Dec 30, 2018 · The input parameters of the network include workpiece thickness and welding gap, whilst the output parameters include optimal focused position, acceptable welding parameters of laser...

In this paper, an intelligence learning method for welding robot is designed, aiming at the prediction of welding process parameters and bead geometry parameters in the welding...

Automated welding parameter optimization analyzes historical welding data, process variables, and desired weld quality metrics to determine the optimal welding parameters. This information is then used to adjust the welding process in real-time, ensuring that the optimal parameters are always being used.

Jan 1, 2021 · One of the successful methods to control and optimize weld parameters like an electric current [70], welding speed, inert gas flow rate, and voltage mentioned in the results section is using the Taguchi method implemented using neural networks.

Jun 10, 2024 · To address these shortcomings, this article investigates the modeling of welding quality and the optimization of welding process parameters through the support vector machine and particle swarm optimization (SVM-PSO) algorithm.

Dec 30, 2018 · By leveraging AI algorithms, the model can quickly analyze and identify the relationships between input factors and welding parameters, leading to optimal parameter recommendations. This can result in reduced welding defects, improved weld quality, and increased productivity.

In this work, data from three material joining processes - Ultrasonic welding of polymers, arc welding as Metal Inert Gas and Tungsten Inert Gas are analysed for establishing quantitative relationship between the process parameters and for prediction of weld features using Multivariate Linear Regression algorithm.

This research focuses on the application of AI algorithms for optimizing welding process parameters. It aims to investigate different AI techniques and their suitability for predicting optimal parameter [2].

This article studies the optimization and automation control method of welding parameters based on ML (Machine Learning) algorithm, aiming to achieve high-quality, efficient, and highly automated welding processes.

Jan 26, 2022 · In this paper, an intelligence learning method for welding robot is designed, aiming at the prediction of welding process parameters and bead geometry parameters in the welding process, deep and machine learning algorithms are used for realization.