Article
Automation & Control Systems
Reza Karimzadeh, Mohsen Hamedi
Summary: This paper proposes a topology optimization algorithm based on the SIMP method, which combines data clustering and neural networks to enhance sensitivity analysis, capable of generating a support-free part design with desirable compliance. The experimental results demonstrate promising savings in material usage and manufacturing time.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
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, Industrial
Nathan Hertlein, Philip R. Buskohl, Andrew Gillman, Kumar Vemaganti, Sam Anand
Summary: This study introduces a deep learning-based framework that predicts near optimal designs by learning latent similarities between runs in a training set using a conditional generative adversarial network (cGAN). The cGAN predictions show good agreement with true optima, and for greater accuracy, predictions can be further improved by applying a small number of topology optimization iterations.
JOURNAL OF MANUFACTURING SYSTEMS
(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)
Review
Thermodynamics
Ahmad Fawaz, Yuchao Hua, Steven Le Corre, Yilin Fan, Lingai Luo
Summary: The paper investigates the critical role of topology optimization in designing heat exchangers, analyzing the pros, cons, and challenges of each stage, pointing out the limitations of TO in handling industrial HXs, and discussing three emerging schemes to improve efficiency.
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
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
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)
Article
Chemistry, Multidisciplinary
Evangelos Tyflopoulos, Mathias Lien, Martin Steinert
Summary: The article discusses the weight optimization of structures, focusing on the application of topology optimization in material removal and its design flexibility in additive manufacturing. The authors explore the benefits and limitations of TO through a case study, achieving weight reduction of brake caliper housings.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Yangyang Zeng, Jiayi Li, Shiyun Lin, Xiaolong He, Bing Li, Tao Deng
Summary: Urban air mobility aircraft are seen as an effective solution to traffic congestion. This paper presents a design for such an aircraft, which allows vertical take-off and landing and has a long battery life. Two methods for lightweight design of the components fixed at the wing tips are proposed, manual setting and topology optimization, based on the stress conditions of the aircraft.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
Rossana R. Fernandes, Ali Y. Tamijani
Summary: This paper presents an experimentally validated framework for performing topology and orientation optimization of lattice structures subject to stress constraints. Effective stiffnesses and yield stresses of a unit cell are obtained using numerical homogenization and implemented via macrostructure topology optimization to improve lattice structure stiffness.
MATERIALS & DESIGN
(2021)
Article
Engineering, Mechanical
C. Boursier Niutta, A. Tridello, G. Barletta, N. Gallo, A. Baroni, F. Berto, D. S. Paolino
Summary: This paper proposes a generalized formulation of defect-driven topology optimization (TO) for fatigue design, named TopFat. The proposed method limits the first principal stress in accordance with the defect size distribution of the additive manufacturing process. The results show that considering the defect population significantly affects the final topology and leads to feasible optimum solutions.
ENGINEERING FAILURE ANALYSIS
(2022)
Review
Engineering, Manufacturing
N. S. Johnson, P. S. Vulimiri, A. C. To, X. Zhang, C. A. Brice, B. B. Kappes, A. P. Stebner
ADDITIVE MANUFACTURING
(2020)
Article
Engineering, Multidisciplinary
Hao Deng, Praveen S. Vulimiri, Albert C. To
Summary: This paper presents an efficient and compact MATLAB code for three-dimensional stress-based sensitivity analysis, including finite element analysis and p-norm stress sensitivity analysis. The effectiveness of the sensitivity analysis code is demonstrated through verification of the correctness of the analytical sensitivity.
OPTIMIZATION AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Hao Deng, Praveen S. Vulimiri, Albert C. To
Summary: This paper proposes a subtractive geometry projection topology optimization approach to simulate the multi-axis machining process and remove material from the initial design domain. The method optimizes each geometric primitive to generate the final subtractive design and readily integrates modeling history.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)