scholarly journals Compliance Model and Structure Optimization Method Based on Genetic Algorithm for Flexure Hinge Based on X-Lattice Structure

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yin Zhang ◽  
Jianwei Wu ◽  
Jiubin Tan
Keyword(s):  
Genetic Algorithm ◽  
Lattice Structure ◽  
Structural Parameters ◽  
Structure Optimization ◽  
Optimization Method ◽  
Flexure Hinge ◽  
The Finite Element Method ◽  
Flexure Hinges ◽  
Truss Model ◽  
Compliance Model

In order to obtain a new structure of beam flexure hinge with good performance, the flexure hinge based on the X-lattice structure is researched in this paper. The truss model in the finite element method is used to model the 6-DOF compliance of the flexure hinge based on the X-lattice structure. The influence of structural parameters on the compliance and compliance ratio of flexure hinges is analyzed based on this model, and the performance is compared with the traditional beam flexure hinge of the same size. In order to design a flexure hinge based on the X-lattice structure with good comprehensive performance, this paper proposes an intelligent structure optimization method based on a genetic algorithm. The feasibility of the optimization algorithm is verified by an example.

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.

A Structure Optimization for Hooklift Arm Device Based on the Genetic Algorithm

2012 ◽  
Vol 455-456 ◽  
pp. 1504-1508
Author(s):  
Huan Ming Chen ◽  
Da Wei Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Parameter Optimization ◽  
Structure Optimization ◽  
Optimization Method ◽  
Optimized Design ◽  
Design Decision ◽  
Original Design ◽  
Multi Objective ◽  
Engineering Constraint

Based on the theory of FEM, the hooklift arm is modeled with the FEM software, and the structure of the device is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal design decision of the hooklift arm device under the engineering constraint. Comparison between optimized design decision and original design decision shows that the optimization is correct and the proposed multi-objective/multi-parameter optimization method is effective in improving the hooklift arm device.

scholarly journals Improving energy compaction of a wavelet transform using genetic algorithm and fast neural network

2010 ◽  
Vol 20 (4) ◽  
pp. 417-433 ◽  
Author(s):  
Jan Stolarek
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Wavelet Transform ◽  
Energy Distribution ◽  
Lattice Structure ◽  
Optimization Method ◽  
New Method ◽  
Discrete Wavelet ◽  
Energy Compaction ◽  
High Pass

Improving energy compaction of a wavelet transform using genetic algorithm and fast neural networkIn this paper a new method for adaptive synthesis of a smooth orthogonal wavelet, using fast neural network and genetic algorithm, is introduced. Orthogonal lattice structure is presented. A new method of supervised training of fast neural network is introduced to synthesize a wavelet with desired energy distribution between output signals from low-pass and high-pass filters on subsequent levels of a Discrete Wavelet Transform. Genetic algorithm is proposed as a global optimization method for defined objective function, while neural network is used as a local optimization method to further improve the result. Proposed approach is tested by synthesizing wavelets with expected energy distribution between low- and high-pass filters. Energy compaction of proposed method and Daubechies wavelets is compared. Tests are performed using image signals.

Performance Optimization of Flexure Hinges Using Genetic Algorithm

2011 ◽  
Vol 121-126 ◽  
pp. 4542-4546
Author(s):  
Bing Li ◽  
Jin Gou
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Performance Optimization ◽  
Flexure Hinge ◽  
Flexure Hinges ◽  
Maximum Value

The flexure hinge is an important part of micro-displacement table in the precision instruments. To improve the performance of micro-displacement table, the key parameters of its flexure hinges: radius and thickness of hinge and length of connecting rods etc. are studied. Aiming at a commonly used parallel four-bar flexure hinges structure, the parameters of flexure hinge are optimized by using the genetic algorithm under the condition that the frequency of objective function approaches a maximum value.

Optimization and Analysis of Z-Type Flexure Hinge Based on Workbench

2014 ◽  
Vol 668-669 ◽  
pp. 226-229
Author(s):  
Hui Xue Bao ◽  
Qiang Liu ◽  
Rong Qi Wang ◽  
Cheng Ming Zuo ◽  
Xiao Qin Zhou
Keyword(s):  
Compliant Mechanisms ◽  
Structural Parameters ◽  
Optimization Method ◽  
Optimal Parameters ◽  
Element Analysis ◽  
Flexure Hinges ◽  
Performance Indexes ◽  
The Finite Element Analysis ◽  
Critical Components ◽  
Significant Factors

Flexure hinges are regarded as the critical components of the compliant mechanisms, its performance is one of the significant factors which could directly determine the merits and demerits of designed compliant mechanisms. So how to optimize the flexure hinges becomes the key step in designing processes of compliant mechanisms. In view of the presented importance of flexure hinges, this paper proposes a sort of multi-objective optimization method which can rapidly analyze the sensitivity and interactional laws between the performance indexes and the structural parameters of flexure hinges with the Workbench software, then to select the optimal parameters by combining with the actual working conditions of flexure hinges. Finally the finite element analysis is employed to analyze the optimization results and verify the effectiveness of proposed optimization method.

