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Machine simulation of additive manufacturing tool path

Authors: Zivanović, S.; Vorkapic, N.; Mitrovic, S.;

Machine simulation of additive manufacturing tool path

Abstract

The application of new additive technologies is based on models STL models of prototypes that will be build. This paper discusses two additive technologies: Fused Deposition Modeling – FDM and Laser Metal Directed Energy Deposition – Laser DED in terms of program preparation and its verification by simulation of material addition, i.e. machine simulation for these procedures. The paper presents the programming and program verification using machine simulation of additive manufacturing tool path in CAD/CAM and Vericut environment. A procedure for configuring and preparing of a virtual machine for several additive process simulations has been proposed. Simulation is a key technology for program verification. Machine simulation and digital twin are the primary simulation–based approaches in the context of the Industry 4.0. The paper analyzes the available programming software for generating G code from the STL file as well as the possibility of simulating the virtual machine when working according to the generated program.

This paper was presented at The 10th International Scientific Conference – IRMES 2022 – “Machine design in the context of Industry 4.0 – Intelligent products”, organized under the auspices of the Association for Design, Elements and Constructions (ADEKO), by the University of Belgrade, Faculty of Mechanical Engineering, Department of General Machine Design, on 26 May 2022, Belgrade (SERBIA)

Country
Serbia
Keywords

machine simulation, additive manufacturing, CAD/CAM

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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