Open research questions in Welding Techniques and Residual Stresses
113 gap statements mined from Welding Techniques and Residual Stresses papers in our 4.5M-paper local library, which holds 1,480 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.
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What the literature leaves open
The study only considers a limited number of process parameters. The study does not investigate the effect of other factors such as heat input and cooling rate on bead geometry.
Machine learning informed additive manufacturing of stainless steel 410 using cold metal transfer-based metal inert gas welding · 2026 · DOIThere is a lack of studies investigating the use of machine learning to predict bead geometry in WAAM. There is a need to develop a framework for predicting and optimizing process-geometry relationships in WAAM.
Machine learning informed additive manufacturing of stainless steel 410 using cold metal transfer-based metal inert gas welding · 2026 · DOIFurther research is needed to investigate the effect of PWHT on the microstructure and toughness of Ti6321 welded joints under different welding conditions. The study suggests that the microstructural evolution from α' to lamellar α/β caused by PWHT can be used to improve the toughness of other titanium alloys.
Effects of post-weld heat treatment on the HAZ of VLBW-fabricated Ti6321 joints: elemental redistribution, microstructural evolution, and mechanical property · 2026 · DOIThe study identifies the lack of understanding of the effect of PWHT on the microstructure and toughness of the HAZ in Ti6321 welded joints. The thermal-mechanical simulation test is used to address this gap.
Effects of post-weld heat treatment on the HAZ of VLBW-fabricated Ti6321 joints: elemental redistribution, microstructural evolution, and mechanical property · 2026 · DOIThe limited understanding of the thermodynamic characteristics of the molten slag at high temperature is a challenge.
Thermodynamic Role of SiO2 in Controlling Weld Metal Composition During Submerged Arc Welding: A Multi-Zone Modeling Approach · 2026 · DOIExisting models have limitations in predicting the weld metal composition, particularly in the high-basicity region. The basicity index model fails to resolve variations in the high-basicity region. Conventional thermodynamic equilibrium approaches consider only the weld pool reaction zone, neglecting reactions in the droplet zone.
Thermodynamic Role of SiO2 in Controlling Weld Metal Composition During Submerged Arc Welding: A Multi-Zone Modeling Approach · 2026 · DOIBalancing the need for result reliability against constraints on material usage and specimen fabrication cost. Mitigating the dimensional artifacts commonly associated with thin plates. Ensuring an optimal balance between computational accuracy and efficiency.
Numerical Simulation of Welding-Induced Deformation and Residual Stress in a 316LN Stainless Steel Butt Joint · 2026 · DOIFuture research directions are as follows: (1) Hardware diversification: Migrate and verify the algorithm on ABB/FANUC robot platforms to analyze the influence of mechanical platform differences on recognition accuracy.
Automatic Recognition Technology of Welding Path for Ship Structures Based on Visual Image Recognition · 2026 · DOIThe lack of understanding of the mechanical and metallographic properties of steel NIOMOL 490K SAW-joint. The need to examine the behavior of welded joints under impact load at low temperatures. The gap in evaluating the fitness-to-service of the welded joint in real operating conditions.
There is a need to optimise the welding process parameters to improve the quality of welded joints. There is a need to minimise energy consumption while maximising joint strength. The various resistance and pressure welding processes have not been fully optimised.
Application of artificial intelligence methods to determine the optimal process parameters in resistance projection welding of steel nuts · 2026 · DOIThe lack of an effective technique for optimizing laser welding conditions. The difficulty in simulating melting and evaporation phenomena during laser keyhole welding.
The challenges in the research are the instability of the quality indicators of welded joints and the lack of understanding of the relationship between the welding time and the strength of glass-silicon nodes. The challenges also include the limited range of parameters that can be controlled in the experiments.
Designing of glass-silicon nodes of pressure sensors and influnce of their dimentional parameters on fracture resistance · 2026 · DOIThe paper does not provide a comprehensive analysis of the limitations of the solid phase welding method. The experiments are limited to a specific type of glass and silicon.
Designing of glass-silicon nodes of pressure sensors and influnce of their dimentional parameters on fracture resistance · 2026 · DOIThe lack of consideration of the technological process of manufacturing in the design of welded wheels. The need for a model to assess the stress state in welded joints. The limited use of CAD/CAE systems in the optimization of welded structures.
Joule heating and heat dissipation mechanisms are complex phenomena to model. The study requires a deep understanding of the physical phenomena involved in TIG welding. The study needs to account for the effects of convective cooling and thermal conduction.
The study aims to address this gap by analyzing the effects of Joule heating and heat dissipation mechanisms.
Future research should investigate the effects of other electrode types and current levels on specimen performance. The study of other welding techniques and materials could provide further insights into the mechanical properties of welds.
