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Interactive Shear and Extensional Rheology—25 years of IRIS Software
by
Narimissa, Esmaeil
, Winter, H. Henning
, Wagner, Manfred H.
, Poh, Leslie
in
Amplitudes
/ Characterization and Evaluation of Materials
/ Chemistry and Materials Science
/ Complex Fluids and Microfluidics
/ Data retrieval
/ Food Science
/ Laboratories
/ Materials Science
/ Mechanical Engineering
/ Polymer Sciences
/ Review
/ Rheological properties
/ Rheology
/ Rheometry
/ Shear
/ Soft and Granular Matter
2022
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Interactive Shear and Extensional Rheology—25 years of IRIS Software
by
Narimissa, Esmaeil
, Winter, H. Henning
, Wagner, Manfred H.
, Poh, Leslie
in
Amplitudes
/ Characterization and Evaluation of Materials
/ Chemistry and Materials Science
/ Complex Fluids and Microfluidics
/ Data retrieval
/ Food Science
/ Laboratories
/ Materials Science
/ Mechanical Engineering
/ Polymer Sciences
/ Review
/ Rheological properties
/ Rheology
/ Rheometry
/ Shear
/ Soft and Granular Matter
2022
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Do you wish to request the book?
Interactive Shear and Extensional Rheology—25 years of IRIS Software
by
Narimissa, Esmaeil
, Winter, H. Henning
, Wagner, Manfred H.
, Poh, Leslie
in
Amplitudes
/ Characterization and Evaluation of Materials
/ Chemistry and Materials Science
/ Complex Fluids and Microfluidics
/ Data retrieval
/ Food Science
/ Laboratories
/ Materials Science
/ Mechanical Engineering
/ Polymer Sciences
/ Review
/ Rheological properties
/ Rheology
/ Rheometry
/ Shear
/ Soft and Granular Matter
2022
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Interactive Shear and Extensional Rheology—25 years of IRIS Software
Journal Article
Interactive Shear and Extensional Rheology—25 years of IRIS Software
2022
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Overview
Over the past 25 years, IRIS has become an integral resource in materials laboratories around the world, bringing together stimulating communities of rheology experimentalists and theoreticians, rheological experts, and experts from other fields, and even making rheology accessible to non-rheologists. The calculational tools of IRIS interface data from different experimental findings with predictions from rheology theories. Since its beginning, many theory groups used IRIS to share their original codes for rheology predictions. We demonstrate this in two examples, (1) the detailed analysis of small amplitude oscillatory shear data (SAOS) and predictions thereof and (2) a theory, newly implemented in IRIS, that elegantly unites dynamical quantities from small amplitude oscillatory shear (SAOS) with data from filament stretching rheometry and predictions of transient shear. IRIS supports this convergence with a standardizing data (Dealy et al., J Rheol 39:253-265,
1995
), which makes data sharing easy and independent of instrument brand-specific and laboratory-specific coding.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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