twin, a set of functions to make the new part.
6. The system of claim 5 , wherein the plurality of sources include new make manufacturing data and a network.
7. The system of claim 5 , wherein the data is associated with a component.
8. The system of claim 5 , wherein the data relative to the component is at least one of the as-designed data, the as-simulated data, the as-manufactured data, the as-tested data, as-operated data, as-serviced data or a combination thereof.
9. The system of claim 5 , wherein the data further includes operational data or nominal operating conditions of a component.
10. The system of claim 5 , wherein the new part is a component of an engine.
11. The system of claim 5 , wherein the digital twin includes a representation of a component of an engine.