Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation: Sequence Strategy Generation

Maialen Murua, Alfredo Suarez, Diego Galar, Roberto Santana

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)
1 Descargas (Pure)

Resumen

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.
Idioma originalInglés
Número de artículo9093820
Páginas (desde-hasta)91574-91585
Número de páginas12
PublicaciónIEEE Access
Volumen8
DOI
EstadoPublicada - may 2020

Palabras clave

  • Additive manufacturing
  • Direct energy deposition
  • Multi-objective optimization
  • Tool-path generation

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/822064/EU/A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems/MARKET4.0
  • Funding Info
  • This work was supported in part by the Project HARITIVE under Grant HAZITEK 2017 and in part by the Project ADDISEND under Grant ELKARTEK 2018 through Basque Government, and in part by the European Union Horizon 2020 Research and Innovation Programme under Grant 822064. The work of Roberto Santana was supported in part by IT-1244-19, in part by the ELKARTEK Programmes through Basque Government, and in part by the Spanish Ministry of Economy, Industry and Competitiveness under Grant TIN2016-78365-R.

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