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Journal articles on the topic 'Topology Optimizatoin'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Bendsoe, Martin P. "Multidisciplinary Topology Optimization." Proceedings of The Computational Mechanics Conference 2006.19 (2006): 1. http://dx.doi.org/10.1299/jsmecmd.2006.19.1.

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2

Widodo, Charles, Marchellius Yana, and Halim Agung. "IMPLEMENTASI TOPOLOGI HYBRID UNTUK PENGOPTIMALAN APLIKASI EDMS PADA PROJECT OFFICE PT PHE ONWJ." JURNAL TEKNIK INFORMATIKA 11, no. 1 (2018): 19–30. http://dx.doi.org/10.15408/jti.v11i1.6472.

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ABSTRAK Penggunaan aplikasi EDMS di project office PT PHE ONWJ dinilai masih belum optimal karena masih lambat dalam pengunaan aplikasi EDMS. Oleh karena itu dilakukanlah penelitian ini dengan tujuan untuk mengoptimalkan jaringan yang digunakan untuk mengakses aplikasi EDMS pada project office PT PHE ONWJ. Pengoptimalan jaringan yang dimaksud adalah dengan membangun topologi di project office PT PHE ONWJ dan menerapkan metro sebagai perantara topologi star di project office dan topologi star dikantor pusat sehingga menciptakan topologi hybrid. Topologi hybrid yang dimaksud adalah penggabungan

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3

HASHIMOTO, Hiroshi, Min-Geun KIM, Kazuhisa ABE, and Seonho CHO. "1302 Topology Optimization of Periodic Sound Barriers." Proceedings of The Computational Mechanics Conference 2011.24 (2011): 438–39. http://dx.doi.org/10.1299/jsmecmd.2011.24.438.

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4

Lee, Chen Jian Ken, and Hirohisa Noguchi. "515 Multi-objective topology optimization involving 3D surfaces." Proceedings of The Computational Mechanics Conference 2008.21 (2008): 233–34. http://dx.doi.org/10.1299/jsmecmd.2008.21.233.

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5

Han, Seog Young, Min Sue Kim, Sang Rak Kim, Won Goo Lee, Jin Shik Yu, and Jae Yong Park. "P-01 Topology Optimization of a PCB Substrate Based on Evolutionary Structural Optimization." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—01–1_—_P—01–6_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-01-1_.

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6

Srivastava, Prashant Kumar. "Reducing Weight of Freight Bogie Bolster Using Topology Optimization." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 324–39. http://dx.doi.org/10.47059/revistageintec.v11i3.1941.

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7

Alfayez, Joud A., and Sobhi Mejjaouli. "3 Unit Cube-Sat Mass Reduction Using Topology Optimization." International Journal of Engineering and Technology 13, no. 2 (2021): 19–23. http://dx.doi.org/10.7763/ijet.2021.v13.1189.

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This study aims to Design and perform Finite element Analysis under the static load of a solid 3U cube structure. an evaluation of the critical loads affecting the structure during launching will be conducted to help re-design a topologized structure designed for additive manufacturing. The development of the structure's design was performed using SolidWorks, while the analysis was performed with both SolidWorks simulations and Fusion 360. The study shows the effect on the structure during the launching phase and promising results for the topology optimization approach's effectiveness as it ga

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8

Kanno, Yoshihiro. "TOPOLOGY OPTIMIZATION OF TENSEGRITY STRUCTURES UNDER SELF-WEIGHT LOADS." Journal of the Operations Research Society of Japan 55, no. 2 (2012): 125–45. http://dx.doi.org/10.15807/jorsj.55.125.

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9

Kobayashi, Masakazu, Shinji Nishiwaki, and Hiroshi Yamakawa. "Integrated Multi-Step Design Method for Practical and Sophisticated Compliant Mechanisms Combining Topology and Shape Optimizations." Journal of Robotics and Mechatronics 19, no. 2 (2007): 141–47. http://dx.doi.org/10.20965/jrm.2007.p0141.

