Tundish Process Performance Parameters and Their Direct Estimation from a New, Plant Measurement-Based Formalism

2020 ◽  
Author(s):  
Dipak Mazumdar
Keyword(s):  
Process Performance ◽  
Performance Parameters ◽  
Direct Estimation

scholarly journals Manipulation of the ATP pool as a tool for metabolic engineering

2015 ◽  
Vol 43 (6) ◽  
pp. 1140-1145 ◽  
Author(s):  
Oliver Hädicke ◽  
Steffen Klamt
Keyword(s):  
Metabolic Engineering ◽  
Product Yield ◽  
Volumetric Productivity ◽  
Special Focus ◽  
Process Performance ◽  
Performance Parameters ◽  
Cofactor Engineering ◽  
Atp Pool ◽  
Fine Tune

Cofactor engineering has been long identified as a valuable tool for metabolic engineering. Besides interventions targeting the pools of redox cofactors, many studies addressed the adenosine pools of microorganisms. In this mini-review, we discuss interventions that manipulate the availability of ATP with a special focus on ATP wasting strategies. We discuss the importance to fine-tune the ATP yield along a production pathway to balance process performance parameters like product yield and volumetric productivity.

Monitoring of biofilm reactors using natural fluorescence fingerprints

2003 ◽  
Vol 47 (5) ◽  
pp. 161-167 ◽  
Author(s):  
G. Wolf ◽  
J.S. Almeida ◽  
J.G. Crespo ◽  
M.A.M. Reis
Keyword(s):  
Membrane Bioreactor ◽  
Process Performance ◽  
Performance Parameters ◽  
Biofilm Reactors ◽  
Non Invasive ◽  
On Line ◽  
Natural Fluorescence ◽  
Pattern Recognition Approach ◽  
Biofilm Process

Natural fluorescence as a method to monitor biofilm processes was studied, using the example of an extractive membrane bioreactor for the degradation of 3-chloro-4 methylaniline and 1,2-dichloroethane. Non-invasive, on-line, in-situ 2D fluorometry monitoring was employed to elicit biofilm process status. The fluorescence fingerprints were deconvoluted in a pattern recognition approach using artificial neural networks (ANN) through association with key process performance parameters.

Research of Automatic Multi-Function Flat Tea Frying Machine and Process Performance Parameters

2012 ◽  
Vol 479-481 ◽  
pp. 2595-2599
Author(s):  
Wei Xiao ◽  
Zhou Guang Pan
Keyword(s):  
Expert Assessment ◽  
Process Performance ◽  
Performance Parameters ◽  
Frying Temperature ◽  
Test Analysis ◽  
Frying Process ◽  
Tea Quality ◽  
Machine Structure ◽  
Better Than

Automatic multi-function flat frying machine set crank up the tea, science articles, squash, Hui dry in a multi-functional machine structure, staffing fried tea mimic the mechanism of continuous complete Na, friction, pressure, shaking, turning, etc. frying action, the use of computer systems in the process of tea frying temperature, pressure, dry speed process monitoring; through the frying process performance parameters of the test analysis showed that: the automatic multi-function flat frying machine frying tea tea quality of tea samples close to hand-frying, frying by the expert assessment of mechanical parameters were better than some of the tea hand-frying, with the promotional value.

Solar Thermal Electrolytic Process for the Production of Zn From ZnO: An Ionic Conductivity Study

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
L. Venstrom ◽  
K. Krueger ◽  
N. Leonard ◽  
B. Tomlinson ◽  
S. Duncan ◽  
...  
Keyword(s):  
Ionic Conductivities ◽  
Solar Thermal ◽  
Chemical System ◽  
Process Performance ◽  
Performance Parameters ◽  
Solar Thermal Energy ◽  
Metal Production ◽  
Electrolytic Process ◽  
Calcium Cations ◽  
Current Densities

The ionic conductivities of mixtures of ZnO in Na3AlF6 and in xCaF2–yNa3AlF6 mixtures were established with a swept-sine measurement technique. A millivolt sinusoidal voltage at frequencies from 1000 Hz to 25,000 Hz was impressed on a system containing the electrolytes. The system’s frequency response was used to establish the conductivities. The influence of these conductivities on the potential of a solar thermal electrolytic process was evaluated using two process performance parameters: the back-work ratio and the fraction of minimum solar thermal energy required to drive the metal production reaction. We found the conductivity of mixtures of ZnO–Na3AlF6 to be independent of the concentration of ZnO for weight percentages of ZnO from 0.5% to 5%. For temperatures 1240–1325 K the conductivity is close to that of pure Na3AlF6, 3±0.5 Ω−1 cm−1. At temperatures from 1350 K to 1425 K it jumps to 6±0.5 Ω−1 cm−1 When CaF2 is added to the mixture, the electrolyte’s conductivity drops. We thus expect that calcium cations are not present to any important extent in the electrolyte. When CaF2 is part of the chemical system, the concentration of ZnO can have a measurable impact on the electrolyte’s conductivity. Combining the conductivity results with the two solar process performance parameters illustrates the importance of operating the solar process at low current densities when the temperature range is 1200–1500 K. The results further suggest that one should consider studying the electrolytic process at 1800 K.

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