Premium
Injection‐molding process control—A review
Author(s) -
Agrawal A. R.,
Pandelidis I. O.,
Pecht M.
Publication year - 1987
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.760271802
Subject(s) - process (computing) , control theory (sociology) , molding (decorative) , process control , pid controller , control (management) , phase (matter) , control variable , computer science , control engineering , materials science , engineering , temperature control , physics , composite material , artificial intelligence , machine learning , operating system , quantum mechanics
This paper reviews control strategies employed in the injection‐molding process. For clarity, the controlled variables have been categorized into all‐phase control, phase‐dependent control, and cycle‐to‐cycle control. All‐phase control includes variables that must be monitored and controlled at all times; i.e., in all the phases. Control of variables that are triggered during a specific phase are discussed under phase‐dependent control. In cycle‐to‐cycle control, previous data are used to predict future trends and take appropriate corrective actions, The cyclic, dynamic, and unsteady state nature of the injection‐molding process is discussed with respect to the conventional proportional‐integral (PI) and proportional‐ integral‐derivative (PID) controllers as well as the more advanced control schemes such as self‐tuning control, optimal control, and statistical process control. Suggestions involving specific advanced control schemes and recommendations for future research in injection‐molding process control also are made.