The objective of this research is to identify optimal sensor locations to estimate temperature distribution in an injection mould using finite element analysis. Potential locations (referred to as target nodes) are grouped based on the similarity of their thermal response using a proposed temperature-ratio clustering method. A sensitivity analysis of the temperature distribution for these groups of target nodes identifies the sensor location for each cluster that exhibits the highest sensitivity to variable inputs. Using identified sensor locations with a neural network model, the accuracy in estimation of temperature response is evaluated.

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