Dassault Systèmes
flow-image

Use Machine Learning to Optimize Weld Integrity

Published by Dassault Systèmes

Machine learning is revolutionizing the field of weld optimization by significantly reducing the time required for design exploration. Traditionally, engineers rely on trial and error to optimize welding processes, but AI models trained on simulation results can dramatically speed up this process. For example, a neural network trained with data from 80 simulations can predict deformation and residual stress almost instantly, compared to the hours needed for traditional methods. This approach not only accelerates the process by over 100,000%, but also improves accuracy, helping engineers ensure safety, quality, and performance in welding operations.

Download Now

box-icon-download

Required fields*

Please agree to the conditions

By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@headleymedia.com.

Related Categories Artificial Intelligence, Deep Learning, AI Platforms, Unsupervised Learning, Reinforcement Learning, ML Algorithms, Data Preprocessing, Model Training, Sales & Marketing, Predictive Analysis, Customer Segmentation, Lead Scoring, Marketing Automation

More resources from Dassault Systèmes