Prediction of Metal Additively Manufactured Bead Geometry Using Deep Neural Network
Additive Manufacturing (AM) is a pivotal technology for transforming complex geometries with minimal tooling requirements. Among the several AM techniques, Wire Arc Additive Manufacturing (WAAM) is notable for its ability to produce large metal components, which makes it particularly appealing in th...
Saved in:
| Main Authors: | Min Seop So, Mohammad Mahruf Mahdi, Duck Bong Kim, Jong-Ho Shin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/19/6250 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancement of Additive Manufacturing Processes for Thin-Walled Part Production Using Gas Metal Arc Welding (GMAW) with Wavelet Transform
by: Abolfazl Foorginejad, et al.
Published: (2024-10-01) -
Study of weld bead geometry for GMAW additive manufacturing of duplex stainless steel
by: Wang Huifeng, et al.
Published: (2025-01-01) -
Thermal Monitoring for Metallic Additive Manufacturing Multi-Beads Multi-Layers Parts
by: Matthieu Rauch, et al.
Published: (2021-07-01) -
Out-Of-Position Bead Geometry Prediction in Wire Arc Additive Manufacturing (WAAM) Using Fuzzy Logic-Based System
by: Abdulrazaq Mustafa Mohammed, et al.
Published: (2025-03-01) -
Research on Microstructure and Mechanical Properties of Ultrasonic-Assisted Gas Metal Arc Welding Additive Manufacturing with High-Nitrogen Steel Welding Wire
by: Jiawen Luo, et al.
Published: (2025-04-01)