4.2 Article

The Path Tracking Method as an alternative for tortuosity determination in granular beds

Journal

GRANULAR MATTER
Volume 20, Issue 4, Pages -

Publisher

SPRINGER
DOI: 10.1007/s10035-018-0842-x

Keywords

Tortuosity; Granular beds; Path Tracking Method; Lattice Boltzmann Method; Discrete Element Method

Funding

  1. Polish Ministry of Science and Higher Education

Ask authors/readers for more resources

Tortuosity is one of the most elusive parameters of porous media. The fundamental question is whether it may be computed from the geometry only or the transport equations must be solved first. Elimination of the transport equations would significantly decrease the computation time and memory consumption and thus allow investigating larger samples. We compare the geometric to hydraulic tortuosity of a sphere-packed porous media. We applied the Discrete Element Method to generate a set of virtual beds based on experimental data taking into account the real porosity and particle distribution, the Lattice Boltzmann Method to compute the hydraulic tortuosity and geometrical approach, i.e. so-called Path Tracking Method, to calculate the geometrical tortuosity. Our study shows that the calculation time can be reduced from hours (if the LBM is used) to seconds (if the PTM is applied) without losing the accuracy of the final results. The relative error between average values of the tortuosity obtained for both used methods is less than 3%. We show that the applied geometrical method may serve as an attractive alternative to hydraulic tortuosity, particularly in large granular systems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Materials Science, Multidisciplinary

The influence of particle size distribution on parameters characterizing the spatial structure of porous beds

Wojciech Sobieski, Seweryn Lipinski

GRANULAR MATTER (2019)

Article Computer Science, Interdisciplinary Applications

Numerical investigations of tortuosity in randomly generated pore structures

Wojciech Sobieski

MATHEMATICS AND COMPUTERS IN SIMULATION (2019)

Article Agronomy

Binarizing water sensitive papers - how to assess the coverage area properly?

Adam Jozef Lipinski, Seweryn Lipinski

CROP PROTECTION (2020)

Article Engineering, Multidisciplinary

An analysis of the conditions during the autonomous start-up of a water ram

Wojciech Sobieski, Seweryn Lipinski, Dariusz Grygo

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES (2020)

Article Engineering, Chemical

Calculating the Binary Tortuosity in DEM-Generated Granular Beds

Wojciech Sobieski

PROCESSES (2020)

Article Multidisciplinary Sciences

Predicting porosity, permeability, and tortuosity of porous media from images by deep learning

Krzysztof M. Graczyk, Maciej Matyka

SCIENTIFIC REPORTS (2020)

Article Mathematics, Interdisciplinary Applications

Waterfall Algorithm as a tool of investigation the geometrical features of granular porous media

Wojciech Sobieski

Summary: The paper introduces the Waterfall Algorithm for calculating parameters characterizing the spatial structure of granular porous media, and investigates the influence of porosity and particle size on these parameters. New sensitive parameters are proposed in the study, and comparisons with other algorithms for calculating tortuosity are made.

COMPUTATIONAL PARTICLE MECHANICS (2022)

Article Computer Science, Interdisciplinary Applications

Memory-efficient Lattice Boltzmann Method for low Reynolds number flows

Maciej Matyka, Michal Dzikowski

Summary: The study simplified the Lattice Boltzmann Method algorithm by assuming constant numerical viscosity and conducted simulations to test it. The results showed that the new method is simpler and less error-prone in implementation, requiring less working memory in low Reynolds number flows but less efficient in multiphase flows. Therefore, further extension and the moments-only formulation were proposed to address this issue.

COMPUTER PHYSICS COMMUNICATIONS (2021)

Article Engineering, Chemical

Pushing Droplet Through a Porous Medium

Maciej Matyka

Summary: By using a mechanical model and conducting numerous simulations, we investigated the dynamics of droplets in random porous media. The results showed that the tortuosity of the porous media increases as porosity decreases, similar to studies on single-phase fluids, but with a different relationship form.

TRANSPORT IN POROUS MEDIA (2022)

Article Multidisciplinary Sciences

Deep learning for diffusion in porous media

Krzysztof M. Graczyk, Dawid Strzelczyk, Maciej Matyka

Summary: This study adopts convolutional neural networks (CNN) to predict the basic properties of porous media, including sand packings and biological tissues. Lattice Boltzmann Method is used to obtain labeled data for supervised learning. Two tasks are performed: one predicts porosity and effective diffusion coefficient based on system geometry, and the other reconstructs concentration maps. Different CNN models are proposed for each task, showing reasonable accuracy within their respective data types. The U-Net architecture performs well in reconstructing concentration fields, regardless of the data type. Exponents in Archie's law are fitted to describe the dependence of effective diffusion on porosity.

SCIENTIFIC REPORTS (2023)

Article Engineering, Multidisciplinary

A new system for measuring boom displacement in a field crop sprayer

Zdzis law Kaliniewicz, Adam Lipinski, Piotr Markowski, Piotr Szczyglak, Seweryn Lipinski

Summary: This study proposes an innovative system to measure the displacement of a sprayer boom's tips and calculate their velocity and acceleration. The system measures the length of measuring cables attached at the end of the sprayer boom's tips, and utilizes absolute rotary encoders with measuring reels and tension springs to determine the position changes of the boom arms in both the horizontal and vertical directions.

MEASUREMENT (2023)

Article Agriculture, Multidisciplinary

Influence of the instability of the field crop sprayer boom on the spraying uniformity

Adam Jozef Lipinski, Seweryn Lipinski, Patrik Burg, Szczepan Michas Sobotka

Summary: The study aimed to investigate the influence of the instability of the sprayer field boom on the amount of working fluid applied to the sprayed plants. The experiment found that obstacles significantly affected the spraying quality, with the LD nozzle performing the best in terms of fluid dosage and stability of results, making it suitable for spraying fields with rough surfaces.

JOURNAL OF AGRICULTURE AND FOOD RESEARCH (2022)

Article Mechanics

An efficient method of tortuosity estimation

W. Sobieski

Summary: This paper presents a comparative analysis of tortuosity calculations in two types of 2D random geometries using different methods. A new iterative algorithm for streamline tortuosity calculation is proposed. The study demonstrates that calculating streamlines exiting local inlet velocity maxima provides a good alternative with significantly shorter computation time.

ARCHIVES OF MECHANICS (2022)

Article Mechanics

USE OF OPTOELECTRONIC SYSTEM FOR THE FREQUENCY ANALYSIS OF CAVITATING FLOW

Seweryn Lipinski, Agnieszka Niedzwiedzka

Summary: Cavitation is commonly observed in hydraulic systems and can cause harm, with difficulty in observation being a basic problem. This article discusses the use of an optoelectronic system to record the shape of cavitation cloud and analyze its frequency. The obtained results show promise in providing additional information on cavitation parameters through frequency analysis.

ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING (2021)

No Data Available