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Machining parameters influence the energy consumed during machining processes. A reliable prediction model for energy consumption will enable industry to achieving energy saving by optimizing the machining parameters during process planning stage. This paper presents a two-level optimization artificial neural network modelling method to characterizing the relationship between energy consumption and...
Heterogeneous CAD data exchange is very important in collaborative product development and also extremely difficult. Feature-based data exchange has many advantages than traditional geometry-based data exchange. According to the framework of procedure recovery in feature-based data exchange, this paper discusses the key issues of feature extraction and reconstruction, including the extraction of first-order...
Data exchange is one of key issues in collaborative design. The purpose of feature-based data exchange is that the target model is editable after being exchanged. This is the reason why nowadays feature-based data exchanges become the research focus beyond the traditional geometry-based data exchange. This paper presents a two-stage mechanism to recover a complete modeling process of a parametric...
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