Injection moulding is one of the most productive methods in plastics processing allowing the production of parts with complex geometries in a single step. To stay competitive, part quality and its reproducibility remain a major issue for injection moulding manufacturers. Since modern machine technology allows sufficient reproducibility of machine variables like axis movements and pressures within the plasticising unit, the compensation of inevitable disturbances gains importance. Differences in the residual moisture of the plastics materials, the use of reground material, batch variations or interruptions in the production process may cause fluctuations in melt viscosity. These fluctuations affect the pressure distribution within the cavity resulting in warpage or even short shots or flash formation.

In this paper, a mould using pressure sensors within the hot runner manifold is used to analyse melt viscosity fluctuations during the injection moulding process. Similar to the principle of a high pressure capillary rheometer (HPCR), the viscosity can be analysed based on the pressure loss between two sensors. In contrast to steady rheometers, the transience of the injection moulding process has to be considered. Therefore, different indicators are analysed regarding their ability to distinguish polypropylene (PP) grades with different flowability. Finally, an indicator for the current melt viscosity is selected which enables an inline control of melt viscosity during injection moulding.

1.
U.
Thombanse
, et al., The Road to Self-optimising Production Technologies, in
Integrative Production Technology for High-Wage Countries
,
C.
Brecher
, Editor.
2012
,
Berlin, Heidelberg
:
Springer
. p.
793
848
.
2.
K.
Schiffers
,
S.
Kruppa
, and
S.
Moser
,
The Right Changeover Point for Each Shot.
Kunststoffe International
,
2014
.
104
(
11
): p.
26
30
.
3.
A.
Schreiber
,
Regelung des Spritzgießprozesses auf Basis von Prozessgrößen und im Werkzeug ermittelter Materialdaten
.
2011
:
RWTH Aachen
.
4.
C.
Hopmann
, et al.,
Self-optimizing injection molding based on iterative learning cavity pressure control.
Production Engineering Research and Development
,
2017
.
11
(
2
): p.
97
106
.
5.
D. V.
Rosato
,
D.V.
Rosato
, and
M.G.
Rosato
,
Injection molding handbook
.
2012
,
New York
:
Springer
6.
S.L.B.
Woll
and
D.J.
Cooper
, Pattern-Based Closed-loop Quality Control for the Injection Molding Process. 
Polymer Engineering and Science
,
1997
.
37
(
5
): p.
801
.
7.
Y.
Yang
 et al.,
Injection Molding Process Control, Monitoring, and Optimization
.
2016
,
Munich, Vienna
:
Carl Hanser Verlag
.
8.
J.
Wang
and
Q.
Mao
,
A Novel Process Control Methodology Based on the PVT Behavior of Polymer for Injection Molding.
Advances in Polymer Technology
,
2013
.
32
(
1
): p.
474
485
.
9.
F.A.
Heinzler
,
C.
Mielicki
, and
J.
Wortberg
,
A viscosity model for technical polymers describing chemical and physical aging.
Polymer Engineering & Science
,
2015
.
55
(
7
): p.
1628
1633
.
10.
T.A.
Osswald
and
N.
Rudolph
,
Polymer Rheology
.
2015
,
Munich, Vienna
:
Carl Hanser Verlag
.
11.
R.
Schiffers
,
Verbesserung der Prozessfähigkeit beim Spritzgießen durch Nutzung von Prozessdaten und eine neuartige Schneckenhubführung
.
2009
:
Universität Duisburg-Essen
.
12.
J.
Wortberg
,
R.
Schiffers
, and
C.
Ferriere
.
Identification of Raw Material Condition by Process Monitoring and Derived Control Strategies in Injection Moulding
. in
PPS-24 Conference Proceedings
.
2008
.
Salerno
.
13.
C.
Bader
and
E.
König
,
Quality control: taking control.
Kunststoffe International
,
2012
.
102
(
6
): p.
39
43
.
14.
C.
Hopmann
,
M.
Theunissen
, and
J.
Heinisch
.
Compensating Viscosity Fluctuations in Injection Moulding
. in
PPS-32 Conference Proceedings
.
2016
.
Lyon, France
.
15.
A.
Fernandez
,
M.
Muniesa
, and
C.
Javierre
,
In-line rheological testing of thermoplastics and a monitored device for an injection moulding machine: Application to raw and recycled polypropylene.
Polymer Testing
,
2014
.
33
: p.
107
115
.
16.
C.
Hopmann
,
T.
Fischer
, and
J.
Heinisch
.
Online melt viscosity measurement during injection molding for new control strategies
. in
Antec 2017 Conference Proceedings
.
2017
.
Anaheim, USA
.
17.
P.
Schümmer
,
Zur Darstellung der Durchflußcharakteristik viskoelastischer Flüssigkeiten in Rohrleitungen.
Chemie Ingenieur Technik
,
1969
.
41
(
18
): p.
1020
1022
.
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