Periodic Layout Optimization of Cyclic Symmetric Structure

Jiao, Hongyu; Li, Ying; Yang, Lina

doi:10.1109/access.2019.2913188

Cited by 3 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way, the mesh scales are the same of the two problem setups, and the indexes of the loading nodes are identical as well. Therefore, the element stiffness matrix can be formulated with (13).…”

Section: A Casementioning

confidence: 99%

Topology Optimization With Selective Problem Setups

Huang

Liu

2019

IEEE Access

View full text Add to dashboard Cite

Topology optimization has demonstrated its power in structural design under a variety of physical disciplines. Generally, a topology optimization problem is formulated with clearly-defined problem setup. Both design domain shape and boundary condition are clearly-defined during pre-processing. Optimization with multiple choices of design domains or boundary conditions have to be performed with multiple runs of the algorithm to make the best choice among the selective problem setups. The computational cost is proportional to the number of problem setup choices which can be inefficient if a large number of choices are involved. Therefore, to save the computational cost, a novel topology optimization method is developed to solve the design problem with selective problem setups. This method employs a novel meshing strategy and material interpolation model to unify the multiple problem setups into a single optimization problem. Therefore, the optimization algorithm only runs once to concurrently derive the optimal structural shape and the best problem setup choice in a very efficient manner. In addition, the problem formulation is simple. Only N more design variables are added to realize the interpolation among N + 1 problem setup choices, other than the density variables for structural topology description. A few numerical examples will be demonstrated to show the effectiveness of the proposed method.

show abstract

Section: A Casementioning

confidence: 99%

Topology Optimization With Selective Problem Setups

Huang

Liu

2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Stefan optimized the titanium alloy components of a bionic robot by combining topology optimization technology and additive manufacturing technology, improving the flexibility of the robot's activities to meet the requirements for the finally obtained product (Junk et al, 2018). Cheng et al (2019) used topology optimization to functionally design gradient lattices for components in additive manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Additive manufacturing of a continuum topology-optimized palletizing manipulator arm

Chen

Yang

2021

Mech. Sci.

View full text Add to dashboard Cite

Abstract. In this article, the lightweight design of a palletizing manipulator arm structure is carried out. The optimization target is designed in 3D with Solid Works. To determine the optimization area and the secondary reconstruction model after the structure is optimized, the reliability and cost of the design structure are also considered. The meta-software performs mechanical performance simulation experiments under the corresponding working conditions for the lightweight structural design of the target structure via the topology optimization methods. Finally, with additive manufacturing technology, the design and printing of the filled skeletal Voronoi structure and the nested-external-removal Voronoi structure of the palletizing manipulator arm are performed.

show abstract