Peter ten Haaf

Controlling and adjusting production machining through the use of data - including real-time data - is called 'adaptive processing'. It’s the future of production and is made possible by the increased availability of sensors. However, everything depends on having and understanding a standardised and structured model in which the digital information is processed into a physical action. These models are the key to successful digitisation. In a new series of blog posts, we highlight some basic models. In this first part, we will discuss the tool life curve, which is a model for finding the optimum cutting speed.

Samuel Milton

On the online platform ‘Model-based machining’ you can find calculation models that use information from tool life curves for finding the most economical cutting speed. This lets you select the most cost-effective machining process. We are organising training courses to help with the practical implementation of the calculation models.

Tom Jacobs

Tool monitoring is needed in the milling process in order to be able to automate it and to ensure the quality of the products. This is not an easy task where micromilling tools are involved, but acoustic sensors can offer a solution for this.

Peter ten Haaf

When striving for an Industry 4.0 production system, the first requirement is to connect the production machines within a network. In a machining production environment with a wide variety of machines - modern, obsolete, designed for batch processes, manual, etc. - this presents a major challenge.

Tom Jacobs

In machining processes, a recently developed cooling method using supercritical CO2 can make cryogenic cooling competitive with conventional coolants. This method offers some important advantages.

Samuel Milton
Tom Jacobs

Vibrational response plays an essential role in the performance of machine tools and machining processes, which directly affects the material removal rate and workpiece surface quality, as well as dimensional and form accuracy. It is, however, still a topic that is least understood in manufacturing science.

Christophe Michiels

Do you spend a lot of time creating work instructions with Word, Excel or PowerPoint? Are you not 100 percent sure whether the operators in manufacturing are using the right version? Do you find that checklists are not always filled in, or are only filled in afterwards? Digital work instruction platforms are aimed at solving these problems.

Peter ten Haaf

The Integration of 3D metal printing project has won the RegioStars Award in the category 'SMART Europe: enhancing the competitiveness of local companies in a digital world'. With this, the ERDF project was recognised as the best initiative in Europe to support SMEs in technological innovation.

Jan Kempeneers

It was possible this time for the second guidance group meeting in the COBOFIN project to take place physically and this was combined with a visit and demonstration at Cibo Robotics.

Tom Jacobs

Everyone is looking at 'Industrie 4.0' and is busy digitalising: connecting machines, making dashboards, integrating sensors, etc. However, we have noticed that in these processes the basis, the processing itself, is often regarded as secondary or even completely lost sight of. Productivity is achieved first and foremost through high-performance machining processes, which is why we want to use a webinar series to brush up on the basics of machining operations and make the link to the '4.0' or digital evolution.