Hexagon has expanded its collaboration with automotive manufacturer SEAT, building upon a 25-year partnership. The companies have signed a strategic agreement that aims to deepen the digital transformation of SEAT, focusing on the digitalisation of vehicle components, the management of digitised information and advanced process simulation.
The agreement will enable SEAT to optimise its production, making decisions on adjustments to its processes in real time. Hexagon has role has been instrumental, implementing SEAT’s measurement and quality control systems for many years. Now through the extended collaboration, the joint project team will integrate a digital twin that applies metrology data with process simulations to predict outcomes and improve manufacturing efficiency. The solution will make use of innovative systems to digitise the car body and its components, manage their data, and provide reports and analytics that help production personnel drive efficiency and reduce costs.
The collaboration is based on three fundamental pillars: the digitalisation of the manufactured parts of the vehicle, the management of digitised information and the simulation of processes.
SEAT relies on Hexagon’s quality inspection and 3D digitisation solutions, which it has implemented in its inspection and manufacturing processes for body components. Under the new agreement, Hexagon’s PRESTO system will fully automate the high-precision 3D laser scanning of the entire body with high-speed robotic inspection, allowing every detail of the car to be measured and evaluated in real-time.
The second pillar of the agreement is the management of digitised information, which uses Hexagon’s eMMA data management, quality planning and analytics platform, while thirdly, Hexagon’s simulation solutions allow SEAT to optimise production and adjust its production settings using a virtual prototype of the product, speeding up the process of fine-tuning the production methods that will be used in series manufacturing.
More information www.hexagon.com
