Towards Future Interfaces With Tuneable Adhesion By Dynamic Excitation

Descrizione del progetto

Avanzate interfacce bioispirate con aderenza modulabile basate su micro vibrazioni dinamiche

La capacità di afferrare, sollevare e posizionare in modo sicuro oggetti al medesimo livello, o a un livello migliore, degli esseri umani è un’esigenza in crescita in un mondo sempre più automatizzato, con applicazioni che vanno dall’esplorazione spaziale fino ai manipolatori robotici nelle fabbriche. Gran parte delle interfacce adesive bioispirate sono state progettate rivolgendo l’attenzione a proprietà di aderenza per lo più statiche e macroscopiche. Il progetto SURFACE, finanziato dall’UE, esaminerà il potenziale delle micro vibrazioni per modulare la forza di aderenza a interfacce morbide per prestazioni senza precedenti. Il progetto studierà l’aderenza in condizioni di eccitazione con micro vibrazione ricorrendo a un approccio numerico e sperimentale combinato. I risultati chiariranno e dimostreranno la topografia di superficie ottimale e la micro vibrazione dinamica richiesta per migliorare le prestazioni rispetto allo stato dell’arte.

Obiettivo

Macroscopic adhesion is of utmost importance in key technologies such as soft and climbing robots, aerospace grasping technologies, human-robot interactions, pick-and-place manipulators. Commonly, bioinspired adhesives interfaces have been characterized from a quasi-static perspective, neglecting the effect of dynamic excitations. Nevertheless, recent observations suggest that added micro-vibrations may be exploited to strongly enhance and rapidly tune macroscopic adhesion. By exploiting the multiplicative coupling between geometric- and viscoelastic vibration-induced enhancements of macroscopic adhesion, SURFACE aims at designing future soft interfaces with unprecedented and tuneable adhesion strength. To this end, I aim to: (i) develop highly efficient numerical tools for studying adhesion of patterned soft surfaces under micro-vibration excitation, (ii) unveil the coupling effect between topography and viscoelasticity that determine the interfacial strength and toughness (iii) design optimal surface topography and excitation for macroscopic adhesion tuning, by exploiting artificial intelligence models to unveil new mechanisms for adhesion enhancement, (iv) prove the adhesive performance reached, by experimentally testing high-resolution 3D printed interfaces with the desired topography and superposed micro-vibrations. So far, the adhesive performance of bioinspired patterned interfaces has been limited by manufacturing capabilities at the micro/nanoscale. SURFACE ground-breaking approach aims at exploiting dynamics excitation to outperform state-of-the-art adhesive interfaces. By exploiting artificial intelligence models, SURFACE aims at revealing new mechanisms for adhesion enhancement, which lay beyond our intuition. Rapidly tuneable strong adhesive interfaces have the potential to revolutionize cutting-edge technologies based on soft adhesive interfaces that require to move and place objects quickly and with accuracy.