Journal ArticleDOI
Review: friction stir welding tools
TLDR
Friction stir welding (FSW) is a widely used solid state joining process for soft materials such as aluminium alloys because it avoids many of the common problems of fusion welding as mentioned in this paper.Abstract:
Friction stir welding (FSW) is a widely used solid state joining process for soft materials such as aluminium alloys because it avoids many of the common problems of fusion welding. Commercial feasibility of the FSW process for harder alloys such as steels and titanium alloys awaits the development of cost effective and durable tools which lead to structurally sound welds consistently. Material selection and design profoundly affect the performance of tools, weld quality and cost. Here we review and critically examine several important aspects of FSW tools such as tool material selection, geometry and load bearing ability, mechanisms of tool degradation and process economics.read more
Citations
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Journal ArticleDOI
Effect of tool material, profile and D/d ratio in friction stir welding of aluminium metal matrix composites
Peer Review
A Survey of Machine Learning in Friction Stir Welding, including Unresolved Issues and Future Research Directions
Utkarsh Chadha,Senthil Kumaran Selvaraj,Neha Gunreddy,Sundarsanam Babu,Swapnil Mishra,Deepesh Padala,M. Shashank,Rhea Mathew,S. R. Kishore,Shraddhanjali Panigrahi,R. Nagalakshmi,R. Lokesh Kumar,Addisalem Adefris +12 more
TL;DR: This article examines machine learning applications in FSW by utilizing an arti fi cial neural network (ANN) to control fracture failure and a convolutional neuralnetwork (CNN) to detect faults.
Journal ArticleDOI
A Modified Friction Stir Welding Process Based on Vortex Material Flow
TL;DR: In this paper, a Vortex-FSW (VFSW) was proposed to avoid tool wear and break occurring in conventional friction stir welding (FSW), a new modification of the FSW process using a tool made by the identical material as the workpiece has been developed and conducted on pure aluminum.
Journal ArticleDOI
Performance of additive manufactured Stellite 6 tools in friction stir processing of CuCrZr sheet
Abhijit Sadhu,Debapriya Patra Karmakar,Omkar Mypati,Gopinath Muvvala,Surjya K. Pal,Ashish Kumar Nath +5 more
TL;DR: In this paper, the performance of Stellite 6 hardface FSW tools in friction stir processing (FSP) of CuCrZr has been investigated and the tools developed by additive manufacturing (AM) process on H13 steel as a base material.
Journal ArticleDOI
Two different finite element models investigation of the plunge stage in joining AZ31B magnesium alloy with friction stir welding
TL;DR: In this paper, the plunge stage in joining AZ31B magnesium alloy with friction stir welding using two different 3D finite element models based on Arbitrary Lagrangian-Eulerian formulation and Coupled Eulerian-Lagrangian formulation is investigated.
References
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Journal ArticleDOI
I and i
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Book
Friction Stir Welding and Processing
Rajiv S. Mishra,Zongyi Ma +1 more
TL;DR: Friction stir welding (FSW) is a relatively new solid-state joining process that is used to join high-strength aerospace aluminum alloys and other metallic alloys that are hard to weld by conventional fusion welding as discussed by the authors.
Journal ArticleDOI
Recent advances in friction-stir welding : Process, weldment structure and properties
TL;DR: In this article, the authors deal with the fundamental understanding of the process and its metallurgical consequences, focusing on heat generation, heat transfer and plastic flow during welding, elements of tool design, understanding defect formation and the structure and properties of the welded materials.
Book
The CRC Materials Science And Engineering Handbook
TL;DR: In this paper, the authors present a comparison of various types of metals, chemical properties, and their application in low-dimensional carons and two-dimensional nanomaterials.