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Compliant mechanisms designed by traditional topology optimization have a linear output response, and it is difficult for traditional methods to implement mechanisms having nonlinear output responses, such as nonlinear deformation or path. To design a compliant mechanism having a specified nonlinear output path, we propose a two-stage design method based on topology and shape optimizations. In the first stage, topology optimization generates an initial conceptual compliant mechanism based on ordinary design conditions, with “additional” constraints used to control the output path in the second

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10

G, Yaskov, Chugay A, Romanova T, and Shekhovtsov S. "Modern method of topology optimization of products in additive production." Artificial Intelligence 27, jai2022.27(1) (2022): 301–10. http://dx.doi.org/10.15407/jai2022.01.301.

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The article considers the problem of optimizing the topology of products in additive manufacturing due to the optimal placement of circular holes. The task is to pack several circles of variable radii, set within the limits set by 3D printing standards. A two-criteria formulation is proposed, which takes into account the packing factor and the maximum mechanical stress of the products. The method of the main criterion is used to find a compromise solution to the problem. A new approach has been developed, which is based on the modified method of Apollonian packing of circles and nonlinear opti

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11

Liu Boyu, 刘博宇, 王向明 Wang Xiangming, 杨光 Yang Guang та 邢本东 Xing Bendong. "面向金属增材制造的拓扑优化设计研究进展". Chinese Journal of Lasers 50, № 12 (2023): 1202301. http://dx.doi.org/10.3788/cjl221485.

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12

Tang Yufeng, 唐玉峰, 施胤成 Shi Yincheng, 李文利 Li Wenli, 陈苡生 Chen Yisheng, 王冲 Wang Chong та 刘震宇 Liu Zhenyu. "应用于反射镜支撑结构拓扑优化的共形正交基底". Acta Optica Sinica 43, № 13 (2023): 1320002. http://dx.doi.org/10.3788/aos230470.

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13

Huo, Fali, Deqing Yang, and Yinzhi Zhao. "Vibration Reduction Design with Hybrid Structures and Topology Optimization." Polish Maritime Research 23, s1 (2016): 10–19. http://dx.doi.org/10.1515/pomr-2016-0040.

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Abstract The hybrid structures show excellent performance on vibration reduction for ship, aircraft and spacecraft designs. Meanwhile, the topology optimization is widely used for structure vibration reduction and weight control. The design of hybrid structures considering simultaneous materials selection and topology optimization are big challenges in theoretical study and engineering applications. In this paper, according to the proposed laminate component method (LCM) and solid isotropic microstructure with penalty (SIMP) method, the mathematical formulations are presented for concurrent ma

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14

Hu, Zheng, Shiping Sun, Oleksii Vambol, and Kun Tan. "Topology optimization of laminated composite structures under harmonic force excitations." Journal of Composite Materials 56, no. 3 (2021): 409–20. http://dx.doi.org/10.1177/00219983211052605.

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In this paper, a topology optimization approach for the design of laminated composite structures under harmonic force excitations is proposed. A novel method is developed to calculate the harmonic response for composite laminates, which consists of two steps: firstly, based on the strain energy approach, the damping matrix model of composite laminates is established with the proportional damping assumption; then, the displacement response is calculated by the mode acceleration method The design objective of topology optimization is to minimize the displacement amplitude at the concerning point

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15

Ambrozkiewicz, Olaf, and Benedikt Kriegesmann. "Density-based shape optimization for fail-safe design." Journal of Computational Design and Engineering 7, no. 5 (2020): 615–29. http://dx.doi.org/10.1093/jcde/qwaa044.

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Abstract This paper presents a two-stage procedure for density-based optimization towards a fail-safe design. Existing approaches either are computationally extremely expensive or do not explicitly consider fail-safe requirements in the optimization. The current approach trades off both aspects by employing two sequential optimizations to deliver redundant designs that offer robustness to partial failure. In the first stage, a common topology optimization or a topology optimization with local volume constraints is performed. The second stage is referred to as “density-based shape optimization”

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16

Youming, Tang. "Topology optimization and lightweight design of engine hood material for SUV." Functional Materials 23, no. 4 (2016): 630–35. http://dx.doi.org/10.15407/fm23.04.443.

