An enhanced genetic algorithm–based multi-objective design optimization strategy

Yuan, Rong; Li, Haiqing; Wang, Hongtao

doi:10.1177/1687814018784836

Cited by 20 publications

(13 citation statements)

References 34 publications

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“…As shown in Figure 10, the largest total strain is 0.0345, while the largest total strain under electric condition is 0.0376. According to equation (18), the fatigue life without electric condition is 345 cycles. The fatigue life under 0.7 A current input is 286 cycles.…”

Section: Fatigue Life Analysismentioning

confidence: 99%

Simulation-based design and optimization and fatigue characteristics for high-speed backplane connector

Yuan

Wang

2019

Advances in Mechanical Engineering

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In high-speed interconnect systems, high-speed backplane connectors are widely utilized. Its mechanical reliability is related to the stability of entire application systems directly. Insertion-extraction force and fatigue characteristics are important factors that affect the reliability of high-speed backplane connectors. To enhance the reliability of high-speed backplane connectors, in this study, a single CAD/CAE parametric model of the contacts is established. Not only the dynamic analysis of the insertion and extraction process but also the electro-thermal-structure coupling of the contacts are carried out using finite element analysis. By changing the insertion position of male terminal, the length of female terminal, and the thickness of male terminal, the insertion-extraction force can be optimized. According to the simulation of the insertion-extraction force and the electric-thermal-structure coupling results, both the mechanical life of this connector and the thermal-mechanical fatigue life under electrifying condition are evaluated. The results show that the mechanical life and thermal-mechanical fatigue life were 376 cycles and 286 cycles, respectively. The design solutions can provide the reference for the structural design, optimization, and fatigue life prediction of high-speed backplane connector.

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Section: Fatigue Life Analysismentioning

confidence: 99%

Simulation-based design and optimization and fatigue characteristics for high-speed backplane connector

Yuan

Wang

2019

Advances in Mechanical Engineering

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“…Approximation technology can be used to establish an alternative evaluation model with low computational cost, which is used for coupling subject analysis and sensitivity calculation. 37,38 It is one of the key research directions of MDO. The response test design method based on surface modeling is a common global approximation method.…”

Section: Design and Optimization Of Turbine Bladesmentioning

confidence: 99%

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

136

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In power and energy systems, both the aerodynamic performance and the structure reliability of turbine equipment are affected by utilized blades. In general, the design process of blade is high dimensional and nonlinear. Different coupled disciplines are also involved during this process. Moreover, unavoidable uncertainties are transported and accumulated between these coupled disciplines, which may cause turbine equipment to be unsafe. In this study, a saddlepoint approximation reliability analysis method is introduced and combined with collaborative optimization method to address the above challenge. During the above reliability analysis and design optimization process, surrogate models are utilized to alleviate the computational burden for uncertainties‐based multidisciplinary design and optimization problems. Smooth response surfaces of the performance of turbine blades are constructed instead of expensively time‐consuming simulations. A turbine blade design problem is solved here to validate the effectiveness and show the utilization of the given approach.

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“…The accelerated performance degradation equation is divided into a physical acceleration performance degradation equation and an empirical acceleration performance degradation equation, like fatigue failure under defects [20], [21]. In addition, according to the number of accelerated stresses, the accelerated performance degradation equation can be divided into single stress acceleration performance degradation equation and multi-stress acceleration performance degradation equation.…”

Section: The Step-stress Accelerated Performance Degradation Modelmentioning

confidence: 99%

A Reliability Analysis Method of Accelerated Performance Degradation Based on Bayesian Strategy

et al. 2019

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In order to achieve a longer life cycle, higher reliability is necessary for products. Generally, the traditional reliability analysis methods can be performed based on sufficient failure data. However, it is difficult to get such amount of failure data in practical engineering, which brings challenges to the traditional reliability analysis methods. Consequently, the traditional reliability analysis methods are not suitable for the case of no failure data or less failure data. In order to tackle the above challenges, an uncertainty analysis strategy using accelerated performance degradation information is given. While, in this method, the utilization of acceleration factor increases the number of model parameters, which lead to the loss of the accuracy of the model parameter estimation under the finite degradation data. To enhance the above strategy, a reliability analysis method of accelerated performance degradation based on Bayesian strategy is proposed in this study. The accelerated performance degradation analysis method combining historical degradation data and empirical information is introduced here. An engineering example of CNC machine tool function milling head is also used to illustrate the effectiveness of the given method.

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An enhanced genetic algorithm–based multi-objective design optimization strategy

Cited by 20 publications

References 34 publications

Simulation-based design and optimization and fatigue characteristics for high-speed backplane connector

Simulation-based design and optimization and fatigue characteristics for high-speed backplane connector

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

A Reliability Analysis Method of Accelerated Performance Degradation Based on Bayesian Strategy

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