Dynamics Analysis of the Bar-Type Piezoelectric Motor Stator

2011 ◽  
Vol 117-119 ◽  
pp. 390-393
Author(s):  
Huai Yong Li ◽  
Li Zhong Xu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Theoretical Basis ◽  
Optimization Design ◽  
Structural Parameters ◽  
Structure Optimization ◽  
Dynamics Analysis ◽  
Ceramic Plate ◽  
Piezoelectric Motor ◽  
The Finite Element Method

In this paper, the modal and the harmony response analyses of the stator of the bar-type piezoelectric motor are done by using the finite element method. The influences of the motor’s structural parameters and the voltage applied to ceramic plate on the characteristics of the stator are discussed. Some useful results are given. This provides theoretical basis for the structure optimization design of the motor.

scholarly journals Research on the Disc Sensitive Structure of a Micro Optoelectromechanical System (MOEMS) Resonator Gyroscope

Micromachines ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 264 ◽  
Author(s):  
Xiang Shen ◽  
Liye Zhao ◽  
Dunzhu Xia
Keyword(s):  
Microelectromechanical Systems ◽  
Structural Parameters ◽  
Low Cost ◽  
High Sensitivity ◽  
Optimization Method ◽  
Resonant Wavelength ◽  
The Finite Element Method ◽  
Operating Modes ◽  
Model Research ◽  
Sensitive Structure

A micro optoelectromechanical system (MOEMS) resonator gyroscope based on a waveguide micro-ring resonator was proposed. This sensor was operated by measuring the shift of the transmission spectrum. Modal analysis was carried out for the disc sensitive structure of the MOEMS resonator gyroscope (MOEMS-RG). We deduced the equations between the equivalent stiffness and voltage of each tuning electrode and the modal parameters. A comprehensive investigation of the influences of the structure parameters on the sensitivity noise of the MOEMS-RG is presented in this paper. The mechanical sensitivity and transducer sensitivities of the MOEMS-RG, with varying structural parameters, are calculated based on the finite-element method. Frequency response test and the fiber optic spectrometer displacement test were implemented to verify the reliability of the model. Research results indicate that the resonant frequencies of the operating modes are tested to be 5768.407 Hz and 5771.116 Hz and the resonant wavelength change ΔX was 0.08 nm for 45° rotation angle. The resonant wavelength, which has a good linear response in working range, changes from −0.071 nm to 0.080 μm. The MOEMS-RG, with an optimized disc sensitive structure, can detect the deformation of the sensitive membrane effectively, and has a high sensitivity. This resonator shows very large meff, low f 0 , and very high Q. Therefore, this resonator can provide a small A R W B ( 0.09 ° / h ), which makes it a promising candidate for a low-cost, batch-fabricated, small size inertial-grade MOEMS gyroscope. The multi-objective optimization method could be expanded to include other objectives, constraints, or variables relevant to all kinds of gyroscopes or other microelectromechanical systems devices.

Design and Characterization of a Flexible Micro-Displacement Manipulator

2011 ◽  
Vol 221 ◽  
pp. 449-454
Author(s):  
Hua Wei Ji ◽  
Xiao Ping Hu
Keyword(s):  
Theoretical Analysis ◽  
Vibration Suppression ◽  
Fast Response ◽  
Flexure Hinge ◽  
Experimental Demonstration ◽  
The Finite Element Method ◽  
Mechanical Joints ◽  
Flexure Hinges ◽  
Two Degree Of Freedom

For its fast response, nanometer resolution, no backlash, no friction and bigger driving force, flexure hinge has been commonly used as a substitute for mechanical joints in the design of micro-displacement mechanisms used in vibration suppression and micro-positioning applications. However, inaccurate modeling of flexure hinges deteriorates the positioning accuracy. In this paper, a planar two-degree-of-freedom (DOF) parallel four-bar manipulator is designed with the intention of accurate flexure hinge modeling. A 1-DOF flexure hinge is considered, a static analysis and a dynamic analytical model of parallel four-bar manipulator is presented. Simulation result based on the finite element method is coincident to the analytic result. Based on the theoretical analysis, the experimental demonstration to study the performance of the manipulator is described, and experimental results are in close agreement with those predicted by the theoretical analysis.

scholarly journals Shape Optimization of Single-Curvature Arch Dam Based on Sequential Kriging-Genetic Algorithm

2019 ◽  
Vol 9 (20) ◽  
pp. 4366
Author(s):  
Yong-Qiang Wang ◽  
Rong-Heng Zhao ◽  
Ye Liu ◽  
Yi-Zheng Chen ◽  
Xiao-Yi Ma
Keyword(s):  
Genetic Algorithm ◽  
Shape Optimization ◽  
Optimization Method ◽  
Small Sample ◽  
Arch Dam ◽  
Genetic Optimization ◽  
The Finite Element Method ◽  
Kriging Surrogate Model ◽  
Arch Dams ◽  
Sample Set

Shape optimization of single-curvature arch dams using the finite element method (FEM) is often computationally expensive. To reduce the computational burden, this study introduces a new optimization method, combining a genetic algorithm with a sequential Kriging surrogate model (GA-SKSM), for determining the optimal shape of a single-curvature arch dam. At the start of genetic optimization, a KSM was constructed using a small sample set. In each iteration of optimization, the minimizing predictor criterion and low confidence bound criterion were used to collect samples from the domain of interest and accumulate them into a small sample set to update the KSM until the optimization process converged. A practical problem involving the optimization of a single-curvature arch dam was solved using the introduced GA-SKSM, and the performance of the method was compared with that of GA-KSM and GA-FEM methods. The results revealed that the GA-SKSM method required only 5.40% and 12.40% of the number of simulations required by the GA-FEM and GA-KSM methods, respectively. The GA-SKSM method can significantly improve computational efficiency and can serve as a reference for effective optimization of the design of single-curvature arch dams.

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