An Empirical Model for Accurate Prediction of Yield Stress by Slump Flow Based on a Mini‑cylindrical Mold - Mining, Metallurgy & Exploration (2023)

Society for Mining, Metallurgy & Exploration
Minjie Zhang Aixiang Wu Yiming Wang Zhuen Ruan
Organization:
Society for Mining, Metallurgy & Exploration
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13
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1520 KB
Publication Date:
Jun 1, 2023

Abstract

This paper combines theoretical and experimental analysis to conduct relevant research to improve the accuracy of predicting paste yield stress by slump flow. The analytical model of slump flow for yield stress is derived based on a mini-cylindrical mold with a height-to-diameter ratio of 1. It shows that the dimensionless slump flow is a monotonic decreasing function of the dimensionless yield stress and is independent of the material type (specific gravity), which provides a theoretical basis for quantifying the rheological properties of paste with slump flow. Three different tailing-prepared pastes were tested for their slump flow and implemented rheological tests simultaneously. The yield stress is obtained based on the Bingham model fit, as the measured value of the yield stress is substituted into the derived theoretical model. The studied pastes yield stresses range from 34.78 to 524.08 Pa, with corresponding dimensionless slump flow of 3.43 to 1.09. The results showed that the calculated slump flows were generally greater than the measured values. The analysis showed that this was mainly due to the thixotropy of the paste, with minor deviations ranging from − 1.5 to 5.8% for the less thixotropic pasted prepared from tailing C. An approximate analytical solution for yield stress as a function of slump flow is obtained using Taylor’s formula. However, it is unsuitable for predicting the yield stress because the yield stress calculated by this function is much higher than the measured value. The empirical yield stress model was constructed and experimentally verified. The results show that the empirical formula has high accuracy and good generality. The deviation of the studied pastes is between − 15 and 5%, which provides a practical method for rapid and accurate prediction of paste yield stress in mine sites.
Citation

APA: Minjie Zhang Aixiang Wu Yiming Wang Zhuen Ruan  (2023)  An Empirical Model for Accurate Prediction of Yield Stress by Slump Flow Based on a Mini‑cylindrical Mold - Mining, Metallurgy & Exploration (2023)

MLA: Minjie Zhang Aixiang Wu Yiming Wang Zhuen Ruan An Empirical Model for Accurate Prediction of Yield Stress by Slump Flow Based on a Mini‑cylindrical Mold - Mining, Metallurgy & Exploration (2023). Society for Mining, Metallurgy & Exploration, 2023.

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