Published April 2021 | Version public
Journal Article

Fracture toughness of thermoelectric materials

  • 1. ROR icon Wuhan University of Technology
  • 2. ROR icon University of Nevada Reno
  • 3. ROR icon Northwestern University
  • 4. ROR icon King Fahd University of Petroleum and Minerals
  • 5. ROR icon Koç University
  • 6. ROR icon South Ural State University
  • 7. ROR icon California Institute of Technology

Abstract

The engineering applications of thermoelectric (TE) devices require TE materials possessing high TE performance and robust mechanical properties. Research on thermal and electrical transport properties of TE materials has made significant progress during the last two decades, developing TE materials on the threshold of commercial applications. However, research on mechanical strength and toughness has lagged behind, restricting application of TE materials. Mechanical failure in these materials involves multi-scale processes spanning from atomistic scale to macro scale. We have proposed an integral stress-displacement method to estimate fracture toughness from intrinsic mechanical behavior. In this review, we summarize our recent progress on fracture toughness of TE materials. This is in three parts: (1) Predicting fracture toughness of TE materials from intrinsic mechanical behavior; (2) Intrinsic mechanical behavior and underlying failure mechanism of TE materials; and (3) Nanotwin and nanocomposite strategies for enhancing the mechanical strength and fracture toughness of TE materials. These findings provide essential comprehensive understanding of fracture behavior from micro to the macro scale, laying the foundation for developing reliable TE devices for engineering applications.

Additional Information

© 2021 Published by Elsevier B.V. Received 28 December 2020, Revised 14 February 2021, Accepted 16 February 2021, Available online 26 February 2021. This work is partially supported by the NSFC (Nos. 52022074, 51772231, 51972253), the Hubei Provincial Natural Science Foundation of China (2020CFB202), Fundamental Research Funds for the Central Universities (WUT: 2020IB001, 2020IB013, 2020III031). S.M. is thankful for the support by Act 211 Government of the Russian Federation, under No. 02.A03.21.0011 and by the Supercomputer Simulation Laboratory of South Ural State University. U.A. gratefully acknowledge the financial support provided by the Scientific and Technological Research Council of Turkey (TÜBİTAK) with grant number 118M371. W.A.G thanks NSF (CBET-2005250) for support. The authors report no declarations of interest.

Additional details

Identifiers

Eprint ID
108245
DOI
10.1016/j.mser.2021.100607
Resolver ID
CaltechAUTHORS:20210301-104053764

Related works

Funding

National Natural Science Foundation of China
52022074
National Natural Science Foundation of China
51772231
National Natural Science Foundation of China
51972253
Hubei Provincial Natural Science Foundation of China
2020CFB202
Fundamental Research Funds for the Central Universities
2020IB001
Fundamental Research Funds for the Central Universities
2020IB013
Fundamental Research Funds for the Central Universities
2020III031
Russian Federation
02.A03.21.0011
South Ural State University
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)
118M371
NSF
CBET-2005250

Dates

Created
2021-03-01
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field

Caltech Custom Metadata

Other Numbering System Name
WAG
Other Numbering System Identifier
1413