2007
DOI: 10.1002/pen.20930
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An inverse estimation of initial temperature profile in a polymer process

Abstract: Since one of the most important parameter in polymer processing such as injection stretch blow molding is temperature distribution in the thickness direction, an inverse method has been applied to estimate this profile. This process comprises of four steps. In the first step the preform is injection molded, and in the second and third step it is stretched by a rod to its final length and then inflated and in the last step it is discharged from the mold. In such kind of polymer flows viscous dissipation plays a… Show more

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Cited by 7 publications
(6 citation statements)
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“…In the specific case, we made use of the Gauss minimization algorithm to minimize the functional (14) associated with the temperature residuals, but other common methods can be used from gradient minimization algorithm to more sophisticated Kalman filter if one wants to correctly account for other quantities like random errors on the control temperatures.…”
Section: Compensation Of the Initial Temperature Biasmentioning
confidence: 99%
See 1 more Smart Citation
“…In the specific case, we made use of the Gauss minimization algorithm to minimize the functional (14) associated with the temperature residuals, but other common methods can be used from gradient minimization algorithm to more sophisticated Kalman filter if one wants to correctly account for other quantities like random errors on the control temperatures.…”
Section: Compensation Of the Initial Temperature Biasmentioning
confidence: 99%
“…In this work, the focus is on errors in the initial temperature distribution [10][11][12][13][14][15][16]. It is often possible to arrange in the interior of the specimen under test only a limited number of sensors (or no sensors at all in particular experiments [17,18]).…”
Section: Introductionmentioning
confidence: 99%
“…Another significant drawback is the high CPU cost. A mathematical function called f 6 (Ranjbar and Mirsadeghi, 2007; Imani et al , 2006; Davis, 1991; Schaffer et al , 1989) was optimized to illustrate the performance of the MEGA. The expression of this function is: (see equation 12) The goal is to optimize f 6, e.g.…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…Inverse heat conduction problems have received much attention since they have been widely used in practical engineering problems to estimate the thermal properties (Kim et al , 2003, 2004) as well as the initial and boundary conditions (Raudensk y ´, 1993; Chen et al , 1997; Kim and Lee, 2002; Ranjbar and Mirsadeghi, 2007; Martorano and Capocchi, 2000). The aim of the present study is simultaneous estimation of temperature‐dependent thermal conductivity and heat capacity which are, in general, dependent on the temperature.…”
Section: Introductionmentioning
confidence: 99%
“…[22] an automatic optimization of the preform geometry and operating conditions using sequential quadratic programming (SQP) is proposed. In more recent work optimization is used to find the parison temperature distdbution in polymer stretch-blow proces.ses [23,24]. For a more extensive literature review on numedcal optimization strategies for polymer blow molding processes the reader is referred to Ref.…”
Section: Introductionmentioning
confidence: 99%