TY - GEN
T1 - A fuzzy knowledge-based system for predicting surface roughness in finish turning
AU - Fei, J.
AU - Jawahir, I. S.
PY - 1992
Y1 - 1992
N2 - A search for a non-deterministic means for predicting the achievable levels of surface roughness in finish turning operations was initiated and this initiative has resulted in a fuzzy knowledge-based system, which can precisely predict the achievable surface roughness levels. The authors outline the complex nature of the finish turning problem, justifying the need for such a predictive system, and present a new methodology for predicting surface roughness values for a given set of cutting conditions, work materials, tool insert types, and tool geometries.
AB - A search for a non-deterministic means for predicting the achievable levels of surface roughness in finish turning operations was initiated and this initiative has resulted in a fuzzy knowledge-based system, which can precisely predict the achievable surface roughness levels. The authors outline the complex nature of the finish turning problem, justifying the need for such a predictive system, and present a new methodology for predicting surface roughness values for a given set of cutting conditions, work materials, tool insert types, and tool geometries.
UR - http://www.scopus.com/inward/record.url?scp=0026977765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026977765&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026977765
SN - 0780302362
T3 - 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
SP - 899
EP - 906
BT - 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
T2 - 1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
Y2 - 8 March 1992 through 12 March 1992
ER -