Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network

2006 ◽  
Vol 70 (1-3) ◽  
pp. 559-567 ◽  
Author(s):  
Chia-Feng Juang ◽  
Shui-Tien Huang ◽  
Fun-Bin Duh
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Mold Temperature ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Fuzzy Network ◽  
Neural Fuzzy Network ◽  
Neural Fuzzy

Transformation Design of Mixed Injection Molding Production Line

2013 ◽  
Vol 364 ◽  
pp. 329-332
Author(s):  
Xi En Zhou ◽  
Fei Luo ◽  
Xiao Yan Deng ◽  
Feng Jiao Che
Keyword(s):  
Injection Molding ◽  
Production Process ◽  
Temperature Control ◽  
Production Line ◽  
Control Method ◽  
Production Cycle ◽  
Labor Costs ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Production Automation

Due to the problems of the traditional mixed injection molding production, such as unsatisfactory of the injection molding machine cylinder temperature control, the dispersed devices, the low automation degree and the lack of supervision for the whole production process, the production line of the mixed injection molding machine has been modified. The fuzzy self-adaptive PID control method is used to improve the temperature control accuracy and stability. Two sets of equipments of the injection molding machine have been communicated via the bus technology to realize automation production. And the computer monitoring system has been designed by VB technology to monitor the operating status and parameters of the entire production process. This transformation design can achieve to shorten production cycle, reduce labor costs and covering area, and also improve the production automation level and efficiency.

The Control Research of Neural Network on Barrel Temperature of the Plastic Injection-Molding Machine

2011 ◽  
Vol 52-54 ◽  
pp. 1656-1659
Author(s):  
Wu Jun Lai ◽  
Shuang Chen
Keyword(s):  
Neural Network ◽  
Injection Molding ◽  
Temperature Control ◽  
Reference Value ◽  
Basic Structure ◽  
Molding Machine ◽  
Control Effect ◽  
Injection Molding Machine ◽  
The Neural Network ◽  
Control Research

The temperaturel contror of injection molding machine barrel was acted as the research object in this paper, by combining artificial neural network with SPIDNN ,we created the basic structure and algorithm models of neural network on the injection molding machine barrel temperature control. Using of Matlab, control of the neural network on barrel temperature was simulated, the quite satisfactory control effect had obtained. The results show that the control strategy proposed can effectively improve the injection molding machine barrel temperature control accuracy, there is important reference value for temperature control of injection molding machine barrel.

scholarly journals Design of Multimodel based MPC and IMC control schemes applied to injection molding machine

2014 ◽  
Vol 3 (2) ◽  
pp. 82
Author(s):  
Kanaga Lakshmi ◽  
D. Manamalli ◽  
M. Mohamed Rafiq
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Weighted Average ◽  
Injection Molding Process ◽  
Monitoring And Control ◽  
Molding Machine ◽  
Molding Process ◽  
Melt Temperature ◽  
Injection Molding Machine ◽  
And Control

Good control of plastic melt temperature for injection molding is very important in reducing operator setup time, ensuring product quality, and preventing thermal degradation of the melt. The controllability and set points of barrel temperature also depend on the precise monitoring and control of plastic melt temperature. Motivated by the practical temperature control of injection molding, this paper proposes MPC and IMC based control scheme. A robust system identification and control methodology is developed which uses canonical varieties analysis for identification and model predictive control for regulation. The injection molding process consists of three zones and the mathematical model for each of the zone is different. The control output for each zone controller is assigned a weight based on the computed probability of each model and the resulting action is the weighted average of the control moves of the individual zone controllers. Keywords: Injection-Molding Machine (IMM), IMC Control, Temperature Control.

The Method of Improving Precision of Micro Injection Molding Machine Temperature Control

2013 ◽  
Vol 372 ◽  
pp. 354-359
Author(s):  
Sheng De Tang ◽  
Hong Xu ◽  
Da Ming Wu ◽  
Ya Jun Zhang
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Control Method ◽  
Polymer Melt ◽  
Molding Machine ◽  
Micro Injection Molding ◽  
Injection Molding Machine ◽  
Mathematical Algorithm ◽  
Accurate Temperature ◽  
Accurate Temperature Control

the temperature control accuracy of polymer melt is the main factor affecting quality precision of final products. In this paper, we study the method of improving the precision of temperature control based on control system of micro injection molding machine. In order to avoid big overshoot in the traditional PID control, we use gradual approximation control method based on gradual approximation mathematical algorithm to realize fast and accurate temperature control of the micro injection molding machine. Experiment results show that effective combination of the traditional PID and gradual approximation method can realize accurate temperature control of micro injection molding machine, and precision of temperature control can be improved up to±0.5°C.

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