Research Data:
Determination of the bentonite content in molding sands using AI-enhanced electrical impedance spectroscopy

datacite.resourcetypeDataset
dc.contributor.authorMa, Xiaohu
dc.contributor.authorFischerauer, Alice
dc.contributor.authorHaacke, Sebatian
dc.contributor.authorFischauer, Gerhard
dc.contributor.supervisorFischerauer, Gerhard
dc.date.accessioned2024-11-25T13:14:25Z
dc.date.available2024-11-25T13:14:25Z
dc.date.issued2024
dc.description.abstractMUT-InfoMo data contains the measured raw impedance data recorded by Agilent E4980A LCR meter in a frequency range from 20 Hz to 1 MHz, along with water content and sample density. The measuring cell consists of two opposing electrodes embedded within the inner wall of a cylindrical chamber with a diameter of 5 cm. The electrodes, made from C45 steel, are insulated from the chamber walls using retaining rings fabricated from polyetheretherketone (PEEK). The measurements were performed at laboratory conditions. Columns from 1:201 are the real components of Impedance spectrum. Columns from 202:402 are the negative imaginary component of Impedance spectrum. Column 403 is the water content, column 404 is the density, column 405 is the target variable bentonite content. Finally, an excel data files was stored, with which the FCNNs were trained and tested.N/A
dc.identifier.urihttps://rdspace.uni-bayreuth.de/handle/rdspace-ubt/288
dc.identifier.urihttps://doi.org/10.57880/rdspace-ubt-3
dc.rights.licenseCreative Commons Attribution 4.0 International
dc.rights.spdx-idCC-BY-4.0
dc.rights.urihttps://spdx.org/licenses/CC-BY-4.0.html
dc.titleDetermination of the bentonite content in molding sands using AI-enhanced electrical impedance spectroscopyN/A
dc.typeDataset
dspace.entity.typeResearchData
local.assignedto.chairChair of Measurement and Control Systems > Lehrstuhl für Mess- und Regeltechnik
local.assignedto.facultyUniversity of Bayreuth > Faculty of Engineering Science > Fakultät für Ingenieurwissenschaften
local.assignedto.professorshipProfessorship of Measurement and Control Systems > Professur für Mess- und Regeltechnik
local.assignedto.universityUniversity of BayreuthnullUniversität Bayreuth
local.retention.typepublication
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