Comprehensive analysis of experimental studies in cold metal transfer welding

Cold metal transfer (CMT) welding has emerged as a transformative technology in metal joining, offering minimal heat input, reduced distortion, and superior deposition control. This review synthesizes experimental studies to evaluate CMT's capabilities in aerospace, automotive, and additive manufacturing applications. Key findings demonstrate that optimized parameters achieve dimensional accuracies within ± 0.2 mm, heat-affected zones 40–60% narrower than conventional GMAW, and grain refinement (12–18 μm) enhancing mechanical properties. Hybrid CMT-laser methods improve deposition rates by 15–30%, while numerical models predict thermal behavior with > 90% accuracy. However, challenges persist in residual stress management for thick sections and standardized protocols for dissimilar materials. Future research must prioritize real-time monitoring, machine-learning-assisted optimization, and comprehensive testing standards to expand CMT's industrial adoption.

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Publication Details

Journal
Discover Applied Sciences
Published
2025-06-02
DOI
https://doi.org/10.1007/s42452-025-07065-3
Citations
7
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
4.99

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article

Comprehensive analysis of experimental studies in cold metal transfer welding

Shiva Sekar, Mir Qurrat Ul Ain, Dinesh Kumar Rajendran, Deepak Kumar Naik
7 citations
Discover Applied Sciences
Welding Techniques and Residual Stresses
4.99
article

Comprehensive analysis of experimental studies in cold metal transfer welding

Shiva Sekar, Mir Qurrat Ul Ain, Dinesh Kumar Rajendran, Deepak Kumar Naik
article en
7 citations

Abstract

Cold metal transfer (CMT) welding has emerged as a transformative technology in metal joining, offering minimal heat input, reduced distortion, and superior deposition control. This review synthesizes experimental studies to evaluate CMT's capabilities in aerospace, automotive, and additive manufacturing applications. Key findings demonstrate that optimized parameters achieve dimensional accuracies within ± 0.2 mm, heat-affected zones 40–60% narrower than conventional GMAW, and grain refinement (12–18 μm) enhancing mechanical properties. Hybrid CMT-laser methods improve deposition rates by 15–30%, while numerical models predict thermal behavior with > 90% accuracy. However, challenges persist in residual stress management for thick sections and standardized protocols for dissimilar materials. Future research must prioritize real-time monitoring, machine-learning-assisted optimization, and comprehensive testing standards to expand CMT's industrial adoption.

Discover Applied SciencesVol. 7(6)
Indian Institute of Technology Jammu (IN), National Institute of Technology Srinagar (IN)
National Institute of Technology Srinagar
Openalex Percentile: Top 4%
Welding Techniques and Residual Stresses
4.99
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