Digital Manufacturing of Topology Optimization Designed Structure Based on Lever Set Function

Yuan Yuan Chang; Sen Liang; Peng Mi; Xuan Li

doi:10.4028/www.scientific.net/AMR.102-104.199

Paper Titles

Three-Dimensional Modeling and Finite Element Analysis of Ladle Turret
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Optimum Design of a High Power Density Magnetic-Gel Brake Base Using Neural Network Model and Genetic Algorithm
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Data Collection and Model Construction Methods for Reverse Engineering
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Some Important Applications of Support-Function in Theory of Mechanisms
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Digital Manufacturing of Topology Optimization Designed Structure Based on Lever Set Function
p.199

Structural Reliability Analysis of Loading Platform Cantilever under Multiple Failure Modes
p.204

Study on Product Design and Process Simulation of Hydroformed Automobile Framework
p.210

Kinematics Analysis of Mechanisms Based on Dynamics Multibody Systems in Virtual Assembly Environment
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Characteristics Analysis of TBM Disc Cutter Ring
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 102-104Digital Manufacturing of Topology Optimization...

Digital Manufacturing of Topology Optimization Designed Structure Based on Lever Set Function

Abstract:

Based on the lever set function and the augmented Lagrange multiplier method, the topology optimization design of structure was achieved and the final cloud data were saved in matrix. The trigonometric patch method was explored to approach the optimized level set surface and the boundary data extraction was realized by each ridge line parametric equation. Together with the standards of the digital manufacturing, the cloud data were sorted through programming and exported by complying with the data format of digital manufacturing. The Wire Electrical Discharge Machining was proposed here to achieve the manufacturing on G01 code, which was proved to be practical by NC Viewer. This process fulfilled the whole courses from topology optimization to digital manufacturing, which makes the foundation for the promotion and large-scale production of topology optimization in future.