scholarly journals Research on Integrated Simulation Design Method of Performance and Reliability for Aerospace Electromechanical Products

2021 ◽  
Vol 2093 (1) ◽  
pp. 012003
Author(s):  
Yongde Dai ◽  
Jiahui Luan ◽  
Xinggao Zhu
Keyword(s):  
Simulation Model ◽  
Response Surface ◽  
Engineering Application ◽  
Design Stage ◽  
Design Parameters ◽  
Surface Model ◽  
Sampling Point ◽  
Simulation Design ◽  
Integrated Simulation ◽  
Electromechanical Products

Abstract This paper proposes an integrated simulation method of the performance and reliability for aerospace electromechanical products, which can obtain the reliability parameters of the product through digital simulation, so as to guide the design of the product, taking into account the factors that affect the reliability in the design stage. This method is based on a multidisciplinary performance simulation model, comprehensively considers the failure mode and failure mechanism of the product. Through the method of DESIGN OF EXPERIMENT(DOE), the key design parameters and disturbance factors are combined and designed as input, the performance response surface model, the performance and reliability integrated simulation model are constructed in turn. Taking a typical aerospace electromechanical product solar wing drive mechanism as an example, the engineering application verification is carried out, and the response surface has a high matching degree with the sampling point, which can meet the engineering application.

Optimization Design of Pressure Shell in Underwater Vehicle Based on Response Surface Model

2009 ◽  
Vol 419-420 ◽  
pp. 89-92
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Zai Bai Qin
Keyword(s):  
Finite Element ◽  
Response Surface ◽  
Optimization Design ◽  
Engineering Application ◽  
Element Model ◽  
Response Surface Model ◽  
Design Stage ◽  
Surface Model ◽  
Design Variables ◽  
Structure Strength

Cylinder shell stiffened by rings is used commonly in submersibles, and structure strength should be verified in the initial design stage considering the thickness of the shell, the number of rings, the shape of ring section and so on. Based on the statistical techniques, a strategy for optimization design of pressure hull is proposed in this paper. Its central idea is that: firstly the design variables are chosen by referring criterion for structure strength, then the samples for analysis are created in the design space; secondly finite element models corresponding to the samples are built and analyzed; thirdly the approximations of these analysis are constructed using these samples and responses obtained by finite element model; finally optimization design result is obtained using response surface model. The result shows that this method that can improve the efficiency and achieve optimal intention has valuable reference information for engineering application.

Multiobjective Optimization Design of a Pump–Turbine Impeller Based on an Inverse Design Using a Combination Optimization Strategy

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Wei Yang ◽  
Ruofu Xiao
Keyword(s):  
Response Surface ◽  
Optimization Design ◽  
Design Method ◽  
Inverse Design ◽  
Design Parameters ◽  
Surface Model ◽  
Optimization Strategy ◽  
Pump Turbine ◽  
Combination Optimization ◽  
Final Design

This paper presents an automatic multiobjective hydrodynamic optimization strategy for pump–turbine impellers. In the strategy, the blade shape is parameterized based on the blade loading distribution using an inverse design method. An efficient response surface model relating the design parameters and the objective functions is obtained. Then, a multiobjective evolutionary algorithm is applied to the response surface functions to find a Pareto front for the final trade-off selection. The optimization strategy was used to redesign a scaled pump–turbine. Model tests were conducted to validate the final design and confirm the validity of the design strategy.

scholarly journals Risk-Based Multiobjective Optimal Seismic Design for RC Piers Using the Response Surface Method and NSGA-II

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Sicong Hu ◽  
Yixuan Zou ◽  
Yufeng Gai ◽  
Zheng Huang ◽  
Guquan Song
Keyword(s):  
Response Surface ◽  
Seismic Design ◽  
Seismic Risk ◽  
Design Method ◽  
Design Parameters ◽  
Surface Model ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Seismic Design Method

