Hubei key Laboratory of Hydroelectric Machinery Design and Maintenance

Laboratory of, China

Hubei key Laboratory of Hydroelectric Machinery Design and Maintenance

Laboratory of, China
SEARCH FILTERS
Time filter
Source Type

Du Y.,China Three Gorges University | Du Y.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance | Li H.,China Three Gorges University | Li H.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance | And 3 more authors.
Advances in Engineering Software | Year: 2016

To improve the poor shear performance of periodic lattice structure consisting of hexagonal unit cells, this study develops a new computational design method to apply topology optimization to search the best topological layout for lattice structures with enhanced shear stiffness. The design optimization problem of micro-cellular material is formulated based on the properties of macrostructure to maximize the shear modulus under a prescribed volume constraint using the energy-based homogenization method. The aim is to determine the optimal distribution of material phase within the periodic unit cell of lattice structure. The proposed energy-based homogenization procedure utilizes the sensitivity filter technique, especially, a modified optimal algorithm is proposed to evolve the microstructure of lattice materials with distinct topological boundaries. A high shear stiffness structure is obtained by solving the optimization model. Then, the mechanical equivalent properties are obtained and compared with those of the hexagonal honeycomb sandwich structure using a theoretical approach and the finite element method (FEM) according to the optimized structure. It demonstrates the effectiveness of the proposed method in this paper. Finally, the structure is manufactured, and then the properties are tested. Results show that the shear stiffness and bearing properties of the optimized lattice structure is better than that of the traditional honeycomb sandwich structure. In general, the proposed method can be effectively applied to the design of periodic lattice structures with high shear resistance and super bearing property. © 2017 Elsevier Ltd.


Zhang F.-J.,China Three Gorges University | Zhang F.-J.,Hubei key Laboratory of Hydroelectric Machinery Design and Maintenance | Liu Z.,China Three Gorges University | Zhou C.,China Three Gorges University | Lei Y.,China Three Gorges University
Applied Mechanics and Materials | Year: 2013

In allusion to temperature hard to control for parameters parameter being variable and nonlinearity in the process of annealing furnace. A detailed study of the annealing furnace temperature control by combined with fuzzy and PID in this paper, all dynamic parameters of the annealing furnace temperature have been considered effectively, and by this control system method the temperature of annealing furnace was controled steadily. Through the simulation experiments show that this PID control mode has a characteristics of good dynamic performance, strong adaptability and good robustness in the application of the annealing furnace temperature control. © (2013) Trans Tech Publications, Switzerland.


Du Y.-X.,China Three Gorges University | Du Y.-X.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance | Chen D.,China Three Gorges University | Fang Z.-F.,China Three Gorges University | And 3 more authors.
Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics | Year: 2014

In order to suppress numerical instability problems in topology optimization of continuum structures, a new local control rule is proposed by using the principle of error amplifier and feedback control in control system for reference. This control rule is a new kind of updating rule for variables without gradient constraints. The topology optimization model for continuum structures is established basing on the theory of Cellular Automata(CA). The optimization objective is referred to as the uniform strain density distribution. Topology optimization design of continuum structures in two dimensions is accomplished and the optimal material distribution in the design domain is thus obtained. The effect of different error amplification factors to optimizing results is discussed using three typical numerical examples. The analysis results illustrate the updating rule can avoid numerical stability problems such as checkerboard patterns and mesh dependency effectively.


Du Y.,China Three Gorges University | Chen D.,China Three Gorges University | Chen D.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance
CMES - Computer Modeling in Engineering and Sciences | Year: 2012

This study proposes a new topology optimization method for continuum structures, which includes modified heuristic optimality criteria in conjunction with the SIMP scheme to suppress gray-scale elements occurred in topology optimization of continua through smoothed Heaviside function. In the process of numerical implementation, the gray scale elements are suppressed to approach the binary bounds of 0 or 1 by utilizing the proposed approach and the corresponding convergence criterion. Two typical numerical examples are used to demonstrate the effectiveness of the proposed method in suppressing the gray-scale elements with intermediate densities, as well as the efficiency of this method in the numerical procedure. Copyright © 2012 Tech Science Press.


Xiang X.,China Three Gorges University | Du Y.X.,China Three Gorges University | Du Y.X.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance | Tian Q.H.,China Three Gorges University | And 2 more authors.
Applied Mechanics and Materials | Year: 2014

The hybrid cellular automaton(HCA) algorithm is a gradient-free methodology that combines both local update rules based on the cellular automaton(CA) paradigm and the finite element analysis(FEA). The local update rules could determine the distribution of the material based on the local state information collected from cellular automaton paradigm. This paper proposes a modified update rule of field variable to suppress the mesh dependency and gray-scale elements problems occurred in topology optimization of continuum structures. Two typical numerical examples are presented to prove the effectiveness and robustness of the proposed method in solving the numerical instabilities problem. © (2014) Trans Tech Publications, Switzerland.


Du Y.,China Three Gorges University | Du Y.,Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance | Chen D.,China Three Gorges University | Xiang X.,China Three Gorges University | And 2 more authors.
CMES - Computer Modeling in Engineering and Sciences | Year: 2013

Topological design of continuum structures usually involves numerical instabilities, such as checkerboards and mesh-dependency, which degenerate the manufacturability, the efficiency and the robustness of the optimal design. This paper will propose a new topology optimization method to suppress numerical instabilities occurred in the topology optimization of continua, according to the principle of error amplifier and feedback control in the control system. The design variables associated with topological design are updated based on the Cellular Automata (CA) theory. A couple of typical numerical examples are used to demonstrate the effectiveness of the proposed method in effectively suppressing numerical instabilities occurred in the numerical procedure of topology optimization. Copyright © 2013 Tech Science Press.

Loading Hubei key Laboratory of Hydroelectric Machinery Design and Maintenance collaborators
Loading Hubei key Laboratory of Hydroelectric Machinery Design and Maintenance collaborators