Mold temperature control in injection molding is very important for co
ntrol of production rate and product quality. However, mold temperatur
e is a complex function of machine design, process variables, machine
settings and ambient conditions. Data were obtained regarding the vari
ability in both space and time (in-cycle and cycle-to-cycle) of mold m
etal and mold surface temperatures and heat flux. In view of this vari
ability, it is necessary to define variables which may be useful for c
ontrol purposes. The following variables were evaluated. cycle average
temperature, peak temperature, and partial cooling time. Dynamic mode
ls were developed, on the basis of experimental data, to determine the
process gains, time constants and time delays for the above variables
with regard to coolant temperature, coolant flowrate, and melt temper
ature as the possible manipulated variables. In view of the dynamic st
udies, the cycle average surface temperature was selected as the contr
olled variable for control system design and simulation. The regulatin
g abilities of PI, PID, and Dahlin controllers were evaluated. The res
ults indicate that Dahlin control caused the controlled variable to fo
llow the set-point closely, even when the process parameters vary, thu
s showing good robustness. However, the Dahlin algorithm achieves this
advantage via large variations in the manipulated variable. This may
cause difficulty in some circumstances.