Data-driven machine learning approach for predicting dwell fatigue life in two classes of Titanium alloys
Author:
Funder
The Boeing Company
Publisher
Elsevier BV
Reference85 articles.
1. Perspectives on titanium science and technology;Banerjee;Acta Mater,2013
2. Titanium;Lütjering,2007
3. A review of dwell sensitive fatigue in titanium alloys: the role of microstructure, texture and operating conditions;Bache;Int J Fatigue,2003
4. The magic of a name, the Rolls-Royce story, Part 2;Pugh,2001
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