| Summary: | The accurate energy consumption characteristics evaluation in machining is helpful to optimize processing scheme to realize low carbon manufacturing. The energy consumption characteristics evaluation method in turning is researched, which includes energy efficiency calculation and energy consumption prediction. First, the simple and accurate energy efficiency computational model in turning is put forward. Second, the energy consumption prediction empirical model and the back-propagation neural network prediction model are developed respectively. Finally, the power signal measurement system is built on computer numerical controlled lathe, and the proposed energy efficiency computational model and the energy consumption prediction methods are verified in the 45# steel semi-finish turning with hard alloy cutting tools. The results show that the proposed methods can effectively evaluate the energy consumption characteristics in turning, which can help to select the high energy efficiency processing program on the basis of ensuring processing quality.
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