Uncertainty Analysis Based Geometric Error Detection for Heavy-duty Machine Tools

In order to measure the geometric errors of heavy-duty machine tools with high efficiency and high precision, an uncertainty analysis method based on Monte Carlo theory is presented to determine the detection of geometric errors for heavy-duty machine tool. It is found that 4-station orderly multilateral method is the preferred method for heavy-duty machine tool geometric error detection through the comparison among the measurement uncertainty of single station method, multilateral method and different station numbers sequentially multilateral method. The experimental results show that 4-stations sequentially multilateral method can improve the detection efficiency, and the errors are similar to the direct measurement of the laser interferometer.