0.25%. In the meantime, this NNBCFP model gives the methods of predicting cutting power and evaluating the machining capability of the processing system.4.
3．采用人工神经网络建立了基于切削用量的切削力预测模型，其预测精度由经验公式的±2.5％提高到±0.25％；同时给出了切削功率预测以及对工艺系统加工能力评价的方法，实现了对加工性能的预测。
参考来源 - 虚拟数控车削加工精度预测系统研究·2,447,543篇论文数据，部分数据来源于NoteExpress
结果显示，微米级长薄片木纤维切削功率较低。
Calculation result demonstrates the energy consumption for preparing micron flake wood fiber is low.
介绍了一种用频率跟踪法测量木工机床切削功率的新方法。
Introduced a kind of new method by means of frequency track method to measure cutting power of woodworking machines.
通过测试底刀的反作用力来计算不同参数情况下切削功率。
Though test the reacting force of base blade to calculate the cutting power in different circumstances.
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