|
Description
|
This document constitutes Deliverable 3.1 “Electromagnetic characterization of raw materials” in the framework of WP3 of TransZeroWaste project. The aim of WP3 is to investigate the use of microwave technology to upgrade low-quality iron ore with steel plant residues as dust and sludge. For this purpose, the design of microwave applicators is intended, which requires the knowledge of dielectric properties of raw materials. UPV performed the dielectric characterization of raw materials provided by the industrial partners (DILLINGER and CELSA). The dielectric properties of these materials have been measured as a function of temperature during microwave heating and cooling cycles. These properties give crucial information about the materials’ behaviour under the electromagnetic field, and also about their capacity to be heated by the microwave energy. The effect of the different reactions on the dielectric properties has been assessed and the implications on the design of the microwave reactor and process has been provided. In general, most of the measured samples exhibit moderate to high dielectric properties at room temperature, indicating that they are adequate materials to be efficiently heated with microwave energy. When the samples undergo transformations or reactions, their loss factor increases which means that these materials have a higher capacity to absorb microwaves. In some cases, a predominant metallic behaviour was observed at certain temperatures, accompanied by small arcs, but even in these cases the microwave heating cycles were performed at the desired heating rate and without any issue. In some trials plasma ignition or moisture evaporation were observed, being aspects that need to be addressed in the design of the microwave process, as discussed in the conclusions. Further public reports of the TransZeroWaste project: Publications - TransZeroWaste (2025-09-29)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.17079439 for the original and latest version of the dataset and data downloads*** (2025-10-01)
|