Crude Furnace Creep Assessment and High Temperature Degradation

Author(s):  
Gary Y. H. Lee ◽  
Ohgeon Kwon ◽  
Zuwairi Ramli ◽  
Zaki Mohamad Afifi

Creep calculations indicate a crude furnace radiant section carbon steel tubes exceeding their life fraction due to flame impingement reaching up to 700°C for a year. The ambiguity of the temperature and material data means the life fraction of creep calculations were based on limited inspection data and infra-red scanning giving a conservative indication of end of life. Due to unavailable tubes in stock, a planned pit stop cannot be arranged due to economic and safety reasons as the furnace may not be started back up safely. To safeguard the integrity of the furnace until the planned outage, the temperature on the furnace tube was stabilized to a current limit of 540°C through improvements in burner operations. The crude diet was also maintained within the crude acceptance envelope. Visual checks at every shift were done to ensure no observation from tube bulging or uneven flame pattern. A decision tree was created to facilitate quick decision making using a go/no go criteria of which tubes to replace during the August 2015 planned turnaround. The criteria set for the decision tree required tube wall thickness, surface hardness test, tube outer diameter ring gauge to be examined. Failing any of the criteria will require the tube to be replaced. The replaced tubes (one worst and one representative) will also be lab tested through destructive examination to identify the degradation mechanism and high temperature properties of the worst tubes to quantitatively define the high temperature properties and life fraction of the tubes that are left in the furnace. The lab test will provide results after a year of creep testing and can give assurance of continued furnace operation for 4 more years until the next outage. The final decision after the examination based on the decision tree was made required 17 tubes to be replaced in this turnaround. The worst degraded tubes were found to be at the vicinity of the initial observed location around the flame impingement zone.

Alloy Digest ◽  
2013 ◽  
Vol 62 (5) ◽  

Abstract Centralloy G4879 Micro is a cast nickel alloy with very good high-temperature properties. The alloy has carbides in a uniform dispersion that impede dislocation movement. This datasheet provides information on composition, physical properties, elasticity, and tensile properties. It also includes information on casting, machining, and joining. Filing Code: Ni-708. Producer or source: Schmidt & Clemens Inc..


2000 ◽  
Vol 282 (1-2) ◽  
pp. 109-114 ◽  
Author(s):  
Robert P. Jensen ◽  
William E. Luecke ◽  
Nitin P. Padture ◽  
Sheldon M. Wiederhorn

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 126-127
Author(s):  
Lucas S Lopes ◽  
Christine F Baes ◽  
Dan Tulpan ◽  
Luis Artur Loyola Chardulo ◽  
Otavio Machado Neto ◽  
...  

Abstract The aim of this project is to compare some of the state-of-the-art machine learning algorithms on the classification of steers finished in feedlots based on performance, carcass and meat quality traits. The precise classification of animals allows for fast, real-time decision making in animal food industry, such as culling or retention of herd animals. Beef production presents high variability in its numerous carcass and beef quality traits. Machine learning algorithms and software provide an opportunity to evaluate the interactions between traits to better classify animals. Four different treatment levels of wet distiller’s grain were applied to 97 Angus-Nellore animals and used as features for the classification problem. The C4.5 decision tree, Naïve Bayes (NB), Random Forest (RF) and Multilayer Perceptron (MLP) Artificial Neural Network algorithms were used to predict and classify the animals based on recorded traits measurements, which include initial and final weights, sheer force and meat color. The top performing classifier was the C4.5 decision tree algorithm with a classification accuracy of 96.90%, while the RF, the MLP and NB classifiers had accuracies of 55.67%, 39.17% and 29.89% respectively. We observed that the final decision tree model constructed with C4.5 selected only the dry matter intake (DMI) feature as a differentiator. When DMI was removed, no other feature or combination of features was sufficiently strong to provide good prediction accuracies for any of the classifiers. We plan to investigate in a follow-up study on a significantly larger sample size, the reasons behind DMI being a more relevant parameter than the other measurements.


2014 ◽  
Vol 488-489 ◽  
pp. 316-321 ◽  
Author(s):  
Jie Ji ◽  
Yong Shang Zhao ◽  
Shi Fa Xu

This paper studies the properties of the blends composed of DCLR (direct coal liquefaction residue) and asphalt using two different processing methods, compares the regulation that the DCLR additive content and processing method take influence on the high-temperature properties, low-temperature properties and durability of the blends. It is found that the DCLR can improve the high-temperature properties of asphalt but degrade its low-temperature properties. The properties of blends composed of DCLR, asphalt and furfural extract oil are tested and analyzed by adding a certain amount of furfural extract oil into it, which shows that adding DCLR can improve the high-temperature properties of asphalt and reduce its low-temperature properties but can hardly cause any impact on the properties of the blends. In addition, the processing method has a direct influence on the properties of blends.


2021 ◽  
Vol 571 ◽  
pp. 121066
Author(s):  
Jian Zhang ◽  
Cui Wang ◽  
Kexin Jiao ◽  
Jianliang Zhang ◽  
Zhengjian Liu ◽  
...  

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