12th International Congress on Machining, Antalya, Türkiye, 1 - 03 Kasım 2024, cilt.1, ss.46-54
It is known that performing the roller
burnishing (RB) process in dry or wet conditions has negative effects on
process outputs and sustainability. Therefore, the importance of using the
minimum quantity lubrication (MQL) method is increasing. In this study,
nano-molybdenum disulfide (MoS2) doped nanofluid-assisted MQL (MoS2-NMQL),
nano-graphene (nGP) doped nanofluid-assisted MQL (nGP-NMQL) and MoS2/nGP
doped hybrid nanofluid-assisted MQL (HNMQL) burnishing conditions were used for
the first time in the RB of AISI H11 steel and RB performance was investigated
in terms of burnishing power and surface roughness improvement. Then, optimization
was performed to minimize power consumption and maximize surface roughness
improvement using NSGA-II and CoCoSo methods. Compared to the dry condition,
using the HNMQL condition reduced the burnishing power and increased the
surface roughness by 2.8% and 16.3%, respectively. Using the HNMQL condition, a
burnishing speed value of 250 rpm, feed values between 0.075-0.084 mm/rev and
depth of burnishing values between 0.391-0.412 mm provided optimum results in
terms of power consumption and surface roughness improvement.