Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-27T01:49:21.140Z Has data issue: false hasContentIssue false
  • English
  • Français

Melt Mixed Polymer-MWCNT Composites for Liquid Sensing Applications

Published online by Cambridge University Press:  25 April 2012

Petra Pötschke ,
Tobias Villmow ,
Sven Pegel ,
Andreas John  and
Rosina Rentenberger
Petra Pötschke
Affiliation:
Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, 01069 Dresden, Germany
Tobias Villmow
Affiliation:
Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, 01069 Dresden, Germany
Sven Pegel
Affiliation:
Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, 01069 Dresden, Germany
Andreas John
Affiliation:
Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, 01069 Dresden, Germany
Rosina Rentenberger
Affiliation:
Leibniz Institute of Polymer Research Dresden, Hohe Strasse 6, 01069 Dresden, Germany
Get access

Abstract

Polymer/carbon nanotube (CNT) composites show next to improved mechanical, thermal, and electrical properties also sensitivity to external stimuli. A detection of environmental condition changes is possible, if it affects the electrically conductive CNT network inside the insulating polymer matrix. In case of liquid sensing, swelling of the polymer matrix due to contact with organic liquids and interactions between solvent molecules and CNTs result in a local gap enlargement between individual CNTs and/or CNT clusters, resulting in a detectable increase of electrical resistance. Accordingly, CNT based conductive polymer composites (CPCs) represent very promising candidates for the design of smart components capable of integrated monitoring. In this presentation we focus on their use as leakage detectors for organic solvents.

The sensor concept, as well as the underlying mechanism, is demonstrated for polycarbonate (PC)/CNT based CPCs on compression-molded samples. The selectivity as an important sensor property will be discussed in context with the Hansen solubility parameters and the solvent molecule’s size. The time dependent electrical response characteristic upon immersion depends on the diffusion kinetics of the specific solvent molecules into the CPC. A model allowing the calculation of the time dependent relative resistance (Rrel) change is presented considering several factors like the diffusion parameters, composite characteristics like initial resistance and geometrical values of the sensing sample. Using this model, Rrel curves of PC/MWCNT composites were simulated which fit very well the experimental data.

In order to examine the production of first prototype large area sensors, fibers and textiles based on composites of different polymer matrices with multi-walled carbon nanotubes (MWCNT) were produced. MWCNT containing fibers based on poly lactic acid (PLA) and polycaprolactone (PCL)/ polypropylene (PP) blends were produced by melt spinning and textile fabrication was performed for PCL/PLA blends. For all presented composite systems the electrical response characteristics was analyzed for various organic solvents.

Keywords

polymercompositesensor
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 1410: Symposium DD – Transport Properties in Polymer Nanocomposites II , 2012 , mrsf11-1410-dd05-04
Copyright
Copyright © Materials Research Society 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Narkis, M, Srivastava, S, Tchoudakov, R, and Breuer, O. Synthetic Metals 2000;113(1-2):29–34.Google Scholar
2. Feller, JF and Grohens, Y. Sensors and Actuators B-Chemical 2004;97(2-3):231–242.Google Scholar
3. Castro, M, Lu, JB, Bruzaud, S, Kumar, B, and Feller, JF. Carbon 2009;47(8):1930–1942.Google Scholar
4. Pötschke, P, Andres, T, Villmow, T, Pegel, S, Brünig, H, Kobashi, K, Fischer, D, and Häussler, L. Composites Science and Technology 2010;70(2):343–349.Google Scholar
5. Pötschke, P, Kobashi, K, Villmow, T, Andres, T, Paiva, MC, and Covas, JA. Composites Science and Technology 2011;71(12):1451–1460.Google Scholar
6. Rentenberger, R, Cayla, A, Villmow, T, Jehnichen, D, Campagne, C, Rochery, M, Devaux, E, and Pötschke, P. Sensors and Actuators B: Chemical 2011;160(1):22–31.Google Scholar
7. Kobashi, K, Villmow, T, Andres, T, Häussler, L, and Pötschke, P. Smart Materials & Structures 2009;18(3):035008.035001.Google Scholar
8. Villmow, T, Pegel, S, John, A, Rentenberger, R, and Pötschke, P. Materials Today 2011;14(7-8):340–345.Google Scholar
9. Villmow, T, Pegel, S, Pötschke, P, and Heinrich, G. Polymer 2011;52(10):2276–2285.Google Scholar
10. Brandrup, J, Immergut, EH, and Grulke, EA. Polymer handbook: Wiley, 1999.Google Scholar
11. Hansen, CM. Hansen solubility parameters: a user’s handbook: CRC Press, 2000.Google Scholar
12. Hildebrand, JH and Scott, RL. The solubility of nonelectrolytes: Reinhold Pub. Corp., 1950.Google Scholar
13. Hildebrand, JH and Scott, RL. Regular solutions: Prentice-Hall, 1962.Google Scholar