Student Work
Real-Time Process Monitoring And Statistical Process Control For an Automated Casting Facility
PublicDownloadable Content
open in viewerIn the metal casting industry, defects increase cost of production, expand required labor hours, and decrease overall productivity. Better understanding of process variables allows for successful reduction of defects. Utilizing real- time data logging technology and statistical process control software creates the framework for an effective process monitoring system. To establish a correlation between mold temperature and casting defects, a unique data logging system, capable of withstanding high temperatures, was designed. The beneficial results of this project will not only impact the process today, but will help improve future innovations in the industry.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-053112-163739
- Advisor
- Year
- 2012
- Sponsor
- Date created
- 2012-05-31
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
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Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Lettiere_MQP_SYS-SYS7_Final_Report.pdf | Public | Download | ||
Lettiere_MQP_SYS-SYS7_Poster_1200dpi.pdf | Public | Download | ||
Lettiere_MQP_SYS-SYS7_Supplement.zip | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/j96022219