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Development of a novel control strategy for a highly segmented injection mold tempering for inline part warpage control
Author(s) -
Hopmann Christian,
Kahve Cemi,
Schmitz Mauritius
Publication year - 2020
Publication title -
polymer engineering and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.503
H-Index - 111
eISSN - 1548-2634
pISSN - 0032-3888
DOI - 10.1002/pen.25481
Subject(s) - mold , materials science , shrinkage , temperature control , discretization , tempering , work (physics) , process (computing) , pid controller , molding (decorative) , control volume , controller (irrigation) , volume (thermodynamics) , mechanical engineering , transfer molding , composite material , mechanics , computer science , thermodynamics , engineering , mathematics , mathematical analysis , physics , operating system , agronomy , biology
The demand of precise injection‐molded parts is steadily increasing and is today one of the most relevant challenges, due to local variations in temperature and pressure during the production of the part. These variations can lead to a significant change of the local specific volume, shrinkage potential, and inner stress, which ultimately results in part warpage. By homogenizing the local specific volume over the part according to the specific pvT‐behavior of the polymer, warpage is expected to be reduced. The following work describes a new approach to control the local specific volume by a newly developed segmented and highly dynamic mold temperature control based on rapid heating ceramics and CO 2 evaporation chambers. Since injection molding is a dynamic process and heat transfer inside the mold is comparably slow, a special control strategy is necessary to activate the heating and cooling elements in advance. For this, a novel prediction strategy based on a discretization of the one‐dimensional heat equation has been developed. Experimental trials including a classical PID controller and a model predictive control approach (MPC) show that the MPC is superior regarding the process stability.