It proves that this prediction model is effective by machining experiments. Using prediction model can predict and control surface roughness under certain condition.
经加工试验证明了该表面粗糙度预测模型的有效性，从而实现加工前在确定切削条件下预测和控制表面粗糙度的目的。
Since the machining errors mainly caused by deformation of cutter and workpiece, we mainly deal with the machining simulation and errors prediction under the influence of cutting force.
加工误差的产生很大程度上来自于加工变形，本文主要研究切削力因素影响下的面向误差预报的加工物理仿真。
Variation prediction of algae quantity under different phosphorus load.
预测湖泊在不同磷负荷下藻类生物量的变化。
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