AI Drives Motorcycle Innovation

Hero MotoCorp Ltd. (Hero), a leading Indian multinational motorcycle and scooter manufacturer based in Delhi sought to accelerate its product development cycle by integrating artificial intelligence (AI) and machine learning into its finite element analysis (FEA) processes. Read more

Dynamic Laser Assignment for MetalFab Systems

Discover the enhanced capabilities of Additive Industries’ MetalFab full-field multi-laser technology with the upgraded Dynamic Laser Assignment software tool. The second generation of this software provides MetalFab users with significant improvements in performance, quality, and visualization, optimizing the efficiency and precision of additive manufacturing processes. Download

Lineair Units

TEVEL Techniek is de officiële partner voor Unimotion in Nederland en adviseert c.q. levert verschillende producten. Waaronder tandriem of spindel aangedreven lineair units, met een enkele of dubbele rechtgeleiding. Elektrisch aangedreven lineair units c.q. lineair actuatoren of mechatronisch uitgevoerd met een stappenmotor of servomotor. Compleet op maat gebouwde XYZ systemen, indien gewenst met aandrijving en besturing! Meer info

PCB Production

We work with high-tech pcb partners, who are specialized in high-tech boards and with complicated buildups (stackups). We have our own pcb production facility in Central Europe and can therefore guarantee a fast delivery of pcb’s. Read more

How an incremental innovation leads to radical cost saving in inert gas (Nitrogen) purging applications

Nitrogen purging is an air-cleaning method commonly used in many different industries, like Oil&Gas, Food industry and Semiconductor industry. Especially semiconductor manufacturers are facing mounting pressures to reduce their energy consumption and carbon dioxide (CO2) emissions. The push to become carbon neutral and reduce the effects of CO2 on the climate is a gargantuan international effort that involves all manufacturing…

The self-learning robot; The future of intelligent navigation at scale? 

How do you ensure robots can navigate efficiently in complex and dynamic environments without excessive costs and requiring endless fine-tuning? In this whitepaper, Nobleans Bram Odrosslij, Birgit Plantinga, and Mukunda Bharatheesha present a novel approach to robot navigation: self-learning motion controllers for robots based on reinforcement learning. Read more