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17

TOPAÇ, Mehmet Murat, Merve KARACA, Birkan AKSOY, Uğur DERYAL, and Levent BİLAL. "Lightweight Design of a Rear Axle Connection Bracket for a Heavy Commercial Vehicle by Using Topology Optimisation: A Case Study." Mechanics 26, no. 1 (2020): 64–72. http://dx.doi.org/10.5755/j01.mech.26.1.23141.

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An important design challenge of modern vehicles is mass reduction. Hence in many cases, mechanical design of vehicle components covers different optimization processes. One important structural optimization technique which is highly utilised in weight reduction applications is the topology optimization. This paper contains a multi-stage optimization based on the topology and design optimizations. During this study, the mechanical design of a rear axle-chassis connection bracket is achieved. First of all, the design load of the bracket was determined through a multibody dynamics analysis. This

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18

Li, Guyang, Lin Li, Zhigang Peng, and Sanbao Hu. "Multi-objective Topology Optimization of the Temperature Field Considering the Material Nonlinearities." Journal of Physics: Conference Series 2441, no. 1 (2023): 012018. http://dx.doi.org/10.1088/1742-6596/2441/1/012018.

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Abstract This paper presents a multi-objective topology optimization method for the temperature field considering the material nonlinearities. Although a large number of papers have studied the topology optimizations of the heat transfer problems, none of them considered the influence of the material nonlinearity properties. In this paper, the material nonlinearity is considered. Based on the nonlinear assumption, the mathematical model of the corresponding topology optimization is presented first. Then, the sensitivities of the objectives and the constraints respect to the design variables ar

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19

Myśliński, Andrzej, and Konrad Koniarski. "Hybrid level set phase field method for topology optimization of contact problems." Mathematica Bohemica 140, no. 4 (2015): 419–35. http://dx.doi.org/10.21136/mb.2015.144460.

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20

Kongwat, Suphanut, and Hiroshi Hasegawa. "A Study on Proportional Topology Optimization for Nonlinearities Material with Cyclic Load." International Journal of Materials Science and Engineering 8, no. 1 (2020): 7–14. http://dx.doi.org/10.17706/ijmse.2020.8.1.7-14.

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21

Jin, Qi, Minhuan Huang, and Xiaohui Kuang. "Min-Max Wireless Sensor Network Topology Optimization Localization Algorithm Based on RSSI." International Journal of Computer and Communication Engineering 4, no. 1 (2015): 9–12. http://dx.doi.org/10.7763/ijcce.2015.v4.373.

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22

Kloppenborg, Thomas, Marco Schikorra, Jan P. Rottberg, and A. Erman Tekkaya. "Optimization of the Die Topology in Extrusion Processes." Advanced Materials Research 43 (April 2008): 81–88. http://dx.doi.org/10.4028/www.scientific.net/amr.43.81.

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This paper presents the results of investigations on topology optimizations in extrusion dies. The change of material viscosity of finite elements in the numerical model is utilized to allow or to block the material flow through the finite elements in simplified two-dimensional extrusion models. Two different optimization procedures are presented. In the first part of the paper dead zones in a flat and in a porthole die were improved by enhance the streamlining of the extrusion die. In the second part an evolutionary optimization algorithm has been used to optimize the extrusion die topology i

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23

Caputi, Antonio, Davide Russo, and Caterina Rizzi. "Multilevel topology optimization." Computer-Aided Design and Applications 15, no. 2 (2017): 193–202. http://dx.doi.org/10.1080/16864360.2017.1375669.

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24

Yang, R. J. "Multidiscipline topology optimization." Computers & Structures 63, no. 6 (1997): 1205–12. http://dx.doi.org/10.1016/s0045-7949(96)00402-6.

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25

Maute, K., and E. Ramm. "Adaptive topology optimization." Structural Optimization 10, no. 2 (1995): 100–112. http://dx.doi.org/10.1007/bf01743537.

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26

Brittain, Kevin, Mariana Silva, and Daniel A. Tortorelli. "Minmax topology optimization." Structural and Multidisciplinary Optimization 45, no. 5 (2011): 657–68. http://dx.doi.org/10.1007/s00158-011-0715-y.

