An integrated model for optimizing weld quality

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Description

Welding has evolved in the last few decades from almost an empirical art to an activity embodying the most advanced tools of, various basic and applied sciences. Significant progress has been made in understanding the welding process and welded materials. The improved knowledge base has been useful in automation and process control. In view of the large number of variables involved, creating an adequately large database to understand and control the welding process is expensive and time consuming, if not impractical. A recourse is to simulate welding processes through a set of mathematical equations representing the essential physical processes of ... continued below

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9 p.

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Zacharia, T.; Radhakrishnan, B.; Paul, A. J. & Cheng, C. June 1, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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Description

Welding has evolved in the last few decades from almost an empirical art to an activity embodying the most advanced tools of, various basic and applied sciences. Significant progress has been made in understanding the welding process and welded materials. The improved knowledge base has been useful in automation and process control. In view of the large number of variables involved, creating an adequately large database to understand and control the welding process is expensive and time consuming, if not impractical. A recourse is to simulate welding processes through a set of mathematical equations representing the essential physical processes of welding. Results obtained from the phenomenological models depend crucially on the quality of the physical relations in the models and the trustworthiness of input data. In this paper, recent advances in the mathematical modeling of fundamental phenomena in welds are summarized. State of the art mathematical models, advances in computational techniques, emerging high performance computers, and experimental validation techniques have provided significant insight into the fundamental factors that control the development of the weldment. Current status and scientific issues in heat and fluid flow in welds, heat source metal interaction, and solidification microstructure are assessed. Future research areas of major importance for understanding the fundamental phenomena in weld behavior are identified.

Physical Description

9 p.

Notes

OSTI as DE95013220

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  • 7. Conference on modeling of casting, welding and advanced solidification processes, London (United Kingdom), 10-15 Sep 1995

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  • Other: DE95013220
  • Report No.: CONF-9509118--6
  • Grant Number: AC05-84OR21400
  • Office of Scientific & Technical Information Report Number: 87854
  • Archival Resource Key: ark:/67531/metadc793643

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  • June 1, 1995

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

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  • Feb. 2, 2016, 3:56 p.m.

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Zacharia, T.; Radhakrishnan, B.; Paul, A. J. & Cheng, C. An integrated model for optimizing weld quality, article, June 1, 1995; Tennessee. (digital.library.unt.edu/ark:/67531/metadc793643/: accessed September 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.