Intelligent welding by using machine learning techniques

This paper talks about how machine learning techniques can be applied in the welding industry. Machine learning techniques could be used to find solutions to the problems faced by different welding processes and make them even more efficient. The welding processes' efficiency and accuracy have been proved to increase significantly by using machine learning algorithms. Industrial robots trained using artificial intelligence can find solutions to many complex manufacturing industry problems. Many welding processes rely on human expertise while choosing optimum parameters that are quite susceptible to human error and less efficient. To reduce this dependence, robots and automatic systems are trained using neural networks capable of delivering consistent weld quality and improved efficiency. Machine learning is also employed to visualize welding since the visual inspection is critical to determine weld quality. These techniques can also be used to evaluate the causes of various health hazards using regression analysis. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd International Conference on Materials, Manufacturing and Modelling.