journal article·2024-11Open access

A Melt Electrowriting Toolbox for Automated G‐Code Generation and Toolpath Correction of Flat and Tubular Constructs

Brenna L. Devlin, Shahak Kuba, Patrick C. Hall, Audrey B. McCosker, Edmund Pickering, Paul D. Dalton, Travis J. Klein, Maria A. Woodruff, Naomi C. Paxton

Advanced Materials Technologies· Volume 9· Issue 22

Abstract

Abstract Despite the growing significance of generating highly porous, high‐precision 3D printed scaffolds using melt electrowriting (MEW), the absence of easy‐to‐use and robust design and g‐code generation tools hinders its effectiveness and widespread adoption. This article introduces a versatile scaffold design workflow for MEW fabrication, drawing on learnings in scaffold design and fabrication optimization from pioneers in the field and unifies innovative approaches into one user‐friendly platform. The application contains a library of validated flat and tubular patterns, as well as incorporating automated solutions to common challenges such as scaffold dimension fitting and toolpath corrections previously reported in the literature and historically challenging to deploy into new g‐codes. Available to users via GitHub, this application readily generates a g‐code that compensates for MEW fiber lag across diverse geometries on a variety of flat and cylindrical collectors. The application's capabilities are demonstrated through proof‐of‐concept prints, including layer‐shifting strategies, and their effects on scaffold mechanical properties. By integrating design flexibility, layer‐shifting strategies, and advanced visualization, this application streamlines the MEW scaffold design process, offering a valuable tool for researchers and promises to both advance the field and enable greater access to tools required to produce high‐quality, reproducible scaffolds.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Modular Robots and Swarm Intelligence · Advanced Materials and Mechanics

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

Affiliations

School of Mechanical Medical and Process Engineering Queensland University of Technology (QUT) Brisbane 4000 Australia

Centre for Biomedical Technologies Queensland University of Technology (QUT) Brisbane 4000 Australia

School of Mathematical Sciences Queensland University of Technology (QUT) Brisbane 4000 Australia

Phil and Penny Knight Campus for Accelerating Scientific Impact University of Oregon (UO) Oregon 97403 USA

Funding

Advance Queensland

References (76)

