Table of Contents
International Journal of Manufacturing Engineering
Volume 2014, Article ID 356256, 9 pages
http://dx.doi.org/10.1155/2014/356256
Research Article

Knowledge Management for Topological Optimization Integration in Additive Manufacturing

CAD/CAE Research Centre DINCCS of MICADO, 08 005 Charleville-Mézières, France

Received 15 September 2013; Accepted 28 November 2013; Published 17 February 2014

Academic Editors: J.-Y. Hascoet and T. R. Kurfess

Copyright © 2014 Nicolas Gardan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Engineering design optimization of mechanical structures is nowadays essential in the mechanical industry (automotive, aeronautics, etc.). To remain competitive in the globalized world, it is necessary to create and design structures that, in addition to complying specific mechanical performance, should be less expensive. Engineers must then design parts or assemblies that are a better compromise between mechanical and functional performance, weight, manufacturing costs, and so forth. In this context Additive Manufacturing (AM) process offers the possibility to avoid tools and manufacture directly the part. There are numerous technologies which are using different kind of material. For each of these, there are at least two materials: the production material and the support one. Support material is, in most cases, cleaned and becomes a manufacturing residue. Improving the material volume and the global mass of the product is an essential aim surrounding the integration of simulation in additive manufacturing process. Moreover, the layer-by-layer technology of additive manufacturing allows the design of innovative objects, and the use of topological optimization in this context can create a very interesting combination. The purpose of our paper is to present the knowledge management of an AM trade oriented tool which integrated the topological optimization of parts and internal patterns.