Predictive mechanics-based model for depth of cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications

Predictive mechanics-based model for depth of cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications

Our new paper entitled "Predictive mechanics-based model for depth-of-cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications" is recently accepted to be published in Medical & Biological Engineering & Computing journal and is now online at the following address: Click HERE! This paper solves the fundamental physics problem of the interaction of the waterjet with the surrounding soft tissue for waterjet-assisted cutting in medical and surgical applications. Mahdieh Babaiasl, Stefano Bocelli, Yao Chen, and Fan Yang conducted this research under the supervision of Dr. John P. Swensen, and Dr. Jow-Lian Ding.  Watch a short video of the experiments below:…
Read More