Thesis
Modeling haptics for virtual cutting embedded in CAD
Washington State University
Master of Science (MS), Washington State University
2007
Handle:
https://hdl.handle.net/2376/102972
Abstract
There has been an ongoing attempt by researchers in bringing virtual models to life with better visualization techniques and numerous force feedback devices. There have also been various attempts at integrating Virtual Reality (VR) with commercial CAD systems. This thesis presents research related to cutting forces and experiments performed to model these forces to be displayed in virtual cutting integrated inside a commercial CAD system. The research was divided into two phases; first, modeling and visualization of the virtual cutting process within a CAD system and second, implementing force feedback for cutting simulation. The force feedback device used for this research was the PHANTOM Omni from SensAble Technologies. A virtual cutting capability was implemented inside CATIA V5. This capability allows a user to interactively cut an assembly in the CAD system and perform the geometry manipulations required to cut and separate the parts for manipulation using VR devices. Experiments were also conducted in an attempt to understand the relationships between cutting velocity, resisting force, material hardness and thickness of the material being cut. The results from the experiments were used to suggest relationships that could be used to provide force feedback for cutting forces using force feedback (haptic) devices. A simple proof of concept was implemented using the PHANTOM Omni.
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Details
- Title
- Modeling haptics for virtual cutting embedded in CAD
- Creators
- Hrishikesh Kate
- Contributors
- Sankar Jayaram (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525401801842
- Language
- English
- Resource Type
- Thesis