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A Method to Manipulate Surface Tension of a Liquid Metal via Surface Oxidation and Reduction

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A Novel Approach to Visualize Liquid Aluminum Flow to Advance Casting Science.

Casey Bate¹, Philip King¹, Jay Sim¹

¹Department of Mechanical Engineering, Penn State University, State College, PA 16801, USA.

Materials (Basel, Switzerland)

|January 21, 2023

Summary

Researchers developed a novel method using Succinonitrile (SCN) to accurately visualize molten metal flow in sand casting. This technique improves understanding of casting hydrodynamics, reducing defects and scrap rates in sand castings.

Keywords:

casting hydrodynamics flow simulation metal analog mold filling sand-casting succinonitrile water modeling

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Published on: December 11, 2014

Area of Science:

Materials Science
Fluid Dynamics
Manufacturing Engineering

Background:

Turbulent metal filling in sand casting causes defects like bi-films and porosity, leading to poor mechanical properties and high scrap rates.
Accurate visualization of metal flow in sand molds is crucial for eliminating casting defects but is limited by harsh foundry environments and expensive equipment.
Existing numerical methods have limitations in fully capturing the complexities of melt flow dynamics in sand casting.

Purpose of the Study:

To introduce and validate Succinonitrile (SCN) as a superior analog for molten aluminum in experimental studies of casting hydrodynamics.
To identify critical dimensionless numbers and parameters for accurate analog testing of melt flow in sand molds.
To provide a more accessible and accurate experimental method for visualizing and analyzing metal flow in sand casting processes.

Main Methods:

Utilized numerical simulations and experimental approaches comparing water and Succinonitrile (SCN) as fluid analogs.
Investigated the influence of dimensionless numbers, specifically Froude's number, and wall roughness on melt flow dynamics.
Employed novel casting hydrodynamic techniques to visualize melt flow patterns using SCN.

Main Results:

Succinonitrile (SCN) demonstrated higher accuracy than water in recreating the flow profile of molten aluminum.
Froude's number and wall roughness were identified as critical variables for accurate analog testing.
The study validated the utility of SCN as a metal analog for experimental metal flow research in casting.

Conclusions:

Succinonitrile (SCN) is a viable and accurate analog for studying molten metal flow in sand casting hydrodynamics.
The findings facilitate improved defect prediction and reduction strategies in sand casting.
This research paves the way for advanced studies in runner design, in-gate optimization, and integrated filling-feeding-solidification analysis.