Topology Optimization of Structural Drive-Train Component of an Electric Driven Vehicle for Additive Manufacturing

Yıl 2024, Cilt: 7 Sayı: 1, 42 - 51, 31.05.2024

Ahmet Erkan Kılıç , Atilla Savaş , Hüseyin Yavuz Yücesoy

https://doi.org/10.34088/kojose.1295098

Cited By: 1

https://izlik.org/JA43CY97PP

Öz

Additive Manufacturing (AM) is an emerging technology and an important alternative to conventional manufacturing methods as it enables the production of lighter parts that are potentially more durable. In this context, the design for additive manufacturing (DFAM) has been drawing a considerable amount of attention mainly in the aerospace, and automotive industries as well as in academia. On the other hand, the ability of additive manufacturing to manufacture complex topology is often the outcome of topology optimization, which makes topology optimization a good design tool for additive manufacturing. The main objective of the present work is to redesign a structural component of the drivetrain of the Shell Eco-Marathon vehicle, with the use of Altair Inspire™, an industrial generative design tool, by application of Topology Optimization for Additive Manufacturing aiming mass reduction and does not cover the print process.

Anahtar Kelimeler

Additive Manufacturing , Finite Elemen Analysis , Manufacturing , Topology Optimization

Kaynakça

• [1] ASTM INTERNATIONAL, “ASTM F2792-12a,” Rapid Manufacturing Association, pp. 1–3, 2013, doi: 10.1520/F2792-12A.2.
• [2] Clausen, A., 2015. Topology Optimization for Additive Manufacturing,”. doi: 10.1017/CBO9781107415324.004.
• [3] Gornet T., 2017 “History of Additive Manufacturing,”. doi: 10.4018/978-1-5225-2289-8.ch001.
• [4] Plocher J. and Panesar A., 2019, Review on design and structural optimization in additive manufacturing: Towards next-generation lightweight structures, Mater Des, 183, p. 108164, doi: 10.1016/j.matdes.2019.108164.
• [5] Liu J. et al., 2018, Current and future trends in topology optimization for additive manufacturing, Structural and Multidisciplinary Optimization, 57, no. 6, pp. 2457–2483, 2018, doi: 10.1007/s00158-018-1994-3.
• [6] Langelaar M., 2017, An additive manufacturing filter for topology optimization of print-ready designs, Structural and Multidisciplinary Optimization, 55, no. 3, pp. 871–883, 2017, doi: 10.1007/s00158-016-1522-2.
• [7] Atzeni E. and Salmi A., 2012, Economics of additive manufacturing for end-usable metal parts, International Journal of Advanced Manufacturing Technology, 62, no. 9–12, pp. 1147–1155, 2012, doi: 10.1007/s00170-011-3878-1.
• [8] Christiansen A.N., Bærentzen J.A., Nobel-Jørgensen M., Aage N., and Sigmund O., 2015. Combined shape and topology optimization of 3D structures, Computers and Graphics (Pergamon), 46, pp. 25–35, 2015, doi: 10.1016/j.cag.2014.09.021.
• [9] J. Park J., A. Sutradhar A., Shah J. J., and Paulino G. H., 2018. Design of complex bone internal structure using topology optimization with perimeter control, Comput Biol Med, 94, pp. 74–84, Mar. 2018, doi: 10.1016/j.compbiomed.2018.01.001.
• [10] Mezzadri F., Bouriakov V., and Qian X., 2018. Topology optimization of self-supporting support structures for additive manufacturing, Addit Manuf, 21, pp. 666–682, May 2018, doi: 10.1016/j.addma.2018.04.016.
• [11] Chu S. , Xiao M., Gao L., Li H., Zhang J., and Zhang X., 2019. Topology optimization of multi-material structures with graded interfaces, Computer Methods Appl Mech Eng, 346, pp. 1096–1117, Apr. 2019, doi 10.1016/j.cma.2018.09.040.
• [12] Zheng Y, Da D., Li H., Xiao M., and Gao L., 2020. Robust topology optimization for multi-material structures under interval uncertainty, Appl Math Model, 78, pp. 627–647, Feb. 2020, doi: 10.1016/j.apm.2019.10.019.
• [13] Xu B., Han Y., and Zhao L., 2019. Bi-directional evolutionary topology optimization of geometrically nonlinear continuum structures with stress constraints,” Appl Math Model, 80, pp. 771–791, Apr. 2020, doi: 10.1016/j.apm.2019.12.009.
• [14] Liu B., Jiang C., Li G., and Huang X., 2020. Topology optimization of structures considering local material uncertainties in additive manufacturing, Computer Methods Appl Mech Eng, 360, Mar. 2020, doi: 10.1016/j.cma.2019.112786.
• [15] Li J., Guan Y., Wang G., Wang G., Zhang H., and Lin J., 2020. A meshless method for topology optimization of structures under multiple load cases, Structures, 25, pp. 173–179, Jun. 2020, doi: 10.1016/j.istruc.2020.03.005.
• [16] Bi M., Tran P., and Xie Y.M., 2020. Topology optimization of 3D continuum structures under geometric self-supporting constraint, Addit Manuf, 36, Dec. 2020, doi 10.1016/j.addma.2020.101422.
• [17] Aydın L. et al., 2021. Development of Personal Protective Respirator Based on Additive Manufacturing Technologies in Fighting Against Pandemic, Kocaeli Journal of Science and Engineering, 4, no. 1, pp. 24–38, May 2021, doi: 10.34088/kojose.833205.
• [18] Çelebi A. and Tosun A., 2021. Application and Comparison Of Topology Optimization For Additive Manufacturing And Machining Methods, Int. J. of 3D Printing Tech. Dig. Ind, 5, no. 3, pp. 676–691, 2021, doi: 10.46519/ij3dptdi.
• [19] Sakarya University Advanced Technologies Application Center ( SAITEM ), www.saitem.org.
• [20] Budynas R.G., Nisbett J.K., 2011. Shigley's Mechanical Engineering Design, 9th edition, Macgraw Hill, New York.
• [21] Diegel O., Nordin A., and Motte D., 2019. A Practical Guide to Design for Additive Manufacturing. 2019. doi: 10.1007/978-981-13-8281-9.
• [22] Verbart A., 2015. Topology Optimization with Stress Constraints. 2015. doi: 10.4233/uuid: ee24b186-5db6-4c57-aa50-3b736110ff2a.
• [23] Altair Inspire: Generate Structurally Efficient Concepts Quickly and Easily. https://altair.com/inspire