Prof.dr.ir. Gijs Krijnen

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Biography

Prof. Transducer Science, Robotics And Mechatronics Group - University of Twente

Prof. dr. ir. Gijs Krijnen’s interests are in bio-inspired transducers, parametric sensing schemes and sensor fabrication. He has been working on micro and nano fabrication and currently focuses on additive manufacturing in general and embedding sensors while 3D printing in particular. He has (co-) authored over 115 refereed journal papers, 11 book chapters and 250 conference contributions on a variety of subjects including nonlinear integrated optics, micro-mechanical sensors and actuators, biomimetic flow and inertial sensors and parametric and nonlinear transduction. He holds a PhD (cum laude) from the University of Twente, has been a fellow of the Royal Netherlands Academy of Arts and Sciences and was awarded a VICI grant by the Netherlands Organisation for Scientific Research in 2005 for research on bio-inspired flow-sensors (BioEARS). He currently is with the Robotics and Mechatronics group of the University of Twente.

Presentation

3D Printing of Physical Sensors
 for Robotic & Medical Applications

Traditionally, to sense particular quantities, sensors are mounted on structures and both are optimised independently. Such optimised sensors generally perform very well. However, giving their characteristics, such as form-factor and measurement range, they may not be the best solution and only allow for limited complexity as assembling and interfacing become increasingly complex with increasing sensor count. Nowadays, technologies like multi-material 3D printing allow to incorporate electrically conductive materials in dielectric embedding. This opens the route to 3D print electrical connections and sensors _while_ printing entire structures. This has the potential to integrate many sensors and connections and holistically optimise for specific intended applications. In my research I focus on the development of this technology, addressing challenges like print quality, anisotropic conduction, nonlinear mechanical and electrical behaviour, etc.  In this presentation I will discuss 3D Printing of Physical Sensors
 for Robotic & Medical Applications.