Creep Behaviour and Stress Analysis of a Seventeen-Year Service-Exposed Primary Super Heater Tube in a Thermal Power Plant

2008 ◽  
Vol 47 (4) ◽  
pp. 469-478
Author(s):  
A.K. Ray ◽  
K. Diwakar ◽  
N. Roy ◽  
H.K. Das ◽  
J.K. Sahu ◽  
...  
Author(s):  
D. Ghosh ◽  
S. Ray ◽  
A. Mandal ◽  
H. Roy

AbstractThis paper highlights a case study of typical premature failure of a radiant platen superheater tube of 210 MW thermal power plant boiler. Visual examination, dimensional measurement and chemical analysis, are conducted as part of the investigations. Apart from these, metallographic analysis and fractography are also conducted to ascertain the probable cause of failure. Finally it has been concluded that the premature failure of the super heater tube can be attributed to localized creep at high temperature. The corrective actions has also been suggested to avoid this type of failure in near future.


2008 ◽  
Vol 27 (2) ◽  
Author(s):  
Ashok Kumar Ray ◽  
Kumar Diwakar ◽  
Jitendra Kumar Sahu ◽  
Hemant Kumar Das ◽  
Nilima Roy ◽  
...  

Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan

AbstractMajority of the power plants in the world is based on coal. Pulverized coal is used to generate pressurized steam to drive turbines where-by chemical energy is converted to electrical energy. Modeling of the steam generator in thermal power plant plays a major role as it comprises of interactive units like economizer, drum and super-heater. Experiments across different units of the power plant are carried out to build correlations between input and output. Main objective of the work is to compare performances arising out by considering the system-model as three individual units or as one integrated boiler unit. In order to do this, multiple regression equations are derived based on quadratic models. The dependability of the pressure and temperature on the other variables are analyzed using the statistical analysis tool and validation of the derived model with the plant data is performed. Significance of regressions were evaluated based on ANOVA which in combination with standardized residuals distribution and their means for confidence levels of 95 and 99 %, helped in validating the model. Operating parameters are optimized using RSM supported by design of experiments with Box-Behnken design. These models will be helpful in understanding and designing the safe operation and control of thermal power plants.


ENERGYO ◽  
2018 ◽  
Author(s):  
Ashok Kumar Ray ◽  
Kumar Diwakar ◽  
Jitendra Kumar Sahu ◽  
Hemant Kumar Das ◽  
Nilima Roy ◽  
...  

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