SN比と誤圧を用いた工作機械主軸の良否判定システムの開発の試み

抄録

For a machine tool, the spindle is an essential element in the machining process, so sporadic repairs to or replacement of the spindle can directly affect the machine tool user's productivity. If slight abnormalities could be detected before they caused major damage to the spindle, both the machine tool user and the machine tool manufacturer would beneft: the user from reduced downtime; the manufacturer from reduced need to provide servicing. In the present study, accordingly, the power consumption of the motor that turns the spindle was evaluated by using the error root mean square fbr the purpose of developing a system that could discriminate and diagnose the condition of the spindle. This time, data for 28 spindles that were shipped following a previous report entitled 'Development Of Spindle life prediction system using MT system' was newly analyzed, S/N ratios and distances were recalculated for a total of 45 spindles, and overall trends were investigated by use of a correlation matrix. As a result, it became clear that the S/N ratio and distance were distributed differently for different spindle specifications, and that it might be possible to detect abnormal conditions more accurately by use of factor analysis and the correlation matrix instead of just using distances.