Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
In this study the problem of visualizing uncertainty in sensed data for manufacturing applications is discussed. Constructing geometric models for the objects from sense data is the intermediate step in a reverse engineering manufacturing system. Sensors are usually inaccurate, providing uncertain sense information. We construct geometric entities with uncertainty models for the objects under consideration from noisy measurements. This case study mainly addresses recovering uncertainty in the geometric entities, in order to aid making later decisions about the geometry of the reconstructed parts.
How to cite this article:
Tarek Sobh , Xio Hong Zhu and Sarosh Patel . Visualization of Tolerance for Manufaturing.
DOI: https://doi.org/10.36478/jeasci.2007.299.304
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2007.299.304