journal article·2021-01-02Open access

Universal converse flexoelectricity in dielectric materials via varying electric field direction

Saurav Sharma, Rajeev Kumar, Rahul Vaish

Abstract

Flexoelectricity is a symmetry independent electromechanical coupling phenomenon that outperforms piezoelectricity at micro and nanoscales due to its size-dependent behavior arising from gradient terms in its constitutive relations. However, due to this gradient term flexoelectricity, to exhibit itself, requires specially designed geometry or material composition of the dielectric material. First of its kind, the present study put forward a novel strategy of achieving electric field gradient and thereby converse flexoelectricity, independent of geometry and material composition of the material. The spatial variation of the electric field is established inside the dielectric material, Ba0.67Sr0.33TiO3 (BST), by manipulating electrical boundary conditions. Three unique patterns of electrode placement are suggested to achieve this spatial variation. This varying direction of electric field gives rise to electric field gradient, the prerequisite of converse flexoelectricity. A multi-physics coupling based theoretical framework is established to solve the flexoelectric actuation by employing isogeometric analysis (IGA). Electromechanically coupled equations of flexoelectricity are solved to obtain the electric field distribution and the resulting displacements thereby. The maximum displacements of 0.2 nm and 2.36 nm are obtained with patterns I and II, respectively, while pattern III can yield up to 85 nm of maximum displacement.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nonlocal and gradient elasticity in micro/nano structures · Vibration Control and Rheological Fluids · Composite Structure Analysis and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Engineering, Indian Institute of Technology Mandi, Mandi, India

References (48)

Show source-provided references
1. Kogan SM. · Sov Physics-Solid State · 1964 · 5
2. 10.1016/0020-7683(68)90079-610.1016/0020-7683(68)90079-6 ↗
3. 10.1103/PhysRevB.34.588310.1103/PhysRevB.34.5883 ↗
4. 10.1063/1.157051710.1063/1.1570517 ↗
5. 10.1063/1.135644410.1063/1.1356444 ↗
6. 10.1063/1.221130910.1063/1.2211309 ↗
7. 10.1063/1.186807810.1063/1.1868078 ↗
8. 10.1063/1.151855910.1063/1.1518559 ↗
9. 10.1063/1.489397410.1063/1.4893974 ↗
10. Abdollahi A, Mill D, Peco C, Arroyo M, and I. Arias I. Revisiting pyramid compression to quantify flexoelectricity : a three-dimensional simulation study. Phys. Rev. B 2015;91:104103.10.1103/PhysRevB.91.104103 ↗
11. 10.1021/nl104412b10.1021/nl104412b ↗
12. 10.1016/j.ijengsci.2017.11.02210.1016/j.ijengsci.2017.11.022 ↗
13. 10.1007/s10853-005-5916-610.1007/s10853-005-5916-6 ↗
14. 10.1115/1.402304410.1115/1.4023044 ↗
15. 10.1016/j.cma.2016.09.02910.1016/j.cma.2016.09.029 ↗
16. Zhu W, Fu JY, Li N, Cross, L. Piezoelectric composite based on the enhanced flexoelectric effects Piezoelectric composite based on the enhanced flexoelectric effects. Appl. Phys. Lett. 2006;89:192904.10.1063/1.2382740 ↗
17. Zhang XF, Hu KM and Li H. Comparison of flexoelectric and piezoelectric ring energy harvester. 2018;1–9.
18. Hamdia KM, Ghasemi H, Zhuang X, et al. Computational machine learning representation for the flexoelectricity effect in truncated pyramid structures. Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. 2019;233:3795–3803.
19. Fu JY, Zhu W, Li N, Smith N.B. and Eric Cross L. Gradient scaling phenomenon in microsize flexoelectric piezoelectric composites composites. Appl. Phys. Lett. 91 2007;91:182910.10.1063/1.2800794 ↗
20. 10.1016/j.ijengsci.2020.10321310.1016/j.ijengsci.2020.103213 ↗
21. 10.1115/1.402745110.1115/1.4027451 ↗
22. 10.1002/pssr.20110532610.1002/pssr.201105326 ↗
23. 10.1016/j.compstruct.2017.12.04010.1016/j.compstruct.2017.12.040 ↗
24. 10.1021/nl100812k10.1021/nl100812k ↗
25. Shu C · Smart Mater Struct · 2012 · 21
26. 10.1146/annurev-matsci-071312-12163410.1146/annurev-matsci-071312-121634 ↗
27. 10.1016/j.energy.2019.01.04710.1016/j.energy.2019.01.047 ↗
28. 10.1016/j.ijengsci.2017.09.00110.1016/j.ijengsci.2017.09.001 ↗
29. 10.1016/j.ijengsci.2017.02.01010.1016/j.ijengsci.2017.02.010 ↗
30. 10.1016/j.ijengsci.2019.01.00710.1016/j.ijengsci.2019.01.007 ↗
31. 10.1103/PhysRevB.77.12542410.1103/PhysRevB.77.125424 ↗
32. Wang B · Phys Rev B · 2019 · 100
33. 10.1016/j.ijsolstr.2014.05.01810.1016/j.ijsolstr.2014.05.018 ↗
34. Sharma S · Extrem Mech Lett · 2020 · 101138
35. Zhang S · Appl Phys Lett · 2019 · 114
36. 10.1177/030932471989086810.1177/0309324719890868 ↗
37. 10.1039/C5NR04722F10.1039/C5NR04722F ↗
38. 10.1016/j.mechmat.2020.10345610.1016/j.mechmat.2020.103456 ↗
39. Sharma S · Adv Theory Simul · 2000158
40. 10.1063/1.221999010.1063/1.2219990 ↗
41. 10.1134/S106378341407035X10.1134/S106378341407035X ↗
42. 10.1115/1.403133310.1115/1.4031333 ↗
43. 10.1016/j.apm.2015.12.04210.1016/j.apm.2015.12.042 ↗
44. 10.1088/1361-665X/ab472710.1088/1361-665X/ab4727 ↗
45. 10.1177/1045389X1984401310.1177/1045389X19844013 ↗
46. 10.1016/j.jmps.2020.10402010.1016/j.jmps.2020.104020 ↗
47. 10.1088/0964-1726/22/8/08501610.1088/0964-1726/22/8/085016 ↗
48. 10.1063/1.474503710.1063/1.4745037 ↗