The lattice structure configuration design for stereolithography investment casting pattern using topology optimization

2012 ◽  
Vol 18 (5) ◽  
pp. 353-361 ◽  
Author(s):  
X.J. Gu ◽  
J.H. Zhu ◽  
W.H. Zhang
Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 732-737
Author(s):  
Zhiping Wang ◽  
Yicha Zhang ◽  
Gaofeng Li ◽  
Guoqing Jin ◽  
Alain Bernard

2020 ◽  
Vol 62 (6) ◽  
pp. 633-639 ◽  
Author(s):  
Büşra Aslan ◽  
Ali Rıza Yıldız

Abstract In today’s world, reducing fuel consumption is one of the most important goals for the automotive industry. For this reason, weight reduction is one of the main topics in this research and for various companies. In this research, topology optimization was conducted on a suspension arm as a means of ensuring balance in automobiles. Subsequently, the model, formed by topology optimization was filled with a lattice structure and re-optimized by size optimization to obtain optimum dimensions for the model. These operations are described as lattice structure optimization. Additive manufacturing (3D printer) is necessary to produce complex models (after topology and lattice structure optimization). A static analysis of the new models was conducted by using the finite element method, and the results were compared with those of the initial design of the model. As a result of the comparison, positive results were obtained, and it was shown that topology optimization and lattice structural optimization could be used in the design of vehicle elements. According to the results obtained from lattice structure optimization, design structure can be formed more reliably than via topology optimization. In addition, both configurations and layouts of the cellular structures have a special effect on the overall performance of the lattice structure.


2019 ◽  
Vol 34 ◽  
pp. 683-694 ◽  
Author(s):  
Jiayi Wang ◽  
Santosh Reddy Sama ◽  
Paul C. Lynch ◽  
Guha Manogharan

2013 ◽  
Vol 483 ◽  
pp. 510-513
Author(s):  
Ji Hong Zhu ◽  
Huan Huan Gao ◽  
JIe Hou

The main purpose of this paper is to present an aerospace engineering application of topology optimization for maximizing eigenvalue problem. In this problem, the internal structure of a rocket which is supposed to support four satellites needs to be designed. To improve the vibration performance of the whole structure, the topology optimization technology is introduced to gain a suitable structure configuration. To simplify the model, satellites are regarded as lumped masses and connecting to their supporting structure with rigid links.


Author(s):  
Tian Lei ◽  
Joe Alexandersen ◽  
Boyan S. Lazarov ◽  
Fengwen Wang ◽  
Jan H.K. Haertel ◽  
...  

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Yuan Liu ◽  
Shurong Zhuo ◽  
Yining Xiao ◽  
Guolei Zheng ◽  
Guoying Dong ◽  
...  

Abstract Lightweight lattice structure generation and topology optimization (TO) are common design methodologies. In order to further improve potential structural stiffness of lattice structures, a method combining the multi-topology lattice structure design based on unit-cell library with topology optimization is proposed to optimize the parts. First, a parametric modeling method to rapidly generate a large number of different types of lattice cells is presented. Then, the unit-cell library and its property space are constructed by calculating the effective mechanical properties via a computational homogenization methodology. Third, the template of compromise Decision Support Problem (cDSP) is applied to generate the optimization formulation. The selective filling function of unit cells and geometric parameter computation algorithm are subsequently given to obtain the optimum lightweight lattice structure with uniformly varying densities across the design space. Lastly, for validation purposes, the effectiveness and robustness of the optimized results are analyzed through finite element analysis (FEA) simulation.


2016 ◽  
Vol 16 (11) ◽  
pp. 11214-11218 ◽  
Author(s):  
Ji-Woon Lee ◽  
Hyun-Jin Choi ◽  
Taek-Kyun Jung ◽  
Byong-Pil Lee ◽  
Myoung-Gyun Kim ◽  
...  

Author(s):  
Bradley Hanks ◽  
Mary Frecker

Abstract Additive manufacturing is a developing technology that enhances design freedom at multiple length scales, from the macroscale, or bulk geometry, to the mesoscale, such as lattice structures, and even down to tailored microstructure. At the mesoscale, lattice structures are often used to replace solid sections of material and are typically patterned after generic topologies. The mechanical properties and performance of generic unit cell topologies are being explored by many researchers but there is a lack of development of custom lattice structures, optimized for their application, with considerations for design for additive manufacturing. This work proposes a ground structure topology optimization method for systematic unit cell optimization. Two case studies are presented to demonstrate the approach. Case Study 1 results in a range of unit cell designs that transition from maximum thermal conductivity to minimization of compliance. Case Study 2 shows the opportunity for constitutive matching of the bulk lattice properties to a target constitutive matrix. Future work will include validation of unit cell modeling, testing of optimized solutions, and further development of the approach through expansion to 3D and refinement of objective, penalty, and constraint functions.


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