# Welding Techniques and Residual Stresses

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/welding-techniques-and-residual-stresses/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on various welding techniques, including laser welding, gas tungsten arc welding, and electron beam welding. It explores topics such as residual stress measurement, numerical simulation of welding processes, heat transfer and fluid flow during welding, and the effects of welding parameters on microstructure and mechanical properties. Additionally, the cluster delves into the optimization of welding processes and the impact of residual stresses on fatigue performance. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t10834 |
| Works | 104 |

## Topic papers all

Showing 15 of 104.

- [Balling behavior of stainless steel and nickel powder during selective laser melting process](https://scholariq.org/papers/balling-behavior-of-stainless-steel-and-nickel-powder-during-selective-laser/)
- [Corrosion behavior of selective laser melted Ti-6Al-4 V alloy in NaCl solution](https://scholariq.org/papers/corrosion-behavior-of-selective-laser-melted-ti-6al-4-v-alloy-in-nacl-solution/)
- [Distinction in corrosion resistance of selective laser melted Ti-6Al-4V alloy on different planes](https://scholariq.org/papers/distinction-in-corrosion-resistance-of-selective-laser-melted-ti-6al-4v-alloy-on/)
- [A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system](https://scholariq.org/papers/a-review-on-wire-arc-additive-manufacturing-monitoring-control-and-a-framework/)
- [Simulation of laser butt welding of AISI 316L stainless steel sheet using various heat sources and experimental validation](https://scholariq.org/papers/simulation-of-laser-butt-welding-of-aisi-316l-stainless-steel-sheet-using/)
- [Heat Treatment Degrading the Corrosion Resistance of Selective Laser Melted Ti-6Al-4V Alloy](https://scholariq.org/papers/heat-treatment-degrading-the-corrosion-resistance-of-selective-laser-melted-ti/)
- [End-to-end prediction of weld penetration: A deep learning and transfer learning based method](https://scholariq.org/papers/end-to-end-prediction-of-weld-penetration-a-deep-learning-and-transfer-learning/)
- [Effect of rivet and die on self-piercing rivetability of AA6061-T6 and mild steel CR4 of different gauges](https://scholariq.org/papers/effect-of-rivet-and-die-on-self-piercing-rivetability-of-aa6061-t6-and-mild/)
- [Modification of surface characteristics and electrochemical corrosion behavior of laser powder bed fused stainless-steel 316L after laser polishing](https://scholariq.org/papers/modification-of-surface-characteristics-and-electrochemical-corrosion-behavior/)
- [Influence of energy density on energy demand and porosity of 316L stainless steel fabricated by selective laser melting](https://scholariq.org/papers/influence-of-energy-density-on-energy-demand-and-porosity-of-316l-stainless/)
- [Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression](https://scholariq.org/papers/crack-shape-reconstruction-in-eddy-current-testing-using-machine-learning/)
- [Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control](https://scholariq.org/papers/deep-learning-empowered-digital-twin-for-visualized-weld-joint-growth-monitoring/)
- [Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges](https://scholariq.org/papers/process-modeling-in-laser-powder-bed-fusion-towards-defect-detection-and-quality/)
- [Control of 3D weld pool surface](https://scholariq.org/papers/control-of-3d-weld-pool-surface/)
- [A tutorial on deep learning-based data analytics in manufacturing through a welding case study](https://scholariq.org/papers/a-tutorial-on-deep-learning-based-data-analytics-in-manufacturing-through-a/)

## Topic primary papers

Showing 15 of 49.

- [Simulation of laser butt welding of AISI 316L stainless steel sheet using various heat sources and experimental validation](https://scholariq.org/papers/simulation-of-laser-butt-welding-of-aisi-316l-stainless-steel-sheet-using/)
- [End-to-end prediction of weld penetration: A deep learning and transfer learning based method](https://scholariq.org/papers/end-to-end-prediction-of-weld-penetration-a-deep-learning-and-transfer-learning/)
- [Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control](https://scholariq.org/papers/deep-learning-empowered-digital-twin-for-visualized-weld-joint-growth-monitoring/)
- [Control of 3D weld pool surface](https://scholariq.org/papers/control-of-3d-weld-pool-surface/)
- [A tutorial on deep learning-based data analytics in manufacturing through a welding case study](https://scholariq.org/papers/a-tutorial-on-deep-learning-based-data-analytics-in-manufacturing-through-a/)
- [Intelligent modeling for estimating weld bead width and depth of penetration from infra-red thermal images of the weld pool](https://scholariq.org/papers/intelligent-modeling-for-estimating-weld-bead-width-and-depth-of-penetration/)
- [Burn-through prediction and weld depth estimation by deep learning model monitoring the molten pool in gas metal arc welding with gap fluctuation](https://scholariq.org/papers/burn-through-prediction-and-weld-depth-estimation-by-deep-learning-model/)
- [Numerical simulation of GMAW process using Ar and an Ar–CO2 gas mixture](https://scholariq.org/papers/numerical-simulation-of-gmaw-process-using-ar-and-an-ar-co2-gas-mixture/)
- [Optimization of hybrid laser – TIG welding of 316LN steel using response surface methodology (RSM)](https://scholariq.org/papers/optimization-of-hybrid-laser-tig-welding-of-316ln-steel-using-response-surface/)
- [Adaptive Intelligent Welding Manufacturing](https://scholariq.org/papers/adaptive-intelligent-welding-manufacturing/)
- [Detecting dynamic development of weld pool using machine learning from innovative composite images for adaptive welding](https://scholariq.org/papers/detecting-dynamic-development-of-weld-pool-using-machine-learning-from/)
- [Numerical simulation of metal transfer in argon gas-shielded GMAW](https://scholariq.org/papers/numerical-simulation-of-metal-transfer-in-argon-gas-shielded-gmaw/)
- [Numerical analysis of the heat source characteristics of a two-electrode TIG arc](https://scholariq.org/papers/numerical-analysis-of-the-heat-source-characteristics-of-a-two-electrode-tig-arc/)
- [Analysis of heat transfer and material flow in hybrid KPAW-GMAW process based on the novel three dimensional CFD simulation](https://scholariq.org/papers/analysis-of-heat-transfer-and-material-flow-in-hybrid-kpaw-gmaw-process-based-on/)
- [Magnetic Control of Arc Plasma and its Modelling](https://scholariq.org/papers/magnetic-control-of-arc-plasma-and-its-modelling/)

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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.