Hexagon’s Manufacturing Intelligence division has teamed up with ESAB to create a streamline welding solution to help fabricators improve the efficiency of welding operations to create high-quality products.

Unveiling a partnership agreement on Wednesday (22nd June), the duo said the new solution will combine Hexagon’s powerful simulation software and ESAB’s InduSuite solutions.

ESAB’s InduSuite was launched just last month (May 2022) to increase efficiency and precision on the shop floor by enabling fabricators to digitalise welding processes for its machines and centralising weld specifications to ensure consistent, high-quality welds.

Now, paired with Hexagon’s Simufact Welding software, the duo will better help users to optimise weld sequences and locations by predicting issues such as component distortion based upon induced stresses for operators at the machine.

Under the deal, Hexagon will utilise key parameters from ESAB’s automated robotic fabrication machines to build and refine a digital twin so that fabricators can better gain a deeper understanding of their process.

Jonas Glimden, Vice-President of Digital Solutions and Robotics at ESAB, said, “ESAB’s partnership with Hexagon will increase manufacturers’ confident in their welding expertise.”

“Manufacturers have had the machinery to perform welds as efficiently as possible, and now we can offer our customers a higher level of built-in knowledge with our joint software solutions to help them make better decisions across their fabrication workflow.”

Jessica Zheng, Head of Virtual Manufacturing and Costing at Hexagon, added, “By coupling ESAB’s best-in-class welding and robotics solutions with the predictive power of Hexagon’s simulations, we will remove guesswork and ensure even better outcomes, instilling much greater confidence in production quality before costs are incurred.”

“Embedding a digital twin within ESAB’s solutions makes the entire fabrication process smarter by ensure that key decisions can be made on the shop floor with less dependence on scarce experience and more confidence in data.”