Energy Consumption Prediction System of Mechanical Processes Based on Empirical Models and Computer-Aided Manufacturing
作者： Keyan He , Renzhong Tang , Zhongwei Zhang , Wenjun Sun
DOI: 10.1115/1.4033921
关键词:
摘要: Energy consumption prediction at the process planning stage is basis of mechanical optimization aiming energy saving and reducing carbon emission. The accuracy efficiency method will be most concerning issues. This paper presents an system processes based on empirical models computer aided manufacturing (CAM). was developed analysis energy-related data acquiring methods. sources are divided into two parts: auxiliary machine movements intrinsic movements. Considering sources, there kinds methods: from database or CAM files. Process state introduced to support calculation presentation results. Example Microsoft SQL Server 2008 UGS NX 7.0, several examples were also presented. results demonstrate that proposed developing effective in predicting with high efficiency.
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