A simple and compact Python code for complex 3D topology optimization

2015 ◽  
Vol 85 ◽  
pp. 1-11 ◽  
Author(s):  
Zhi Hao Zuo ◽  
Yi Min Xie
Keyword(s):  
Topology Optimization ◽  
3D Topology

scholarly journals 3D topology optimization of heat sinks for liquid cooling

2020 ◽  
Vol 178 ◽  
pp. 115540
Author(s):  
Sicheng Sun ◽  
Piotr Liebersbach ◽  
Xiaoping Qian
Keyword(s):  
Topology Optimization ◽  
Heat Sinks ◽  
Liquid Cooling ◽  
3D Topology

scholarly journals A MATLAB-Based Framework for Designing 3D Topology Optimized Soft Robotic Grippers

2020 ◽  
Author(s):  
Yilun Sun ◽  
Yuqing Liu ◽  
Nandi Zhou ◽  
Tim C. Lueth
Keyword(s):  
Topology Optimization ◽  
Synthesis Method ◽  
Experimental Tests ◽  
Industrial Applications ◽  
Synthesis Process ◽  
Automatic Design ◽  
Irregular Shapes ◽  
Continuum Structure ◽  
Future Work ◽  
3D Topology

Soft robotic grippers are widely used in different industrial applications since they show great advantages in the adaptable grasping of objects with irregular shapes. However, as many soft grippers have a monolithic structure and gain their motion from the elastic deformation, it is difficult to use the conventional rigid-body mechanism theory to synthesize the shape of the soft grippers. To cope with this problem, the topology optimization is frequently employed as synthesis method since it can achieve automatic design of continuum-structure mechanisms. In this paper, we propose a novel 3D topology optimization framework in MATLAB to achieve automatic design of soft robotic grippers. Two design examples are also presented to illustrate the automatic synthesis process. Experimental tests have shown that the 3D topology optimized grippers in the example can successfully grasp objects with different shapes. In future work, the proposed framework can be further developed to synthesize soft robotic grippers with different actuation mechanisms and task-specific grasping behaviors.

NURBS hyper-surfaces for 3D topology optimization problems

2019 ◽  
pp. 1-20 ◽  
Author(s):  
Giulio Costa ◽  
Marco Montemurro ◽  
Jérôme Pailhès
Keyword(s):  
Topology Optimization ◽  
Optimization Problems ◽  
3D Topology

Topology Optimization of the Caudal Fin of the Three-Dimensional Self-Propelled Swimming Fish

2014 ◽  
Vol 6 (06) ◽  
pp. 732-763 ◽  
Author(s):  
Zhiqiang Xin ◽  
Chuijie Wu
Keyword(s):  
Topology Optimization ◽  
Swimming Speed ◽  
Moving Boundary ◽  
Swimming Performance ◽  
Three Dimensional ◽  
The Body ◽  
Caudal Fin ◽  
Swimming Efficiency ◽  
Vorticity Flux ◽  
3D Topology

AbstractBased on the boundary vorticity-flux theory, topology optimization of the caudal fin of the three-dimensional self-propelled swimming fish is investigated by combining unsteady computational fluid dynamics with moving boundary and topology optimization algorithms in this study. The objective functional of topology optimization is the function of swimming efficiency, swimming speed and motion direction control. The optimal caudal fin, whose topology is different from that of the natural fish caudal fin, make the 3D bionic fish achieve higher swimming efficiency, faster swimming speed and better maneuverability. The boundary vorticity-flux on the body surface of the 3D fish before and after optimization reveals the mechanism of high performance swimming of the topology optimization bionic fish. The comparative analysis between the swimming performance of the 3D topology optimization bionic fish and the 3D lunate tail bionic fish is also carried out, and the wake structures of two types of bionic fish show the physical nature that the swimming performance of the 3D topology optimization bionic fish is significantly better than the 3D lunate tail bionic fish.

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