Faculty Publications

Real-Time Measurement of Mold and Core Quality in Chemically Bonded Sands

Document Type

Article

Keywords

chemically bonded sands, embedded sensors, industry 4.0, internet of things (IoT), mold & core quality, real-time measurement

Journal/Book/Conference Title

International Journal of Metalcasting

Abstract

This study presents a preliminary method to assess and predict the quality of chemically bonded sand molds through the use of embedded sensors. Utilizing miniature hardware, critical variables were measured and used as indicators of curing progression, ultimately predicting the 24-h transverse strength of phenolic-urethane no-bake and furan no-bake sand systems. Employing ANOVA and regression analyses, significant correlations were established between sensor data and strength prediction. This approach, if integrated into production, offers real-time evaluation with the potential to be automated by machine learning. While acknowledging the study’s limitations, this research introduces an innovative strategy for optimizing molding outcomes in the foundry industry through wireless, sensor-based monitoring.

Department

Department of Computer Science

Department

Metal Casting Center

Original Publication Date

1-1-2023

DOI of published version

10.1007/s40962-023-01206-3

Link to Full Text

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