2011
DOI: 10.1117/12.905491
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Fluid jet and bonnet polishing of optical moulds for application from visible to x-ray

Abstract: Electroless Nickel (ENi) and binderless Tungsten Carbide (WC) are materials widely used in industry to make replication moulds for precision optics, with applications ranging from consumer camera lenses to high accuracy X-ray mirrors. The aspheric shape generation is generally performed by diamond turning in the case of Nickel, and microgrinding in the case of Tungsten Carbide. However, both machining methods fall short from meeting the ultra-precision criteria required by an increasing number of applications,… Show more

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Cited by 12 publications
(3 citation statements)
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“…The fluid jet polishing process consists of pressurized water and abrasive particles mixed and delivered through a nozzle [9]. Typical operating pressures range from 4 to 20bar, while typical abrasives range from 0.1 to 100um.…”
Section: Background Informationmentioning
confidence: 99%
“…The fluid jet polishing process consists of pressurized water and abrasive particles mixed and delivered through a nozzle [9]. Typical operating pressures range from 4 to 20bar, while typical abrasives range from 0.1 to 100um.…”
Section: Background Informationmentioning
confidence: 99%
“…Consequently, these "worn" slurries are disposed and a "fresh" batch is prepared. Due to the industry growth [3] and diversification [4,5], effluent volume from optical polishing increases and it needs to be disposed responsibly.…”
Section: Introductionmentioning
confidence: 99%
“…In general, the shaping of WC molds is achieved through the utilization of the grinding process. To further improve the surface quality of the WC mold further, numerous optical surface polishing techniques have been developed, including diamond abrasive polishing [8], vibration assisted polishing [9,10], bonnet polishing [11]. These techniques have been the subject of extensive research, encompassing investigations into the polishing mechanisms, material removal models, and in uential factors, and the root mean square roughness can be reduced to nanoscale precision.…”
Section: Introductionmentioning
confidence: 99%