Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2159
This item is licensed with a CreativeCommons licence https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher DOI: 10.1016/j.procir.2018.08.070
Title: Evolutionary-based optimization strategy in a hybrid manufactured process using LMD
Language: English
Authors: Ewald, Ake 
Sassenberg, Torben 
Schlattmann, Josef 
Keywords: hybrid manufacturing;laser metal deposition;evolutionary algorthm;additive manufacturing
Issue Date: 2018
Publisher: Elsevier
Source: Procedia CIRP (74): 163-167 (2018)
Journal or Series Name: Procedia CIRP 
Conference: 10th CIRP Conference on Photonic Technologies [LANE 2018] 
Abstract (english): We investigate a hybrid manufacturing strategy combining laser metal deposition (LMD), and milling or turning. LMD is an additive manufacturing process, which can be used for surface cladding, repair, and 3D build-up of parts. One of its advantages is the creation of near net-shape parts on variable ground geometries. The strategy focusses on manufacturing a part by choosing the appropriate wrought material with the remaining volume being added by LMD to minimize used resources and manufacturing time. This is done by adapting an evolutionary algorithm that varies the size, orientation, and position of wrought material with respect to the remaining volume.
URI: http://hdl.handle.net/11420/2245
DOI: 10.15480/882.2159
ISSN: 2212-8271
Institute: Laser- und Anlagensystemtechnik G-2 
Type: (wissenschaftlicher) Artikel
Appears in Collections:Publications (tub.dok)

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