DocumentCode :
3443111
Title :
Notice of Retraction
Modeling and optimization in the compression modeling fuel process of straw and rice bran mixture
Author :
Li Da-zhong ; Zhu Wen-jie
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
702
Lastpage :
705
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In this paper, straw and rice bran is the object of the molding process. It analyzes the impact of straw and rice bran mixture ratio and temperature on the main indicators of forming fuel. Based on the LS-SVM, multi-objective optimization function and the model of the straw and rice bran mixed-compression molding process have been established. Also the model and molding process has been tested and optimization with the experimental data. The results show that the model prediction and experimental values of the average maximum relative error is 1.59%, with good simulation results. Meanwhile, when the proportion of rice straw is 55.9% and the molding temperature is about 129.07°C, the optimal value is very close to the experimental maximum value and the maximum relative error is 2.86%.
Keywords :
biofuel; compression moulding; least squares approximations; optimisation; production engineering computing; renewable materials; support vector machines; LS-SVM; compression molding process; fuel process; multiobjective optimization function; straw-rice bran mixture; support vector machine; Combustion; Compression molding; Heating; Indexes; Support vector machines; mix compression molding; modeling; optimizing; straw and rice bran;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658473
Filename :
5658473
Link To Document :
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