Static Design Based on Hierarchy Optimization Associating Materials and Structures

2011 ◽  
Vol 287-290 ◽  
pp. 544-547
Author(s):  
Yuan Dong Liu ◽  
Yi Hui Yin ◽  
Ying Chun Lu
Keyword(s):  
Topology Optimization ◽  
Porous Material ◽  
Numerical Experiments ◽  
Optimization Design ◽  
Integrated Design ◽  
Material Design ◽  
Structure Design ◽  
Design Model ◽  
Numerical Examples ◽  
Design Structure

In order to study the comparison of material design, structure design and integrated design about the porous material, a concurrent topology optimization design model associating materials and structures with periodical microstructures is presented. The sensitivity formulae of hierarchy optimization are given based on the integrated design model and related numerical experiments were carried out. The applicability of hierarchy optimization is discussed and their advantage and disadvantage are analyzed through numerical examples which provide some useful opinions about the porous material design.

Optimum design of automobile components using lattice structures for additive manufacturing

2020 ◽  
Vol 62 (6) ◽  
pp. 633-639 ◽  
Author(s):  
Büşra Aslan ◽  
Ali Rıza Yıldız
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Optimization Design ◽  
Lattice Structure ◽  
Structure Optimization ◽  
The Finite Element Method ◽  
Special Effect ◽  
Design Structure ◽  
Complex Models ◽  
Automobile Components

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.

Two-Scale Topology Optimization With Parameterized Cellular Structures

2021 ◽  
Author(s):  
Sina Rastegarzadeh ◽  
Jun Wang ◽  
Jida Huang
Keyword(s):  
Topology Optimization ◽  
High Resolution ◽  
Structural Optimization ◽  
Optimization Problem ◽  
Material Design ◽  
Homogenization Method ◽  
Elasticity Tensor ◽  
Structure Design ◽  
Cellular Structures ◽  
Mapping Technique

Abstract Advances in additive manufacturing enable the fabrication of complex structures with intricate geometric details. It also escalates the potential for high-resolution structure design. However, the increasingly finer design brings computational challenges for structural optimization approaches such as topology optimization (TO) since the number of variables to optimize increases with the resolutions. To address this issue, two-scale TO paves an avenue for high-resolution structural design. The design domain is first discretized to a coarse scale, and the material property distribution is optimized, then using micro-structures to fill each property field. In this paper, instead of finding optimal properties of two scales separately, we reformulate the two-scale TO problem and optimize the design variables concurrently in both scales. By introducing parameterized periodic cellular structures, the minimal surface level-parameter is defined as the material design parameter and is implemented directly in the optimization problem. A numerical homogenization method is employed to calculate the elasticity tensor of the cellular materials. The stiffness matrices of the cellular structures derived as a function of the level parameters, using the homogenization results. An additional constraint on the level parameter is introduced in the structural optimization framework to enhance adjacent cellulars interfaces’ compatibility. Based on the parameterized micro-structure, the optimization problem is solved concurrently with an iterative solver. The reliability of the proposed approach has been validated with different engineering design cases. Numerical results show a noticeable increase in structure stiffness using the level parameter directly in the optimization problem than the state-of-art mapping technique.

scholarly journals Lightweight Design of Front Suspension Upright of Electric Formula Car Based on Topology Optimization Method

2020 ◽  
Vol 11 (1) ◽  
pp. 15 ◽  
Author(s):  
Jixiong Li ◽  
Jianliang Tan ◽  
Jianbin Dong
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Lightweight Design ◽  
Geometric Model ◽  
Load Condition ◽  
Optimization Method ◽  
Structure Design ◽  
Front Suspension ◽  
Emergency Braking ◽  
Topology Optimization Method

In order to obtain a lightweight front upright of an electric formula car’s suspension, the topology optimization method is used in the front upright structure design. The mathematical model of the lightweight optimization design is constructed, and the geometric model of the initial design of the front upright is subjected to the ultimate load condition. The structural optimization of a front upright resulted in the mass reduction of the upright by 60.43%. The optimized model was simulated and verified regarding the strength, stiffness, and safety factor under three different conditions, namely turning braking, emergency braking, and sharp turning. In the experiment, the uprights were machined and assembled and integrated into the racing suspension. The experimental results showed that the optimized front uprights met the requirements of performance.

