z-logo
open-access-imgOpen Access
Feed Cutting Force Estimation from the Current Measurement with Hybrid Learning
Author(s) -
Xiaoli Li,
Patri K. Venuvinod,
M.K. Chen
Publication year - 2000
Publication title -
the international journal of advanced manufacturing technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.946
H-Index - 124
eISSN - 1433-3015
pISSN - 0268-3768
DOI - 10.1007/s001700070002
Subject(s) - current (fluid) , estimation , computer science , engineering , mechanical engineering , electrical engineering , systems engineering
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 a feed drive system are analysed in detail, and a model of the feed drive system for estimating feed cuttinng force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this medthod can accurately estimate feed cutting force within an error of 5%.  

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom