Feed cutting force estimation from the current measurement with hybrid learning

It is very important to use reliable and inexpensive sensors to obtain usef ul information about manufacturing processing, such as cutting force, for m onitoring automated machining. In this paper, the feed cutting force is mea sured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect of feed drive system are analysed in detail, and a model of the feed drive system for estimating fee d cutting force is presented. The feed cutting force is estimated using fee d motor current measurement and neuro-fuzzy techniques. Experimental result s demonstrate that this method can accurately estimate feed cutting force w ithin an error of 5%.