Improved Methods for Characterization of Metal Castings Sand
Date of Award
12-2024
Degree Name
Master of Science
Department
Electrical and Computer Engineering
First Advisor
Damon Miller, Ph.D.
Second Advisor
Damon Miller, Ph.D.
Third Advisor
Sam Ramrattan, Ph.D.,
Fourth Advisor
Johnson Asumadu, Ph.D.
Keywords
Automation, Foundry 4.0, metal casting, sand testing
Access Setting
Masters Thesis-Abstract Only
Restricted to Campus until
12-1-2026
Abstract
The casting industry is an essential sector of the United States economy with an estimated net economic output of over 100 billion dollars. To remain competitive globally, the casting industry must continuously innovate to produce castings at a higher rate and quality compared to its overseas competitors. These goals require precise control over granular media used to create molds and cores, which are key factors that contribute to final casting quality. However, current sand testing devices are unable to provide the necessary information to achieve the required level of control, which results in castings-related defects. Additionally, the current sand testing standards set by the American Foundry Society (AFS) are manual labor intensive and provide low throughput and low amounts of process data. The focus of this research is to develop four sand test devices to provide critical information on sand characteristics needed to reduce casting-related defects and that align with the standard AFS Industry 4.0.
Recommended Citation
Tay, Zachary Yu Xian, "Improved Methods for Characterization of Metal Castings Sand" (2024). Masters Theses. 5446.
https://scholarworks.wmich.edu/masters_theses/5446
