Volume 18, Issue 6 (10-2018)                   Modares Mechanical Engineering 2018, 18(6): 223-229 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

sabourimanesh Z, Talebi H, Dehghan M. Simulation of Soft Tissue Deformation in Haptic Systems with Cellular Neural Networks. Modares Mechanical Engineering. 2018; 18 (6) :223-229
URL: http://mme.modares.ac.ir/article-15-16736-en.html
1- robotic center of Amirkabir university of technology
2- Amirkabir University of Technology
3- AmirKabir university of Technology
Abstract:   (2302 Views)
Nowadays, using of virtual reality in surgical training is taken consideration due to safety, reproducibility, lower cost and other benefits. The various presented method for virtual surgery have attempt to make it more real and also make it online. This paper presents a new methodology for the deformation of soft tissue by drawing an analogy between cellular neural network (CNN) and elastic and viscoelastic equations. Viscoelastic model has been resulted from collection between Navier-Cauchi equations and Kelvin-Voigt model. Furthermore, a haptic system for viscoelastic modeling of soft tissue deformation is presented. The displacement created at a point by external force is released throughout the tissue via the cellular neural network. Because this method needs to cubic meshing, a new meshing algorithm is designed that executed offline. Indeed a collision detection algorithm is used to detect collision between tool and cells that executed inside the main algorithm and force feedback using the force model provided by the neural network and the haptic interface. This algorithm is implemented on a 3d liver model and executed online.
Full-Text [PDF 3937 kb]   (1915 Downloads)    
Subject: Aerospace Structures
Received: 2018/01/26 | Accepted: 2018/09/24 | Published: 2018/09/24

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.