Artificial neural network modeling studies to predict the friction welding process parameters of Incoloy 800H joints-Reference-Cited by-同舟云学术

Artificial neural network modeling studies to predict the friction welding process parameters of Incoloy 800H joints

Published:2015-09 Issue:3 Volume:18 Page:394-407
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Anand K.,Barik Birendra Kumar,Tamilmannan K.,Sathiya P.

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference23 articles.

1. The crack growth behavior of Incoloy 800H under fatigue and dwell-fatigue conditions at elevated temperature;Kim;J. Mech. Sci. Technol.,2012

2. Microstructure and mechanical properties of friction welded alloy 718;Damodaram;Mater. Sci. Eng. A,2013

3. A. Ambroziak, Investigations of the Friction Welding of Incoloy MA 956 Alloy, Archives of Civil and Mechanical Engineering, Wrocław University of Technology, Poland.

4. Inertia friction welding dissimilar nickel-based superalloys alloy 720Li to IN718;Huang;Metall. Mater. Trans. A,2007

5. Microstructural and mechanical properties of friction-stir-welded and post-heat-treated Inconel 718 alloy;Song;J. Alloys Compd.,2010

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