Thesis
An approach to enhance a traditional ergonomics tool with assembly capabilities and algorithms from an immersive environment
Washington State University
Master of Science (MS), Washington State University
2007
Handle:
https://hdl.handle.net/2376/100156
Abstract
This thesis presents an approach to link traditional, commercially available ergonomics evaluation tools with virtual environment tools for providing enhanced capabilities for engineering design. Ergonomic evaluation tools in engineering design are fairly mature and are used in important and specific ways to analyze human model postures in industry. The promising capabilities of immersive environment tools for assembly simulations such as realistic environments and interactions, constraint-based modeling, and physically-based modeling are attractive to industry but have so far been available only in environments separate from the traditional ergonomics analysis tools. This research seeks to create a well-integrated synergistic approach that will complement traditional ergonomics tools with a careful assimilation of capabilities and algorithms from a virtual environment used for assembly simulations. The information exchange, representations, communication, and computational issues involved in achieving this connectivity are discussed in this thesis. A successful implementation was created and demonstrated. It is anticipated that this synergy between an ergonomics tool and a virtual environment will lead to breakthroughs and ease of use benefits similar to those that have now been obtained by the close integration of CAD and virtual environments.
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Details
- Title
- An approach to enhance a traditional ergonomics tool with assembly capabilities and algorithms from an immersive environment
- Creators
- Okjoon Kim
- Contributors
- Uma 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, Wash. :
- Identifiers
- 99900525093101842
- Language
- English
- Resource Type
- Thesis