Dr Maheshwar Dwivedy, Associate Dean of Practice School, and Associate Professor, at the Department of Mechanical Engineering, SRM University-AP in collaboration with his post-doctoral scholar, Dr B Prasanna Nagasai, have joined forces to combine artificial intelligence with Cold Metal Transfer (CMT) Technology. Their research paper, “Cold Metal Transfer Technology – A Review of Recent Research Developments,” featured in the Q1 journal, Results in Engineering promises to make a significant impact on automobile, aerospace, oil and gas manufacturing industries, and that’s not all the research will also generate employment opportunities, and empower engineers to deliver enhanced services.
Abstract:
Cold Metal Transfer (CMT) technology has emerged as a promising welding technique, offering numerous advantages such as reduced heat input, minimal spatter, and enhanced control over the welding process. This paper provides a comprehensive review of recent research developments in CMT technology, focusing on its history, variants, recent advancements, and future perspectives. Initially, the paper traces the historical development of CMT welding, highlighting its evolution and the introduction of various CMT variants with distinct characteristics and applications. Recent studies have focused on optimising CMT process parameters to improve weld quality and productivity, leading to advancements in parameter control, arc stability, and wire-feeding mechanisms. Additionally, research has explored the microstructural evolution and mechanical properties of CMT-welded joints for both similar and dissimilar metals, providing insights into material compatibility, joint design, and performance under various conditions. Specific applications such as Laser-CMT hybrid welding, CMT cladding, CMT wire arc additive manufacturing, and CMT welding for repair across various materials are examined, demonstrating the versatility of CMT technology. This review also addresses the challenges and methodologies for defect reduction in CMT welding, along with recommendations for best practices. Furthermore, the paper discusses the integration of artificial intelligence in CMT welding, exploring opportunities for enhanced weld quality, economic, and social implications, and future research directions.
Practical and Social Implications:
The practical implementation of this research on Cold Metal Transfer (CMT) technology can significantly impact various industries, such as automotive, aerospace, oil and gas, and manufacturing. By optimising CMT welding parameters and integrating advanced features like arc length control and waveform modulation, industries can achieve higher weld quality, reduce defects, and enhance productivity. This can lead to more reliable and efficient manufacturing processes, resulting in cost savings and improved product performance. Social implications associated with this research include the potential for increased job opportunities and skill development in the welding and manufacturing sectors. As industries adopt advanced CMT technology, there will be a growing demand for skilled workers trained in these techniques. Additionally, improved welding quality and reduced defects can lead to safer and more durable products, enhancing overall public safety and satisfaction. The integration of artificial intelligence in CMT welding also opens up new avenues for innovation and technological advancements, fostering a culture of continuous improvement and progress in the manufacturing industry.
Collaborations:
Dr V Balasubramanian,
Professor & Director,
Centre for Materials Joining & Research (CEMAJOR)
Annamalai University, Annamalai Nagar-608002, Tamilnadu.
Dr P Snehalatha,
Associate Professor & Head
Department of Mechanical Engineering,
Sri Padmavathi Mahila Visvavidyalam, Tirupati, Andhra Pradesh-517502, India.
Future Research Plans:
The upcoming work will concentrate on creating Functionally Graded Materials (FGMs) through Wire-Arc Additive Manufacturing (WAAM) by merging nickel and stainless steel. The goal of this research is to leverage the distinct properties of each metal to develop components suited for specialised high-performance applications. The primary challenges involve optimizing the interfaces between materials, refining the deposition processes, and ensuring strong structural integrity throughout the manufacturing process.
The link to the article: https://doi.org/10.1016/j.rineng.2024.102423