Sensitivity Analysis and Optimization of Delta Wing Design Parameters using CFD-Based Response Surface Method

2019 ◽  
Vol 12 (6) ◽  
pp. 1885-1903
Author(s):  
M. Aelaei ◽  
S. Karimian ◽  
F. Ommi ◽  
◽  
◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Response Surface ◽  
Response Surface Method ◽  
Delta Wing ◽  
Design Parameters ◽  
Wing Design ◽  
Surface Method

scholarly journals Sensitivity Analysis of Reliability of Low-Mobility Parallel Mechanisms Based on a Response Surface Method

2021 ◽  
Vol 11 (19) ◽  
pp. 9002
Author(s):  
Qiang Yang ◽  
Hongkun Ma ◽  
Jiaocheng Ma ◽  
Zhili Sun ◽  
Cuiling Li
Keyword(s):  
Sensitivity Analysis ◽  
Response Surface ◽  
Response Surface Method ◽  
Inverse Kinematics ◽  
Parallel Mechanism ◽  
Error Component ◽  
Parallel Mechanisms ◽  
Kinematic Accuracy ◽  
Surface Method ◽  
Input Error

Kinematic accuracy is a crucial indicator for evaluating the performance of mechanisms. Low-mobility parallel mechanisms are examples of parallel robots that have been successfully employed in many industrial fields. Previous studies analyzing the kinematic accuracy analysis of parallel mechanisms typically ignore the randomness of each component of input error, leading to imprecise conclusions. In this paper, we use homogeneous transforms to develop the inverse kinematics models of an improved Delta parallel mechanism. Based on the inverse kinematics and the first-order Taylor approximation, a model is presented considering errors from the kinematic parameters describing the mechanism’s geometry, clearance errors associated with revolute joints and driving errors associated with actuators. The response surface method is employed to build an explicit limit state function for describing position errors of the end-effector in the combined direction. As a result, a mathematical model of kinematic reliability of the improved Delta mechanism is derived considering the randomness of every input error component. And then, reliability sensitivity of the improved Delta parallel mechanism is analyzed, and the influences of the randomness of each input error component on the kinematic reliability of the mechanism are quantitatively calculated. The kinematic reliability and proposed sensitivity analysis provide a theoretical reference for the synthesis and optimum design of parallel mechanisms for kinematic accuracy.

Forecasting and Optimization of the Viscosity of Nano-oil Containing Zinc Oxide Nanoparticles Using the Response Surface Method and Sensitivity Analysis

2020 ◽  
Vol 142 (11) ◽  
Author(s):  
Yuanzhou Zheng ◽  
Shuaiqi Wang ◽  
Annunziata D’Orazio ◽  
Arash Karimipour ◽  
Masoud Afrand
Keyword(s):  
Sensitivity Analysis ◽  
Zinc Oxide ◽  
Response Surface ◽  
Response Surface Method ◽  
Zinc Oxide Nanoparticles ◽  
Volume Fraction ◽  
Good Prediction ◽  
Surface Method ◽  
Nano Lubricant ◽  
New Generation

Abstract In the current paper, the behavior of zinc oxide/SAE50 nano lubricant as a part of the new generation of coolants and lubricants is examined using response surface method (RSM). The data used in this study were viscosity at dissimilar volume concentrations (0–1.5%) and temperatures (5–50 °C) for dissimilar shear rate values. Therefore, sensitivity analysis based on variation of nanoparticle (NP) concentration and temperature was also implemented. The findings revealed that enhancing the volume fraction (φ) exacerbates the viscosity sensitivity to temperature. Given the noteworthy deviance between the experimental viscosity and the data forecasted by existing classical viscosity correlations, a novel regression model is gained. R2 and adj-R2 for this model were calculated as 0.9966 and 0.9965, respectively, which represent a very good prediction with a standard deviation of 3%.

Sensitivity Analysis of Airdrop Condition Parameters Based on Response Surface Method

2014 ◽  
Vol 565 ◽  
pp. 92-97 ◽  
Author(s):  
Jian Yang Li ◽  
Hong Yan Wang ◽  
Qiang Rui ◽  
Huang Jie Hong
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Response Surface ◽  
Response Surface Method ◽  
Scientific Explanation ◽  
New Technology ◽  
Design And Optimization ◽  
Surface Method ◽  
Airborne Vehicle ◽  
Important Significance

The airborne vehicle would suffer from impact at landing. The magnitude of impact and stability of airborne vehicle are constraint parameters of successful landing. There was a lack of scientific explanation on the sensitivity of landing condition parameters. For overcoming the deficiency of classical sensitivity analysis, this paper describes the application of new technology for the sensitivity analysis. Based on the Finite Element and Response Surface method, the research on sensitivity analysis of landing condition parameters was proposed. The results have important significance in the design and optimization of airborne vehicle and airbags system. It can be also provide guidance for airdrop operation.

scholarly journals Optimization of Pump Hydraulic Performance Based on the Response Surface Method

2018 ◽  
Author(s):  
Shengli Xu ◽  
Shaowei Zhong ◽  
Haixin Zhao
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Computational Cost ◽  
Flow Characteristics ◽  
Internal Flow ◽  
Hydraulic Performance ◽  
Design Parameters ◽  
Meridional Plane ◽  
Hydraulic Efficiency ◽  
Surface Method

This paper studies the optimization method of pump hydraulic performance based on the response surface method. A parametric model of impeller and diffuser is established. Three-dimensional optimization is carried out on the basis of the initial model obtained by one-dimensional design method. We select the pump hydraulic efficiency and the head as objective function and constraint function. Response surface models are constructed to analyze the relationship between the objectives and the design variables, and the global optimization of hydraulic performance is realized. According to the internal flow characteristics of pump, this paper proposes the strategy of two steps optimization, which aims at meridional plane and blade shape, respectively, to solve the problem of large numbers of design parameters and computational cost. The optimization results show that the hydraulic efficiency of pump increased by 3.7%, and the head is nearly the same.

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