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%.
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