Experimental validation of a 2D-3D conversion method for estimation of multiple 3D characteristics of discrete...

Area of Science:

• Materials Science
• Particle Technology
• Image Analysis

Background:

• Accurate three-dimensional (3D) assessment of discrete elements is crucial across various scientific and industrial fields.
• Practical limitations in time, cost, and technology often restrict analyses to two-dimensional (2D) measurements, leading to potential inaccuracies.

Purpose of the Study:

• To experimentally validate a previously developed 2D-3D conversion method for estimating 3D particle characteristics from 2D data.
• To assess the accuracy of the method in predicting key 3D parameters using silica sand as a model material.

Main Methods:

• Utilized X-ray computed tomography (CT) analysis to obtain detailed 3D data of silica sand particles.
• Employed a 2D-3D conversion algorithm (developed in 2018) to estimate 3D parameters from corresponding 2D measurements.
• Compared estimated 3D parameters with those directly measured via X-ray CT.

Main Results:

• Successfully estimated six critical 3D parameters: volume, surface area, long-axis length, sphericity, and long/middle and long/short axis ratios.
• Demonstrated accurate prediction of these 3D parameters based on five measured 2D parameters, including sectional area, perimeter, long-axis length, circularity, and long/short axis ratio.

Conclusions:

• The validated 2D-3D conversion method provides a viable and accurate approach for inferring 3D particle characteristics from 2D measurements.
• This method offers a practical solution to overcome limitations in direct 3D analysis, enhancing the assessment of discrete elements in diverse applications.