Abstract
An innovative identification strategy based on high power ultrasonic loading together with both infrared thermography and ultra-high speed imaging is presented in this article. It was shown to be able to characterize the visco-elastic behaviour of a polymer specimen (PMMA) from a single sample over a range of temperatures and strain-rates. The paper focuses on moderate strain-rates, i.e. from 10 to 200 s−1, and temperatures ranging from room to the material glass transition temperature, i.e. 110∘C. The main originality lies in the fact that contrary to conventional Dynamic Mechanical Thermal Analysis (DMTA), no frequency or temperature sweep is required since the experiment is designed to simultaneously produce both a heterogeneous strain-rate state and a heterogeneous temperature state allowing a local and multi-parametric identification. This article is seminal in nature and the test presented here has good potential to tackle a range of other types of high strain-rate testing situations.
Highlights
In many instances in life, materials around or within us suffer deformation at high rates
The present work demonstrates the feasibility of a multiparametric identification on a single sample and falls within an effort to invent new high-strain test methodologies based on full-field imaging and inverse identification, to both overcome the limits of standard experimental strategies and take advantage of the deformation heterogeneities to achieve a full-characterization of a material from a “one-shot” test
It has been demonstrated that using a 20 kHz high power ultrasonic excitation combined with infrared thermography and ultra-high speed imaging, a PMMA sample could be subjected to apparent strain-rates varying from less than 100 s−1 to 102 s−1 and temperatures varying from ambient to its Tg
Summary
In many instances in life, materials around or within us suffer deformation at high rates. Thanks to the significant progress in computing power and computational mechanics tools, it is possible to perform extremely detailed numerical simulations of many complex situations where materials deform at high rates, with the objective to design safer structures, assess tissue injuries or devise more effective manufacturing processes, as mentioned above. To deliver their full potential, these computations require the input of reliable and accurate mechanical constitutive models of the materials loaded at high strain-rates. This represents an important scientific bottleneck for society to fully benefit from such advances in numerical simulation
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