This Neural Networks in Advanced Manufacturing Technology proposes a method of intelligent controlling of injection molding using Neural Network based control unit.
Neural Networks offer pattern recognition based intelligent control. They process data in a parallel manner and thus they are very fast.Since neural networks learn solely based on training data it is possible to obtain inverse models of manufacturing process by simply obtaining the training data from a process model and presenting it to the neural networks in an inverse manner.
This simulation of neural network control scheme may be done by using soft wares like MATLAB, TG MOLD etc, This project uses “FORWARD MODELLING”of neural network .
The aim is to identify the feasibility of obtaining an intelligent control scheme that can learn the inverse model of a manufacturing process and react in a real-time to take corrective actions during fabrication.
CONCLUSION:
The project demonstrates the capabilities of this process model/Neural Network based control unit in several experiments that integrate the control method with a reliable flow progression sensing sub system .
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