scholarly journals Hollow Cathode Life-Time Prediction from Low Work Function Surface Coverage Evolution

2008 ◽  
Author(s):  
Michele Coletti ◽  
Stephen Gabriel
Keyword(s):  
Work Function ◽  
Hollow Cathode ◽  
Surface Coverage ◽  
Life Time ◽  
Time Prediction

Physical basis of RPV metal life time prediction

2014 ◽  
pp. 10-17
Author(s):  
S.A. Kotrechko ◽  
Keyword(s):  
Life Time ◽  
Physical Basis ◽  
Time Prediction

Work function studies of propylene, acetylene, hydrogen and nitrogen chemisorption on molybdenum

1982 ◽  
Vol 47 (11) ◽  
pp. 2996-3003
Author(s):  
Zdeněk Bastl
Keyword(s):  
Work Function ◽  
Surface Topography ◽  
Surface Coverage ◽  
Dissociative Chemisorption ◽  
Complete Coverage ◽  
Surface Sites ◽  
Function Change ◽  
Work Function Change

The work function changes of vacuum deposited molybdenum films caused by the chemisorption of propylene, acetylene, hydrogen and nitrogen were measured using the Kelvin vibrating capacitor method. During the hydrocarbon chemisorption, the work function increased in a low surface coverage region but decreased at the higher surface coverages. The saturation values of the work function changes corresponding to complete coverage of the surface by chemisorbed propylene and acetylene equal -0.08 eV and -0.42 eV, respectively. The observed dependences of the work function change on surface coverage are interpreted by the dissociative chemisorption of hydrocarbons on a limited number of surface sites which are simultaneously the sites of preferred adsorption. The extent of dissociation decreases in the adsorption with the increasing surface coverage. The results of the study of the work function changes induced by the hydrogen and nitrogen chemisorption enabled to draw several conclusions on the surface topography of the used films.

Pyrolysis kinetics of Poplar fluff bio-char produced at high carbonization temperature: A mechanistic study and isothermal life-time prediction

Fuel ◽  
2021 ◽  
Vol 296 ◽  
pp. 120637
Author(s):  
Bojan Janković ◽  
Nebojša Manić ◽  
Vladimir Dodevski
Keyword(s):  
Life Time ◽  
Carbonization Temperature ◽  
Mechanistic Study ◽  
Pyrolysis Kinetics ◽  
Time Prediction ◽  
Kinetics Of

Lifetime Distribution Estimation of Boot Seals in Automotive Applications by Bayesian Method

2006 ◽  
Vol 129 (3) ◽  
pp. 275-282 ◽  
Author(s):  
Fabrice Guerin ◽  
Ridha Hambli
Keyword(s):  
Finite Element ◽  
Bayesian Method ◽  
Life Time ◽  
Automotive Applications ◽  
Fatigue Lifetime ◽  
Time Prediction ◽  
Steering Mechanism ◽  
Market Requirements ◽  
Distribution Parameters ◽  
Lifetime Testing

The constantly increasing market requirements of high quality vehicles ask for the automotive manufacturers to perform lifetime testing to verify the reliability levels of new products. A common problem is that only a small number of examples of a component of system can be tested. In the automotive applications, mechanical components subjected to cyclic loading have to be designed against fatigue. Boot seals are used to protect velocity joint and steering mechanisms in automobiles. These flexible components must accommodate the motions associated with angulation of the steering mechanism. Some regions of the boot seal are always in contact with an internal metal shaft, while other areas come into contact with the metal shaft during angulation. In addition, the boot seal may also come into contact with itself, both internally and externally. The contacting regions affect the performance and longevity of the boot seal. In this paper, the Bayesian estimation of lognormal distribution parameters (usually used to define the fatigue lifetime of rubber components) is studied to improve the accuracy of estimation in incorporating the available knowledge on the product. In particular, the finite element results and expert belief are considered as prior knowledge. For life time prediction by finite element method, a model based on Brown–Miller law was developed for the boot seal rubber-like material.

Life-time prediction for rocks under static compressive and tensile loads: a new simulation approach

2009 ◽  
Vol 4 (1) ◽  
pp. 73-78 ◽  
Author(s):  
H. Konietzky ◽  
A. Heftenberger ◽  
M. Feige
Keyword(s):  
Life Time ◽  
Simulation Approach ◽  
Time Prediction

Damage variables for the life-time prediction of rubber components

2011 ◽  
pp. 191-196
Author(s):  
V Mehling ◽  
H Baaser ◽  
T Hans
Keyword(s):  
Life Time ◽  
Time Prediction

scholarly journals A Use Case to Implement Machine Learning for Life Time Prediction of Manufacturing Tools

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 1484-1489 ◽  
Author(s):  
Robin Oberlé ◽  
Sebastian Schorr ◽  
Li Yi ◽  
Moritz Glatt ◽  
Dirk Bähre ◽  
...  
Keyword(s):  
Machine Learning ◽  
Life Time ◽  
Use Case ◽  
Time Prediction
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