A Basic Study on Slump Analysis of High Accuracy MPS for Fresh Concrete

Grease lubrication in ball bearings is one of key technologies to reduce energy consumption and enhance lifetime in design of spacecrafts as well as general industrial machineries. From a view point of grease lubrication design, it is crucial to understand grease macro flow phenomena in ball bearings taking into account non-Newtonian property of grease. In the current study, grease macro flow phenomena were investigated based on experimental and numerical works as a preliminary study. Grease dam breaking was defined as a benchmark problem and its collapsing phenomena were experimentally observed. As for the numerical work, a basic algorithm to simulate non-Newtonian grease macro flows was developed based on the explicit MPS (Moving Particle Simulation) method coupled with Bingham pseudoplastic fluid model. The observed grease dam breaking behavior was simulated by the developed numerical approach and the numerical results showed a good agreement with the corresponding experimental data.

show abstract

多相融体の流動特性評価とプロセスシミュレーション

Higuchi,

Shimasaki,

Ueda

et al. 2024

Tetsu-to-Hagane

View full text Add to dashboard Cite

In the process of steelmaking refining, slag used in the preliminary treatment of molten iron or the converter is a multiphase melt. It contains solid particles that cannot dissolve entirely from the raw materials and gas bubbles generated through reactions, thus making it a multiphase molten material with dispersed components. The flow characteristics of the suspensions, foams, and emulsions significantly affect the separation of iron particles in the slag and the behavior of slag discharge. Multiphase melts typically behave as non-Newtonian fluids, so the evaluation, focusing on viscosity, is crucial to understanding their flow characteristics. This report reviews recent advances in slag visualization techniques for understanding the flow of multiphase molten materials. The results are as follows:Through studies of viscosity measurements of multiphase melts using rotational viscometers, falling-ball methods, and dam break methods in cold experiments with simulated slag and hightemperature experiments with slag compositions close to practical operation, it has been shown that the apparent viscosity increases with an increase in the volume fraction of solid particles and bubbles. The complex behaviors of the viscosity measurement values could have been reproduced with high precision using predictive models based on recent developments in machine learning. In terms of process evaluation, the application of mesh and mesh-free methods is advancing as methods of computational fluid dynamics (CFD) that take non-Newtonian behavior into account, providing valuable insights into evaluating slag discharge properties and more.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Basic Study on Slump Analysis of High Accuracy MPS for Fresh Concrete

Abstract: KEY WORDS

Cited by 5 publications

References 1 publication

The applicability of SPH and MPS methods to numerical flow simulation of fresh cementitious materials

The applicability of SPH and MPS methods to numerical flow simulation of fresh cementitious materials

Numerical analysis of dam breaking behavior of Bingham pseudoplastic fluid by using the explicit MPS method

多相融体の流動特性評価とプロセスシミュレーション

Contact Info

Product

Resources

About