Topology Optimization Design of Implantable Energy Harvesting Device

2011 ◽  
Vol 55-57 ◽  
pp. 498-503
Author(s):  
Bin Zheng ◽  
Liang Ping Luo
Keyword(s):  
Topology Optimization ◽  
Energy Harvesting ◽  
Optimization Design ◽  
Mechanical Energy ◽  
Electric Energy ◽  
Structure Design ◽  
Mems Devices ◽  
Sensors And Actuators ◽  
Piezoelectric Energy ◽  
Piezoelectric Structure

When designing implantable biomedical MEMS devices, we must provide electric power source with long life and small size to drive the sensors and actuators work. Obviously, traditional battery is not a good choice because of its large size, limited lifetime and finite power storage. Living creatures all have non-electric energy sources, like mechanical energy from heart beat and pulse. Piezoelectric structure can convert mechanical energy to electric energy. In the same design condition, the more electric energy is generated, the better the piezoelectric structure design. This paper discusses the topology optimization method for the most efficient implantable piezoelectric energy harvesting device. Finally, a design example based on the proposed method is given and the result is discussed.

Finite Element Analysis and Topology Optimization Design for Motional Board of Injection Molding Machine

2014 ◽  
Vol 607 ◽  
pp. 573-576
Author(s):  
En Guang Zhang ◽  
Li Wang ◽  
Wen Ju Shan
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Topology Optimization ◽  
Injection Molding ◽  
Optimization Design ◽  
Structure Design ◽  
Molding Machine ◽  
Element Analysis ◽  
Injection Molding Machine ◽  
Load Carrying

The structure and the load-carrying capability of the front board of injection molding machine are more complex. The error of the approximation algorithm employed in engineering is larger so that the board may become invalid in the process of using, The finite element analysis can obtain the stress distribution in the parts so as to improve the accuracy of calculation and the quality of design; through The topology optimization analysis will take the initiative to find the optimal plan, which provides the theoretical basis for the improvement of the load-carrying capability and the structure design of board. This paper have conducted a parametric design, finite element analysis and the topology optimization design for a motional board of the injection molding machine using “Advanced simulation” of NX8.0, and get a quantitative conclusion of that the motional board volume is reduced and its stiffness is significantly enhanced.

scholarly journals RV reducer Design Using Resnet-based model and integration of Discretized OPtimization

2021 ◽  
Author(s):  
Jiacheng Miao ◽  
Chaoyang Li ◽  
Bingkui Chen
Keyword(s):  
Optimization Design ◽  
Evaluation Method ◽  
Structural Parameters ◽  
Structure Design ◽  
Design Model ◽  
System Structure ◽  
Enhancement Effect ◽  
Nsga Ii ◽  
Multi Objective ◽  
Rv Reducer

Abstract A new type of mechanical system structure design model is proposed, which uses a small number of system feature samples to generate a new structure model. In this model, (1) the theory of limited sample recommendation algorithm is used to study the external dimensions recommendation of the reducer, an SG-Resnet network suitable for the generation of reducer structure parameters is established, the main factors affecting the promotion ability and learning rate of the SG-Resnet network structure are analyzed through hyperparameters, and in-depth study of the mechanism of each influencing factor. (2) Establish an optimization design method for the internal dimensions of the reducer, and initially calculate the structural parameters according to the basic performance parameters of the reducer, combine the objective function and constraint conditions to establish the corresponding multi-objective optimization model, and establish the Kriging proxy model. The mixed population NSGA-II algorithm is proposed, the MP-NSGA-II algorithm is used to obtain multiple sets of Pareto optimal solutions, and the multi-objective evaluation method is used to select the optimal solution from the non-dominated solution set. Experiments were carried out to verify the positive enhancement effect of the structural design model on the stiffness of the reducer. The experiment showed the reliability and generalizability of the model. This research provides a new solution for reducer design and lays a solid foundation for the development of integrated RV reducer forward design software.

Multi-Objective Structure Optimization Design of a Car Lower Control Arm

2013 ◽  
Vol 774-776 ◽  
pp. 420-427 ◽  
Author(s):  
Kai Wang ◽  
De Sheng Yang ◽  
Da Wei Ma
Keyword(s):  
Topology Optimization ◽  
Topological Structure ◽  
Isotropic Material ◽  
Optimization Design ◽  
Structure Optimization ◽  
Structure Design ◽  
Penalization Method ◽  
Multi Objective ◽  
Lower Control Arm ◽  
Structure Optimization Design

A multi-objective structure optimization design of a car lower control arm was operated in order to improve both compliance and eigenfrequencies effectively. Based on SIMP (solid isotropic material penalization) method, compromise programming method was adopted to define multi-objective topology optimization. The topological structure of lower control arm was obtained through the optimization, and further, the new structure design. Results verified by FEA show that the new design can simultaneously satisfy the compliance and eigenfrequencies objective, and can meet yield stress requirements.

