Preview

Journal of the Russian Universities. Radioelectronics

Advanced search

Alignment Error Estimation of the Conductive Pattern of 3D-Printed Circuit Boards

https://doi.org/10.32603/1993-8985-2024-27-3-6-19

Abstract

Introduction. When manufacturing printed circuit boards (PCBs), including their prototypes, the proper alignment of PCB layers is mandatory. While the causes and preventive measures against misalignment in PCBs manufactured using conventional technologies are known, research into alignment errors in 3D-printed PCBs is still ongoing. Another task regarding 3D printing, which is related to topological accuracy (alignment errors in particular), consists in ensuring the opportunity to remove the printed part of the product in order to perform operations thereon, such as embedding components, followed by its return and continuation of the printing process.

Aim. Numerical estimation and analysis of the causes of layer-to-layer alignment errors in PCBs manufactured using 3D printing.

Materials and methods. The research was conducted using the following materials and equipment: Polyethyleentereftalaatglycol (PETG); an Ultimaker Cura slicer; an Ender 3 S13D printer; a brass nozzle with a diameter of 0.3 mm. The study was conducted using the facilities of the Additive Technologies Center, Bauman Moscow State Technical University. Interlayer alignment errors are estimated by microsection analysis and X-ray inspection, as well as using the misalignment decomposition method described by Yu.B. Tsvetkov for electronics.

Results. The possibility of manufacturing PCB prototypes with three conductive layers is demonstrated, including a method for removing the printed part of the product and its further return in the printing process using printed pins. Large-scale distortions were found to make the largest contribution to the alignment error: on average, approximately 150 gm for each layer when compared to its 3D model and approximately 60 gm when comparing the topology of the top layer with the bottom layer. These values exceed the common misalignment value of 50 gm for the pin lamination process. This substantiates the need to control and minimize temperature effects, e.g., using 3D printers with a thermostatically-controlled chamber.

Conclusion. The conducted analysis of possible causes of misalignment emergence determines the significance of temperature gradients that occur during 3D printing. The proposed manufacturing method allows the printed part of the product to be removed and further returned into the printing process, which can be used to produce PCB prototypes with three conductive layers.

About the Authors

O. N. Smirnova
Bauman Moscow State Technical University
Russian Federation

Olga N. Smirnova - postgraduate student of the Department of Electronic Engineering Technologies of the Bauman Moscow State Technical University.

5, p.1, 2nd Bauman St., Moscow 105005



A. A. Aleksandrov
Bauman Moscow State Technical University
Russian Federation

Alexander A. Alesandrov - postgraduate student of the Department of Materials processing technologies of the Bauman Moscow State Technical University.

5, p.1, 2nd Bauman St., Moscow 105005



Yu. S. Bobrova
Bauman Moscow State Technical University
Russian Federation

Julia S. Bobrova - process engineer, graduate (2006) of the Department of Electronic Engineering Technologies of the Bauman Moscow State Technical University.

5, p.1, 2nd Bauman St., Moscow 105005



K. M. Moiseev
Bauman Moscow State Technical University
Russian Federation

Konstantin M. Moiseev - Cand. Sci. (Eng.) (2012), Senior Lecturer of Department of Electronic Engineering Technologies of the Bauman Moscow State Technical University.

5, p.1, 2nd Bauman St., Moscow 105005



References

1. Smirnova O. N., Bobrova Yu. S., Moiseev K. M. 3D Printing Methods for PCB Manufacturing. Electronics: Science, Technology, Business. 2022, no. 8, pp. 128-134. doi: 10.22184/1992-4178.2022.219.8.128.136 (In Russ.)

2. Walpuski B., Sloma M. Accelerated Testing and Reliability of FDM-Based Structural Electronics. Applied Sciences. 2022, no. 12, 8 p. doi: 10.3390/app12031110

3. Ota H., Emaminejad S., Gao Y., Zhao A., Wu E., Challa S., Chen K., Fahad H. M., Jha A. K., Kiriya D., Gao W., Shiraki H., Morioka K., Ferguson A. R., Healy K. E., Davis R. W., Javey A. Application of 3D Printing for Smart Objects with Embedded Electronic Sensors and Systems. Advanced Materials Technologies. 2016, vol. 1, 22 p. doi: 10.1002/admt.201600013

4. Alsharari M., Chen B., Shu W. 3D Printing of Highly Stretchable and Sensitive Strain Sensors Using Graphene Based Composites. Proceedings. 2018, no. 2, iss. 13, 4 p. doi: 10.3390/proceedings2130792

5. 3D Printer. Ender 3 S1. Available at: https://www.creality.com/products/creality-ender-3-s1-3d-printer?parent-baobab-id=lrajvagadw (accessed 12.01.2024).

