Startseite Guidelines for balancing the flow in extrusion dies: the influence of the material rheology
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Guidelines for balancing the flow in extrusion dies: the influence of the material rheology

  • A. Rajkumar , L.L. Ferrás , C. Fernandes , Olga S. Carneiro EMAIL logo und J. Miguel Nóbrega
Veröffentlicht/Copyright: 13. April 2017
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Abstract

In this work we present improved design guidelines to support the die designer activity, when searching for the flow channel geometry that allows the achievement of a balanced flow distribution, in complex profile extrusion dies. The proposed methodology relies on surrogate models, obtained through a detailed and extensive numerical study, carried out with the open source computational library OpenFOAM®, in which an appropriate numerical solver for the problems under study was implemented. The main contribution of this work is to further enlarge the applicability of the simplified design methodology (Rajkumar A, Ferrás LL, Fernandes C, Carneiro OS, Becker M, Nóbrega JM. Int. Polym. Proc. 2017, 32, 58–71.) previously proposed by this group for similar purposes, by considering the effect of processing parameters and material rheology. The sensitivity analyses performed showed that, among the studied parameters, the power-law exponent was the only one that affected the system behavior. Thus, the previous proposed surrogate models were modified to include the effect of this parameter. Verification studies performed for three geometries and different rheological and process parameters evidenced the effectiveness of the proposed simplified design methodology.

Acknowledgments

The authors would like to thank for the financial funding by FEDER through the COMPETE 2020 Program, the National Funds through FCT under the project UID/CTM/50025/2013. A. Rajkumar acknowledges the MIT-Portugal program and FCT (Portuguese Foundation for Science and Technology) for the funding through scholarship SFRH/BD/51943/2012, and L.L. Ferrás for the financial support by FCT through scholarship SFRH/BPD/100353/2014.

Appendix 1

The fitting function, or model, is given by:

L1t1=a(n,t2,L2/t2)[t1t2]2+b(n,t2,L2/t2)[t1t2]+c(n,t2,L2/t2)

For the L-die and T-die, the coefficients are given as follows:

a=x1(n)4+x2(n)3+x3(n)2+x4(n)+x5,b=u1(n)4+u2(n)3+u3(n)2+u4(n)+u5and c=v1(n)4+v2(n)3+v3(n)2+v4(n)+v5

x1=w1(t2)2+y1(t2)+z1u1=o1(t2)2+p1(t2)+q1v1=e1(t2)2+f1(t2)+g1
x2=w2(t2)2+y2(t2)+z2u2=o2(t2)2+p2(t2)+q2v2=e2(t2)2+f2(t2)+g2
x3=w3(t2)2+y3(t2)+z3u3=o3(t2)2+p3(t2)+q3v3=e3(t2)2+f3(t2)+g3
x4=w4(t2)2+y4(t2)+z4u4=o4(t2)2+p4(t2 )+q4v4=e4(t2)2+f4(t2)+g4
x5=w5(t2)2+y5(t2)+z5u5=o5(t2)2+p5(t2)+q5v5=e5(t2)2+f5(t2)+g5

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Received: 2017-1-12
Accepted: 2017-3-7
Published Online: 2017-4-13
Published in Print: 2018-2-23

©2018 Walter de Gruyter GmbH, Berlin/Boston

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