Show source-provided references
1. 10.1021/acsami.0c1483110.1021/acsami.0c14831 ↗
2. 10.3389/fbioe.2020.0079310.3389/fbioe.2020.00793 ↗
3. 10.3390/cells1121345010.3390/cells11213450 ↗
4. 10.1016/j.biomaterials.2022.12140510.1016/j.biomaterials.2022.121405 ↗
5. 10.3389/fbioe.2020.61736410.3389/fbioe.2020.617364 ↗
6. 10.1002/adma.20230075610.1002/adma.202300756 ↗
7. 10.1088/1758-5090/ab47f010.1088/1758-5090/ab47f0 ↗
8. 10.1016/j.actbio.2021.11.01210.1016/j.actbio.2021.11.012 ↗
9. 10.1021/acs.nanolett.4c0154010.1021/acs.nanolett.4c01540 ↗
10. 10.1002/mame.20200068510.1002/mame.202000685 ↗
11. 10.1002/adma.20170657010.1002/adma.201706570 ↗
12. 10.1002/advs.20190295310.1002/advs.201902953 ↗
13. 10.1002/adma.20210051910.1002/adma.202100519 ↗
14. 10.1002/smtd.20220158910.1002/smtd.202201589 ↗
15. 10.1002/mame.20220045010.1002/mame.202200450 ↗
16. 10.1002/adfm.20221076410.1002/adfm.202210764 ↗
17. 10.1002/admt.20220206310.1002/admt.202202063 ↗
18. 10.1002/adfm.20190466410.1002/adfm.201904664 ↗
19. 10.1016/j.matdes.2018.05.03610.1016/j.matdes.2018.05.036 ↗
20. Wunner F. M. · J Vis Exp · 2017 · 2017
21. 10.1002/admt.20220025910.1002/admt.202200259 ↗
22. 10.1002/adfm.20211071610.1002/adfm.202110716 ↗
23. 10.1002/adhm.20220102810.1002/adhm.202201028 ↗
24. 10.1016/j.jmbbm.2020.10369510.1016/j.jmbbm.2020.103695 ↗
25. 10.1002/admt.20230119010.1002/admt.202301190 ↗
26. Ross M. T. · Int. J. Bioprint. · 2021 · 2310.1016/j.bprint.2021.e00158 ↗
27. 10.1016/j.matdes.2019.10827410.1016/j.matdes.2019.108274 ↗
28. 10.1021/acsami.7b0861710.1021/acsami.7b08617 ↗
29. 10.1002/adhm.20180132610.1002/adhm.201801326 ↗
30. 10.1016/j.actbio.2020.06.01110.1016/j.actbio.2020.06.011 ↗
31. 10.1002/adhm.20200208910.1002/adhm.202002089 ↗
32. 10.3390/polym1404076310.3390/polym14040763 ↗
33. 10.1002/smll.20190087310.1002/smll.201900873 ↗
34. 10.1002/adfm.20230278610.1002/adfm.202302786 ↗
35. 10.1002/adem.20220047910.1002/adem.202200479 ↗
36. 10.1016/j.matdes.2022.11046610.1016/j.matdes.2022.110466 ↗
37. 10.1088/1758-5090/ad0ee110.1088/1758-5090/ad0ee1 ↗
38. 10.1021/acsmacrolett.0c0064410.1021/acsmacrolett.0c00644 ↗
39. 10.1016/j.matdes.2020.10878710.1016/j.matdes.2020.108787 ↗
40. 10.1002/adfm.20220141410.1002/adfm.202201414 ↗
41. 10.1021/acsbiomaterials.2c0010910.1021/acsbiomaterials.2c00109 ↗
42. 10.3390/jfb1302007510.3390/jfb13020075 ↗
43. 10.1039/D2NJ01612E10.1039/D2NJ01612E ↗
44. 10.1088/1758-5090/ac41a110.1088/1758-5090/ac41a1 ↗
45. 10.1002/adhm.20210206810.1002/adhm.202102068 ↗
46. 10.1021/acsabm.0c0121310.1021/acsabm.0c01213 ↗
47. 10.1002/adma.20210122810.1002/adma.202101228 ↗
48. 10.1016/j.bioadv.2023.21370810.1016/j.bioadv.2023.213708 ↗
49. 10.1021/acsbiomaterials.3c0085110.1021/acsbiomaterials.3c00851 ↗
50. 10.1016/j.bioactmat.2022.07.01410.1016/j.bioactmat.2022.07.014 ↗
51. 10.1016/j.ceramint.2022.10.31910.1016/j.ceramint.2022.10.319 ↗
52. 10.1002/adfm.20220658310.1002/adfm.202206583 ↗
53. 10.1016/j.actbio.2022.07.02310.1016/j.actbio.2022.07.023 ↗
54. 10.1016/j.matdes.2022.11078110.1016/j.matdes.2022.110781 ↗
55. 10.1002/mame.20230016810.1002/mame.202300168 ↗
56. 10.1016/j.actbio.2018.03.02310.1016/j.actbio.2018.03.023 ↗
57. 10.1039/D1BM00461A10.1039/D1BM00461A ↗
58. 10.1016/j.cej.2023.14577610.1016/j.cej.2023.145776 ↗
59. 10.1002/adfm.20190988010.1002/adfm.201909880 ↗
60. 10.1002/admt.20210167610.1002/admt.202101676 ↗
61. 10.1016/j.jmbbm.2020.10363110.1016/j.jmbbm.2020.103631 ↗
62. 10.1016/j.healun.2022.03.01410.1016/j.healun.2022.03.014 ↗
63. 10.1002/adfm.20190598710.1002/adfm.201905987 ↗
64. 10.1002/marc.20230042410.1002/marc.202300424 ↗
65. 10.1002/adma.20200187410.1002/adma.202001874 ↗
66. 10.3390/polym1007071510.3390/polym10070715 ↗
67. N.Toosisaidy From native valvular biomechanics to personalised heart valve tissue engineering: Convergence of biomimetic design approach and melt electrowriting PhD Thesis Queensland University of Technology 2020.
68. 10.1002/adbi.20200007710.1002/adbi.202000077 ↗
69. 10.1002/admt.20200077210.1002/admt.202000772 ↗
70. 10.1002/admt.20210034510.1002/admt.202100345 ↗
71. 10.1016/j.addma.2022.10303510.1016/j.addma.2022.103035 ↗
72. 10.1016/j.addma.2023.10360410.1016/j.addma.2023.103604 ↗
73. 10.1126/scirobotics.adh247910.1126/scirobotics.adh2479 ↗
74. 10.1002/adma.20220924410.1002/adma.202209244 ↗
75. 10.1016/B978-0-08-101745-6.00003-710.1016/B978-0-08-101745-6.00003-7 ↗
76. 10.1116/1.491438010.1116/1.4914380 ↗