6. GOST R 53429-2009. Printed Circuit Boards. Basic Parameters of Structure. Moscow, Standartinform, 2018, 11 p. (In Russ.)

7. Smirnova O. N., Aleksandrov A. A., Bobrova Yu. S., Moiseev K. M. Evaluation of Dimensional Characteristics of Conductive Pattern Elements of 3D-Printed Circuit Boards. Journal of the Russian Universities. Radioelectronics. 2023, vol. 26, no. 4, pp. 81-94. doi: 10.32603/1993-8985-2023-26-4-81-94 (In Russ.)

8. Zhou W., List F. A., Duty C. E., Babu S. S. Fab-rication of Conductive Paths on a Fused Deposition Modeling Substrate Using Inkjet Deposition. Rapid Prototyping J. 2016, vol. 22, iss. 1, pp. 77-86. doi: 10.1108/RPJ-05-2014-0070

9. Shemelya C., Cedillos F., Aguilera E., Maestas E., Ramos J., Espalin D., Muse D., Wicker R., MacDonald E. 3D Printed Capacitive Sensors. IEEE Sensors, Baltimore, USA, 03-06 Nov. 2013. IEEE, 2013, 4 p. doi: 10.1109/ICSENS.2013.6688247

10. Pakhnin A. Formation of the Structure of Complex Multilayer Printed Circuit Boards. Electronics Production: Technologies, Equipment, Materials. 2011, no. 2, pp. 32-39. (In Russ.)

11. Semenov P. V., Tsvetkov Yu. B. Analysis of Basing Accuracy of Layers Alignment of Multilayer Printed Circuit Boards. Assembly in Mechanical Engineering, Instrumentation. 2010, no. 11, pp. 34-40. (In Russ.)

12. GOST IEC 61189-3-2013 Test methods for electrical materials, printed boards and other interconnection structures and assemblies. Pt 3. Test methods for interconnection structures (printed boards). Moscow, Standartinform, 2015, 82 p. (In Russ.)

13. Gibson I., Rosen D., Stucker B. Additive Manufacturing Technologies. 3D Printing, Rapid Prototyping and Direct Digital Manufacturing. Second Edition. NY, Springer New York, 2015, 498 p.

14. Tsvetkov Yu. B. Analysis of the Compatibility of Layers in the Production of Microsystem Technology Products. Microsystem Technology. 2004, no. 8, pp. 33-38. (In Russ.)

15. Ramian J., Ramian J., Dziob D. Thermal Deformations of Thermoplast during 3D Printing: Warping in the Case of ABS. Materials. 2021, no. 14, 18 p. doi: 10.3390/mal4227070

16. Zgryza L., Raczynska A., Pasnikowska-Lukaszuk M. Thermovisual Measurements of 3D Printing of ABS and PLA Filaments. Advances in Science and Technology - Research Journal. 2018, vol. 12 (3), pp. 266-271. doi: 10.12913/22998624/94325

17. Schmutzlera C., Zimmermannb A., Zaeha M. F. Compensating Warpage of 3D Printed Parts Using Free-Form Deformation. Procedia CIRP. 2016, vol. 41, pp. 1017-1022. doi: 10.1016/j.procir.2015.12.078

18. Compton B. G., Post B. K., Duty C. E., Love L., Kunc V. Thermal Analysis of Additive Manufacturing of Large-Scale Thermoplastic Polymer Composites. Additive Manufacturing. 2017, vol. 17, pp. 77¬86. doi: 10.1016/j.addma.2017.07.006

19. Khanafer K., AI-Masri A., Deiab I., Vafai K. Thermal Analysis of Fused Deposition Modeling Process Based Finite Element Method: Simulation and Parametric Study. Numerical Meat Transfer, Part A: Applications. 2022, vol. 81, pp. 94-118. doi: 10.1080/10407782.2022.2038972


Review

For citations:


Smirnova O.N., Aleksandrov A.A., Bobrova Yu.S., Moiseev K.M. Alignment Error Estimation of the Conductive Pattern of 3D-Printed Circuit Boards. Journal of the Russian Universities. Radioelectronics. 2024;27(3):6-19. (In Russ.) https://doi.org/10.32603/1993-8985-2024-27-3-6-19

Views: 370


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1993-8985 (Print)
ISSN 2658-4794 (Online)