Design of Front Subframe Fixture Based on System Identification and Fatigue Life Calculation of Front Subframe

2020 ◽  
pp. 29-44
Author(s):  
Peng Tang ◽  
Lingshan Jiang ◽  
Jianhong Huo ◽  
Ying Zhang ◽  
Xiang Qi ◽  
...  
Keyword(s):  
Fatigue Life ◽  
System Identification

A Community Based High Risk Register for Hearing Loss

1982 ◽  
Vol 47 (4) ◽  
pp. 373-375 ◽  
Author(s):  
James L. Fitch ◽  
Thomas F. Williams ◽  
Josephine E. Etienne
Keyword(s):  
Hearing Loss ◽  
System Identification ◽  
High Risk ◽  
Language Learning ◽  
Education Program ◽  
Communication System ◽  
Auditory Signal ◽  
Early Age ◽  
Community Based ◽  
Children With Hearing Loss

The critical need to identify children with hearing loss and provide treatment at the earliest possible age has become increasingly apparent in recent years (Northern & Downs, 1978). Reduction of the auditory signal during the critical language-learning period can severely limit the child's potential for developing a complete, effective communication system. Identification and treatment of children having handicapping conditions at an early age has gained impetus through the Handicapped Children's Early Education Program (HCEEP) projects funded by the Bureau of Education for the Handicapped (BEH).

Fatigue Life of Superelastic Springs for an Anterior Cruciate Ligament Prosthesis

1995 ◽  
Vol 05 (C8) ◽  
pp. C8-1223-C8-1228
Author(s):  
N. Hagemeister ◽  
L'H. Yahia ◽  
E. Weynant ◽  
T. Lours
Keyword(s):  
Anterior Cruciate Ligament ◽  
Fatigue Life ◽  
Cruciate Ligament ◽  
Anterior Cruciate ◽  
Ligament Prosthesis

Modification of MnS inclusion by tellurium in 38MnVS6 micro-alloyed steel

2020 ◽  
Vol 117 (6) ◽  
pp. 615
Author(s):  
Ping Shen ◽  
Lei Zhou ◽  
Qiankun Yang ◽  
Zhiqi Zeng ◽  
Kenan Ai ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Aspect Ratio ◽  
Strong Influence ◽  
Experimental Results ◽  
Alloyed Steel ◽  
Equivalent Diameter ◽  
Small Aspect Ratio ◽  
Steel Quality ◽  
Eds Analysis ◽  
Micro Alloyed Steel

In 38MnVS6 steel, the morphology of sulfide inclusion has a strong influence on the fatigue life and machinability of the steel. In most cases, the MnS inclusions show strip morphology after rolling, which significantly affects the steel quality. Usually, the MnS inclusion with a spherical morphology is the best morphology for the steel quality. In the present work, tellurium was applied to 38MnVS6 micro-alloyed steel to control the MnS inclusion. Trace tellurium was added into 38MnVS6 steel and the effect of Te on the morphology, composition, size and distribution of MnS inclusions were investigated. Experimental results show that with the increase of Te content, the equivalent diameter and the aspect ratio of inclusion decrease strikingly, and the number of inclusions with small aspect ratio increases. The inclusions are dissociated and spherized. The SEM-EDS analysis indicates that the trace Te mainly dissolves in MnS inclusion. Once the MnS is saturated with Te, MnTe starts to generate and wraps MnS. The critical Te/S value for the formation of MnTe in the 38MnV6 steel is determined to be approximately 0.075. With the increase of Te/S ratio, the aspect ratio of MnS inclusion decreases and gradually reaches a constant level. The Te/S value in the 38MnVS6 steel corresponding to the change of aspect ratio from decreasing to constant ranges from 0.096 to 0.255. This is most likely to be caused by the saturation of Te in the MnS inclusion. After adding Te in the steel, rod-like MnS inclusion is modified to small inclusion and the smaller the MnS inclusion, the lower the aspect ratio.

Method of Calculating the Fatigue Life of Bearings Taking into Account Wearing of Rolling Elements

2020 ◽  
Vol 41 (4) ◽  
pp. 491-497
Author(s):  
V. B. Balyakin ◽  
◽  
E.P Zhilnikov ◽  
K. K Pilla ◽  
◽  
...  
Keyword(s):  
Fatigue Life ◽  
Rolling Elements

A Multiscale Design System for Fatigue Life Prediction

2007 ◽  
Vol 5 (6) ◽  
pp. 435-446 ◽  
Author(s):  
E. Gal ◽  
Z. Yuan ◽  
W. Wu ◽  
Jacob Fish
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Design System
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