Coke Deposition Influence Based on a Run Length Simulation of a 1,2-Dichloroethane Cracker

2013 ◽  
Vol 52 (49) ◽  
pp. 17501-17516 ◽  
Author(s):  
Chaochun Li ◽  
Guihua Hu ◽  
Weimin Zhong ◽  
Wangli He ◽  
Wenli Du ◽  
...  
Keyword(s):  
Coke Deposition ◽  
Run Length

The Effect of Coil Configuration on Run Length of Thermal Cracking Reactors

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Ramin Karimzadeh ◽  
Amin Hematian ◽  
Mohammad Reza Omidkhah
Keyword(s):  
Thermal Cracking ◽  
Coke Deposition ◽  
Linear Temperature ◽  
Single Row ◽  
Run Length ◽  
Petrochemical Complex ◽  
Coil Temperature ◽  
Temperature Heat ◽  
Temperature And Pressure ◽  
Pyrolysis Coil

Various parameters such as type of feedstock, inlet and outlet coil temperature, heat flux and residence time, affect the performance of a thermal cracking reactor. The pyrolysis coil configuration is one of the most important parameters which affects the performance of the reactor.In this research the effect of four different coil configurations, namely single row, millisecond, split and reversed split have been studied on run length, product yields, outside surface temperature of coil, coke deposition as well as temperature and pressure distribution. The reactor under investigation is the thermal cracker of Abadan petrochemical complex which uses propane as feedstock. The results show that millisecond coil configuration has the highest yield of ethylene and lowest coke thickness. However, it exhibits the lowest run length and worst ratio of length to diameter conditions. On the other hand, single row coil configuration has the lowest ethylene yield and highest coke thickness but, the highest run length with the lowest pressure drop also belongs to this coil configuration. It also presents the most even distribution of pressure and a linear temperature profile across the coil length, favoring better selectivity.

Modification of activated carbon fiber pore structure by coke deposition

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-279-Pr3-286
Author(s):  
X. Dabou ◽  
P. Samaras ◽  
G. P. Sakellaropoulos
Keyword(s):  
Activated Carbon ◽  
Carbon Fiber ◽  
Pore Structure ◽  
Activated Carbon Fiber ◽  
Coke Deposition

Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

2017 ◽  
Vol 7 (7) ◽  
pp. 8
Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Size Distribution ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Ct Images ◽  
Diabetic Patients ◽  
Gray Level ◽  
Grey Level ◽  
Run Length ◽  
Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Line interpolation algorithm based on diagonal run-length

2009 ◽  
Vol 28 (9) ◽  
pp. 2270-2273
Author(s):  
Xiao-tong YE ◽  
Yun DENG
Keyword(s):  
Interpolation Algorithm ◽  
Run Length

Temperature-Programmed Methanol Conversion and Coke Deposition on Fluidized-Bed Catalyst of SAPO-34

2013 ◽  
Vol 33 (2) ◽  
pp. 367-374 ◽  
Author(s):  
Cuiyu YUAN ◽  
Yingxu WEI ◽  
Jinzhe LI ◽  
Shutao XU ◽  
Jingrun CHEN ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Methanol Conversion ◽  
Coke Deposition ◽  
Temperature Programmed

scholarly journals Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 154
Author(s):  
Anderson Fonseca ◽  
Paulo Henrique Ferreira ◽  
Diego Carvalho do Nascimento ◽  
Rosemeire Fiaccone ◽  
Christopher Ulloa-Correa ◽  
...  
Keyword(s):  
Control Chart ◽  
Average Run Length ◽  
Atacama Desert ◽  
Real Data ◽  
Interval Data ◽  
Total Quality ◽  
Statistical Process ◽  
Monte Carlo Simulation Study ◽  
Run Length ◽  
Study Results

Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of large numbers, and brings limitations towards truncated processes as open questions in this field. This work was motivated by the register of elements related to the water particles monitoring (relative humidity), an important source of moisture for the Copiapó watershed, and the Atacama region of Chile (the Atacama Desert), and presenting high asymmetry for rates and proportions data. This paper proposes a new control chart for interval data about rates and proportions (symbolic interval data) when they are not results of a Bernoulli process. The unit-Lindley distribution has many interesting properties, such as having only one parameter, from which we develop the unit-Lindley chart for both classical and symbolic data. The performance of the proposed control chart is analyzed using the average run length (ARL), median run length (MRL), and standard deviation of the run length (SDRL) metrics calculated through an extensive Monte Carlo simulation study. Results from the real data applications reveal the tool’s potential to be adopted to estimate the control limits in a Statistical Process Control (SPC) framework.

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