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Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
Published on: May 2, 2016
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3D Printing Elastocaloric TiNiCu Thermoelectric Shape Memory Alloys
Xizu Wang1, Xian Yi Tan1, Xiping Ni1
1Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, #08-03, Singapore, Singapore, 13863.
Chemistry, an Asian Journal
|July 22, 2024
Summary
Researchers developed 3D-printed Nitinol (TiNi) shape memory alloys for efficient thermoelectric and cooling applications. Adjusting TiNiCu composition significantly boosted thermoelectric properties, offering a sustainable alternative to traditional materials.
Area of Science:
- Materials Science
- Thermoelectrics
- Sustainable Energy
Background:
- Traditional thermoelectric materials often use toxic heavy elements (e.g., lead, tellurium) and have poor mechanical properties.
- There is a growing need for environmentally friendly and mechanically robust materials for thermoelectric conversion and cooling.
- Nitinol (TiNi) shape memory alloys present a promising alternative due to their superior mechanical characteristics and potential for sustainable applications.
Purpose of the Study:
- To investigate the thermoelectric performance and efficiency of Nitinol (TiNi) shape memory alloys using 3D melt printing techniques.
- To explore the relationship between the morphology and the electrical and thermal properties of TiNiCu materials.
- To demonstrate the feasibility of using 3D-printed shape memory alloys for advanced thermoelectric and cooling applications.
Main Methods:
- Utilized 3D melt printing techniques to fabricate Nitinol (TiNi) shape memory alloys.
- Investigated the electrical and thermal properties of TiNiCu materials.
- Analyzed the effect of adjusting Titanium (Ti) and Nickel (Ni) elemental composition on material properties and thermoelectric performance.
Main Results:
- Achieved significant improvements in thermoelectric performance for elastic memory alloys below 500°C.
- Observed a 50% increase in power factor and a 100% increase in ZT values by optimizing Ti and Ni composition.
- Demonstrated that while effect sizes were similar, fatigue behaviors varied across the tested alloys.
Conclusions:
- 3D-printed Nitinol (TiNi) shape memory alloys are feasible for thermoelectric and cooling applications.
- Optimized TiNiCu composition leads to enhanced thermoelectric properties, offering a sustainable alternative.
- This research provides an experimental foundation for developing cost-effective, efficient, and stable materials for thermal energy harvesting and management.
Keywords:
3D PrintingElastocaloricElastocaloric alloyShape Memory AlloysThermoelectricThermoelectricsTiNiCu
