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。
It proves that this prediction model is effective by machining experiments. Using prediction model can predict and control surface roughness under certain condition.
经模型和实际试验证明，该清除方法清土效果好，可提高作业生产率20%。
The better cleaning results by this method were verified through model tests and actual operation and a productivity increase of about 20% resulted.
本文所研制的DSP轴角检测板经试验验证基本达到了在数控加工技术中的应用要求，具有良好的实用价值和应用前景。
The DSP axis-angle detecting board has been proved successfully and has satisfied the requirement of numerical control machining and holds application values and excellent foreground.
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