# Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-the-depth-of-penetration-and-weld-bead-width-from-the-infra-red/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Chokkalingham,N. Chandrasekhar,M. Vasudevan |
| Citations | 101 |
| DOI | 10.1007/s10845-011-0526-4 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2043826792 |
| Type | article |
| Year | 2011 |

## Paper authors

- [N. Chandrasekhar](https://scholariq.org/researchers/n-chandrasekhar/)

## Paper journal

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

## Paper primary topic

- [Thermography and Photoacoustic Techniques](https://scholariq.org/topics/thermography-and-photoacoustic-techniques/)

## Paper topics

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)
- [Thermography and Photoacoustic Techniques](https://scholariq.org/topics/thermography-and-photoacoustic-techniques/)
- [Infrared Target Detection Methodologies](https://scholariq.org/topics/infrared-target-detection-methodologies/)

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