M. Jiang et R. Komanduri, APPLICATION OF TAGUCHI METHOD FOR OPTIMIZATION OF FINISHING CONDITIONS IN MAGNETIC FLOAT POLISHING (MFP), Wear, 213(1-2), 1997, pp. 59-71
Magnetic float polishing (MFP) technique is used in the finishing of a
dvanced ceramics, namely, silicon nitride (S3N4) balls for hybrid bear
ing applications. In this paper, Taguchi method [Genichi Taguchi, Tagu
chi Methods-Research and Development, ASI Press, Dearborn, MI (1992);
K.E. Dehnad, Quality Control, Robust Design, and the Taguchi Method, B
rooks/Cole, CA (1989)] is applied for optimization of the finishing co
nditions. Surface finish parameters, namely, Ra (arithmetic average) a
nd Rt (peak-to-valley height) are considered as criteria for optimizat
ion. Important parameters identified that influence the surface qualit
y generated during final mechanical polishing for a given workmaterial
with a given abrasive (material and grain size) are (i) the polishing
force; (ii) the abrasive concentration; and (iii) the polishing speed
. Experimental results indicate that for the surface finish, both Ra a
nd Rt, the polishing force parameter is the most significant. However,
for the surface finish Ra, the polishing force parameter is the most
significant, followed by polishing speed and then the abrasive concent
ration; while for the surface finish Rt, the polishing force parameter
is the most significant followed by the abrasive concentration and th
en the polishing speed. The experimental results also indicate that wi
thin the range of parameters evaluated, a high level of polishing forc
e, a low level of abrasive concentration, and a high level of polishin
g speed are desirable for improving both Ra and Rt. A comparison of th
e results obtained by the Taguchi method with single parameter (i.e.,
one parameter by one parameter) variation using a fine SiC abrasive (1
mu m) yielded similar conclusions regarding optimum conditions [M. Ji
ang, Finishing of Advanced Ceramics, PhD thesis (under preparation), M
echanical and Aerospace Engineering, Oklahoma State University (1997)]
. However, Taguchi method can extract information more precisely and m
ore effectively. (C) 1997 Elsevier Science S.A.