journal article·2025-05-09

Constructing 3D Skeletons for Enhanced Thermal Transport in Phase-Change Materials via Double-Percolated Structures

Guohua Wu, Jieqing Shen, Shirao Huang, Zhengmao Zhang, Yongjin Li, Lijun Ye

ACS Applied Polymer Materials· Volume 7· Issue 9
Publisher page

Abstract

An efficient 3D skeleton is essential to phase-change materials (PCMs) to address poor shape stability and low thermal conductivity. While double-percolated structures are effective in forming 3D filler networks, their achievement with 2D fillers remains challenging. We herein report the preparation of a hexagonal boron nitride (h-BN) skeleton for paraffin wax (PW, as the model PCM) by constructing double-percolated structures within poly( l -lactic acid) (PLLA)/low-density polyethylene (LDPE) blends, where h-BN preferentially localizes in the LDPE phase. 3D LDPE/h-BN skeletons with high porosity are achieved by removing the PLLA phase after solvent extraction. Notably, only 7.5 wt % of LDPE (the initial weight fraction in polymer composites) is sufficient for building a robust skeleton with 50 wt % h-BN, providing a large volume for accommodating PW after removing PLLA. A series of PW-based shape-stable PCMs with competent thermal conductivity, phase-change latent heat, and mechanical strength are prepared by vacuum-assisted impregnation. The obtained PCMs (namely, PPB-10, PPB-30, and PPB-50) exhibit thermal conductivity as high as 0.40, 0.56, and 0.87 W/(m·K). The phase-change latent heat (melting enthalpy) of PPB-10, PPB-30, and PPB-50 are 140.2, 104.2, and 77.8 J/g, respectively. PPB-50 demonstrates optimum performance in the heat management of an LED module, achieving a maximum temperature reduction of 33 °C during operation. The results highlight the crucial role of improving the thermal transport efficiency to fully activate the phase change of PCMs for effective thermal management.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Phase Change Materials Research · Thermal properties of materials · Advanced Thermoelectric Materials and Devices

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

Affiliations

Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, and Zhejiang Key Laboratory of Organosilicon Material Technology, College of Material, Chemistry and Chemical Engineering

Hangzhou Normal University

Funding

National Natural Science Foundation of China · Special Support Plan for High Level Talents in Zhejiang Province

References (51)

Show source-provided references
1. 10.1016/j.ensm.2021.07.01910.1016/j.ensm.2021.07.019 ↗
2. 10.1016/j.scib.2020.10.02410.1016/j.scib.2020.10.024 ↗
3. 10.1016/j.nanoen.2024.10925610.1016/j.nanoen.2024.109256 ↗
4. 10.1016/j.mtener.2021.10088810.1016/j.mtener.2021.100888 ↗
5. 10.1016/j.est.2022.10564610.1016/j.est.2022.105646 ↗
6. 10.1002/adfm.20221345510.1002/adfm.202213455 ↗
7. 10.1016/j.jmst.2023.03.02110.1016/j.jmst.2023.03.021 ↗
8. 10.1016/j.est.2024.11049410.1016/j.est.2024.110494 ↗
9. 10.1016/j.est.2021.10357410.1016/j.est.2021.103574 ↗
10. 10.1016/j.solmat.2014.09.03210.1016/j.solmat.2014.09.032 ↗
11. 10.1021/acs.chemrev.2c0057210.1021/acs.chemrev.2c00572 ↗
12. 10.1021/acsami.1c1567010.1021/acsami.1c15670 ↗
13. 10.1016/j.jmst.2021.02.00910.1016/j.jmst.2021.02.009 ↗
14. 10.1016/j.matt.2022.07.01310.1016/j.matt.2022.07.013 ↗
15. 10.1002/advs.20220765210.1002/advs.202207652 ↗
16. 10.1039/D1EE00527H10.1039/D1EE00527H ↗
17. 10.1021/acsnano.0c0593110.1021/acsnano.0c05931 ↗
18. 10.1016/j.nanoen.2021.10594810.1016/j.nanoen.2021.105948 ↗
19. 10.1002/adma.20190509910.1002/adma.201905099 ↗
20. 10.1016/j.cej.2023.14198410.1016/j.cej.2023.141984 ↗
21. 10.1016/j.mtsust.2023.10065810.1016/j.mtsust.2023.100658 ↗
22. 10.1016/j.est.2022.10636110.1016/j.est.2022.106361 ↗
23. 10.1016/j.apenergy.2013.04.05010.1016/j.apenergy.2013.04.050 ↗
24. 10.1016/j.enconman.2022.11569310.1016/j.enconman.2022.115693 ↗
25. 10.1016/j.solmat.2024.11276210.1016/j.solmat.2024.112762 ↗
26. 10.1021/acsnano.0c0668010.1021/acsnano.0c06680 ↗
27. 10.1016/j.cej.2019.12283110.1016/j.cej.2019.122831 ↗
28. 10.1016/j.est.2024.11379610.1016/j.est.2024.113796 ↗
29. 10.1016/j.carbon.2024.11963910.1016/j.carbon.2024.119639 ↗
30. 10.1016/j.polymer.2024.12714810.1016/j.polymer.2024.127148 ↗
31. 10.1039/c0jm04543h10.1039/c0jm04543h ↗
32. 10.1016/j.polymer.2003.10.00310.1016/j.polymer.2003.10.003 ↗
33. 10.1016/j.polymer.2017.02.08210.1016/j.polymer.2017.02.082 ↗
34. 10.1016/j.compscitech.2022.10975210.1016/j.compscitech.2022.109752 ↗
35. 10.1016/j.compositesb.2016.06.03110.1016/j.compositesb.2016.06.031 ↗
36. 10.1021/acs.macromol.3c0192110.1021/acs.macromol.3c01921 ↗
37. 10.1007/BF0031080210.1007/BF00310802 ↗
38. 10.1016/j.compositesb.2019.05.00910.1016/j.compositesb.2019.05.009 ↗
39. 10.1016/j.compscitech.2013.09.02410.1016/j.compscitech.2013.09.024 ↗
40. 10.1016/j.compscitech.2016.04.02910.1016/j.compscitech.2016.04.029 ↗
41. 10.1016/j.compscitech.2020.10830610.1016/j.compscitech.2020.108306 ↗
42. 10.1021/acsapm.4c0056310.1021/acsapm.4c00563 ↗
43. 10.1016/j.compscitech.2017.02.02210.1016/j.compscitech.2017.02.022 ↗
44. 10.1021/ma200793a10.1021/ma200793a ↗
45. 10.1016/j.polymer.2011.11.03910.1016/j.polymer.2011.11.039 ↗
46. 10.1021/acsapm.4c0190510.1021/acsapm.4c01905 ↗
47. 10.1016/j.compscitech.2022.10953210.1016/j.compscitech.2022.109532 ↗
48. 10.1021/acsami.7b0241010.1021/acsami.7b02410 ↗
49. 10.1021/acsnano.3c1223310.1021/acsnano.3c12233 ↗
50. 10.1016/j.compositesb.2024.11135710.1016/j.compositesb.2024.111357 ↗
51. 10.1016/j.compositesb.2024.11193510.1016/j.compositesb.2024.111935 ↗