Showing 2 results for Fuzzy Logic
A. Salimi, M. Zadshakoyan, A. Ozdemir, E. Seidi,
Volume 9, Issue 2 (6-2012)
Abstract
In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process .In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill. By using of the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate in drill, Fuzzy logic capabilities have been used to develop intelligent system. The simulated results presented in MATLAB software show the effectiveness of the proposed system for on-line drill wear monitoring.
A. Salimi, A. Özdemir, A. Erdem,
Volume 12, Issue 3 (9-2015)
Abstract
On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems
(FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in
turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded
as the output data in the fuzzy logic for constructing the system. Flank wear was used as the tool life criterion and the
wear ranges were selected between 0 and 0, 3 based on ISO 3685 standard for new and worn tool respectively. For
conducting the tests, Taghuchi method was used to design an experimental table. The results of the measurements and
estimates confirmed the reliability of the fuzzy logic method for estimating tool wear. One significant feature of the
proposed system is that it can predict the wear rate on-line by transferring the cutting force signals from the sensor to
the fuzzy logic simulation box.
