Design Parameter Optimization Approach of LCD Hinge Bracket with Numerical Analysis for Mobile Notebook

2014 ◽  
Vol 134 (1) ◽  
pp. 13-17
Author(s):  
Tohru Nakanishi
Keyword(s):  
Numerical Analysis ◽  
Parameter Optimization ◽  
Design Parameter ◽  
Optimization Approach

scholarly journals A split-optimization approach for obtaining multiple solutions in single-objective process parameter optimization

SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Manik Rajora ◽  
Pan Zou ◽  
Yao Guang Yang ◽  
Zhi Wen Fan ◽  
Hung Yi Chen ◽  
...  
Keyword(s):  
Parameter Optimization ◽  
Multiple Solutions ◽  
Process Parameter ◽  
Optimization Approach ◽  
Process Parameter Optimization ◽  
Single Objective

Parameter Optimization Approach to Estimation of E max Under Cardiac Assistance

1998 ◽  
pp. 378-381
Author(s):  
Makoto Yoshizawa ◽  
Shozo Iemura ◽  
Akira Tanaka ◽  
Ken-ichi Abe ◽  
Hiroshi Takeda ◽  
...  
Keyword(s):  
Parameter Optimization ◽  
Optimization Approach ◽  
Cardiac Assistance

A Parameter Optimization Approach to the Design of Reliable Robust Decentralized Regulators

1983 ◽  
Vol 16 (12) ◽  
pp. 151-156
Author(s):  
A. Locatelli ◽  
F. Romeo ◽  
R. Scattolini ◽  
N. Schiavoni
Keyword(s):  
Parameter Optimization ◽  
Optimization Approach

Design Parameter Optimization for Perpendicular Magnetic Recording Systems

2006 ◽  
Vol 42 (10) ◽  
pp. 2549-2554 ◽  
Author(s):  
P. Chaichanavong ◽  
H.N. Bertram ◽  
P.H. Siegel
Keyword(s):  
Parameter Optimization ◽  
Magnetic Recording ◽  
Design Parameter ◽  
Perpendicular Magnetic Recording

Research of Revised Thermal Design Parameter Optimization With Response Surface Method Application for Fitness Function

2004 ◽  
Author(s):  
Tohru Nakanishi ◽  
Keishi Okamoto ◽  
Koji Koyamada ◽  
Hidetoshi Kotera
Keyword(s):  
Numerical Analysis ◽  
Response Surface ◽  
Response Surface Method ◽  
Parameter Optimization ◽  
Temperature Difference ◽  
Fitness Function ◽  
Thermal Design ◽  
Compact Modeling ◽  
View Point ◽  
Surface Method

For the thermal management of the electric products, the compact modeling method is commonly applied to the numerical analysis with the simplification of the each component used in the products, on the view point of the best thermal design. In the generation of the compact modeling, the method that the model parameters are optimized toward to the fitness between the temperature value of numerical analysis result and the actual hardware testing data, is conventionally used, with some monitored points which are given in advance. In this parameter optimization, the fitness function is to be 1 on the no (0) temperature difference between them at all monitored locations, and on the other hand, that is to be 0 if the temperature difference between them is infinite. However, it was found that this conventional method brought the fitness function shape of one sharp mountain, as the analysis result, and the method, that represented the fitness function with the quadratic polynomial, caused the important problem on the view point of the analysis quality if the Response Surface Method is used of the parameter optimization. Therefore in this research to resolve this problem, we suggest the method that the response surfaces, which are based on the heat conduction law, are composed for each monitored location, and the fitness function is given with these surfaces. This method is applied into some compact modeling and the benefit is verified. The meanwhile of the temperature difference between the numerical analysis result and the solution field is decreased half, and the divergence makes one-tenth decrease.

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