Article
Engineering, Manufacturing
Zhengtong Han, Kai Wei
Summary: This study develops an improved multi-material topology optimization method and successfully designs and additively manufactures metamaterials with complex functionalities. Experimental results demonstrate a good agreement between the additively manufactured metamaterials and the topology-optimized results.
ADDITIVE MANUFACTURING
(2022)
Review
Engineering, Manufacturing
Osezua Ibhadode, Zhidong Zhang, Jeffrey Sixt, Ken M. Nsiempba, Joseph Orakwe, Alexander Martinez-Marchese, Osazee Ero, Shahriar Imani Shahabad, Ali Bonakdar, Ehsan Toyserkani
Summary: Metal additive manufacturing is actively researched, focusing on physics, statistical and AI-driven process modeling and optimization, structure-property characterization, design optimization, and equipment enhancements. This review specifically addresses the utilization of topology optimization in metal additive manufacturing, including its applications in aerospace, medical, automotive, and other industries, support structure design for thermal-based powder-bed processes, manufacturing constraints and porous feature generation in topology optimization, as well as the adoption of AI models. Open-source and commercial software for topology optimization and metal additive manufacturing are also explored, with considerations given to future research directions and challenges.
VIRTUAL AND PHYSICAL PROTOTYPING
(2023)
Review
Engineering, Aerospace
Jihong Zhu, Han Zhou, Chuang Wang, Lu Zhou, Shangqin Yuan, Weihong Zhang
Summary: The integration of topology optimization and additive manufacturing shows promising application prospects in modern manufacturing, with significant progress in multi-scale or hierarchical structural optimization design and topology optimization considering additive manufacturing constraints.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Correction
Computer Science, Interdisciplinary Applications
Liang Meng, Weihong Zhang, Dongliang Quan, Guanghui Shi, Lei Tang, Yuliang Hou, Piotr Breitkopf, Jihong Zhu, Tong Gao
Summary: Reference number 190 in this article is incorrect and needs to be checked for accuracy.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Grzegorz Misiun, Emiel van de Ven, Matthijs Langelaar, Hubert Geijselaers, Fred van Keulen, Ton van den Boogaard, Can Ayas
Summary: This study combines additive manufacturing simulation and topology optimization to propose a solution to the distortion issue in powder bed additive manufacturing, modeling and optimizing for two possible causes of failure. The formulated constraints were found to effectively prevent excessive part distortion and associated build failures.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Mechanics
Daichi Akamatsu, Yuki Noguchi, Kei Matsushima, Yuji Sato, Jun Yanagimoto, Takayuki Yamada
Summary: Recent developments in 3D printing technology have made it possible to fabricate metamaterials with unique mechanical properties, but fabricating complex shapes with cavities remains a challenge. In this study, a composite structure without a cavity was optimized and a mechanical metamaterial with a negative Poisson's ratio was developed using additive manufacturing. A level set-based topology optimization method was proposed to achieve a negative Poisson's ratio, and numerical examples confirmed its effectiveness. Furthermore, a sample with the optimized negative Poisson's ratio design was fabricated and mechanical performance was evaluated through experiments.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Martin Bihr, Gregoire Allaire, Xavier Betbeder-Lauque, Beniamin Bogosel, Felipe Bordeu, Julie Querois
Summary: This paper focuses on shape and topology optimization of parts and supports in the context of metal powder bed additive manufacturing. The process complexity is simplified using the inherent strain model, which allows for computationally efficient optimization. Three optimization criteria are proposed to minimize defects caused by additive manufacturing, and a compliance constraint is included to ensure the final performance of the part. The numerical results are validated through experimental testing and are used to calibrate the inherent strain model.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Mechanics
Yong Peng, Kai Wei, Ming Mei, Xujing Yang, Daining Fang
Summary: A class of 3D metamaterials with programmable coefficient of thermal expansion and Poisson's ratio has been designed through a unique methodology. These metamaterials can widely tailor CTE and easily obtain controllable PR by adjusting geometric parameters. They provide a strategy for programming in multiple axes and coupled programmability of both CTE and PR.
COMPOSITE STRUCTURES
(2021)
Article
Computer Science, Interdisciplinary Applications
Ruiliang Feng, Xianda Li, Lin Zhu, Atul Thakur, Xiangzhi Wei
Summary: Extrusion-Based Additive Manufacturing is widely used, but the need for supports contributes to material waste. This study proposes a two-level support structure to save support materials, with optimized shapes and topologies, leading to significant material and time savings. Validation experiments on benchmark models confirmed the effectiveness of the developed approach.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Chemistry, Multidisciplinary
Babin Dangal, Sangjin Jung
Summary: This study provides insights into the effects of build orientation, AM constraints, and different design objectives on structural topology optimization for AM through comparative analysis.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Manufacturing
Yunfeng Luo, Ole Sigmund, Quhao Li, Shutian Liu
Summary: This paper proposes a novel topology optimization procedure for structures designed for additive manufacturing, where enclosed voids are filled with porous materials for support and cannot be removed. The procedure automatically determines whether to eliminate enclosed voids or use infill to support them, effectively addressing a challenging problem in structure design. Experimental examples demonstrate the effectiveness of the procedure in optimizing layouts and enhancing performance.
ADDITIVE MANUFACTURING
(2022)
Article
Engineering, Multidisciplinary
Hongjia Lu, Linwei He, Matthew Gilbert, Filippo Gilardi, Jun Ye
Summary: Additive manufacturing (AM) has rapidly developed and offers the potential to fabricate structurally optimized components. The use of truss topology optimization methods has been effective in identifying optimal forms for highly design free components. However, geometric complexity and overhanging elements often require support structures when using traditional 3-axis AM machines. To eliminate the need for support structures, multi-axis AM machines with 5 or more axes can be used. A novel process-aware truss layout optimization strategy tailored for multi-axis AM machines is proposed in this study, which combines curved printing surface identification with truss layout and geometry optimization. The proposed strategies aim to achieve highly material-efficient structures and fully self-supporting structures with minimal material consumption. The effectiveness of the approach is demonstrated through several examples, showing that fully self-supporting optimized structures can be identified without sacrificing structural performance.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Mechanics
Zhengtong Han, Zhonggang Wang, Kai Wei
Summary: By assembling metamaterials with different characteristics, the applicability of shape morphing structures can be effectively enlarged. Numerical simulations show that these designs can accurately present the desired deformation behavior under various loadings. These approaches open new avenues for the extensive applications of shape morphing structures in aerospace, electric, and biomedical domains.
COMPOSITE STRUCTURES
(2022)
Article
Chemistry, Multidisciplinary
Fernando Senhora, Emily D. Sanders, Glaucio H. Paulino
Summary: Spinodal architected materials optimize design of multiscale structures by varying spinodal class, orientation, and porosity, leading to efficient material placement along stress trajectories with enhanced mechanical and biological functions.
ADVANCED MATERIALS
(2022)
Article
Computer Science, Interdisciplinary Applications
R. Ranjan, C. Ayas, M. Langelaar, F. van Keulen
Summary: A novel constraint based on the physics of Additive Manufacturing (AM) process is proposed to prevent local overheating in topology optimization (TO). By using a computationally inexpensive thermal process model, the proposed constraint can detect areas prone to local overheating and achieve optimized results in a computationally efficient manner.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)