# Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-empowered-digital-twin-for-visualized-weld-joint-growth-monitoring/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qiyue Wang,Wenhua Jiao,Yuming Zhang |
| Citations | 133 |
| DOI | 10.1016/j.jmsy.2020.10.002 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3099559766 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Qiyue Wang](https://scholariq.org/researchers/qiyue-wang/)
- [Wenhua Jiao](https://scholariq.org/researchers/wenhua-jiao/)
- [Yuming Zhang](https://scholariq.org/researchers/yuming-zhang/)

## Paper journal

- [Journal of Manufacturing Systems](https://scholariq.org/journals/journal-of-manufacturing-systems/)

## Paper primary topic

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)

## Paper topics

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)
- [Additive Manufacturing Materials and Processes](https://scholariq.org/topics/additive-manufacturing-materials-and-processes/)
- [Advanced Machining and Optimization Techniques](https://scholariq.org/topics/advanced-machining-and-optimization-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.