ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
In this paper, a framework of surface generation model in the fast tool servo (FTS)machining of optical microstructures will be described. The integrated model is totally composed ofa tool path generator (TPG), a surface topography model (STM) and an optimization model (OM).To develop the tool path generator, two parts should be involved. The first part is the tool pathgenerated based on cutting conditions such as the feed rate and spindle speed, the geometry ofoptical microstructures, and diamond tool geometry. Another part is the synchronized motiongenerated by the tool actuation of the FTS at a bandwidth higher than the rotational frequency of thespindle. The surface topography model will be generated based on the TPG and used to predict thetechnological aspects of FTS machining. It takes into the account the kinematic and dynamiccharacteristics of the cutting process. The former includes the tool path generated by the tool pathgenerator. The later includes the relative vibration between the tool and the workpiece caused by theaxial error motion of the spindle as well as the synchronized motion of the FTS system. Theoptimization model will be undertaken by an iterative algorithm, which will be developed based onthe TPG and STM. The OM will be expected to output the verified tool path, the suggestedoptimum cutting conditions, and the diagrams with predicted cutting performance characteristic andprocess parameters being investigated. Eventually, the successful development of this surfacegeneration model can contribute for the knowledge of ultra-precision machining with FTS and thefurther development of the performance of the machining system
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/56/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.364-366.1274.pdf
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