An artificial intelligence system for quality level–based prediction of welding parameters for robotic gas metal arc welding

Wordofa, Tesfaye Negash; Perumalla, Janaki Ramulu; Sharma, Abhay

doi:10.1007/s00170-024-13518-7

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…Among the welding process parameters, the role of the EAW is less reported. However, the EAW has caught the attention of researchers in the recent past and has been investigated from different perspectives, for instance, input parameters impacts on weld quality characteristics [12], an artificial intelligent system for quality level based prediction [13], the effect on the width of the HAZ [14], and the effect on the weld bead geometry [15][16][17][18]. However, the specific influence of the electrode work angle (EWA), key process parameter, on 'T' welded joints in terms of its effect on microstructure, HAZ extent, and micro-hardness has not been extensively documented.…”

Section: Introductionmentioning

confidence: 99%

Mechanical and microstructural characterization of AISI SAE 4130 steel welded joints made by robotic gas metal arc welding process: influence of electrode work angle in 'T' welded joints

Wordofa,

Perumalla,

Sharma

2024

Mater. Res. Express

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Microstructural variations within welded metals, specifically in terms of phases and their corresponding volume fractions, play a crucial role in influencing weld strength and other mechanical properties. Welded joints in a ‘T’ configuration pose a unique challenge due to the dynamic heat distribution caused by changes in the electrode work angle (EWA) between perpendicularly aligned plates. This study focuses on characterizing the microstructure and micro-hardness of ‘T’ welded joints in a 6 mm thick plate of AISI SAE 4130, welded using the robotic gas metal arc welding process. The examination covers three distinct zones: the base material (BM), the fusion zone (FZ), and the heat-affected zone (HAZ). The extent of the HAZ is meticulously measured on both the vertical and horizontal plates within the weld zones. The x-ray diffraction (XRD) analysis results indicated that the average crystallite size of the base metal and fusion zone is 25.75 nm and 24.51 nm respectively. As per the scanning electron microscope (SEM) image observations, the higher wire feed rate yields to brittle fracture surface. The torch angles notably influence the dimensions of the HAZ on the vertical and horizontal plates of a ‘T’-Joint. Welding at higher EWA and contact-tip-work-distance, results in a larger HAZ on the vertical plate. Conversely, employing a flattened EWA and an increased contact-tip-work-distance leads to a greater extent of the HAZ on the horizontal plate. Furthermore, the micro-hardness of the fusion zone and heat-affected zone demonstrates an increase at higher settings of wire feed rate and travel speed. This phenomenon is attributed to the elevated heat inputs, which contribute to the formation of a finer microstructure within the weldment.

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Section: Introductionmentioning

confidence: 99%

Mechanical and microstructural characterization of AISI SAE 4130 steel welded joints made by robotic gas metal arc welding process: influence of electrode work angle in 'T' welded joints

Wordofa,

Perumalla,

Sharma

2024

Mater. Res. Express

Self Cite

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A Study on the Effects of Offset and Welding Speed on Bead Shape and Welding Defects in the FCA Fillet Welding Process

Bae,

Ahn,

Jeong

et al. 2024

J Weld Join

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Many industries, such as automobile, aerospace, heavy industries, etc, have been interested in welding automation due to cost reduction and improving productivity. For welding automation, seam tracking plays an important role for the quality of welds. If the seam is misaligned, it can cause troubles such as weld defects and poor appearance. Most of previous studies have analyzed the influence on the bead shape and weld defects by current, voltage, welding speed, but there is lack of research regarding the effects of misaligned seam, called offset. Thus, in this study, fillet welds were conducted with flux-cored arc welding, which has high welding efficiency and low cost. To find out the guideline of offset, various offsets were intentionally applied to the welding experiments, and the changes in bead shape were observed and weld defects were detected for various combination of offset and welding speed. In addition, the grades of weld defect in each condition were evaluated by ISO 5817, which illustrates the international standard of weld defects. Based on the results, the guidelines of offset was suggested to avoid weld defects.

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An artificial intelligence system for quality level–based prediction of welding parameters for robotic gas metal arc welding

Cited by 2 publications

References 25 publications

Mechanical and microstructural characterization of AISI SAE 4130 steel welded joints made by robotic gas metal arc welding process: influence of electrode work angle in 'T' welded joints

Mechanical and microstructural characterization of AISI SAE 4130 steel welded joints made by robotic gas metal arc welding process: influence of electrode work angle in 'T' welded joints

A Study on the Effects of Offset and Welding Speed on Bead Shape and Welding Defects in the FCA Fillet Welding Process

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