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Author

Xuefeng Zhu

Other affiliations: University of Michigan
Bio: Xuefeng Zhu is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Isogeometric analysis & Finite element method. The author has an hindex of 11, co-authored 21 publications receiving 405 citations. Previous affiliations of Xuefeng Zhu include University of Michigan.

Papers
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TL;DR: In this paper, an efficient and explicit topology optimization approach based on the Moving Morphable Voids (MMVs) solution framework is proposed to reduce not only the number of design variables but also the degree of freedom in FEA.

161 citations

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TL;DR: This work proposes an explicit isogeometric topology optimization approach using MMCs that not only inherits the explicitness of the original MMC-based approach, but also embraces the merits of the IGA such as high-order continuity.

63 citations

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TL;DR: An isogeometric analysis (IGA) based design method to address the stress-constrained topology optimization problem of plane stress and bending of thin plates and shows superior performance for solution accuracy and efficiency.

52 citations

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TL;DR: This paper breaks traditional procedures and presents a DT-based optimization strategy on the consideration of both machining efficiency and aerodynamic performance, as well as builds a reified 5-dimensional DT model.

51 citations

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TL;DR: In this paper, a temperature-constrained topology optimization for thermo-mechanical coupled problems under a design-dependent temperature field considering the thermal expansion effect remains an open problem.
Abstract: Temperature-constrained topology optimization for thermo-mechanical coupled problems under a design-dependent temperature field considering the thermal expansion effect remains an open problem. A t...

44 citations


Cited by
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Journal ArticleDOI
TL;DR: The motivation of this perspective paper is to summarize the state-of-art topology optimization methods for a variety of AM topics and the hope is to inspire both researchers and engineers to meet the challenges with innovative solutions.
Abstract: Manufacturing-oriented topology optimization has been extensively studied the past two decades, in particular for the conventional manufacturing methods, for example, machining and injection molding or casting. Both design and manufacturing engineers have benefited from these efforts because of the close-to-optimal and friendly-to-manufacture design solutions. Recently, additive manufacturing (AM) has received significant attention from both academia and industry. AM is characterized by producing geometrically complex components layer-by-layer, and greatly reduces the geometric complexity restrictions imposed on topology optimization by conventional manufacturing. In other words, AM can make near-full use of the freeform structural evolution of topology optimization. Even so, new rules and restrictions emerge due to the diverse and intricate AM processes, which should be carefully addressed when developing the AM-specific topology optimization algorithms. Therefore, the motivation of this perspective paper is to summarize the state-of-art topology optimization methods for a variety of AM topics. At the same time, this paper also expresses the authors' perspectives on the challenges and opportunities in these topics. The hope is to inspire both researchers and engineers to meet these challenges with innovative solutions.

518 citations

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TL;DR: In this article, the state-of-the-art developments in the design for additive manufacturing (DfAM) and structural optimisation, becomes vital for successfully shaping the future AM-landscape.

330 citations

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TL;DR: A critical review of literature on bending, buckling and free vibration analysis of shear deformable isotropic, laminated composite and sandwich beams based on equivalent single layer theories, layerwise theories, zig-zag theories and exact elasticity solution is presented in this paper.

327 citations

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TL;DR: It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production.

224 citations

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TL;DR: This work makes an application-oriented review of topology optimization approaches in an attempt to illustrate their efficacy in the design of high-performance structures, and examines limitations of additive manufacturing in the loss of geometric accuracy and performance deterioration.
Abstract: This work grew out of rapid developments of topology optimization approaches and emerging industry trends of “3D printing” techniques, the latter bridging to a large extent the gap between innovative design and advanced manufacturing. In the present work, we first make an application-oriented review of topology optimization approaches in an attempt to illustrate their efficacy in the design of high-performance structures. Subsequently, a broad panorama of additive manufacturing is provided with a particular interest in its application in the automotive and the aerospace sectors. Taking an aerospace bracket as an example, we further go through an entire procedure from topology optimization design to additive manufacturing, then to performance verification. In the interest of cultivating a long-term partnership upon this combination, we finally examine, in face of present and near future, limitations of additive manufacturing in the loss of geometric accuracy and performance deterioration, and provide a roadmap for future work.

188 citations