Method Article

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

DOI:

10.3791/53626

May 2nd, 2016

In This Article

Summary

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Experimental methods for investigation of solid state cooling processes and characterization of elastocaloric material properties of Shape Memory Alloys (SMA) are presented. A custom-built test rig has been designed for controlling and comprehensive monitoring of elastocaloric cooling processes. Furthermore, it provides a validation platform for thermomechanically coupled modeling approaches.

Abstract

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Shape Memory Alloys (SMA) using elastocaloric cooling processes have the potential to be an environmentally friendly alternative to the conventional vapor compression based cooling process. Nickel-Titanium (Ni-Ti) based alloy systems, especially, show large elastocaloric effects. Furthermore, exhibit large latent heats which is a necessary material property for the development of an efficient solid-state based cooling process. A scientific test rig has been designed to investigate these processes and the elastocaloric effects in SMAs. The realized test rig enables independent control of an SMA's mechanical loading and unloading cycles, as well as conductive heat transfer between SMA cooling elements and a heat source/sink. The test rig is equipped with a comprehensive monitoring system capable of synchronized measurements of mechanical and thermal parameters. In addition to determining the process-dependent mechanical work, the system also enables measurement of thermal caloric aspects of the elastocaloric cooling effect through use of a high-performance infrared camera. This combination is of particular interest, because it allows illustrations of localization and rate effects — both important for efficient heat transfer from the medium to be cooled.

The work presented describes an experimental method to identify elastocaloric material properties in different materials and sample geometries. Furthermore, the test rig is used to investigate different cooling process variations. The introduced analysis methods enable a differentiated consideration of material, process and related boundary condition influences on the process efficiency. The comparison of the experimental data with the simulation results (of a thermomechanically coupled finite element model) allows for better understanding of the underlying physics of the elastocaloric effect. In addition, the experimental results, as well as the findings based on the simulation results, are used to improve the material properties.

Introduction

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Solid state cooling processes based on ferroic materials have potential to be environmentally friendly alternatives to the conventional vapor compression based process. Ferroic materials may exhibit magnetocaloric, electrocaloric and elastocaloric effects 1,2, as well as combinations of these effects, which are described as multicaloric material behavior 3. The different caloric effects in ferroic materials are currently being investigated as part of the German Science Foundation (DFG) Priority program SPP 1599 "Caloric Effects in Ferroic Materials: New Concepts for Cooling" 4. Shape Memory Alloys (SMA) which are investigate....

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Protocol

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1. Sample Preparation

  1. Measure the SMA ribbon with calipers and determine the cross section of the sample.
  2. Prepare the sample for IR measurements by coating the ribbon with a thin layer of high emissivity (ε=0.96) paint.
    Caution: The paint is classified as an irritant. Gloves, safety glasses and mouth protection must be worn during the processing of the paint.

2. Material Stabilization (Training)

Note: Initial mechanical cycling leads to a mechanical and thermal material stabilization. The investigation of the stabilization effect, and the training procedure itself, requires....

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Results

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Material stabilization (Training):

Figure 9 shows a stress/strain diagram of 50 training cycles. The investigated sample is a Ni-Ti ribbon with a cross section of A = 1.45 mm2. The applied strain rate of 1 x 10-3 sec-1 leads to a mean temperature increase of ΔT = 12.2 K. The temperature increase has a significant influence on the stabilization effect 12-

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Discussion

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The presented scientific test rig enables comprehensive investigation of elastocaloric materials and cooling processes by performing the experiments described in the protocol section. Precise alignment of the sample before clamping is crucial for all the experiments. Bad alignment can potentially lead to early material failure. Furthermore, the maximum applied strain has significant influence on the material lifetime, whereas the required strain to reach a complete phase transformation depends on the alloy composition. T.......

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Disclosures

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The authors have nothing to disclose.

Acknowledgements

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The authors would like to acknowledge the support of the DFG priority program 1599 "Caloric effects in ferroic materials: New concepts for cooling" (Projects: EG101/23-1, SCHU2217/2-1, SE704/2-1, EG101/29-2, SCH2217/3-2, SE704/2-2). 

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Linear direct drivesESR-PollmeierML 1418-U5-W1SMA loading/unloading; heat transfer
Pneumatic cylinder FestoADNGF-40 574031Contact between heat source/sink and SMA
Inductive position measurement system AMOLMKA-1101.1NN-1.0-0
Tension and compression load cellFutekLCF451; FSH02241SMA force
Compression load cellFutekLTH300; FSH00297Contact force
IR cameraInfra TecImage IR 9360; M911291,280 x 1,024 pixels; Maximum frame rate 3,200 Hz
Real-Time Controller National InstrumentsNI CompactRIO-9074Data acquisiton and control system
Camera varnishTetenal105202

References

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  1. Fähler, S., Rößler, U. K., et al. Caloric effects in ferroic materials: New concepts for cooling. Adv. Eng. Mater. 14 (1-2), 10-19 (2012).
  2. Moya, X., Defay, E., Heine, V., Mathur, N. D. Too cool to work. Nat. Phys. 11 (3), 202-205 (2015).
  3. Starkov, I. A., Starkov, A. S.

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Tags

Elastocaloric CoolingShape Memory AlloysNickel Titanium AlloysMechanical Loading ControlInfrared ThermographyFinite Element ModelingThermal Caloric MeasurementsProcess Efficiency AnalysisMaterial Property OptimizationExperimental Test Rig

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