DocumentCode
526582
Title
Notice of Retraction
Optimization on stiffness of car body based on response surface methodology with moving least squares
Author
Hao Qi ; Sun Yuan
Author_Institution
Automotive Dept, Hubei Univ. of Automotive Technol., Shiyan, China
Volume
7
fYear
2010
fDate
9-11 July 2010
Firstpage
615
Lastpage
619
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 order to optimize the stiffness of car body, Latin design of experiment method is taken to design sample for 300 times. Fitting approximate models of response surfaces with moving least squares methodology are inducted in torsion stiffness optimization, in which the disadvantage of lower precision with least squares methodology is avoided and the relative error percentage is less than 3%. Adaptive response surface optimization methodology is used to optimize approximate models. Optimized plan of changing the thicknesses of front beams and front wheel houses mainly is confirmed. As mass increasing by 6.21%, torsion stiffness increases by 34.85%. The thicknesses of some parts are configured reasonably.
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 order to optimize the stiffness of car body, Latin design of experiment method is taken to design sample for 300 times. Fitting approximate models of response surfaces with moving least squares methodology are inducted in torsion stiffness optimization, in which the disadvantage of lower precision with least squares methodology is avoided and the relative error percentage is less than 3%. Adaptive response surface optimization methodology is used to optimize approximate models. Optimized plan of changing the thicknesses of front beams and front wheel houses mainly is confirmed. As mass increasing by 6.21%, torsion stiffness increases by 34.85%. The thicknesses of some parts are configured reasonably.
Keywords
automotive components; beams (structures); design of experiments; least squares approximations; optimisation; response surface methodology; torsion; wheels; Latin design of experiment method; adaptive response surface optimization methodology; approximate model; car body; front beams; front wheel houses; moving least squares methodology; torsion stiffness optimization; Adaptation model; Floors; Large scale integration; Optimization; Software; Software reliability; US Department of Energy; car body; moving least square methodology; optimization; response surfac; stiffnes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564634
Filename
5564634
Link To Document