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Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. TECNALIA, Basque Research and Technology Alliance (BRTA), 50018 Zaragoza, Spain.ORCID iD: 0000-0002-4107-0991
Computer Science and Artificial Intelligence Department, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastián, Spain.
2020 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 91574-91585Article in journal (Refereed) Published
Abstract [en]

The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, so the selection of optimal tool-paths is critical. This research analyzes the tool-path problem in the direct energy deposition technology; it introduces the main processes, and analyzes the characteristics of tool-path problem. It explains the approaches applied in the literature to solve the problem; as these are mainly geometric approximations, they are far from optimal. Based on this analysis, this paper introduces a mathematical framework for direct energy deposition and a novel problem called sequence strategy generation. Finally, it solves the problem using a benchmark for several different parts. The results reveal that the approach can be applied to parts with different characteristics, and the solution to the sequence strategy problem can be used to generate tool-paths.

Place, publisher, year, edition, pages
IEEE, 2020. Vol. 8, p. 91574-91585
Keywords [en]
Additive manufacturing, direct energy deposition, multi-objective optimization, tool-path generation
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-79168DOI: 10.1109/ACCESS.2020.2994748ISI: 000538737100006Scopus ID: 2-s2.0-85085554693OAI: oai:DiVA.org:ltu-79168DiVA, id: diva2:1434862
Note

Validerad;2020;Nivå 2;2020-06-04 (alebob)

Available from: 2020-06-04 Created: 2020-06-04 Last updated: 2020-07-01Bibliographically approved

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