Degree Type

Thesis

Date of Award

2007

Degree Name

Master of Science

Department

Theses & dissertations (Interdisciplinary)

Major

Human Computer Interaction

First Advisor

Dirk Reiners

Abstract

This thesis describes the conceptualization, design, and implementation of a tool which simulates the activity of spray painting, intended to augment the training of industrial spray painters at John Deere. Spray painting is a difficult task, and current methods of training do not result in the desired level of trainee expertise and performance. Through close cooperation with stakeholders at John Deere, a virtual reality-based simulation tool has been created, which provides a realistic recreation of the spray painting experience---particularly the feedback offered by the behavior and visual appearance of paint sprayed onto a surface. This paper discusses the motivation, intent, structure, and technical details which define and direct that simulation.;A number of technologies were used in this simulation, and a number of algorithms developed, in order to provide an accurate and effective reproduction of the spray painting experience. These include the use of a physical paint spray gun, the software modeling of various system components and their interactions with each other, the creation of several different tools and features for feedback and review, and the detailed simulation of both the behavior and the visual appearance of wet paint applied to a surface, in accordance with the specific attributes of the paint. These features provide feedback similar to---and in some cases greater than---the feedback available during the actual paint spraying process, allowing a trainee to develop the skills necessary to ensure proper paint application without incurring the monetary, material, and environmental costs associated with physical painting.

DOI

https://doi.org/10.31274/rtd-180813-16653

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

Steven Lee Pautz

Language

en

Proquest ID

AAI1460086

OCLC Number

317118215

ISBN

9780549923565

File Format

application/pdf

File Size

104 pages

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