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

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.

2013 ◽  
Vol 372 ◽  
pp. 354-359
Author(s):  
Sheng De Tang ◽  
Hong Xu ◽  
Da Ming Wu ◽  
Ya Jun Zhang

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.


2011 ◽  
Vol 52-54 ◽  
pp. 1656-1659
Author(s):  
Wu Jun Lai ◽  
Shuang Chen

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.


2014 ◽  
Vol 3 (2) ◽  
pp. 82
Author(s):  
Kanaga Lakshmi ◽  
D. Manamalli ◽  
M. Mohamed Rafiq

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.


2020 ◽  
Vol 8 (2) ◽  
pp. 65-74
Author(s):  
Mochammad Mahardika ◽  
Handika Rahmayanti ◽  
Abdul Majid

The type of plastic packaging that is popular among the public is bottle packaging, plastic bottle packaging always has a bottle cap. Some people only know that the part of the bottle cap is only on the outer cap, even though the plastic bottle cap consists of two types, namely the outer cap (cap) and the inner cap (plug). The plastic material used to make the plug is Linear Low Density Polyethylene (LLDPE), a telon oil plug is produced using an injection molding machine, by inserting plastic pellets into the hopper and then heating it by the barrel, plastic pellets that have melted will be injected into the mold ( print). In the process of making the telon oil plug, a defect was found. From the observation, it is known that several types of defects that occur during the LLDPE oil plug production process include black dot, flashing, and unmould / short shot. Defects that occur during the telon oil plug production process are caused by damage, contamination, and mismatches in the engine parameter settings. The purpose of this study is to determine the causes and solutions of defects that occur in LLDPE telon oil plugs with the HAITIAN 1600MA injection molding machine at PT X. Some solutions are made to reduce defects that occur in telon oil LLDPE plugs is to clean the material reservoir, repair or replace the mold, clean the hopper before loading the material, and set up the barrel parameter 180-230oC, inject pressure 60 bar, holding pressure 30 bar, speed 17.8 seconds.


2007 ◽  
Vol 120 ◽  
pp. 175-180
Author(s):  
Jin Hyun Park ◽  
Hun Mo Kim

Injection Molding Machine (IMM) has been widely used for the mass production of a plastic product. With the development of the relative technique, various injection molding techniques have been developed and we could get more precise plastic product. In this paper, we present the system reliability of an IMM subject to a controller. The controller of an IMM is an important factor in the injection molding and this controller has direct influence on the quality of a plastic product. Presently, the mold close and open control method of a toggle type IMM is openloop control. Open-loop method is difficult to control when they affect highly nonlinear characteristic in an IMM. Therefore, we propose an alternate approach to implement the controller using closed-loop control method to enhance the reliability. Through the development, fuzzy control algorithm is selected and it is programmed by an IL(Instruction List) and a LD(Ladder Diagram) on a PC based PLC. For the development of an IMM controller, PC based PLC of PCI card type, distributed I/O modules with CANopen, Industrial PC and HMI(Human Machine Interface) software are used.


2013 ◽  
Vol 336-338 ◽  
pp. 826-832
Author(s):  
Yang Zhang ◽  
Wei Mo

This paper presents a fuzzy adaptive PID control algorithm for the multi-channel temperature control system of injection molding machine. The article describes the structure and control rules of fuzzy adaptive PID controller and the hardware and software implementations of the temperature control system. The experimental result shows that the systems temperature control method has a good control effect on such kind of time-varying hysteretic complex temperature control system of injection molding machine, and it can finally reach the temperature control accuracy of ±1°C within the measuring range of 0~400°C.


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