What is it about?
The friction stir welding machine is equipped with multiple sensors such as force, torque, and power. The data acquired from these sensors is sent to a cloud server in real-time where it is processed via signal processing and machine learning techniques for predicting the quality of the weld. A feedback signal is sent to the machine whenever the predicted quality is found to be lesser than a desired value.
Photo by Luke Chesser on Unsplash
Why is it important?
The scheme monitors the process in real-time and controls it, thus, the wastage of raw materials is eliminated. Also, the real-time quality check saves capital which otherwise would have been invested on offline quality assessment tests.
Read the Original
This page is a summary of: Real time monitoring and control of friction stir welding process using multiple sensors, CIRP Journal of Manufacturing Science and Technology, August 2020, Elsevier, DOI: 10.1016/j.cirpj.2020.03.004.
You can read the full text:
The following have contributed to this page