...Kangjie Li; Wenjing Ye; Yicong Gao It is well known that the computational cost of classic topology optimization (TO) methods increases rapidly with the size of the design problem because of the high-dimensional numerical simulation required at each iteration. Recently, the technical route...

...Hongye Gu; Hollis Smith; Julián A. Norato This work presents a method for the topology optimization of welded frame structures to minimize the manufacturing cost. The structures considered here consist of assemblies of geometric primitives such as bars and plates that are common in welded frame...

...Corey M. Parrott; Diab W. Abueidda; Kai A. James The computational cost of traditional gradient-based topology optimization is amplified for multidisciplinary design optimization (MDO) problems, most notably when coupling between physics disciplines is accounted for. To alleviate this, we...

... streamlines in the two mutually orthogonal direction fields that are obtained from homogenization-based topology optimization. Streamlines in these fields are converted into a graph, which is then used to construct a quad-dominant mesh whose edges follow the direction fields. In addition, the edge width...

... processes. In this study, a unit-based design is chosen in contrast to domain-based design. The latter denotes regular shape/topology optimization where design variables are defined in the entire design domain, while the former denotes the specific case where design variables are defined based on the sub...

...Yue Wang; Hua Zhang; Zongliang Du; Weisheng Zhang; Xu Guo In this work, a hybrid topology optimization scheme based on the moving morphable component (MMC) method is presented for the design of stiffened membrane structure. The stiffened membrane structure is composed of a base membrane...

... projection method [ 152 , 154 ] and integrated layout design of multicomponent systems [ 141 , 155 – 158 ] using topology optimization are highly relevant to SPI2 design research because these methods allow the decoupling of geometric parameterization from solution strategy. An initial investigation...

... to be able to manufacture a mechanism/robot which is stiff enough for a given task. This paper deals with a novel approach that allows to design mechanisms by means of structural topology optimization while specific dynamic balancing conditions are considered. In our work, the links are treated as three...

...-based topology optimization to the generative design of origami structures. The origami mechanism is simulated using thin shell models where the deformation on the surface and the deformation in the normal direction can be simplified and well captured. Moreover, the fold pattern is implicitly...

... homolog screening mode switching rules mode richness rule design methodology design theory and methodology mechanism synthesis systems design topology optimization The hybrid powertrain is the core of the hybrid electric vehicle, which determines machine connection and instantaneous power...

... optimum as gradient-based method is only able to converge to a local minimum. Fig. 27 Multiple milling directions (compliance: 10.05) Multiple milling directions (compliance: 10.05) 08 07 2021 11 12 2021 15 12 2021 17 01 2022 topology optimization density-based...

...Mohammad Mahdi Behzadi; Horea T. Ilieş A number of machine learning methods have been recently proposed to circumvent the high computational cost of the gradient-based topology optimization solvers. By and large, these methods show tight generalizability to unseen boundary and external loading...

...Shinjan Ghosh; Erik Fernandez; Jayanta Kapat Topology optimization uses a variable permeability approach to manipulate flow geometries. Such a method has been employed in the current work to modify the geometric configuration of internal cooling ducts by manipulating the distribution of material...

... insights into the effect of categorical factors, such as those associated with “building blocks” of architectures and element choices in metamaterial and materials design. Our approach is demonstrated for machine learning of ternary oxide materials and topology optimization of a multiscale compliant...

...Benliang Zhu; Rixin Wang; Hongchuan Zhang; Hai Li; Junwen Liang; Xianmin Zhang; Hao Li; Shinji Nishiwaki Standard moving morphable component (MMC)-based topology optimization methods use free components with explicitly geometrical parameters as design units to obtain the optimal structural topology...

... challenges in design optimization due to the vastly increased design freedom in material orientations. This paper presents an anisotropic topology optimization method for designing large-scale, 3D variable-axial lightweight composite structures subject to multiple load cases. The computational challenges...

... of producing material layouts that are not only intricate but at the same time, readily manufacturable. This paper presents a topology optimization framework for designing well-connected and exact-sized multi-material cellular structures that are to be subjected to temperature change. In this framework, multi...

...B. Barroqueiro; A. Andrade-Campos; J. Dias-de-Oliveira; R. A. F. Valente The potential of additive layer manufacturing (ALM) is high, with a whole new set of manufacturable parts with unseen complexity being offered. Moreover, the combination of topology optimization (TO) with ALM has brought...

...Hao Deng; Albert C. To This paper proposes a new parametric level set method for topology optimization based on deep neural network (DNN). In this method, the fully connected DNN is incorporated into the conventional level set methods to construct an effective approach for structural topology...

...Gil Ho Yoon; Seon Il Ha The present research develops a new shadow filter and presents its usage for structural topology optimization (TO) considering the molding manufacturability. It is important to consider manufacturing methods in designing products. Some geometrical features not allowing...