Evaluation of industrial cutting fluids using electrochemical impedance spectroscopy and multivariate data analysis

In this paper we explore the combination of electrochemical impedance spectroscopy (EIS) and multivariate data analysis to evaluate the concentration and pH of an industrial cutting fluid. These parameters are vital for the performance of for instance tooling processes, and an on-line quality monito...

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Bibliographic Details
Published in:Talanta (Oxford) 2012-08, Vol.97, p.468-472
Main Authors: Ulrich, Christian, Dan, Louthander, Mårtensson, Per, Kluftinger, André, Gawronski, Michael, Björefors, Fredrik
Format: Article
Language:English
Subjects:
Analytical chemistry
Chemical engineering
Chemical process and manufacturing engineering
Chemistry
Chemistry with specialization in Inorganic Chemistry
Cutting fluid
Cutting fluids
Data processing
Electrochemical impedance spectroscopy
Electrochemistry
Elektrokemi
Exact sciences and technology
General, instrumentation
Inorganic chemistry
Kemi
Kemi med inriktning mot oorganisk kemi
Kemisk process- och produktionsteknik
Kemiteknik
Least squares method
Monitoring
NATURAL SCIENCES
NATURVETENSKAP
On-line systems
Oorganisk kemi
Partial least squares
Regression
Sensor
TECHNOLOGY
TEKNIKVETENSKAP
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Summary:In this paper we explore the combination of electrochemical impedance spectroscopy (EIS) and multivariate data analysis to evaluate the concentration and pH of an industrial cutting fluid. These parameters are vital for the performance of for instance tooling processes, and an on-line quality monitoring system would in such applications be very beneficial. It is shown that both the total impedance and the phase angle contain information that allows the simultaneous discrimination of the concentration and the pH. The final evaluation was conducted using the regression technique partial least squares (PLS), and this approach provided a way to quickly and easily find the correlation between EIS data and the sought parameters. The possibility to estimate both the concentration and pH level clearly indicates the potential of this method to be implemented for on-line evaluation. ► Interpretation of impedance data via multivariate data analysis. ► Identification of vital frequency regions for parameter discrimination. ► Simultaneous estimation of concentration and pH.
ISSN:0039-9140
1873-3573
1873-3573
DOI:10.1016/j.talanta.2012.05.001