Injection Molding Process Control of Servo-Hydraulic System

Author(s):  
Chun-Ying Lin ◽  
Fang-Cheng Shen ◽  
Kuo-Tsai Wu ◽  
Sheng-Jye Hwang ◽  
Huei-Huang Lee
2019 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Chun-Ying Lin ◽  
Fang-Cheng Shen ◽  
Kuo-Tsai Wu ◽  
Huei-Huang Lee ◽  
Sheng-Jye Hwang

The present study constructs a servo–hydraulic system to simulate the filling and packing processes of an injection molding machine. Experiments are performed to evaluate the velocity and position control of the system in the filling stage and the pressure control in the packing stage. The results demonstrate that the proposed system meets the required performance standards when operated with the proportional-integral–derivative (PID) controller under a sampling frequency of 1000 Hz.


1987 ◽  
Vol 27 (18) ◽  
pp. 1345-1357 ◽  
Author(s):  
A. R. Agrawal ◽  
I. O. Pandelidis ◽  
M. Pecht

Author(s):  
Yi-Sheng Chen ◽  
Kuo-Tsai Wu ◽  
Ming-Hong Tsai ◽  
Sheng-Jye Hwang ◽  
Huei-Huang Lee ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3551 ◽  
Author(s):  
Tatyana Ageyeva ◽  
Szabolcs Horváth ◽  
József Gábor Kovács

The recent trend in plastic production dictated by Industry 4.0 demands is to acquire a great deal of data for manufacturing process control. The most relevant data about the technological process itself come from the mold cavity where the plastic part is formed. Manufacturing process data in the mold cavity can be obtained with the help of sensors. Although many sensors are available nowadays, those appropriate for in-mold measurements have certain peculiarities. This study presents a comprehensive overview of in-mold process monitoring tools and methods for injection molding process control. It aims to survey the recent development of standard sensors used in the industry for the measurement of in-mold process parameters, as well as research attempts to develop unique solutions for solving certain research and industrial problems of injection molding process monitoring. This review covers the established process monitoring techniques—direct temperature and pressure measurement with standard sensors and with the newly developed sensors, as well as techniques for the measurement of indirect process parameters, such as viscosity, warpage or shrinkage.


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