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US 6,600,961 B2Granted
Intelligent control method for injection machine
AssigneeMirle Automation Corporation
InventorsJui-Ming Liang, Pei-Jen Wang
Life of this patent
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Abstract
An intelligent control method for injection machine is to transplant the intelligent control and prediction techniques of a neural network to an injection machine, which has been exemplified capable of deciding the quasi best machine parameters rapidly in couple processing cycles for increasing yield with least loss, and for detecting and adjusting conditions until a desired operation environment is obtained.
Claims6
An intelligent control method for injection machine, comprising:
- executing a model-flow software for process simulation and comparing data with trial operations for building a qualitative-relation database comprising at least a plurality of machine parameters, process parameters, and quality variable parameters;
- defining a total loss function formula and according to the qualitative-relation database to calculate and obtain a data group of “Total loss vs machine parameters” and another data group of “Yield parameters vs quality variable parameters”;
- building an intelligent control neural network and a quality prediction neural network on the basis of the qualitative-relation database and those two data groups;
- connecting the intelligent control neural network, the total loss function formula, and the quality prediction neural network together in series, wherein an output terminal of the intelligent control neural network is jointed with an input terminal of the injection machine;
- an input terminal of the quality prediction neural network is jointed with an output terminal of the injection machine;
- the intelligent control neural network is to receive the output of the total loss function formula and forward amended parameters to the injection machine;
- and the quality prediction neural network is to receive the output process parameters from the injection machine and forward the quality variable parameters to the total loss function formula.
4 more elements
Dependencies are inferred from the claim text.