2009
DOI: 10.1016/j.jmatprotec.2009.01.021
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Adjustment of stochastic responses of typical cold forging systems

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Cited by 9 publications
(3 citation statements)
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“…In bulk metal forming, Grandhi et al quantified the effect of process uncertainties in order to control the geometric variations in forging of a disc component [26,27]. A similar research was reported in predicting stochastic responses of cold forging processes [28]. Using piecewise continuous interpolation of the probability distribution function over the support space at the element integration points, a non-intrusive stochastic Galerkin method was developed to estimate stochastic responses of a number of bulk metal-forming processes [29].…”
Section: Introductionmentioning
confidence: 99%
“…In bulk metal forming, Grandhi et al quantified the effect of process uncertainties in order to control the geometric variations in forging of a disc component [26,27]. A similar research was reported in predicting stochastic responses of cold forging processes [28]. Using piecewise continuous interpolation of the probability distribution function over the support space at the element integration points, a non-intrusive stochastic Galerkin method was developed to estimate stochastic responses of a number of bulk metal-forming processes [29].…”
Section: Introductionmentioning
confidence: 99%
“…Kleiber et al (2004) used a response surface method approach to estimate the probability of sheet metal failures during the forming operation with the influence of uncertainties such as friction, material properties, thickness and blankholding force studied by the methodology of reliability theory. In a work conducted by Krusic et al (2009), FE simulations were applied to backward can extrusion, free upsetting, closed-die forging and forward rod extrusion in order to study the effects of scatter of the key process input parameters on the dimensional accuracy of products and on the tool service life. Furthermore, Rahman and Wei (2006) presented a univariate method to approximate multivariate functions by employing the Most Probable Point as the reference point for predicting failure probability of structural and mechanical systems subject to random loads, variations in material properties and geometry.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, press stiffness is an important parameter of the WTP system, which increases the accuracy of products and influences the service life of tools. This has to be taken into account when designing technologies for precise cold-forging, as emphasized by Krusic et al (2009). Neumann and Hahn (1998) investigated the working precision of a single-point drive eccentric press, both experimentally and by computer simulation using press models.…”
Section: Introductionmentioning
confidence: 99%