Details
| Original language | English |
|---|---|
| Pages (from-to) | 627-632 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 126 |
| Early online date | 9 Oct 2024 |
| Publication status | Published - 2024 |
| Event | 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023 - Naples, Italy Duration: 12 Jul 2023 → 14 Jul 2023 |
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
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Procedia CIRP, Vol. 126, 2024, p. 627-632.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Technological simulation of the resulting bead geometry in the WAAM process using a machine learning model
AU - Denkena, B.
AU - Wichmann, M.
AU - Boß, V.
AU - Malek, T.
N1 - Publisher Copyright: © 2024 Elsevier B.V.. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Additive manufacturing
KW - Planning
KW - Simulation
KW - Welding
UR - http://www.scopus.com/inward/record.url?scp=85208544460&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2024.08.269
DO - 10.1016/j.procir.2024.08.269
M3 - Conference article
AN - SCOPUS:85208544460
VL - 126
SP - 627
EP - 632
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023
Y2 - 12 July 2023 through 14 July 2023
ER -