scholarly journals Mechanistic Insights of Dissolution and Mechanical Breakdown of FeCO3 Corrosion Films

2021 ◽  
Vol 13 (4) ◽  
pp. 5741-5751
Author(s):  
Adriana Matamoros-Veloza ◽  
Richard Barker ◽  
Silvia Vargas ◽  
Anne Neville
Keyword(s):  
1956 ◽  
Vol 27 (8) ◽  
pp. 862-866 ◽  
Author(s):  
Bernard D. Coleman

1986 ◽  
Vol 26 (3) ◽  
pp. 213-221 ◽  
Author(s):  
Francesco Di Quarto ◽  
Salvatore Piazza ◽  
Carmelo Sunseri

2015 ◽  
Author(s):  
Chilukuri Maheshwar

In February 2013, in the 2005 built 15500 TEU 397m long container ship EMMA MÆRSK a severe leakage occurred in as it was passing southbound through the Suez Canal. The leakage occurred due to mechanical breakdown of a stern thruster causing flooding of the shaft tunnel and filling up the engine room with 14000 m³ of seawater within a span of two hours, submerging the main engine cylinder heads-level equal to the outside water draft of 15.1 m. The cost of repairs and loss of revenue for six months amounted to a few million dollars. This paper highlights some of the lessons learned from this incident.


1994 ◽  
Vol 49 (2) ◽  
pp. R994-R996 ◽  
Author(s):  
E. Louis ◽  
F. Guinea
Keyword(s):  

1961 ◽  
Vol 16 (3) ◽  
pp. 459-462 ◽  
Author(s):  
C. C. Hsiao ◽  
J. E. Osborn ◽  
D. B. Rozendal

Author(s):  
Bin Zhou ◽  
Kumar Bhimavarapu

Industry has been implementing condition monitoring for turbines to minimize losses and to improve productivity. Deficient conditions can be identified before losses occur by monitoring the equipment parameters. For any loss scenario, the effectiveness of monitoring depends on the stage of the loss scenario when the deficient condition is detected. A scenario-based semi-empirical methodology was developed to assess various types of condition monitoring techniques, by considering their effect on the risk associated with mechanical breakdown of steam turbines in the forest products (FP) industry. A list of typical turbine loss scenarios was first generated by reviewing loss data and leveraging expert domain knowledge. Subsequently, condition monitoring techniques that can mitigate the risk associated with each loss scenario were identified. For each loss scenario, an event tree analysis was used to quantitatively assess the variations in the outcomes due to condition monitoring, and resultant changes in the risk associated with turbine mechanical breakdown. An application was developed following the methodology to evaluate the effect of condition monitoring on turbine risk mitigation.


Sign in / Sign up

Export Citation Format

Share Document