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A discrete variable based methodology for topology optimization considering spatially uneven manufacturing errors

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Języki publikacji
EN
Abstrakty
EN
Manufacturing errors (MEs) are unavoidable in product fabrication. The omnipresence of manufacturing errors (MEs) in product engineering necessitates the development of robust optimization methodologies. In this research, a novel approach based on the morphological operations and interval field (MOIF) theory is proposed to address MEs in the discrete-variable-based topology optimization procedures. On the basis of a methodology for deterministic topology optimization (TO) based on the Min-Cut, MOIF introduces morphological operations to generate geometrical variations, while the dimension of the structuring element is dynamically set by the interval field function’s output. The effectiveness of the proposed approach as a powerful tool for accounting for spatially uneven ME in the TOs has been demonstrated.
Rocznik
Strony
1121--1133
Opis fizyczny
Bibliogr. 12 poz., fig., tab.
Twórcy
autor
  • School of Information and Electrical Engineering, Hangzhou City University Hangzhou, 310027, China
autor
  • School of Information and Electrical Engineering, Hangzhou City University Hangzhou, 310027, China
Bibliografia
  • [1] Kostina M., Karaulova T., Sahno J. et al., Reliability estimation for manufacturing processes, Journal of Achievements in Materials and Manufacturing Engineering, vol. 51, pp. 7–13 (2012), DOI: 10.5755/j01.mech.18.6.3168.
  • [2] da Silva G.A., Beck A.T., Sigmund O., Topology optimization of compliant mechanisms with stress constraints and manufacturing error robustness, Computer Methods in Applied Mechanics and Engineering, vol. 354, pp. 397–421 (2019), DOI: 10.1016/j.cma.2019.05.046.
  • [3] da Silva G.A., Beck A.T., Sigmund O., Stress-constrained topology optimization considering uniform manufacturing uncertainties, Computer Methods in Applied Mechanics and Engineering, vol. 344, pp. 512–537 (2019), DOI: 10.1016/j.cma.2018.10.020.
  • [4] Wang Li-Luan et al., Non-probabilistic Reliability-based Topology Optimization (NRBTO) Scheme for Continuum Structures Based on the parameterized Level-Set method and Interval Mathematics,Computer Methods in Applied Mechanics and Engineering, vol. 373, 113477 (2021), DOI: 10.1016/j.cma.2020.113477.
  • [5] Xia M., Yang S., Sykulski J., A Novel 3D Topology Optimization Methodology based on the Min-Cut Theorem, IEEE Transactions on Magnetics, vol. 57, pp. 1–5 (2021), DOI: 10.1109/TMAG.2021.3075015.
  • [6] Kolmogorov V., Zabih R., What Energy Functions Can Be Minimized via Graph Cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, pp. 147–159 (2004), DOI: 10.1109/TPAMI.2004.1262177.
  • [7] Comer M.L., Delp III E.J., Morphological operations for color image processing, Journal of Electronic Imaging, vol. 8, pp. 279–289 (1999), DOI: 10.1117/1.482677.
  • [8] Ni B.Y., Jiang C., Interval field model and interval finite element analysis, Science Direct, Computer Methods in Applied Mechanics and Engineering, vol. 360, pp. 1–40 (2020), DOI: 10.1016/j.cma.2019.112713.
  • [9] Wu J.L., Zhen Luo, Nong Zhang, Zhang Y.Q., A new uncertain analysis method and its application in vehicle dynamics, Mechanical Systems and Signal Processing, vol. 50, pp. 659–675 (2015), DOI: 10.1016/j.ymssp.2014.05.036.
  • [10] Phoon K.K., Huang S.P., Quek S.T., Simulation of second-order processes using Karhunen–Loève expansion, Computers & Structures, vol. 80, pp. 1049–1060 (2002), DOI: 10.1016/S0045-7949(02)00064-0.
  • [11] Babolian Esmail, Jafar Biazar, Vahidi A.R., The decomposition method applied to systems of Fredholm integral equations of the second kind, Applied Mathematics and Computation, vol. 148, no. 2,pp. 443–452 (2004), DOI: 10.1016/S0096-3003(02)00859-7.
  • [12] Xia M., Zhou Q., Sykulski J., Yang S., Ma Y., A Multi-Objective Topology Optimization Methodology Based on Pareto Optimal Min-Cut, IEEE Transactions on Magnetics, vol. 56, pp. 1–5 (2020), DOI: 10.1109/TMAG.2019.2955386.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f31c3b3d-d95d-4085-a0b2-81183ff44f22
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