TY - JOUR
T1 - An investigation of the high-frequency ultrasonic vibration-assisted cutting of steel optical moulds
AU - Zhang, Canbin
AU - Cheung, Chifai
AU - Bulla, Benjamin
AU - Zhao, Chenyang
N1 - Funding Information:
Acknowledgments: The authors would like to express their sincere thanks for the financial support from the Research Office (project code: RK2Z) from The Hong Kong Polytechnic University. Special thanks are also due to the contract research project between the State Key Laboratory of Ultraprecision Machining Technology of The Hong Kong Polytechnic University and Son-X, Gmbh, Aachen, Germany.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/4
Y1 - 2021/4
N2 - Ultrasonic vibration-assisted cutting (UVAC) has been regarded as a promising technology to machine difficult-to-machine materials such as tungsten carbide, optical glass, and hardened steel in order to achieve superfinished surfaces. To increase vibration stability to achieve optical surface quality of a workpiece, a high-frequency ultrasonic vibration-assisted cutting system with a vibration frequency of about 104 kHz is used to machine spherical optical steel moulds. A series of experiments are conducted to investigate the effect of machining parameters on the surface roughness of the workpiece including nominal cutting speed, feed rate, tool nose radius, vibration amplitude, and cutting geometry. This research takes into account the effects of the constantly changing contact point on the tool edge with the workpiece induced by the cutting geometry when machining a spherical steel mould. The surface morphology and surface roughness at different regions on the machined mould, with slope degrees (SDs) of 0°, 5°, 10°, and 15°, were measured and analysed. The experimental results show that the arithmetic roughness Sa of the workpiece increases gradually with increasing slope degree. By using optimised cutting parameters, a constant surface roughness Sa of 3 nm to 4 nm at different slope degrees was achieved by the applied high-frequency UVAC technique. This study provides guidance for ultra-precision machining of steel moulds with great variation in slope degree in the pursuit of optical quality on the whole surface.
AB - Ultrasonic vibration-assisted cutting (UVAC) has been regarded as a promising technology to machine difficult-to-machine materials such as tungsten carbide, optical glass, and hardened steel in order to achieve superfinished surfaces. To increase vibration stability to achieve optical surface quality of a workpiece, a high-frequency ultrasonic vibration-assisted cutting system with a vibration frequency of about 104 kHz is used to machine spherical optical steel moulds. A series of experiments are conducted to investigate the effect of machining parameters on the surface roughness of the workpiece including nominal cutting speed, feed rate, tool nose radius, vibration amplitude, and cutting geometry. This research takes into account the effects of the constantly changing contact point on the tool edge with the workpiece induced by the cutting geometry when machining a spherical steel mould. The surface morphology and surface roughness at different regions on the machined mould, with slope degrees (SDs) of 0°, 5°, 10°, and 15°, were measured and analysed. The experimental results show that the arithmetic roughness Sa of the workpiece increases gradually with increasing slope degree. By using optimised cutting parameters, a constant surface roughness Sa of 3 nm to 4 nm at different slope degrees was achieved by the applied high-frequency UVAC technique. This study provides guidance for ultra-precision machining of steel moulds with great variation in slope degree in the pursuit of optical quality on the whole surface.
KW - Difficult-to-machine material
KW - High frequency
KW - Spherical steel mould
KW - Ultra-precision machining
KW - Ultrasonic-assisted vibration cutting
UR - http://www.scopus.com/inward/record.url?scp=85105394357&partnerID=8YFLogxK
U2 - 10.3390/mi12040460
DO - 10.3390/mi12040460
M3 - Journal article
AN - SCOPUS:85105394357
SN - 2072-666X
VL - 12
JO - Micromachines
JF - Micromachines
IS - 4
M1 - 460
ER -