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temperature variations that can occur from shot to shot. The pressure compensation phase of the molding process is modified to compensate for the melt temperature (barrel temperature) change in an effort to achieve dimensional consistency. Kamal et al. (1999) proposed two methods for the control of part weight in injection molding by controlling the peak melt pressure in the cavity and the estimated bulk temperature of the polymer in the cavity at the time when the gate freezes. Both control methods reduced variance in part weight. Michaeli et al. (2004, 2009) developed an online cavity pressure controller, which realized a constant gradient of the cavity pressure during the filling phase and calculated the cavity pressure with a PVT optimization in the holding pressure phase. They indicated that the specific volume displays a significant dependence on the viewed disturbance

This chapter provided an introduction to different measurements of polymer PVT properties and the application of polymer PVT data for injection molding. Different measurements of polymer PVT properties includes conventional measurements (piston-die technique and confining-fluid technique), some improved experimental techniques considering the effect of cooling rate, shear rate and pressure, on-line techniques using injection molding machine or extruders, etc. Several testing modes of operation were discussed, including: isothermal compression taken in order of increasing temperature, isothermal compression taken in order of decreasing temperature, isobaric heating and isobaric cooling. Almost all the PVT measurement apparatuses can be used in these several testing modes. For injection molding, polymer PVT data could be important in two areas: numerical simulation and process control. So the 2-domain Tait EOS which is used widely in injection molding was introduced in this chapter, then an example on numerical simulation using different PVT data was shown, at last the development of the control concepts based

From these different research fields, we can see that the PVT properties of polymers play the most important role in both numerical simulation and process control for injection molding. The knowledge on PVT properties of polymers could be the fundamental concepts for the

Some contents of this chapter originally appeared in the References. The author gratefully acknowledge the support of the National Natural Science Foundation of China (Grant No. 50973009), the Basic Research Fund of Beijing Institute of Technology (Project No.

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3100012211108) and the InTech.

**6. Acknowledgments** 

**7. References** 

**5. Summaries** 


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