2008
DOI: 10.1016/j.jmatprotec.2007.09.005
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Reliability analysis of a sheet metal forming process using Monte Carlo analysis and metamodels

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Cited by 41 publications
(16 citation statements)
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“…Previous work realized by Janssona et al (2008) has investigated several methods for assessing process variabilities and analyzing the influence of materials and friction phenomena in the neighbourhood of optimal solutions. Chiefly, two different approaches have been developed in the literature.…”
Section: Variability Analysis Of the Stamping Operationmentioning
confidence: 99%
“…Previous work realized by Janssona et al (2008) has investigated several methods for assessing process variabilities and analyzing the influence of materials and friction phenomena in the neighbourhood of optimal solutions. Chiefly, two different approaches have been developed in the literature.…”
Section: Variability Analysis Of the Stamping Operationmentioning
confidence: 99%
“…Therefore various numerical techniques have been proposed for reducing the computational cost in the evaluation of the probability of failure (Donglai et al, 2008;Jansson et al, 2007). Monte Carlo simulations coupled with response surface methodology (RSM) is used to assess the probability of failure.…”
Section: Evaluation Of the Probability Of Failurementioning
confidence: 99%
“…Kleiber et al (2002) developed the method of adaptive Monte Carlo simulations to estimate the reliability of the sheet metal forming operations. In the paper by Jansson et al (2007) the Monte Carlo simulation techniques and metamodels are used to estimate the reliability of the sheet forming process.…”
Section: State Of the Art In Designing Reliable And Robust Cold Forgimentioning
confidence: 99%