TY - JOUR
T1 - Comparison of fatigue strengths of bulk metallic glasses produced by tilt casting and high-pressure casting
AU - Yokoyama, Yoshihiko
AU - Harlow, D. Gary
AU - Liaw, Peter K.
AU - Inoue, Akihisa
N1 - Funding Information:
This research was funded, in part, by the New Energy and Industrial Technology Development Organization (NEDO), Kawasaki City, Japan. PKL very much appreciates the support by the United States National Science Foundation (NSF), the Combined Research-Curriculum Development (CRCD) Program, under EEC-9527527 and EEC-0203415, the Integrative Graduate Education and Research Training (IGERT) Program, under DGE-9987548, the International Materials Institutes (IMI) Program, under DMR-0231320, the Major Research Instrumentation (MRI) Program, under DMR-0421219, the Division of Civil, Mechanical, Manufacture, and Innovation Program, under CMMI-0900271, and the Materials World Network Program, under DMR-00909037, with Ms. M. Poats, and Drs. C.V. Hartesveldt, D. Dutta, P.W. Jennings, L.S. Goldberg, L. Clesceri, C. Huber, C.E. Bouldin, Dr. C.V. Cooper, Dr. D. Finotello, and Dr. A. Ardell as contract monitors.
Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/7
Y1 - 2010/7
N2 - High fatigue strength is one of the important factors that facilitates the industrial usage of bulk metallic glasses (BMGs). Fatigue data were analyzed using the Weibull probability models for BMGs produced with different casting processes in order to study the reliability of fatigue strengths of cast glassy alloys. The fatigue data of tilt-cast and high-pressure-cast BMGs can be explained by a three-parameter Weibull cumulative distribution function (cdf) and a mixture model of two-parameter Weibull cdfs, respectively. We conclude that the cast defects, which reduce fatigue strength, should be eliminated in order to realize a high reliability of fatigue strengths.
AB - High fatigue strength is one of the important factors that facilitates the industrial usage of bulk metallic glasses (BMGs). Fatigue data were analyzed using the Weibull probability models for BMGs produced with different casting processes in order to study the reliability of fatigue strengths of cast glassy alloys. The fatigue data of tilt-cast and high-pressure-cast BMGs can be explained by a three-parameter Weibull cumulative distribution function (cdf) and a mixture model of two-parameter Weibull cdfs, respectively. We conclude that the cast defects, which reduce fatigue strength, should be eliminated in order to realize a high reliability of fatigue strengths.
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U2 - 10.1007/s11661-010-0218-2
DO - 10.1007/s11661-010-0218-2
M3 - Article
AN - SCOPUS:77955773800
VL - 41
SP - 1780
EP - 1786
JO - Metallurgical Transactions A (Physical Metallurgy and Materials Science)
JF - Metallurgical Transactions A (Physical Metallurgy and Materials Science)
SN - 1073-5623
IS - 7
ER -