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27

Sigmund, Ole, and Kurt Maute. "Topology optimization approaches." Structural and Multidisciplinary Optimization 48, no. 6 (2013): 1031–55. http://dx.doi.org/10.1007/s00158-013-0978-6.

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28

Hansen, Michael R., and Torben O. Andersen. "System topology optimization." Australian Journal of Mechanical Engineering 2, no. 2 (2005): 133–41. http://dx.doi.org/10.1080/14484846.2005.11464487.

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29

Nishiwaki, Shinji, and Kenjiro Terada. "Advanced topology optimization." International Journal for Numerical Methods in Engineering 113, no. 8 (2017): 1145–47. http://dx.doi.org/10.1002/nme.5703.

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30

Tao, Ziyou. "Stress Analysis and Size Optimization of Suspension Beam Structure of Robot Manipulator." Theoretical and Natural Science 2, no. 1 (2023): 92–96. http://dx.doi.org/10.54254/2753-8818/2/20220174.

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In this paper, the stress and deformation of a manipulator structure are analyzed, and the structural optimization design is carried out. The initial configuration is a cantilever beam structure with rectangular section, which is fixed at one end and bears a load of 1 ton at the other end. After stress and deformation analysis with ABAQUS software and SolidWorks software, three optimizations were carried out. Geometric configuration optimization, topology optimization and material optimization. After optimization, the overall quality of the structure is reduced by 80%, and there is no great lo

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31

Kopylova, Veronika S., Stanislav E. Boronovskiy, and Yaroslav R. Nartsissov. "Fundamental principles of vascular network topology." Biochemical Society Transactions 45, no. 3 (2017): 839–44. http://dx.doi.org/10.1042/bst20160409.

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The vascular system is arguably the most important biological system in many organisms. Although the general principles of its architecture are simple, the growth of blood vessels occurs under extreme physical conditions. Optimization is an important aspect of the development of computational models of the vascular branching structures. This review surveys the approaches used to optimize the topology and estimate different geometrical parameters of the vascular system. The review is focused on optimizations using complex cost functions based on the minimum total energy principle and the relati

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32

de Ruiter, M. J., and F. van Keulen. "Topology optimization using a topology description function." Structural and Multidisciplinary Optimization 26, no. 6 (2004): 406–16. http://dx.doi.org/10.1007/s00158-003-0375-7.

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33

Liu Hu, 刘虎, 朱镭 Zhu Lei, 吴妍 Wu Yan, 高瑜 Gao Yu, 闫伟亮 Yan Weiliang та 崔凯 Cui Kai. "巡飞弹载光电关键结构拓扑优化设计方法". Infrared and Laser Engineering 52, № 5 (2023): 20220767. http://dx.doi.org/10.3788/irla20220767.

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34

Gong, Yunyi, Yoshitsugu Otomo, and Hajime Igarashi. "Multi-objective topology optimization of magnetic couplers for wireless power transfer." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (2020): 325–33. http://dx.doi.org/10.3233/jae-209337.

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In this paper, the multi-objective topology optimizations of wireless power transfer (WPT) devices with two different coil geometries are proposed for obtaining the designs with good balance between transfer efficiency and safety. For this purpose, the proposed method adopts the normalized Gaussian network (NGnet) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition, the optimization under the different constraint on ferrite volume is carried out to verify its influence on optimization results. It has been shown that the proposed method successfully provides the Pareto solutio

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35

KARAKOÇ, Feridun, Rafael Villalobos TORRES, Ahmet DAYANÇ, and Melih CANLIDİNÇ. "TOPOLOGY OPTIMIZATION OF A HANGER FOR THE CRANE OF A BOAT." International Journal of Advanced Natural Sciences and Engineering Researches 7, no. 6 (2023): 163–69. http://dx.doi.org/10.59287/ijanser.1151.

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Topology optimization is the process of optimizing the shape and material distribution of a part. This study examines the topology optimization of the hanging apparatus of a boat's crane. The goal here is to design a lighter and more efficient hanging apparatus. Initially, topology optimization was performed using a CAD software such as Autodesk Fusion 360. This software aids engineers in creating complex designs, simulating real-world scenarios, and optimizing material distribution. The design process began with the use of a non-equilateral triangle to determine the shape of the part. Later,

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36

Zhu, Nanhai, and Jinlei Liu. "Multiobjective Topology Optimization of Spatial-Structure Joints." Advances in Civil Engineering 2021 (April 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/5530644.

