PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 20, 2026tm - Technisches Messen0 citations

Temperature influence on electrical impedance spectra used to monitor dry molding materials in the foundry industry

View Full Paper
LBLuca BifanoLPLara PötzingerGFGerhard Fischerauer

Key Points

  • To investigate the impact of temperature on electrical impedance spectra for monitoring molding materials in foundries.
  • Recorded impedance spectra from measuring cells filled with various molding materials.
  • Analyzed impedance data across a frequency range from 500 Hz to 1 MHz.
  • Evaluated reproducibility and quantifiability of temperature dependence in measurement.
  • Impedances were measured reproducibly across the frequency range.
  • Reproducibility increased with frequency.
  • Temperature changes led to impedance magnitude variations up to 34%.
  • Temperature dependence varied based on molding material composition and frequency.

Abstract

Abstract Condition monitoring of molding material preparation processes in foundries can help to improve the processes in terms of energy consumption and use of resources. Electrical impedance spectroscopy is a suitable method for this purpose but influence effects must be carefully taken into account in field applications. Temperature, in particular, plays an important role in foundry processes and can be expected to strongly interfere with the extraction of condition information from impedance spectra. To shed light on the details of this temperature influence, we have recorded impedance spectra of measuring cells filled with molding material (quartz sand, used core sand, and regenerated material) in the frequency range from 500 Hz to 1 MHz and have evaluated the spectra with respect to their reproducibility and the quantifiability of their temperature dependence. It was found that the impedances could be measured reproducibly across the entire frequency range, with reproducibility increasing with frequency. In addition, the temperature dependence was observed to be a function of both of the molding-material composition and the frequency. Numerically, the temperature caused impedance magnitude changes of up to 34 % in the worst cases. This suggests that one should either control the temperature of molding-material samples during measurement or that the feature combination of impedance spectrum plus temperature should be used in data interpretation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bifano et al. (2026) studied this question.

synapsesocial.com/papers/696f1a849e64f732b51eec5ehttps://doi.org/10.1515/teme-2025-0148
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines2024 · 2 citations
  2. 2Differential impedance analysis — Extensions and applications in machine learning2024 · 1 citations
  3. 3Impedance Spectroscopy2018 · 460 citations
  4. 4Machine learning approach for full impedance spectrum study of Li-ion battery2020 · 5 citations
  5. 5Impedance Spectroscopy2018 · 64 citations