INFLUENCE OF ELECTRODE TYPE ON THE MECHANICAL PROPERTIES OF THE RESULT AISI 1018 STEEL SMAW WELDING · 2026 · DOIThe research aims to address this gap by evaluating the mechanical properties of AISI 1018 steel SMAW welds.
INFLUENCE OF ELECTRODE TYPE ON THE MECHANICAL PROPERTIES OF THE RESULT AISI 1018 STEEL SMAW WELDING · 2026 · DOIThe capabilities of the welding machine limited the maximum welding power and the minimum welding time. The maximum pressure was limited by the electrode pressure control equipment.
Application of artificial intelligence methods to determine the optimal process parameters in resistance projection welding of steel nuts · 2026 · DOIThe study identifies a gap in the development of high-fidelity models for welding processes. The study identifies a gap in the integration of multiphysics and multiscale approaches. The study identifies a gap in the incorporation of artificial intelligence for process optimization.
A Review on CFD Simulation Techniques and Their Applications in Welding Processes Using FLOW-3D · 2026 · DOIThe paper identifies a gap in the understanding of the effects of SF6 on the welding process. The study aims to contribute to the development of more efficient and effective welding technologies.
The initial root gap was not explicitly incorporated into the numerical model, - Inter-pass temperatures and total heat input in the physical welding process may differ from those prescribed in the simulation, - The study only considers a 15 mm thick butt-welded joint fabricated from 316LN stainless…
Numerical Simulation of Welding-Induced Deformation and Residual Stress in a 316LN Stainless Steel Butt Joint · 2026 · DOITo further improve the accuracy of the technique. To apply the technique to other types of welding processes. To develop a more efficient and cost-effective technique.
The experimental validation of the model. The application of the model to other types of welded structures. The development of more advanced models that consider additional factors.
Further investigation of the effects of other welding parameters on joint strength. Extension of the machine learning framework to other welding processes and materials. Development of more advanced predictive models for forecasting weld performance.
MACHINE-LEARNING-ASSISTED OPTIMIZATION OF DIS-SIMILAR STAINLESS STEEL RESISTANCE SPOT WELDING PARAMETERS FOR ENHANCED JOINT STRENGTH · 2026 · DOI
Most-cited papers in Welding Techniques and Residual Stresses
- Recent progress of residual stress measurement methods: A review · Chinese Journal of Aeronautics · 2021 · 372 citations
- A review on dissimilar laser welding of steel-copper, steel-aluminum, aluminum-copper, and steel-nickel for electric vehicle battery manufacturing · Optics & Laser Technology · 2021 · 279 citations
- Machine learning assisted composition effective design for precipitation strengthened copper alloys · Acta Materialia · 2021 · 261 citations
- Residual Stress in Engineering Materials: A Review · Advanced Engineering Materials · 2021 · 251 citations
- Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery · IEEE Transactions on Industrial Electronics · 2021 · 239 citations
- LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-Ray Image · IEEE Sensors Journal · 2023 · 178 citations
- Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review · Robotics and Computer-Integrated Manufacturing · 2024 · 136 citations
- End-to-end prediction of weld penetration: A deep learning and transfer learning based method · Journal of Manufacturing Processes · 2021 · 135 citations
- Softening mechanism of P91 steel weldments using heat treatments · Archives of Civil and Mechanical Engineering · 2018 · 117 citations
- Tribological performance of gas tungsten arc welded dissimilar joint of sDSS 2507/IN-625 for marine application · Archives of Civil and Mechanical Engineering · 2023 · 84 citations
Most recent work
- Residual stress and distortion in fusion welding and fusion-based additive manufacturing: measurements, mechanisms and control strategies · Progress in Materials Science · 2026
- Toward greener welding manufacturing: real-time CO₂ estimation and weld quality optimization · The International Journal of Advanced Manufacturing Technology · 2026
- Data-driven artificial intelligence methods for real-time welding defect diagnosis: A critical review and future outlook · Journal of Manufacturing Processes · 2026
- Aptness of interlayer arc treatment in WAAM-TIG to improve the mechanical properties of copper · Progress in Additive Manufacturing · 2026
- Review of trajectory planning for humanoid welding robot manipulators: from fundamentals to industrial applications in intelligent manufacturing · Journal of Intelligent Manufacturing · 2026
- A Novel Fusion Attention-Based Lightweight Model for Pipeline Weld Multiscale Defect Detection · IEEE Transactions on Industrial Informatics · 2026
- Mechanistic investigation of laser welding through a coupled CFD-FEM method · International Journal of Mechanical Sciences · 2026
- Numerical analysis on residual stress and fatigue crack growth life of unequal thickness butt-welded joints · Structures · 2026
- Effects of heat source arrangements on arc behavior and keyhole stability in Laser-Arc hybrid welding of 12-mm-thick AH36 steel · Optics & Laser Technology · 2026
- Integrated machine-learning modelling for mechanical property prediction – A case study on laser-welded TC4 titanium alloy · Optics & Laser Technology · 2026
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