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To realize the static and dynamic multiobjective topology optimization of joints in spatial structures, structural topology optimization is carried out to maximize the stiffness under static multiload conditions and maximize the first third-order dynamic natural frequencies. According to the single-objective optimization results, the objective function of the multiobjective topology optimization of joints is established by using the compromise programming method, and the weight coefficient of each static load condition is determined by using the analytic hierarchy process. Subsequently, under

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37

Yang, R. J., and C. M. Lu. "Topology Optimization with Superelements." AIAA Journal 34, no. 7 (1996): 1533–35. http://dx.doi.org/10.2514/3.60028.

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38

YAJI, Kentaro. "Topology Optimization for Beginners." Journal of the Japan Society for Precision Engineering 85, no. 11 (2019): 965–68. http://dx.doi.org/10.2493/jjspe.85.965.

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39

Duriez, Edouard, Joseph Morlier, Catherine Azzaro-Pantel, and Miguel Charlotte. "Ecodesign with topology optimization." Procedia CIRP 109 (2022): 454–59. http://dx.doi.org/10.1016/j.procir.2022.05.278.

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40

Akin, J. E., and Javier Arjona‐Baez. "Enhancing structural topology optimization." Engineering Computations 18, no. 3/4 (2001): 663–75. http://dx.doi.org/10.1108/02644400110387640.

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41

Chen, T. Y., and C. C. Shieh. "Fuzzy multiobjective topology optimization." Computers & Structures 78, no. 1-3 (2000): 459–66. http://dx.doi.org/10.1016/s0045-7949(00)00091-2.

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42

Gain, Arun L., Glaucio H. Paulino, Leonardo S. Duarte, and Ivan F. M. Menezes. "Topology optimization using polytopes." Computer Methods in Applied Mechanics and Engineering 293 (August 2015): 411–30. http://dx.doi.org/10.1016/j.cma.2015.05.007.

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43

Kharmanda, G., N. Olhoff, A. Mohamed, and M. Lemaire. "Reliability-based topology optimization." Structural and Multidisciplinary Optimization 26, no. 5 (2004): 295–307. http://dx.doi.org/10.1007/s00158-003-0322-7.

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44

Holmberg, Erik, Bo Torstenfelt, and Anders Klarbring. "Stress constrained topology optimization." Structural and Multidisciplinary Optimization 48, no. 1 (2013): 33–47. http://dx.doi.org/10.1007/s00158-012-0880-7.

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45

Holmberg, Erik, Bo Torstenfelt, and Anders Klarbring. "Fatigue constrained topology optimization." Structural and Multidisciplinary Optimization 50, no. 2 (2014): 207–19. http://dx.doi.org/10.1007/s00158-014-1054-6.

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46

Zhou, Ming, and Raphael Fleury. "Fail-safe topology optimization." Structural and Multidisciplinary Optimization 54, no. 5 (2016): 1225–43. http://dx.doi.org/10.1007/s00158-016-1507-1.

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47

Nana, Alexandre, Jean-Christophe Cuillière, and Vincent Francois. "Towards adaptive topology optimization." Advances in Engineering Software 100 (October 2016): 290–307. http://dx.doi.org/10.1016/j.advengsoft.2016.08.005.

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48

Sigmund, Ole. "Manufacturing tolerant topology optimization." Acta Mechanica Sinica 25, no. 2 (2009): 227–39. http://dx.doi.org/10.1007/s10409-009-0240-z.

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49

Yang, R. J., and C. J. Chen. "Stress-based topology optimization." Structural Optimization 12, no. 2-3 (1996): 98–105. http://dx.doi.org/10.1007/bf01196941.

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50

Norato, Julián A. "Topology optimization with supershapes." Structural and Multidisciplinary Optimization 58, no. 2 (2018): 415–34. http://dx.doi.org/10.1007/s00158-018-2034-z.

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