End-to-End Bioinspired Lightweight Structure Manufacturing-Oriented Design, Validation, and Manufacturing with Advanced Methods

Abstract:

It is known that natural designs are more efficient and functionality-aimed than human designs. Historically, human beings have tried to mimic the way nature designs or the natural designs themselves. However, it turned out that it was usually too complex for the technology of the time. Today there exists the opportunity to mimic most natural designs due to advances in computational power and improvements in manufacturing methods. This can lead to a major weight reduction in the metallic components used, which is a key aspect in many engineering areas such as the aerospace, automotive or energetic industries. This study shows how these bioinspired designs can improve designer experience-based designs in several ways i.e.: mechanical behavior, part number reduction, weight reduction, etc. The components analyzed here will be metallic based on aluminum. It will be also shown the significance of the manufacturing-oriented design so the iteration times are reduced between the CAD and the CAM or the reduction of prototype manufacturing itself. Of course, these designs need to be validated mechanically via CAE and the CAM will also be used to avoid uncertainty during advanced manufacturing processes. Finally, the results of the real manufacturing process are going to be shown so the end-to-end cycle is complete.

• Periodical: Advances in Science and Technology (Volume 132)
• Pages: 310-319
• DOI: https://doi.org/10.4028/p-cQyx0U
• Online since: October 2023
• Authors: Ignacio Laraudogoitia Blanc*, Maider Garcia de Cortazar, Franck Andres Girot Mata
• Keywords: Bioinspired, Digital Manufacturing, Lightweight

References

[1] NASA. (2012). The Wright Brothers' Story.

[2] Nachtigall, W., & Wisser, A. (2014). Bionics by examples : 250 Scenarios from Classical to Modern Times. In Springer.

DOI: 10.1007/978-3-319-05858-0_1

[3] du Plessis, A., Broeckhoven, C., Yadroitsava, I., Yadroitsev, I., Hands, C. H., Kunju, R., & Bhate, D. (2019). Beautiful and Functional: A Review of Biomimetic Design in Additive Manufacturing. In Additive Manufacturing (Vol. 27, p.408–427). Elsevier B.V. https://doi.org/10.1016/j.addma. 2019.03.033

DOI: 10.1016/j.addma.2019.03.033

[4] Gao, M., Li, L., Wang, Q., Ma, Z., Li, X., & Liu, Z. (2022). Integration of Additive Manufacturing in Casting: Advances, Challenges, and Prospects. In International Journal of Precision Engineering and Manufacturing - Green Technology (Vol. 9, Issue 1, p.305–322). Korean Society for Precision Engineeing

DOI: 10.1007/s40684-021-00323-w

[5] Shah, M., R.Patel, D., & Pande, S. (2022). Additive manufacturing integrated Casting- A review. Materials Today: Proceedings, 62(P13), 7199–7203

DOI: 10.1016/j.matpr.2022.03.413

[6] Schmitt, M., Michatz, M., Frey, A., Lutter-Guenther, M., Schlick, G., & Reinhart, G. (2020). Methodical software-supported, multi-target optimization and redesign of a gear wheel for additive manufacturing. Procedia CIRP, 88, 417–422

DOI: 10.1016/j.procir.2020.05.072

[7] Kamps, T., Biedermann, M., Seidel, C., & Reinhart, G. (2018). Design approach for additive manufacturing employing Constructal Theory for point-to-circle flows. Additive Manufacturing, 20, 111–118

DOI: 10.1016/j.addma.2017.12.005

[8] Hu, W. (2018). Advanced Wind Turbine Technology. In Advanced Wind Turbine Technology. Springer International Publishing

DOI: 10.1007/978-3-319-78166-2

[9] Sculpteo, & BASF. (n.d.). Metal 3D printing vs metal casting: How to choose?

[10] Michaud, J. (2022). Additive manufacturing and gears. Gear Solutions.

[11] Hamm, C. (2015). Evolution of Lightweight Structures (C. Hamm, Ed.; Vol. 6). Springer Netherlands

DOI: 10.1007/978-94-017-9398-8

[12] Potapova, M., Veselá, J., Smith, C., Minerovic, A., Aycock, L. (Editors) 2023. Diatom New Taxon File at the Academy of Natural Sciences (DNTF-ANS), Philadelphia. Retrieved on March 3, 2023, from http://dh.ansp.org/dntf

[13] Domfang Ngnekou, J. N., Nadot, Y., Henaff, G., Nicolai, J., Kan, W. H., Cairney, J. M., & Ridosz, L. (2019). Fatigue properties of AlSi10Mg produced by Additive Layer Manufacturing. International Journal of Fatigue, 119, 160–172

DOI: 10.1016/j.ijfatigue.2018.09.029

[14] Raab, M., & Bambach, M. (2023). Fatigue properties of Scalmalloy® processed by laser powder bed fusion in as-built, chemically and conventionally machined surface condition. Journal of Materials Processing Technology, 311

DOI: 10.1016/j.jmatprotec.2022.117811

[15] Dou, W., Zhang, L., Chang, H., Zhang, H., & Liu, C. (2021). Fatigue Characterization on a Cast Aluminum Beam of a High-Speed Train Through Numerical Simulation and Experiments. Chinese Journal of Mechanical Engineering (English Edition), 34(1)

DOI: 10.1186/s10033-021-00628-6

[16] Avilés Rafael, Avilés Rafael. Análisis De Fatiga En Máquinas. Madrid: Thomson; (2005).

[17] Budynas, R. G. (Richard G., Nisbett, J. Keith., & Shigley, J. Edward. (2011). Shigley's mechanical engineering design. McGraw-Hill.

[18] Ojha, A., Lai, WJ., Engler-Pinto, C., & Su, X. (2021). Notch Sensitivity of AlSi10Mg Aluminum Alloy Produced by Laser Powder Bed Fusion Process. Springer International Publishing

DOI: 10.1007/978-3-030-65261-6

[19] Pilkey, W. D., & Peterson, R. E. (1997). Peterson's stress concentration factors. Wiley.

[20] All3DP. (n.d.). Top 3D Printers Launched at Formnext 2022. Nov 18, 2022.