Sensitivity analysis of critical parameters affecting the efficacy of microwave ablation using Taguchi method

2018 ◽  
Vol 29 (4) ◽  
pp. e21581 ◽  
Author(s):  
Sundeep Singh ◽  
Ramjee Repaka ◽  
Ahmed Al-Jumaily
Keyword(s):  
Sensitivity Analysis ◽  
Taguchi Method ◽  
Microwave Ablation ◽  
Critical Parameters

Sensitivity analysis and optimisation of suspension bushing using Taguchi method and grey relational analysis

2018 ◽  
Vol 57 (6) ◽  
pp. 855-873 ◽  
Author(s):  
Sadegh Yarmohammadisatri ◽  
Mohammad Hasan Shojaeefard ◽  
Abolfazl Khalkhali ◽  
Soheil Goodarzian
Keyword(s):  
Sensitivity Analysis ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Relational Analysis ◽  
Grey Relational

Awarding Health: Contracts at the National Institutes of a Sensitivity Analysis of the Critical Parameters

1994 ◽  
Vol 1 (2) ◽  
pp. 117-124
Author(s):  
R. Craig Stotts ◽  
Larry G. Kessler ◽  
John C. Hershey ◽  
Nicholas G. Hall ◽  
Jessie G. Gruman
Keyword(s):  
Sensitivity Analysis ◽  
Critical Parameters

scholarly journals Sensitivity analysis of critical parameters in board test

1996 ◽  
Vol 13 (1) ◽  
pp. 58-63 ◽  
Author(s):  
M.M.V. Tegethoff ◽  
T.W. Chen
Keyword(s):  
Sensitivity Analysis ◽  
Critical Parameters ◽  
Board Test

Optimization of Laser Peening Parameters Using Taguchi Method

2007 ◽  
Vol 10-12 ◽  
pp. 692-696 ◽  
Author(s):  
Yue Qing Sun ◽  
Jian Zhong Zhou ◽  
Yi Bin Chen ◽  
Shu Huang
Keyword(s):  
Residual Stress ◽  
Taguchi Method ◽  
Compressive Stress ◽  
Compressive Residual Stress ◽  
Residual Compressive Stress ◽  
Critical Parameters ◽  
Laser Peening ◽  
The Finite Element Method ◽  
Optimal Setting ◽  
The Impact

Using Taguchi method to optimize the critical parameters of laser peening (LP) is presented firstly. The objective of the study is to assess the impact of laser parameters on the laser peen strengthening for the 6061-T6 aluminum alloy and optimize the process parameters to achieve higher surface residual compressive stress. In order to reduce the process cost and time, the finite element method was applied to simulate the LP process. The Taguchi method is used to formulate the experimental layout and establish the order of predominance among the identified critical parameters, and predict the optimal setting for each process parameter. The results show that three parameters related to the magnitude of compressive residual stress imply different effects. Laser shot diameter ranks first, followed by pulse width and laser power in terms of their effects on the magnitude of compressive residual stress. The best combination of levels is given by the levels (3, 3, 2). The optimal result was confirmed with a superior ultimate surface residual compressive stress of 125MP.

Systematic Parameter Estimation and Sensitivity Analysis Using a Multidimensional PEMFC Model Coupled With DAKOTA

2010 ◽  
Author(s):  
Brian Carnes ◽  
Ken S. Chen ◽  
Fangming Jiang ◽  
Gang Luo ◽  
Chao-Yang Wang
Keyword(s):  
Sensitivity Analysis ◽  
Parameter Estimation ◽  
Proton Exchange Membrane ◽  
Computational Models ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Critical Parameters ◽  
Model Parameters ◽  
Two Phase ◽  
Manual Adjustment

Current computational models for proton exchange membrane fuel cells (PEMFCs) include a large number of parameters such as boundary conditions, material properties, and numerous parameters used in sub-models for membrane transport, two-phase flow and electrochemistry. In order to successfully use a computational PEMFC model in design and optimization, it is important to identify critical parameters under a wide variety of operating conditions, such as relative humidity, current load, temperature, etc. Moreover, when experimental data is available in the form of polarization curves or local distribution of current and reactant/product species (e.g., O2, H2O concentrations), critical parameters can be estimated in order to enable the model to better fit the data. Sensitivity analysis and parameter estimation are typically performed using manual adjustment of parameters, which is also common in parameter studies. We present work to demonstrate a systematic approach based on using a widely available toolkit developed at Sandia called DAKOTA that supports many kinds of design studies, such as sensitivity analysis as well as optimization and uncertainty quantification. In the present work, we couple a multidimensional PEMFC model (which is being developed, tested and later validated in a joint effort by a team from Penn State Univ. and Sandia National Laboratories) with DAKOTA through the mapping of model parameters to system responses. Using this interface, we demonstrate the efficiency of performing simple parameter studies as well as identifying critical parameters using sensitivity analysis. Finally, we show examples of optimization and parameter estimation using the automated capability in DAKOTA.

Simulation of Compound Bulging Process for T-Branch Tubes Using Rubber Medium

2011 ◽  
Vol 228-229 ◽  
pp. 88-95
Author(s):  
Zhi Zhong Chen ◽  
Bin Liu
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Taguchi Method ◽  
Element Model ◽  
Normalization Method ◽  
Loading Path ◽  
Thickness Variation ◽  
Optimum Process ◽  
Evaluation Function ◽  
Tubular Blank

To determine the optimum process parameters and loading paths for T-branch tube compound bulging using rubber medium, a finite element model was established at the software platform of ANSYS/LS-DYNA. Tubular blank parameters were optimized while the affections of blank parameters and frictions in bulging process were analyzed, during which Taguchi method, sensitivity analysis and normalization method were adopted and an evaluation function is inducted. The Taguchi method was used to establish a design of simulation schemes, and numerical simulations were carried; a sensitivity analysis was carried out with analysis of variances to seek the significance of parameters; the evaluation function was inducted to synthetically evaluate the affections of the thickness variation and the branch height and normalization method are applied to ensure equality of two sets of data in the evaluation function. Then the execution method and loading path of counter force for compound bulging process were designed and an ideal T-branch tube was gained at last.

scholarly journals An EOQ model for deteriorating items under supplier credits when demand is stock dependent

2010 ◽  
Vol 20 (1) ◽  
pp. 145-156
Author(s):  
Nita Shah ◽  
Poonam Mishra
Keyword(s):  
Sensitivity Analysis ◽  
Optimal Solution ◽  
Deteriorating Items ◽  
Critical Parameters ◽  
Eoq Model ◽  
Constant Rate ◽  
Cash Discount

In many circumstances retailer is not able to settle the account as soon as items are received. In that scenario supplier can offer two promotional schemes namely cash discount and /or a permissible delay to the customer. In this study, an EOQ model is developed when units in inventory deteriorate at a constant rate and demand is stock dependent. The salvage value is associated to deteriorated units. An algorithm is given to find the optimal solution. The sensitivity analysis is carried out to analyze the effect of critical parameters on optimal solution.

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