Peridynamic Framework to Model Additive Manufacturing Processes

Abstract The study presents a framework for analyzing Additive Manufacturing processes within the Peridynamics (PD) software PeriLab . This framewor k employs a mesh‐free, point‐based numerical approach to approximate the continuum PD equations. Implemented within this framework are thermal, thermo‐mechanical, and simple additive models. These models have been validated against analytical solutions, Finite Element (FE) models, and Peridigm simulations. To leverage the PD mesh‐free implementation, the study introduces a novel boundary detection algorithm. This algorithm is essential because the outer surface area may change during the manufacturing process. It operates without requiring surface or topology information, relying instead on the comparison of neighborhood volume to sphere volume. Additionally, the study introduces a wrapper that generates the mesh necessary for simulating the printing process, based on the G‐code machine input path. Finally, the study presents a comprehensive analysis of an L‐shaped profile utilizing the developed features, comparing the results with those obtained from an Abaqus solution.

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Publication Details

Journal
Advanced Theory and Simulations
Published
2024-11-08
DOI
https://doi.org/10.1002/adts.202400818
Citations
1
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.27

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article

Peridynamic Framework to Model Additive Manufacturing Processes

Felix Winkelmann, Robert Hein, Christian Willberg, Jan‐Timo Hesse
1 citations
Advanced Theory and Simulations
Numerical methods in engineering
0.27
article

Peridynamic Framework to Model Additive Manufacturing Processes

Felix Winkelmann, Robert Hein, Christian Willberg, Jan‐Timo Hesse
article en
1 citations

Abstract

Abstract The study presents a framework for analyzing Additive Manufacturing processes within the Peridynamics (PD) software PeriLab . This framewor k employs a mesh‐free, point‐based numerical approach to approximate the continuum PD equations. Implemented within this framework are thermal, thermo‐mechanical, and simple additive models. These models have been validated against analytical solutions, Finite Element (FE) models, and Peridigm simulations. To leverage the PD mesh‐free implementation, the study introduces a novel boundary detection algorithm. This algorithm is essential because the outer surface area may change during the manufacturing process. It operates without requiring surface or topology information, relying instead on the comparison of neighborhood volume to sphere volume. Additionally, the study introduces a wrapper that generates the mesh necessary for simulating the printing process, based on the G‐code machine input path. Finally, the study presents a comprehensive analysis of an L‐shaped profile utilizing the developed features, comparing the results with those obtained from an Abaqus solution.

Advanced Theory and SimulationsVol. 8(2)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Hochschule Magdeburg-Stendal (DE)
Deutsche Forschungsgemeinschaft, Sächsisches Staatsministerium für Wissenschaft und Kunst
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Numerical methods in engineering
0.27
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Peridynamic Framework to Model Additive Manufacturing Processes — Felix Winkelmann, Robert Hein, et al. · Advanced Theory and Simulations (2024) | TGRS Research Map | TGRS