In this paper, a risk-based multiobjective optimal seismic design method for reinforced concrete (RC) piers is proposed. This method is used to determine the size and reinforcement ratios of piers to minimize the seismic risk of bridge systems and the construction cost of piers. The Pacific Earthquake Engineering Research- (PEER-) based probabilistic seismic risk assessment approach and the response surface method (RSM) are adopted to develop the seismic risk response surface model, which represents the relationship between the design parameters of piers and the seismic risk of bridge systems. The Pareto optimal solutions of piers are determined by applying an improved version of the nondominated sorting genetic algorithm (NSGA-II). As a case study, the proposed optimal seismic design method is applied to a continuous concrete box girder bridge. The optimal design schemes of piers according to two strategies are determined from the Pareto optimal solutions. The results show that the seismic risk response surface model can be used to accurately describe the relationship between the design parameters of piers and the seismic risk of bridge systems. The case study demonstrates the effectiveness of the proposed optimal seismic design method. The analysis of the Pareto optimal solutions allows designers to more rationally conduct the seismic design of piers.

scholarly journals Research on Key Factors and Their Interaction Effects of Electromagnetic Force of High-Speed Solenoid Valve

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Peng Liu ◽  
Liyun Fan ◽  
Qaisar Hayat ◽  
De Xu ◽  
Xiuzhen Ma ◽  
...  
Keyword(s):  
Simulation Model ◽  
Response Surface ◽  
Electromagnetic Force ◽  
High Speed ◽  
Interaction Effects ◽  
Solenoid Valve ◽  
Air Gap ◽  
Surface Model ◽  
Drive Current ◽  
Lab Experiments

Analysis consisting of numerical simulations along with lab experiments of interaction effects between key parameters on the electromagnetic force based on response surface methodology (RSM) has been also proposed to optimize the design of high-speed solenoid valve (HSV) and improve its performance. Numerical simulation model of HSV has been developed in Ansoft Maxwell environment and its accuracy has been validated through lab experiments. Effect of change of core structure, coil structure, armature structure, working air gap, and drive current on the electromagnetic force of HSV has been analyzed through simulation model and influence rules of various parameters on the electromagnetic force have been established. The response surface model of the electromagnetic force has been utilized to analyze the interaction effect between major parameters. It has been concluded that six interaction factors including working air gap with armature radius, drive current with armature thickness, coil turns with side pole radius, armature thickness with its radius, armature thickness with side pole radius, and armature radius with side pole radius have significant influence on the electromagnetic force. Optimal match values between coil turns and side pole radius; armature thickness and side pole radius; and armature radius and side pole radius have also been determined.

Resilience-based Seismic Design Optimization of typical Highway RC Bridges by Response Surface Method and NSGA-II Algorithm

2021 ◽  
Author(s):  
Sicong Hu ◽  
Baokui Chen ◽  
Guquan Song ◽  
Lianhua Wang
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Seismic Design ◽  
Nonlinear Time History Analysis ◽  
Design Parameters ◽  
Surface Model ◽  
Nsga Ii ◽  
Surface Method ◽  
Material Cost ◽  
Seismic Resilience

Abstract To maximize the seismic performance and minimize the material cost of the typical highway reinforced concrete (RC) bridges, a resilience-based multi-objective optimal seismic design method is proposed in this study. The size of elastomeric bearings and the cross-section arrangement of RC piers are chosen as the design parameters. To improve the accuracy and efficiency, the nonlinear time history analysis (NTHA) based cloud analysis approach is associated with the response surface method (RSM) to obtain the seismic resilience during the seismic optimization process. Moreover, the optimization problem is solved through an improved version of non-dominated sorting genetic algorithm (NSGA-II) algorithm. Following, the proposed method is applied to a typical highway RC bridge, and the optimal design schemes are determined from the Pareto optimal solutions. The results show that the resilience response surface model can be used to accurately predict the seismic resilience of bridges. The proposed method can adjust the damage grades of various components by considering the contribution of various components, entailing the minimization of material cost and the maximization of seismic resilience.

Development of New Multi-Dimension Squeezed Penetration Piling Machine

2004 ◽  
Vol 471-472 ◽  
pp. 255-259
Author(s):  
S.Q. Huang ◽  
Y.M. Han ◽  
Yu Dong Wang
Keyword(s):  
Simulation Model ◽  
Product Quality ◽  
Simulation Method ◽  
Design Stage ◽  
Design Parameters ◽  
Simulation Environment ◽  
Early Design ◽  
Early Design Stage ◽  
Development Cycle

The features of a newly developed multi-dimension squeezed penetration piling machine are presented in this paper. The simulation model is built and the squeezing mechanism is tested under simulation environment. With the simulation method key design parameters are predicted at the early design stage; the development cycle can be shortened; and the product quality can be improved.

