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<title-group><doi>038</doi>
<article-title>Rapid and Autonomous Optical Characterization of Tool Diameter and Cutting Edge Radius on Micro End Mills</article-title>
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<author>Justin D. Morrow<sup>2</sup>, William Jen<sup>1</sup>, Nicola J. Ferrier<sup>3</sup> and Frank E. Pfefferkorn<sup>1,2</sup>  </author>

<aff><sup>1</sup>Mechanical Engineering Department, University of Wisconsin - Madison, Madison WI  </aff>
<aff><sup>2</sup>Materials Science Program, University of Wisconsin - Madison, Madison WI  </aff>
<aff><sup>3</sup>Argonne National Lab, Math &amp; Computer Science Division, Argonne IL </aff>

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<title>ABSTRACT</title>
<p>A novel metrology method is presented for rapidly and autonomously characterizing the diameter and cutting edge radius of micro end mills using two-step optical imaging and image post-processing. This method is intended to improve on manual micro end mill geometry inspection methods in both measurement speed and repeatability. The two-step approach is used for finding the tool diameter and cutting edge radius values on two-flute 305.8-&#x00B5;m-diameter micro end mills: First, a low magnification and image post-processing step is used to find the tool diameter and cutting edge tip locations. The cutting edge tip locations are then used to perform a second high magnification imaging and image post-processing step to characterize the cutting edge radius values. This metrology system was used to measure a set of micro end mills and resulted in comparable measurements at an 85% reduction in measurement time and better measurement value compared with manual SEM imaging results.  </p><p><italic>Keywords: </italic>Metrology, Micro end mills, Automation. </p>
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