Methodology for assessing measurement error for casting surface inspection

Thumbnail Image
Date
2011-07-01
Authors
Daricilar, G.
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Peters, Frank
Associate Professor
Research Projects
Organizational Units
Organizational Unit
Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
Journal Issue
Is Version Of
Versions
Series
Abstract

Visual assessment of objects is critical to many fields including metalcasting. While the output for such a task is often a simple attribute, theproblem studied here is for inspection tasks requiring an output that defines shape, size and location of anomalous areas, which are random and are not defined a priori. This paper defines a methodology to quantify the amount of repeatability and reproducibility variation. The application of the methodology for the visual surface assessment of steel castings reveals significant repeatability and reproducibility error. The work presented here is the impetus for current efforts that are defining the capabilities of the visual inspection process and ways to improve it through the selection,training and retraining of operators and through better control of the process.

Comments

This article is from International Journal of Metalcasting 5 (2011): 7. Posted with permission.

Description
Keywords
Citation
DOI
Source
Copyright
Sat Jan 01 00:00:00 UTC 2011
Collections