Use of the Fast-cool pVT Data for Shrinkage Analysis in Injection Molding

2002 ◽  
Vol 17 (1) ◽  
pp. 67-75 ◽  
Author(s):  
S. Han ◽  
K. K. Wang
Keyword(s):  
Author(s):  
Alexander Muranov ◽  
Alexey Semenov ◽  
Anatoly Kutsbakh ◽  
Boris Semenov

The article discusses one of the modern areas of powder metallurgy – the technology of manufacturing shaped parts by the powder injection molding (PIM). For the powder-polymer mixture (feedstock) with a wax-polypropylene binder of the solvent-thermal type of removal by isobaric volume dilatometry, the dependence of PVT state parameters was studied. For each component of the polymer binder, the dependence of pressure on the temperature of phase transition was obtained. As a result of mathematical processing and analysis of PVT data for the feedstock of the studied type, a technological window of parameters has been determined that allows injection molding of «green parts» with minimal volume shrinkage. The results of a comparative analysis of the compaction of feedstock with a polymer binder catalytic and solution-thermal type of removal are presented.


2012 ◽  
Vol 729 ◽  
pp. 126-131 ◽  
Author(s):  
Ferenc Szabó ◽  
József Gábor Kovács

The pressure-temperature-specific volume relation of polymers is important not only for physical chemistry, but they are very significant input data for injection molding simulation software. Todays methods for measuring pvT data are slow, measurements can take days to be carried out, and in many cases the accuracy of the measurement is unsatisfactory. In our work, a new measuring method has been developed which makes the determination of the pvT relation faster compared to conventional processes within injection molding processing conditions. For the measurements a special injection mould was developed, in which the pvT relation of the material can be determined from the shrinkage in the mold. The data measured by the new method using polypropylene at a mold temperature of 23°C were compared to the data given in the database of the simulation software.


2013 ◽  
Vol 133 (4) ◽  
pp. 105-111
Author(s):  
Chisato Yoshimura ◽  
Hiroyuki Hosokawa ◽  
Koji Shimojima ◽  
Fumihiro Itoigawa

2019 ◽  
pp. 58-67
Author(s):  
N. T. Kakhramanov ◽  
◽  
Z. N. Huseynova ◽  
V. S. Osipchik ◽  
R. V. Kurbanova ◽  
...  

2010 ◽  
Vol 25 (5) ◽  
pp. 341-345
Author(s):  
K. H. Kim ◽  
W. Kim ◽  
J. C. Hong ◽  
H. S. Ko ◽  
B. K. Kim ◽  
...  

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