Finite element modeling of machining nickel superalloy produced by direct energy deposition process

Francesco Careri, Stano Imbrogno, Moataz M. Attallah, Khamis Essa, Domenico Umbrello*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)
162 Downloads (Pure)

Abstract

Direct Energy Deposition (DLD) is a generative manufacturing method for metals and it is usually employed to build near-net-shape components starting from powder, through a layer-by-layer production strategy. This process provides an opportunity to fabricate complex shaped and functionally parts mainly used in high performance engineering areas, such as aerospace and automotive industry. However, the metal parts produced frequently do not satisfy the tolerances as well as the surface quality, therefore the post-process finishing operations as machining are normally considered as a valid solution to satisfy the geometrical requirements. During the design phase, the finite element simulation results a fundamental tool to help the engineers in the correct decision of the most suitable process parameters, especially in manufacturing processes, in order to produce products of high quality. The aim of this work is to develop a 3D finite element model of turning operation of Nickel Superalloy Inconel718, produced via Direct Energy Deposition (DLD). A customized user sub-routine was built-up in order to model the mechanical behavior under machining operations of as deposited condition to predict the main fundamental variables as cutting forces and temperature.

Original languageEnglish
Pages (from-to)525-529
Number of pages5
JournalProcedia Manufacturing
Volume47
DOIs
Publication statusPublished - 26 Apr 2020
Event23rd International Conference on Material Forming, ESAFORM 2020 - Cottbus, Germany
Duration: 4 May 2020 → …

Keywords

  • Additive Manufacturing
  • Finite Element Model
  • Machining
  • Nickel Superalloy

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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