Abstract
A multimodal approach for the automation of mechanical design is proposed. It is based on nonlinear programming incorporating topology optimization (TO) and multiple modes of mechanical analysis of the structure. The material plastification, large strain and transient failure behavior of interim optimized designs are evaluated in a nonlinear analysis. As a result, early stage validation of results from topology optimization (TO) and automatic design iteration are achieved.
A design approach is implemented, which is based on generative design and aims for safety and lightweight construction under the aspects of structural ductility and fail-safe behaviour in overstraining. The scheme is developed with a high degree of automation, such that effective weighting of technical design criteria can be achieved and design optimization results can be directly manufactured. The application is demonstrated in simulation analysis as well as through experimental testing of 3D printed structures.
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References
Abdi M, Ashcroft I, Wildman R (2018) Topology optimization of geometrically nonlinear structures using an evolutionary optimization method. Engineering Optimization 50(11):1850–1870
Ahmad Z, Sultan T, Zoppi M, Abid M, Jin Park G (2017) Nonlinear response topology optimization using equivalent static loads—case studies. Engineering Optimization 49(2):252–268
Amadori K, Tarkian M, Ölvander J, Krus P (2012) Flexible and robust CAD models for design automation. Advanced Engineering Informatics 26(2):180–195
Barchiesi E, Spagnuolo M, Placidi L (2019) Mechanical metamaterials: a state of the art. Mathematics and Mechanics of Solids 24(1):212–234
Barchiesi E, Eugster SR, dell’Isola F, Hild F (2020) Large in-plane elastic deformations of bipantographic fabrics: asymptotic homogenization and experimental validation. Mathematics and Mechanics of Solids 25(3):739–767
Bendsoe MP, Sigmund O (2013) Topology optimization: theory, methods, and applications. Springer Science & Business Media
dell’Isola F, Giorgio I, Pawlikowski M, Rizzi NL (2016) Large deformations of planar extensible beams and pantographic lattices: heuristic homogenization, experimental and numerical examples of equilibrium. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 472(2185):20150,790
Desmorat B, Desmorat R (2008) Topology optimization in damage governed low cycle fatigue. Comptes Rendus Mecanique 336(5):448–453
Dubbel H, Davies B (2013) Dubbel-Handbook of mechanical engineering. Springer Science & Business Media
Duddeck F, Hunkeler S, Lozano P, Wehrle E, Zeng D (2016) Topology optimization for crashworthiness of thin-walled structures under axial impact using hybrid cellular automata. Structural and Multidisciplinary Optimization 54(3):415–428
Herskovits J (2012) Advances in structural optimization, vol 25. Springer Science & Business Media
Hiermaier S (2007) Structures under crash and impact: continuum mechanics, discretization and experimental characterization. Springer Science & Business Media
Hughes TJ (2012) The finite element method: linear static and dynamic finite element analysis. Courier Corporation
Jansen M, Lombaert G, Schevenels M, Sigmund O (2014) Topology optimization of fail-safe structures using a simplified local damage model. Structural and Multidisciplinary Optimization 49(4):657–666
La Rocca G (2012) Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design. Advanced engineering informatics 26(2):159–179
Li L, Zhang G, Khandelwal K (2018) Failure resistant topology optimization of structures using nonlocal elastoplastic-damage model. Structural and Multidisciplinary Optimization 58(4):1589–1618
Mohr DP (2011) Redundante topologieoptimierung. PhD thesis, Universität der Bundeswehr München, Fakultät für Luft-und Raumfahrttechnik, Neubiberg
Réthoré J, Hild F, Roux S (2008) Extended digital image correlation with crack shape optimization. International Journal for Numerical Methods in Engineering 73(2):248–272
Sanchez JJ (2018) The finite strain Johnson Cook plasticity and damage constitutive model in ALEGRA. Tech. rep., Sandia National Lab.(SNL-NM), Albuquerque, NM (United States)
Sandberg M, Gerth R, Lu W, Jansson G, Mukkavaara J, Olofsson T (2016) Design automation in construction: An overview. In: 33rd CIB W78 Conference 2016, Oct. 31st–Nov. 2nd 2016, Brisbane, Australia
Schumacher A (2005) Optimierung mechanischer strukturen. Springer
Schwarz S, Maute K, Ramm E (2001) Topology and shape optimization for elastoplastic structural response. Computer Methods in Applied Mechanics and Engineering 190(15–17):2135–2155
Sigmund O, Maute K (2013) Topology optimization approaches. Structural and Multidisciplinary Optimization 48(6):1031–1055
Zhou M, Fleury R (2016) Fail-safe topology optimization. Structural and Multidisciplinary Optimization 54(5):1225–1243
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Hoschke, K., Kappe, K., Riedel, W., Hiermaier, S. (2020). A Multimodal Approach for Automation of Mechanical Design. In: Abali, B., Giorgio, I. (eds) Developments and Novel Approaches in Nonlinear Solid Body Mechanics. Advanced Structured Materials, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-030-50460-1_17
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DOI: https://doi.org/10.1007/978-3-030-50460-1_17
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