@article {18800, title = {A Geometric Algorithm for Finding the Largest Milling Cutter}, volume = {ISR; TR 2000-40}, year = {2000}, month = {2000///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {In this paper, we describe a new geometric algorithm to determine the largest feasible cutter size for2-D milling operations to be performed using a single cutter. In particular:

1. We give a general definition of the problem as the task of covering a target region without interfering with anobstruction region. This definition encompasses the task of milling a general 2-D profile that includes bothopen and closed edges.

2. We discuss three alternative definitions of what it means for a cutter to be feasible, and explain which of thesedefinitions is most appropriate for the above problem.

3. We present a geometric algorithm for finding the maximal cutter for 2-D milling operations, and we show thatour algorithm is correct.}, keywords = {algorithms, computational geometry, computer aided manufacturing CAM, cutter selection, Manufacturing, Next-Generation Product Realization Systems, path planning}, url = {http://drum.lib.umd.edu//handle/1903/6137}, author = {Yao,Zhiyang and Gupta, Satyandra K. and Nau, Dana S.} }