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7. Approximation algorithms for layered manufacturing

Author Agarwal, Pankaj K. Desikan, Pavan K. Institution Duke Univ, Durham, NC, USA

Source Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. p 528-537. Conference Information 11th Annual ACM-SIAM Symposium on Discrete Algorithms. San Francisco, CA, USA. 19000109-19000111.

Abstract An important problem in layered manufacturing is the choice of a good build direction, which influences the quality and the cost of manufacturing the object. We present efficient algorithms for computing a build direction that optimizes the total area of faces that are in contact with supports. For a given convex polytope with n faces and for a parameter epsilon greater than 0, we present an O((n/ epsilon 3)polylog n) algorithm that computes a build direction so that the total area of faces in contact with supports is at most (1 plus epsilon )A*, where A* is the minimum area of contact with supports for all build directions. For non-convex polyhedra, we provide evidence that the lower bound for any algorithm computing the optimal direction might be Omega (n4). We also present a faster algorithm for some special cases. Our technique for convex polyhedra involves computing approximate levels in arrangement of lines with weights. For given parameters omega , epsilon greater than 0, we present an algo rithm that computes a (1 plus epsilon )-approximate weighted omega -level in an arrangement of n weighted lines in time O((n/ epsilon 3) polylog n). (Auth abstract) [References: 28] XX





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