Feed cutting force estimation from the current measurement with hybrid learning

It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured 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 feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5%.