Optimization of process parameters for ethanol production from sugar cane molasses by Zymomonas mobilis using response surface methodology and genetic algorithm

2011 ◽  
Vol 90 (1) ◽  
pp. 385-395 ◽  
Author(s):  
Bodhisatta Maiti ◽  
Ankita Rathore ◽  
Saurav Srivastava ◽  
Mitali Shekhawat ◽  
Pradeep Srivastava
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Ethanol Production ◽  
Response Surface ◽  
Process Parameters ◽  
Sugar Cane ◽  
Zymomonas Mobilis ◽  
Cane Molasses ◽  
Optimization Of Process Parameters

Process optimization of rolling for zincked sheet technology using response surface methodology and genetic algorithm

2017 ◽  
Vol 31 (16-19) ◽  
pp. 1744017
Author(s):  
Liang-Bo Ji ◽  
Fang Chen
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Reduction Rate ◽  
Optimum Process ◽  
Surface Model ◽  
Optimization Of Process Parameters ◽  
Predicted Values ◽  
Shortening Rate

Numerical simulation and intelligent optimization technology were adopted for rolling and extrusion of zincked sheet. By response surface methodology (RSM), genetic algorithm (GA) and data processing technology, an efficient optimization of process parameters for rolling of zincked sheet was investigated. The influence trend of roller gap, rolling speed and friction factor effects on reduction rate and plate shortening rate were analyzed firstly. Then a predictive response surface model for comprehensive quality index of part was created using RSM. Simulated and predicted values were compared. Through genetic algorithm method, the optimal process parameters for the forming of rolling were solved. They were verified and the optimum process parameters of rolling were obtained. It is feasible and effective.

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