TY - GEN
T1 - Optimization of multiple performance characteristics in the wire EDM process of AISI D2 tool steel using Taguchi and fuzzy logic
AU - Soepangkat, Bobby O.P.
AU - Pramujati, Bambang
AU - Lusi, Nuraini
PY - 2013
Y1 - 2013
N2 - In this study, the optimization of material removal rate (MRR) and surface roughness (SR) simultaneously in a WEDM process by using Taguchi method with fuzzy logic has been applied. The Wire EDM process parameters (flushing pressure, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR and SR. Based on the Taguchi method, an L18 mixed-orthogonal array table was chosen for the experiments. Fuzzy reasoning of the multiple performance characteristics has been developed based on fuzzy logic, which then converted into a fuzzy reasoning grade or FRG. As a result, the optimization of complicated multiple performance characteristics was transformed into the optimization of single response performance index. Experimental results have shown that machining performance characteristics of Wire EDM process can be improved effectively through the combination of Taguchi method and fuzzy logic.
AB - In this study, the optimization of material removal rate (MRR) and surface roughness (SR) simultaneously in a WEDM process by using Taguchi method with fuzzy logic has been applied. The Wire EDM process parameters (flushing pressure, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR and SR. Based on the Taguchi method, an L18 mixed-orthogonal array table was chosen for the experiments. Fuzzy reasoning of the multiple performance characteristics has been developed based on fuzzy logic, which then converted into a fuzzy reasoning grade or FRG. As a result, the optimization of complicated multiple performance characteristics was transformed into the optimization of single response performance index. Experimental results have shown that machining performance characteristics of Wire EDM process can be improved effectively through the combination of Taguchi method and fuzzy logic.
KW - AISI D2
KW - Fuzzy logic
KW - Material removal rate
KW - Surface roughness
KW - Taguchi
KW - Wire EDM
UR - https://www.scopus.com/pages/publications/84886305656
U2 - 10.4028/www.scientific.net/AMR.789.320
DO - 10.4028/www.scientific.net/AMR.789.320
M3 - Conference contribution
AN - SCOPUS:84886305656
SN - 9783037857571
T3 - Advanced Materials Research
SP - 320
EP - 323
BT - Advances in Materials, Processing and Manufacturing
T2 - 13th International Conference on Quality in Research, QiR 2013
Y2 - 25 June 2013 through 28 June 2013
ER -