Current Scenario, Future Scope, and Challenges in Welding
Nitin Kumar Lautre
- 发表年份
- 2024
- 引用次数
- 2
摘要
The present chapter provides an overview of advanced welding techniques, highlighting the current trends and future perspectives in the field. The chapter explores various advanced welding methods, including beam welding (LBW, LAHW, EBW), arc welding (PAW, CMTW, X-TIGW, X-MIGW), friction welding (LFW, OFW, FSW, FSSW, FSAM), pulse welding (USW, MPW), under welding (X-UWW, UVW, UPW), material-specific welding (NW, DMW, GW), smart welding (SW, AW), hybrid welding (X-HW), and so on. The chapter covers current advances in advanced welding processes, with an emphasis on advanced welding techniques beyond traditional methods to include innovative approaches, tools, and equipment to meet the challenges of complex projects and demanding applications. These techniques aim to increase productivity, reduce costs, increase weld integrity, and provide greater control over the welding process. This chapter investigates the use of sophisticated welding techniques in metal deposition, particularly emphasizing the regulated metal deposition (RMD) process over axial spray transfer. Because of its capacity to solve the obstacles associated with traditional welding procedures, the RMD process, a version of gas metal arc welding (GMAW), is gaining favor. The chapter focuses on axial spray transfer, an advanced welding process. It presents the developments in spray transfer by outlining the basic concepts underpinning axial spray transfer, such as the importance of gas shielding, wire feed, and electrical factors in the operation. The axial spray transfer equipment requirements, such as power supplies, torches, and wire feeders, and instances of successful axial spray transfer deployment in diverse sectors are discussed. The chapter includes surface tension transfer as a highly regulated form of GMAW that uses a controlled short circuit and low heat input. Friction welding (FW) is a solid-state welding process that produces welds with good mechanical properties. Friction stir spot welding (FSSW) is a subtype of FSW used to join overlapping materials without cutting through the entire thickness. Impulse welding generates heat and welds materials using high-frequency ultrasonic vibration (USW) or magnetic pulses (MPW). Pulse welding is fast, clean, and can be automated. Submerged welding processes mainly include underwater (UWW), under vacuum (UVW), under magnetic field (UMFW), and under powder (UPW) welding. Submerged welding is mostly used for surface modification to improve the wear resistance of the workpiece. Nanopowders or metal matrix composite (MMC) powders are used to increase the hardness and wear resistance of the surface layers. Green welding processes aim to reduce energy consumption and emissions and optimize material utilization. Nano-welding (NW) is a type of welding that occurs at the nanoscale and involves manipulating and joining nanostructures and nanomaterials. Smart welding (SW) is focusing more on automated welding (AUW) through the use of automation and robotics. Augmented reality (AR), virtual reality (VR), sophisticated sensor and monitoring systems, green welding, and other concepts will continue to play an important role in technology-assisted welding. Additive manufacturing (AM) is being explored as a welding process for fabricating complicated geometries and multi-material structures. Laser powder bed fusion (LPBF) is an important process for additive manufacturing of metals. HW can use a combination of all available welding techniques to achieve better advancement and customization. The chapter finishes with an overview of the important discoveries and future possibilities in advanced welding. The presence of welding is promising as continued advances in power sources, filler metals, shielding gases, and joint design will make welding faster, stronger, more flexible, and more adaptable than ever before. As welding becomes a ubiquitous and important industrial activity, the possibilities are limitless in the future.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991