In an era when the Internet of Things (IoT) and big data dominate the industry, Sirris provides innovative solutions to increase efficiency and identify operational problems. Sirris, the innovation ...
Can your company benefit from real-time process data in the control of machining processes? Thanks to a new TETRA-AI project, you can find out! This innovative project, a collaboration between VIVES ...
Today, operators are often dealing with machine sensors and event logs in a rather passive way: reading failure notifications, performing post-mortem analyses, etc. A more active way could enable them ...
The BrefurbiSH project is working toward a process for faster and more efficient refurbishment based on data analysis, digital work instructions and cognitive support for the operator. Moreover, its ...
The use of (real-time) data to adjust production processes - in machining one speaks of 'adaptive machining' - is the future of production. This is made possible by the increased availability of ...
Although the additive manufacturing (AM) technology has evolved substantially over the last decades, the overall end-to-end process involves many complex steps and still today requires manual input ...
Adaptive machining allows specific actions to be taken in machining, based on the actual production situation. The successful application depends on the availability of correct (real-time) data and the corresponding structured and digitalised working methods. For the latter, we have developed several models which we will offer via an online platform within the 'Model-based processing' project.
The complex machining process presents many challenges, one of which is controlling vibrations caused by the dynamic behaviour of the machine, the tool and the workpiece. New hardware developments are ...
