CARS diagnostics of acetylene formation in a plasma test reactor for hydrocarbon synthesis

1995 ◽  
Vol 15 (1) ◽  
pp. 71-86 ◽  
Author(s):  
V. Kornas ◽  
A. Roth ◽  
H. F. Döbele ◽  
G. Proß
1991 ◽  
Vol 11 (2) ◽  
pp. 171-184 ◽  
Author(s):  
V. Kornas ◽  
V. Schulz-von der Gathen ◽  
T. Bornemann ◽  
H. F. D�bele ◽  
G. Prosz

1992 ◽  
Vol 25 (3) ◽  
pp. 207-212 ◽  
Author(s):  
F. J. Castaldi ◽  
D. L. Ford

Slurry bioremediation testing was conducted on waste sludges from petrochemical production. The study concludes that the apparent mechanism for remediation of the waste involves an initial dissolution of the waste constituents into the aqueous phase followed by actual biodegradation. The test reactor most successful in the solubilization and dispersal of waste constituents and possibly most effective in reducing waste sludge mass during treatment is the reactor with the lowest waste sludge-to-microorganism ratio.


1989 ◽  
Vol 21 (6-7) ◽  
pp. 593-602 ◽  
Author(s):  
Andrew T. Watkin ◽  
W. Wesley Eckenfelder

A technique for rapidly determining Monod and inhibition kinetic parameters in activated sludge is evaluated. The method studied is known as the fed-batch reactor technique and requires approximately three hours to complete. The technique allows for a gradual build-up of substrate in the test reactor by introducing the substrate at a feed rate greater than the maximum substrate utilization rate. Both inhibitory and non-inhibitory substrate responses are modeled using a nonlinear numerical curve-fitting technique. The responses of both glucose and 2,4-dichlorophenol (DCP) are studied using activated sludges with various acclimation histories. Statistically different inhibition constants, KI, for DCP inhibition of glucose utilization were found for the various sludges studied. The curve-fitting algorithm was verified in its ability to accurately retrieve two kinetic parameters from synthetic data generated by superimposing normally distributed random error onto the two parameter numerical solution generated by the algorithm.


2021 ◽  
Vol 287 ◽  
pp. 119925
Author(s):  
Qiyuan Wu ◽  
Anh T. To ◽  
Connor P. Nash ◽  
Daniel P. Dupuis ◽  
Frederick G. Baddour ◽  
...  

Author(s):  
Daniel M. Nichols ◽  
Michael A. Reichenberger ◽  
Andrew D. Maile ◽  
Mary R. Holtz ◽  
Douglas S. McGregor

2021 ◽  
pp. 1-7
Author(s):  
Michael A. Reichenberger ◽  
Jagoda M. Urban-Klaehn ◽  
Jason V. Brookman ◽  
Joshua L. Peterson-Droogh ◽  
Jorge Navarro ◽  
...  

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