Technological simulation of the resulting bead geometry in the WAAM process using a machine learning model

verfasst von: B. Denkena, M. Wichmann, V. Boß, T. Malek
Abstract: In contrast to most subtractive processes where a specific tool geometry is available, process planning in the CAD/CAM chain of additive manufacturing is not as accurate unless the deposited geometry is known. Therefore, a dexel-based process simulation for wire and arc additive manufacturing is implemented to predict the resulting geometry of the deposited material depending on the process parameters. In order to make accurate predictions and consider the effects of the process parameters on the geometry, a multi-stage model is developed for three different materials. The results of this prediction pipeline show an R of 0.82 for the width and 0.76 for the height. Finally, the simulation method is evaluated in terms of computational effort, and the ratio of simulation time to process time is found to be reasonable for simulation-based process planning.
Organisationseinheit(en): Institut für Fertigungstechnik und Werkzeugmaschinen
PhoenixD: Simulation, Fabrikation und Anwendung optischer Systeme
Typ: Konferenzaufsatz in Fachzeitschrift
Journal: Procedia CIRP
Band: 126
Seiten: 627-632
Anzahl der Seiten: 6
ISSN: 2212-8271
Publikationsdatum: 2024
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Steuerungs- und Systemtechnik, Wirtschaftsingenieurwesen und Fertigungstechnik
Elektronische Version(en): https://doi.org/10.1016/j.procir.2024.08.269 (Zugang: Offen)

BibTeX

@article{f1dc6d50ea514b50851f079aae150644,
title = "Technological simulation of the resulting bead geometry in the WAAM process using a machine learning model",
abstract = "In contrast to most subtractive processes where a specific tool geometry is available, process planning in the CAD/CAM chain of additive manufacturing is not as accurate unless the deposited geometry is known. Therefore, a dexel-based process simulation for wire and arc additive manufacturing is implemented to predict the resulting geometry of the deposited material depending on the process parameters. In order to make accurate predictions and consider the effects of the process parameters on the geometry, a multi-stage model is developed for three different materials. The results of this prediction pipeline show an R of 0.82 for the width and 0.76 for the height. Finally, the simulation method is evaluated in terms of computational effort, and the ratio of simulation time to process time is found to be reasonable for simulation-based process planning.",
keywords = "Additive manufacturing, Planning, Simulation, Welding",
author = "B. Denkena and M. Wichmann and V. Bo{\ss} and T. Malek",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier B.V.. All rights reserved.; 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023 ; Conference date: 12-07-2023 Through 14-07-2023",
year = "2024",
doi = "10.1016/j.procir.2024.08.269",
language = "English",
volume = "126",
pages = "627--632",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier BV",
}