2007
DOI: 10.1063/1.2740853
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Response Surface Method for the Rapid Design of Process Parameters in Tube Hydroforming

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Cited by 3 publications
(1 citation statement)
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“…Jin Weilian and Yuan (2007) [11] presented a response surface method based on least squares support vector machines (LS-SLM) aiming at the reliability analysis problems with implicit performance function. Chebbah (2007) [12] dealt with the optimization of tube hydro forming parameters in order to reduce defects which might occur at the end of forming process such as necking and wrinkling by RSM. Jin et al (2008) [13] presented a new artificial neural net work-(ANN) based response surface method in conjunction with the uniform design method for predicting failure probability of structures.…”
Section: Introductionmentioning
confidence: 99%
“…Jin Weilian and Yuan (2007) [11] presented a response surface method based on least squares support vector machines (LS-SLM) aiming at the reliability analysis problems with implicit performance function. Chebbah (2007) [12] dealt with the optimization of tube hydro forming parameters in order to reduce defects which might occur at the end of forming process such as necking and wrinkling by RSM. Jin et al (2008) [13] presented a new artificial neural net work-(ANN) based response surface method in conjunction with the uniform design method for predicting failure probability of structures.…”
Section: Introductionmentioning
confidence: 99%