Baraldo, Stefano and Roncoroni, Alessandro and Palo, Filippo and Valente, Anna (2022) Multi-physics based methodology for evaluating powder feeding quality for Laser Metal Deposition. In: UNSPECIFIED.
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Abstract
Powder based Laser Metal Deposition (LMD) is an additive manufacturing technology that offers great advantages to the production of high added value products, like the possibility to manufacture in one whole piece parts with very complex geometries, or to repair existing ones. One of the critical elements of this technology is the powder feeding system, which, depending on its specific design, can provide powder flows that are more or less stable, thus heavily affecting the homogeneity of deposited tracks and, ultimately, of final part quality. In this work, we propose a methodology for assessing the fitness of a powder feeder for a LMD system. The assessment is based on deposition quality maps, which provide a reference for predicting the waviness of a deposited track in function of powder flow oscillation frequency and amplitude. Such maps are generated by performing multi-physics simulations of straight deposition tracks and evaluating their level of regularity. The simulation model is calibrated by a preliminary experimental campaign and can be used further on to assess the effects that any flow frequency-amplitude couple has on deposition quality, without the need to perform new deposition experiments for assessing a new powder feeder. The methodology is demonstrated by calibrating the simulation model for a commercial LMD machine loaded with Inconel 718 powders.
Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
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Additional Information: | Leading manufacturing systems transformation – Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 |
Uncontrolled Keywords: | laser metal deposition, directed energy deposition, multi-physics simulation, powder feeding |
Subjects: | Engineering > Electronic & electrical engineering > Control systems > Instrumentation control Engineering > Production & manufacturing engineering > Manufacturing systems engineering > Production processes |
Department/unit: | Dipartimento tecnologie innovative > Istituto sistemi e tecnologie per la produzione sostenibile |
Depositing User: | Tommaso Bernasconi |
Date Deposited: | 28 Feb 2023 05:42 |
Last Modified: | 28 Feb 2023 05:44 |
URI: | http://repository.supsi.ch/id/eprint/13812 |
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