Application of Tomographic Reconstruction Techniques for Density Analysis of Green Bodies

TL;DR

This paper introduces a destructive, cost-effective method using CNC milling and computational tomography techniques to evaluate green body density distribution, validated through simulation and applied to alumina samples.

Contribution

It presents a novel destructive approach for green body density analysis combining CNC milling with computational tomography, offering an alternative to traditional non-destructive methods.

Findings

The virtual experiment showed good correspondence between reconstructed and original density fields.

The method successfully evaluated the density distribution of an alumina green body.

Reconstruction accuracy was satisfactory in practical application.

Abstract

Progress in the manufacturing of ceramics, but also of sintered metals, strongly relies on the evaluation of the density distribution in green bodies. This evaluation is crucial from many points of view, including the calibration of constitutive models for \textit{in-silico} simulation of densification processes. To this end, X-ray tomography and other techniques are possible but can be unmanageable for some institutions. Therefore, a destructive method is introduced in the present article to measure the density field of a green body sample using a CNC mill, an analytical balance, and analysis techniques from the field of computational tomography. A virtual experiment is presented where the method is used to reconstruct a simulated green body density field and is found to satisfactorily correspond to the original solution. The green body density field of a truncated cylinder made of alumina powder is evaluated using this method and the reconstructed field is presented.