J
Jikai Liu
Researcher at Shandong University
Publications - 78
Citations - 2452
Jikai Liu is an academic researcher from Shandong University. The author has contributed to research in topics: Topology optimization & Optimization problem. The author has an hindex of 20, co-authored 56 publications receiving 1473 citations. Previous affiliations of Jikai Liu include University of Alberta & Chinese Ministry of Education.
Papers
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Current and future trends in topology optimization for additive manufacturing
Jikai Liu,Andrew T. Gaynor,Shikui Chen,Zhan Kang,Krishnan Suresh,Akihiro Takezawa,Lei Li,Junji Kato,Jinyuan Tang,Charlie C. L. Wang,Lin Cheng,Xuan Liang,Albert C. To +12 more
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.
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A survey of manufacturing oriented topology optimization methods
Jikai Liu,Yongsheng Ma +1 more
TL;DR: The traditional manufacturing methods of machining and injection molding/casting are reviewed, and the challenges and opportunities related to the emerging additive manufacturing (AM) are highlighted.
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Role of anisotropic properties on topology optimization of additive manufactured load bearing structures
TL;DR: In this article, the authors present an overview of the anisotropy of additive manufactured materials and provide some insights into the role of anisotropic load-bearing structures in topology optimization.
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An inherent strain based multiscale modeling framework for simulating part-scale residual deformation for direct metal laser sintering
Qian Chen,Xuan Liang,Devlin Hayduke,Jikai Liu,Lin Cheng,Jason Oskin,Ryan Whitmore,Albert C. To +7 more
TL;DR: In this paper, a multiscale process modeling framework for efficiently and accurately simulating residual distortion and stress at the part-scale for the direct metal laser sintering (DMLS) process is proposed.
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Coupling lattice structure topology optimization with design-dependent feature evolution for additive manufactured heat conduction design
TL;DR: This paper addresses a novel aspect in the concurrent optimization of lattice infill and design-dependent movable features, on which boundary conditions are prescribed, and applies the proposed methodology to the concurrent Optimization of cooling channels.