NDLI: On a General Parameterization for Inverse Analysis of Heat Deposition Processes

Content Provider	Springer Nature Link
Author	Lambrakos, S.G. Michopoulos, J.G.
Copyright Year	2007
Abstract	A general parameterization for inverse analysis of heat deposition processes using incomplete or minimal experimental data is presented. This parameterization is considered general in the sense that it can be applied, in principle, to the inverse analysis of a wide range of different types of heat deposition processes, including welding. The structure of this parameterization follows from the concepts of model and data spaces that imply the existence of an optimal parametric representation for a given class of inverse problems. Accordingly, the corresponding optimal parametric representation lies in the model space and is determined by the characteristics of the available data sets spanning the data space and the nature of the data sampling for purposes of parameter determination via appropriate optimization techniques. The elements of the proof presented here provide an elucidation of certain aspects of inverse heat-deposition analysis that are important for practical application.
Starting Page	411
Ending Page	421
Page Count	11
File Format	PDF
ISSN	10599495
Journal	Journal of Materials Engineering and Performance
Volume Number	17
Issue Number	3
e-ISSN	15441024
Language	English
Publisher	Springer US
Publisher Date	2007-08-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	aluminum joining modeling processes stainless steels welding Engineering Design Quality Control, Reliability, Safety and Risk Tribology, Corrosion and Coatings Materials Science Characterization and Evaluation of Materials
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Materials Science Mechanical Engineering

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