Abstract
A fuzzy logic controller (FLC) has been designed to predict material removal rate and surface roughness of the components machined by the electro chemical process. To establish logical relationship between antecedent and consequent variables of the process, experiments were performed using a dual pole tool and results of these experiments were used to prepare the rule base for the FLC. Initial design of FLC was fine- tuned using genetic algorithms (GA) and results from optimized FLC were compared with experimental observations. It was found that predictions from GA optimized FLC were more close to experimental results than the simple FLC.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005 |
| Pages | 2016-2029 |
| Number of pages | 14 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | 2nd Indian International Conference on Artificial Intelligence, IICAI 2005 - Pune, India Duration: Dec 20 2005 → Dec 22 2005 |
Other
| Other | 2nd Indian International Conference on Artificial Intelligence, IICAI 2005 |
|---|---|
| Country | India |
| City | Pune |
| Period | 12/20/05 → 12/22/05 |
Fingerprint
ASJC Scopus subject areas
- Artificial Intelligence
Cite this
Prediction of performance characteristics of the ECM process using GA optimized fuzzy logic controller. / Jamwal, P. K.; Shan, H. S.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005. 2005. p. 2016-2029.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Prediction of performance characteristics of the ECM process using GA optimized fuzzy logic controller
AU - Jamwal, P. K.
AU - Shan, H. S.
PY - 2005
Y1 - 2005
N2 - A fuzzy logic controller (FLC) has been designed to predict material removal rate and surface roughness of the components machined by the electro chemical process. To establish logical relationship between antecedent and consequent variables of the process, experiments were performed using a dual pole tool and results of these experiments were used to prepare the rule base for the FLC. Initial design of FLC was fine- tuned using genetic algorithms (GA) and results from optimized FLC were compared with experimental observations. It was found that predictions from GA optimized FLC were more close to experimental results than the simple FLC.
AB - A fuzzy logic controller (FLC) has been designed to predict material removal rate and surface roughness of the components machined by the electro chemical process. To establish logical relationship between antecedent and consequent variables of the process, experiments were performed using a dual pole tool and results of these experiments were used to prepare the rule base for the FLC. Initial design of FLC was fine- tuned using genetic algorithms (GA) and results from optimized FLC were compared with experimental observations. It was found that predictions from GA optimized FLC were more close to experimental results than the simple FLC.
UR - http://www.scopus.com/inward/record.url?scp=84872065903&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872065903&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0972741216
SN - 9780972741217
SP - 2016
EP - 2029
BT - Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005
ER -