Fundamentals of Friction Stir Welding
What you'll learn
- Basics of Friction Stir Welding
- Mechanism of Friction Stir Welding
- No requirements
Welcome to the course entitled Fundamentals of Friction Stir Welding . Friction Stir Welding is a solid state joining process which doesn't use any type of filler material like other conventional welding process. It is generally used to join the alloy plates which are difficult to join by conventional welding process. Friction Stir Welding process finds application in aerospace industries, railway industries and various other manufacturing industries. The course is designed at an introductory level for just clearing up the basic concepts of the learners who are interested or beginner in Friction Stir Welding process. Before enrolling, learners are advised to go through the sample preview videos first and if they are comfortable then they are most welcome for enrolling in this course. The more updates to this course will soon be introduced such as application of artificial intelligence and machine learning algorithms in Friction Stir Welding process by discussing various available research papers.
Learners will come across the following topics:
Basics of Friction Stir Welding.
Advantage of Friction Stir Welding.
Various mechanisms involved in Friction Stir Welding process.
Study of tools used in Friction Stir Welding process.
I hope that you are definitely going to enjoy this course. I also advice you that before attempting the quizzes please go through the lectures well.
Who this course is for:
- Beginner in Friction Stir Welding process
Akshansh generally works on the implementation of Artificial Intelligence tools in the domain of manufacturing and materials. His ongoing research projects are synthetic microstructure development of Aluminum-Silicon alloy by using Deep Convolutional Generative Modelling and mechanical properties optimization of Friction Stir Welded joints as well as metal matrix composites. His main research interests are advanced manufacturing, welding, artificial intelligence, machine vision, and computational neuroscience.