Jiri Nohava

Dr. Jiri Nohava

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015 in Tribology International
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Journal Article
Closed access
JNJiri Nohava
Jiri Nohava
PDPascal Dessarzin
Pascal Dessarzin
PKPavla Karvankova
Pavla Karvankova
MMMarcus Morstein
Marcus Morstein

1 December 2020 in Journal of the Mechanical Behavior of Biomedical Materials
Verified
Journal Article
Closed access
MHMaria Herbster
Maria Herbster
JDJoachim Döring
Joachim Döring
JNJiri Nohava
Jiri Nohava
CLChristoph H. Lohmann
Christoph H. Lohmann
THThorsten Halle
Thorsten Halle
JBJessica Bertrand
Jessica Bertrand

10 December 2020 in Polymers
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Journal Article
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Miroslav SloufMiroslav Slouf
Miroslav Slouf
BSBeata Strachota
Beata Strachota
ASAdam Strachota
Adam Strachota
VGVeronika Gajdosova
Veronika Gajdosova
VBVendulka Bertschova
Vendulka Bertschova
JNJiri Nohava
Jiri Nohava
This work is focused on the comparison of macro-, micro- and nanomechanical properties of a series of eleven highly homogeneous and chemically very similar polymer networks, consisting of diglycidyl ether of bisphenol A cured with diamine terminated polypropylene oxide. The main objective was to correlate the mechanical properties at multiple length scales, while using very well-defined polymeric materials. By means of synthesis parameters, the glass transition temperature (Tg) of the polymer networks was deliberately varied in a broad range and, as a result, the samples changed their mechanical behavior from very hard and stiff (elastic moduli 4 GPa), through semi-hard and ductile, to very soft and elastic (elastic moduli 0.006 GPa). The mechanical properties were characterized in macroscale (dynamic mechanical analysis; DMA), microscale (quasi-static microindentation hardness testing; MHI) and nanoscale (quasi-static and dynamic nanoindentation hardness testing; NHI). The stiffness-related properties (i.e., storage moduli, indentation moduli and indentation hardness at all length scales) showed strong and statistically significant mutual correlations (all Pearson′s correlation coefficients r > 0.9 and corresponding p-values < 0.001). Moreover, the relations among the stiffness-related properties were approximately linear, in agreement with the theoretical prediction. The viscosity-related properties (i.e., loss moduli, damping factors, indentation creep and elastic work of indentation at all length scales) reflected the stiff-ductile-elastic transitions. The fact that the macro-, micro- and nanomechanical properties exhibited the same trends and similar values indicated that not only dynamic, but also quasi-static indentation can be employed as an alternative to well-established DMA characterization of polymer networks.

8 February 2018 in Journal of Biomedical Materials Research Part A
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Journal Article
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JNJiri Nohava
Jiri Nohava
MSMichael Swain
Michael Swain
SLStefan J. Lang
Stefan J. Lang
PMPhilip Maier
Philip Maier
SHSonja Heinzelmann
Sonja Heinzelmann
PEPhilipp Eberwein
Philipp Eberwein

1 February 2014 in Surface and Coatings Technology
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Journal Article
Closed access
JNJiri Nohava
Jiri Nohava
RMRadek Mušálek
Radek Mušálek
JMJiří Matějíček
Jiří Matějíček
MVMonika Vilémová
Monika Vilémová

1 March 2019 in Biotribology
Verified
Journal Article
Closed access
CVCharlotte Voutat
Charlotte Voutat
JNJiri Nohava
Jiri Nohava
JWJasmin Wandel
Jasmin Wandel
PZPhilippe Zysset
Philippe Zysset