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The mould industry, a typical single-product customized mode, has the feature of complex structures and a high degree of differentiation of engineering requirements. It is still difficult to ensure a successful mould test at the early stage considering the complexity of mould parting surface and structure. In order to to facilitate the accuracy and efficiency of the mould redesign, this study proposes an injection mould modification knowledge (IMMK) system based on the simulated annealing algorithm (SAA), in which the historical injection mould modification data can be analysed and re-utilised as IMMK. Especially, latent semantic analysis is used to build the knowledge repository. It has been applied in a collaborative mould factory to evaluate the effectiveness and some significant developments have been shown in practical case that it can significantly improve the accuracy and efficiency of the redesign process.
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