3 papers
cs.LG2026
Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts
Ali Maghami, Merten Stender, Michele Ciavarella +1
Fast prediction of the response of adhesive soft viscoelastic contacts represents a current challenge in soft robotics and for gripping and manipulation tasks. Determining the comp…
cond-mat.mtrl-sci2025
Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning
Ali Maghami, Merten Stender, Antonio Papangelo
Understanding and predicting the adhesive properties of viscoelastic Hertzian contacts is crucial for diverse engineering applications, including robotics, biomechanics, and advanc…
cond-mat.soft2024
Bulk and fracture process zone contribution to the rate-dependent adhesion amplification in viscoelastic broad-band materials
Ali Maghami, Qingao Wang, Michele Tricarico +3
The contact between a rigid Hertzian indenter and an adhesive broad-band viscoelastic substrate is considered. The material behaviour is described by a modified power law model, wh…