scholarly journals A Consistent Procedure Using Response Surface Methodology to Identify Stiffness Properties of Connections in Machine Tools

Materials ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1220 ◽  
Author(s):  
Jesus-Maria Hernandez-Vazquez ◽  
Iker Garitaonandia ◽  
María Fernandes ◽  
Jokin Muñoa ◽  
Luis Lacalle
Keyword(s):  
Finite Element ◽  
Response Surface ◽  
Machine Tools ◽  
Computational Cost ◽  
Fractional Factorial ◽  
Dynamic Responses ◽  
Design Stage ◽  
Design Parameters ◽  
Regression Equations ◽  
Design Variables

Accurate finite element models of mechanical systems are fundamental resources to perform structural analyses at the design stage. However, uncertainties in material properties, boundary conditions, or connections give rise to discrepancies between the real and predicted dynamic characteristics. Therefore, it is necessary to improve these models in order to achieve a better fit. This paper presents a systematic three-step procedure to update the finite element (FE) models of machine tools with numerous uncertainties in connections, which integrates statistical, numerical, and experimental techniques. The first step is the gradual application of fractional factorial designs, followed by an analysis of the variance to determine the significant variables that affect each dynamic response. Then, quadratic response surface meta-models, including only significant terms, which relate the design parameters to the modal responses are obtained. Finally, the values of the updated design variables are identified using the previous regression equations and experimental modal data. This work demonstrates that the integrated procedure gives rise to FE models whose dynamic responses closely agree with the experimental measurements, despite the large number of uncertainties, and at an acceptable computational cost.

Aerodynamic Optimization of Turboprop Turbine Blades Using a Response Surface Methodology Based Algorithm

2014 ◽  
Author(s):  
Stefano Tosin ◽  
Jens Friedrichs ◽  
Johann Sperling ◽  
Dragan Kožulović
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Solution Space ◽  
Optimization Process ◽  
Iteration Step ◽  
Design Parameters ◽  
Surface Model ◽  
Test Case ◽  
Rsm Optimization ◽  
Bézier Spline

Turbomachinery blade design improvement and optimization by CFD is a time-consuming engineering challenge. Such an optimization process, which requires advanced numerical simulations, uses a large amount of computational resources to provide the required solutions. This paper presents a turbine blade optimization process which uses an algorithm based on response surface methodology (RSM) to increase the simulation speed. The main idea of RSM is to start with a lower number of sample points to generate an analytical model that describes the relationship between the pre-defined numbers of design parameters. In this study, the Kriging approximation is used to generate the surface model. The global minimum on the surface is searched by applying a gradient method. The increase in the convergence speed is achieved by using an adaptive scheme, which creates additional points around the previous minimum while reducing the solution space at each iteration step, until convergence is achieved. Each iteration step is composed of several CFD simulation runs where each point represents different designed geometries inside the n-dimensional parameter space. The process combines a Bezier-spline based airfoil-generator with a parametric meshing tool —G3DMESH— and a CFD solver —TRACE—, both developed and provided by DLR, into a MATLAB script function. A particular characteristic of this optimization method is its lower evaluation number requirement to reach convergence, as well as its capability to run multiple simultaneous RANS. The optimizer process was initially tested by using basic functions to analyze its solution behavior and its performance in comparison to a genetic algorithm (GA) type optimizer. It is observed from this comparison that RSM optimization reaches the convergence faster and more stable than the GA method applied on the test case. Preliminary optimization results show an improvement in function evaluation requirements by up to 50%, which depends on the complexity of the respective surface model of the test case. As an application, a 4-stage low pressure turbine for a turboprop engine is designed by multi-streamline analysis. 2D mid-span cross-sections from both rotor and stator are produced by the Bezier-spline based airfoil-generator. The basis tool requires input parameters as leading and trailing edge blade angles and maximum thickness position. The blade generator is further improved by the additional ability to work with high values of deviation angles between the leading and trailing edges, up to 90°. 6 control points are used to define the two curves, for pressure and suction sides, which encompass the cross-section geometry. Optimization process runs to improve these airfoil parameters. The 2D airfoils of the first stage are optimized by an objective function based on total pressure loss coefficient at the engine on-design point. The same geometry is also optimized using the GA method as a comparison case.

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