journal article·2022-03-30

Highly Anisotropic Thermal Conductivity of Three-Dimensional Printed Boron Nitride-Filled Thermoplastic Polyurethane Composites: Effects of Size, Orientation, Viscosity, and Voids

Haichang Guo, Hongyu Niu, Haoyuan Zhao, Lei Kang, Yanjuan Ren, Ruicong Lv, Liucheng Ren, Muhammad Maqbool, Akbar Bashir, Shulin Bai

ACS Applied Materials & Interfaces· Volume 14· Issue 12
Publisher page

Abstract

Extrusion-based three-dimensional (3D) printing techniques usually exhibit anisotropic thermal, mechanical, and electric properties due to the shearing-induced alignment during extrusion. However, the transformation from the extrusion to stacking process is always neglected and its influence on the final properties remains ambiguous. In this work, we adopt two different sized boron nitride (BN) sheets, namely, small-sized BN (S-BN) and large-sized BN (L-BN), to explore their impact on the orientation degree, morphology, and final anisotropic thermal conductivity (TC) of thermoplastic polyurethane (TPU) composites by fused deposition modeling. The transformation from one-dimensional axial alignment in the extruded filament to two-dimensional alignment (horizontal and vertical alignment) in the stacking filament of BN sheets is observed, and its impact on anisotropic TC in three directions is clarified. It is found that L-BN/TPU composites show a high TC of 6.45 W m–1 K–1 at 60 wt % BN content along the printing direction, while at a lower content (<40 wt %), S-BN/TPU composites exhibit a higher TC than L-BN/TPU composites. Effects of orientation, viscosity, and voids are comprehensively considered to elucidate such differences. Finally, heat dissipation tests demonstrate the great potential of 3D printed BN/TPU composites to be used in thermal management applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Thermal properties of materials · Heat Transfer and Optimization · Advanced Thermoelectric Materials and Devices

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

Affiliations

School of Materials Science and Engineering, HEDPS, Center for Applied Physics and Technology, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Peking University, Beijing 100871, China

National Synchrotron Radiation Laboratory, Anhui Provincial Engineering Laboratory of Advanced Functional Polymer Film, CAS Key Laboratory of Soft Matter Chemistry, University of Science and Technology of China, Hefei 230026, China

Funding

Ministry of Science and Technology of the People's Republic of China

References (59)

Show source-provided references
1. 10.1016/j.mattod.2014.04.00310.1016/j.mattod.2014.04.003 ↗
2. 10.1002/adma.20170554410.1002/adma.201705544 ↗
3. 10.1016/j.coco.2020.10043010.1016/j.coco.2020.100430 ↗
4. 10.1038/nmat306410.1038/nmat3064 ↗
5. 10.1016/j.pmatsci.2018.10.00210.1016/j.pmatsci.2018.10.002 ↗
6. 10.1021/am401939z10.1021/am401939z ↗
7. 10.1039/C3CS60260E10.1039/C3CS60260E ↗
8. 10.1039/C8RA02685H10.1039/C8RA02685H ↗
9. 10.1039/C9NR03915E10.1039/C9NR03915E ↗
10. 10.1016/j.compscitech.2017.09.03210.1016/j.compscitech.2017.09.032 ↗
11. 10.1002/adfm.20190041210.1002/adfm.201900412 ↗
12. 10.1021/acsnano.0c0593110.1021/acsnano.0c05931 ↗
13. 10.1016/j.compositesa.2019.03.04410.1016/j.compositesa.2019.03.044 ↗
14. 10.1021/acsami.9b1081010.1021/acsami.9b10810 ↗
15. 10.1016/j.compositesb.2018.02.00810.1016/j.compositesb.2018.02.008 ↗
16. 10.1021/acsami.0c1154310.1021/acsami.0c11543 ↗
17. 10.1021/acsnano.8b0629010.1021/acsnano.8b06290 ↗
18. 10.1016/j.compositesa.2019.02.02610.1016/j.compositesa.2019.02.026 ↗
19. 10.1016/j.cej.2020.12776410.1016/j.cej.2020.127764 ↗
20. 10.1039/C5CS00714C10.1039/C5CS00714C ↗
21. 10.1016/j.apmt.2017.02.00410.1016/j.apmt.2017.02.004 ↗
22. 10.1021/acsnano.0c1076810.1021/acsnano.0c10768 ↗
23. 10.1021/acsnano.9b0420210.1021/acsnano.9b04202 ↗
24. 10.1016/j.compositesb.2018.02.01210.1016/j.compositesb.2018.02.012 ↗
25. 10.1016/j.nanoms.2019.03.00310.1016/j.nanoms.2019.03.003 ↗
26. 10.1016/j.compositesa.2019.10568410.1016/j.compositesa.2019.105684 ↗
27. 10.1073/pnas.200307911710.1073/pnas.2003079117 ↗
28. 10.1126/science.aaa650210.1126/science.aaa6502 ↗
29. 10.1021/acsnano.0c0950310.1021/acsnano.0c09503 ↗
30. 10.1016/j.cej.2020.12492910.1016/j.cej.2020.124929 ↗
31. 10.1016/j.compositesa.2019.10557810.1016/j.compositesa.2019.105578 ↗
32. 10.1371/journal.pone.019837010.1371/journal.pone.0198370 ↗
33. 10.1038/s41565-018-0330-910.1038/s41565-018-0330-9 ↗
34. Shmueli Y. · 2019
35. 10.1002/macp.20120031710.1002/macp.201200317 ↗
36. 10.1016/j.addma.2017.12.01310.1016/j.addma.2017.12.013 ↗
37. 10.1063/1.504708810.1063/1.5047088 ↗
38. 10.1039/C3MH00144J10.1039/C3MH00144J ↗
39. 10.1016/j.cej.2020.12621810.1016/j.cej.2020.126218 ↗
40. 10.1016/j.compscitech.2017.03.03510.1016/j.compscitech.2017.03.035 ↗
41. 10.1038/ncomms158310.1038/ncomms1583 ↗
42. 10.1002/adma.20150127110.1002/adma.201501271 ↗
43. 10.1021/am400615z10.1021/am400615z ↗
44. 10.1016/j.compscitech.2018.03.02810.1016/j.compscitech.2018.03.028 ↗
45. 10.1016/j.compscitech.2018.11.03510.1016/j.compscitech.2018.11.035 ↗
46. 10.1038/s41598-019-50985-510.1038/s41598-019-50985-5 ↗
47. 10.1177/095400831986204410.1177/0954008319862044 ↗
48. 10.1021/nn502486x10.1021/nn502486x ↗
49. 10.1002/pat.348110.1002/pat.3481 ↗
50. 10.1021/acsami.6b0840410.1021/acsami.6b08404 ↗
51. 10.1016/j.matt.2020.02.00110.1016/j.matt.2020.02.001 ↗
52. 10.1002/pc.2519810.1002/pc.25198 ↗
53. 10.1021/acs.nanolett.8b0055510.1021/acs.nanolett.8b00555 ↗
54. 10.1016/j.ceramint.2020.05.09610.1016/j.ceramint.2020.05.096 ↗
55. 10.1016/j.coco.2020.03.01210.1016/j.coco.2020.03.012 ↗
56. 10.1016/j.compositesa.2021.10658610.1016/j.compositesa.2021.106586 ↗
57. 10.1002/mame.20210071510.1002/mame.202100715 ↗
58. 10.1016/j.porgcoat.2012.08.01810.1016/j.porgcoat.2012.08.018 ↗
59. Smith M. · 2019 · 62610.1109/ITHERM.2019.8757285 ↗