Initial Parameter Estimation for Inverse Thermal Analysis of Ti-6Al-4V Deep Penetration Welds

2014 ◽  
Author(s):  
Samuel G. Lambraskos ◽  
LuLu Huang ◽  
A. Shabaev
Keyword(s):  
Thermal Analysis ◽  
Parameter Estimation ◽  
Initial Parameter ◽  
Deep Penetration

An Inverse Parameter Estimation Method for Building Thermal Analysis

2016 ◽  
Vol 138 (2) ◽  
Author(s):  
A. Moftakhari ◽  
C. Aghanajafi
Keyword(s):  
Thermal Analysis ◽  
Numerical Modeling ◽  
Parameter Estimation ◽  
Estimation Method ◽  
Real Data ◽  
Thermal Parameter ◽  
Thermal Design ◽  
Inverse Algorithm ◽  
Definition Of ◽  
Building Engineering

The aim of this study is to introduce a new solution methodology for thermal parameter estimation in building engineering science. By defining a good numerical modeling, inverse algorithm provides us a chance to enhance design conditions in building thermal analysis. The definition of mathematical governing equations and a good solution method to solve them direct the analysis procedure to find temperature distribution using dynamic coding in the computational field. In fact, inverse algorithm utilizes known data resulted from numerical modeling in order to determine the unknown value of important thermal design properties in building problems. The results obtained from implementation of such algorithms demonstrate the accuracy and precision of this new thermal analysis methodology with those of real data resulted from experiments in building problems.

scholarly journals Frequency Response-Based Initial Parameter Estimation for SOC of Lithium-Ion Battery

2020 ◽  
Vol 53 (2) ◽  
pp. 12695-12700
Author(s):  
Kohei Natori ◽  
Keisuke Mizuno ◽  
Toru Namerikawa ◽  
Sabrina Sartori ◽  
Frank Eliassen
Keyword(s):  
Parameter Estimation ◽  
Frequency Response ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Initial Parameter

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination
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