초록 ▼

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 yiel

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.

대표청구항 ▼

1. 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 v

1. 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. 2. The intelligent control method according to claim 1, wherein both the intelligent control neural network and the quality prediction neural network are radiant radical function neural networks. 3. The intelligent control method according to claim 1, wherein the step of "comparing data with trial operations" is proceeded according to a parameter design method within an upper and a lower threshold of the machine parameters which is provided by the model-flow software. 4. The intelligent control method according to claim 1, wherein the machine parameters include at least the injection speed, the pressure-holding time, and the held pressure. 5. The intelligent control method according to claim 1, wherein the process parameters include at least the feeding speed, the pressure-holding time, and the mold-cavity pressure. 6. The intelligent control method according to claim 1, wherein the quality variable parameters include at least the output weight, the maximum volume shrinkage, and the maximum dent.