Process for selecting surrogate part
AssigneeToyota Motor Engineering & Manufacturing North America, Inc.
InventorsAdam Richard Muehlhauser, Andrew Raymond Nowasielski
Life of this patent
Estimating the term…
Abstract
A process for selecting a surrogate part for metallic plating, the metallic plating of the surrogate part predicting results for the metallic plating of a new or predetermined part is disclosed. The process can include providing a reinforcement learning system having a memory circuitry and a processing circuitry. The memory circuitry can have a database with data associated with a plurality of surrogate parts and data associated with the predetermined part can be entered into the data input module. The processing circuitry can compare the data associated with each of the plurality of surrogate parts and the data associated with the predetermined part and select a surrogate part that affords predicting a plating result of the predetermined part.
Claims11
A process for selecting a surrogate part for metallic plating, the metallic plating of the surrogate part predicting results for metallic plating of a predetermined part, the process comprising:
- providing a data input module operative to accept data on the predetermined part to be metallic plated;
- providing a reinforcement learning system having a memory circuitry and a processing circuitry, the memory circuitry having a database with data associated with each of a plurality of surrogate parts;
- entering data associated with the predetermined part into the data input module, the data including a desired set of plating parameters for plating the predetermined part;
- calculating a difference between the data associated with the each of the plurality of surrogate parts and the data associated with the predetermined part using the processing circuitry;
- and
- selecting one of the plurality of surrogate parts for metallic plating based on the difference between the data associated with the each of the plurality of surrogate parts and the data associated with the predetermined part.
A process for selecting a surrogate part for metallic plating, the metallic plating of the surrogate part predicting plating results for a predetermined part, the process comprising:
- providing a data input module operative to accept data on a predetermined part to be metallic plated;
- providing a reinforcement learning system having a memory circuitry and a processing circuitry, the memory circuitry having a database with data associated with each of a plurality of surrogate parts, the processing circuitry operative to compare data on the predetermined part to be metallic plated with data associated with the each of the plurality of surrogate parts;
- entering data associated with the predetermined part into the data input module, the data including a desired set of plating parameters for plating the predetermined part;
- comparing the data associated with the predetermined part with the data associated with the each of the plurality of surrogate parts;
- computing a difference factor between the data associated with the predetermined part and the data associated with the each of the plurality of surrogate parts;
- selecting one of the plurality of surrogate parts for plating based on the difference factor;
- metallic plating the surrogate part using the desired set of plating parameters for plating the predetermined part;
- determining whether or not the metallic plating of the surrogate part was successful;
- updating the database with data associated with the desired set of plating parameters for the surrogate part if the metallic plating was successful;
- metallic plating the predetermined part using the desired set of plating parameters;
- determining whether or not the metallic plating of the predetermined part was successful;
- and
- updating the database with data associated with the predetermined part if the metallic plating of the predetermined part was successful.
Dependencies are inferred from the claim text.