Structure Design of a Machining Center Bed Based on Topology Optimization Technique

2014 ◽  
Vol 490-491 ◽  
pp. 580-585 ◽  
Author(s):  
Ya Li Ma ◽  
Zhen Gong ◽  
Chao Ma
Keyword(s):  
Topology Optimization ◽  
Natural Frequency ◽  
Conceptual Design ◽  
Optimization Technique ◽  
Structure Design ◽  
Original Structure ◽  
Element Analysis ◽  
First Order ◽  
Machining Center ◽  
Design Structure

This paper applies efficiently topology optimization technique to the conceptual design of a bed structure of machining center, which achieves for sufficient rigidity and reasonable distribution of weight of the bed. Firstly, conceptual design of the bed structure is obtained by using SIMP method under the conditions of a multi-objective optimization considering both the weighted structure compliance and the first-order natural frequency on multiple load cases and volume constraints. Subsequently, size design is employed to determine the main dimensions of the supporting plates and reinforcing ribs. During this stage an exhaustion method is identified to select suitable dimensions to optimize the structure performance. Finally, The Finite Element Analysis (FEM) is utilized for comparison of optimal and original bed structure. The FEM results indicate that the optimal design structure can reduce the mass by 6.6% with the less stiffness fluctuation and the first-order natural frequency can also improve by 7.9% compared with the original structure.

scholarly journals Topology Optimization Design and Experimental Research of a 3D-Printed Metal Aerospace Bracket Considering Fatigue Performance

2021 ◽  
Vol 11 (15) ◽  
pp. 6671
Author(s):  
Yisheng Chen ◽  
Qianglong Wang ◽  
Chong Wang ◽  
Peng Gong ◽  
Yincheng Shi ◽  
...  
Keyword(s):  
Topology Optimization ◽  
High Performance ◽  
Optimization Design ◽  
Fatigue Testing ◽  
Design Method ◽  
Vertical Direction ◽  
Structure Design ◽  
Fatigue Performance ◽  
Original Structure ◽  
Topology Optimization Problem

In the aerospace industry, spacecraft often serve in harsh operating environments, so the design of ultra-lightweight and high-performance structures is a major requirement in aerospace structure design. In this article, a lightweight aerospace bracket considering fatigue performance was designed by topology optimization and manufactured by 3D-printing. Considering the requirements of assembly with a fixture for fatigue testing and avoiding stress concentration, a reconstructed model was presented by CAD software before manufacturing. To improve the fatigue performance of the structure, this article proposes the design idea of abstracting the practiced working condition of the bracket subjected to cycle loads in the vertical direction via a multiple load-case topology optimization problem by minimizing compliance under a variety of asymmetric extreme loading conditions. Parameter sweeping was used to improve the computational efficiency. The mass of the new bracket was reduced by 37% compared to the original structure. Both numerical simulation and the fatigue test were implemented to support the validity of the new bracket. This work indicates that the integration of the proposed topology optimization design method and additive manufacturing can be a powerful tool for the design of lightweight structures considering fatigue performance.

scholarly journals Topology optimization design of a lightweight integrated manifold with low pressure loss in a hydraulic quadruped robot actuator

2021 ◽  
Vol 12 (1) ◽  
pp. 249-257
Author(s):  
Hsinpu Huang ◽  
Junhui Zhang ◽  
Bing Xu ◽  
Gan Liu ◽  
Qingyou Luo ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Weight Control ◽  
Load Capacity ◽  
Structure Design ◽  
Mobile Systems ◽  
Print Quality ◽  
Quadruped Robots ◽  
Actual Application ◽  
High Load Capacity

Abstract. In recent years, hydraulic quadruped robots have received increasing attention because of their strong environment adaptability and high load capacity. However, weight control is an important issue for mobile systems in consideration of limited onboard energy. Overweight will cause extra load on joints, reduce the flexibility of movement, and consume more power. Topology optimization is an effective tool to reduce volume and weight while maintaining enough strength. This article takes both optimal geometries and contained flow channels into consideration and gives solutions to structure design and good print quality in a manifold used on a robot. Using topology optimization, the volume of the manifold is further reduced by 50.7 %, while it can meet the mechanical requirement for actual application.

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