scholarly journals Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

Polymers ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2755
Author(s):  
Quan Wang ◽  
Xiaomei Zhao ◽  
Jianpeng Zhang ◽  
Ping Zhang ◽  
Xinwei Wang ◽  
...  
Keyword(s):  
Process Parameters ◽  
Area Under The Curve ◽  
Coefficient Of Determination ◽  
Injection Molding Process ◽  
Pressure Curve ◽  
Cavity Pressure ◽  
Monitoring And Control ◽  
Molding Process ◽  
Melt Temperature

The cavity pressure in the injection molding process is closely related to the quality of the molded products, and is used for process monitoring and control, to upgrade the quality of the molded products. The experimental platform was built to carry out the cavity pressure experiment with a micro spline injection mold in the paper. The process parameters were changed, such as V/P switchover, mold temperature, melt temperature, packing pressure, and injection rate, in order to analyze the influence of the process parameters on the product weight. The peak cavity pressure and area under the pressure curve were the two attributes utilized in investigating the correlation between cavity pressure and part weight. The experimental results show that the later switchover allowed the injection to proceed longer and produce a heavier tensile specimen. By comparing different cavity pressure curves, the general shapes of the curves were able to indicate different types of shortage produced. When the V/P switchover position is 10 mm, the coefficient of determination (R2 value) of part weight, for the peak cavity pressure and area under the curve, were 0.7706 and 0.8565, respectively. This showed that the area under the curve appeared to be a better process and quality indicator than the peak cavity pressure.

Study on Application of Monitoring the Melt Flow Balance of Injection Molding Process by Using Cavity Pressure Monitoring Technology

2013 ◽  
Vol 756-759 ◽  
pp. 528-532
Author(s):  
Jin Wei Chen ◽  
Ling Yang
Keyword(s):  
Process Parameters ◽  
Parameters Optimization ◽  
Injection Molding Process ◽  
Pressure Curve ◽  
Cavity Pressure ◽  
Melt Flow ◽  
Pressure Monitoring ◽  
Molding Process ◽  
Monitoring Technology ◽  
Flow Balance

At first this paper described the cavity pressure monitoring technology definition and work principle. Then showed that made use of monitoring the cavity pressure curve and study melt flow balance by specific example. The use of cavity pressure curve could be quickly and accurately get the best process parameters, so change the way of obtaining process parameters optimization from the "experience" basis to "scientific" basis. The article concluded it could understand deeply and grasp the relationship among the three proposals of the cavity pressure curve, process parameters and product quality.

scholarly journals ANALYSIS ON VOLUMETRIC SHRINKAGE OF PLASTIC FOOD CONTAINER MADE FROM AN INJECTION MOLDING PROCESS

2020 ◽  
Vol 8 (2) ◽  
pp. 22-31
Author(s):  
Rosidah Jaafar ◽  
◽  
Hambali Arep ◽  
Effendi Mohamad ◽  
Jeefferie Abd Razak ◽  
...  
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Food Packaging ◽  
Plastic Injection Molding ◽  
Volumetric Shrinkage ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Plastic Injection

The plastic injection molding process is one of the widely used of the manufacturing process to manufacture the plastic product with high productivity. Moreover, the food packaging manufacturing industry undergoes the trials and errors to obtain the optimal setting of the process parameters in order to minimize the quality issues and these trials and errors are time consuming and costly. The aim of this study is to improve the quality of the butter tub by minimizing the volumetric shrinkage. This study is to deal with the application of Moldflow integrating with the statistical technique to minimize the volumetric shrinkage the butter tub which depends on the process parameters of the plastic injection molding. For this purpose, the rectangular shape of butter tub is designed by utilizing the SolidWorks. Molflow is used to simulate the plastic filling of the single cavity mold of butter tub based on the Taguchi’s �!" orthogonal array table. In addition, the analysis of variance (ANOVA) is applied to investigate significant impact of the process parameters on the quality of the butter tub. Minitab is used to optimize the response of the volumetric shrinkage by selecting the most appropriate process parameters that maximizing the desirability value. Furthermore, the butter tub has a uniform thickness which was 1.2 mm and its factor of safety was 3.383 and the volumetric shrinkage response have optimized by 0.956 %. The melt temperature and mold temperature are found to be the most significant process parameters for the plastic injection molding process of butter tub and the volumetric shrinkage value obtained from the simulation is verified by the calculated volumetric shrinkage value.

Injection Molding Process Parameters Analysis and Optimization Depending on Moldflow

2013 ◽  
Vol 401-403 ◽  
pp. 848-851
Author(s):  
Na Li ◽  
Hong Bin Liu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Factorial Experiment ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Verification Process ◽  
Quality Of Products

t was carried out the simulation experiment for injection molding process by the factorial experiment method and the Moldflow software. The model was a computer panel. The responses target to experiment was the warpage. The data was used the ANOVA analysis which came from the factorial experiment. The effect levels of the parameters were got, such as the mold temperature, the injection time, the pressure, the melt temperature et .al. Through the analysis of the response figures, it obtained injection molding process parameters of the optimal combination plan, and the simulated verification process. The experiment proved that this method can reduce test times and guarantee the excellent quality of products.

Application of Monitoring the Melt Flow Balance of Injection Molding Process by Using Cavity Pressure Monitoring Technology

2013 ◽  
Vol 694-697 ◽  
pp. 1105-1109
Author(s):  
Jin Wei Chen ◽  
Xiang Fang Peng
Keyword(s):  
Process Parameters ◽  
Parameters Optimization ◽  
Injection Molding Process ◽  
Pressure Curve ◽  
Cavity Pressure ◽  
Melt Flow ◽  
Pressure Monitoring ◽  
Molding Process ◽  
Monitoring Technology ◽  
Flow Balance

At first this paper described the cavity pressure monitoring technology definition and work principle. Then showed that made use of monitoring the cavity pressure curve and study melt flow balance by specific example. The use of cavity pressure curve could be quickly and accurately get the best process parameters, so change the way of obtaining process parameters optimization from the "experience" basis to "scientific" basis. The article concluded it could understand deeply and grasp the relationship among the three proposals of the cavity pressure curve, process parameters and product quality.

Optimization of Injection Molding Process Parameters with Material Properties Based on GA and BP

2013 ◽  
Vol 345 ◽  
pp. 586-590 ◽  
Author(s):  
Xiao Hong Tan ◽  
Lei Gang Wang ◽  
Wen Shen Wang
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Axial Deformation ◽  
Molding Process ◽  
Melt Temperature ◽  
Bp Network ◽  
Injection Parameters ◽  
Moldflow Simulation

To obtain optimal injection process parameters, GA was used to optimize BP network structure based on Moldflow simulation results. The BP network was set up which considering the relationship between volume shrinkage of plastic parts and injection parameters, such as mold temperature, melt temperature, holding pressure and holding time etc. And the optimal process parameters are obtained, which is agreed with actual results. Using BP network to predict injection parameters impact on parts quality can effectively reduce the difficulty and workload of other modeling methods. This method can be extended to other quality prediction in the process of plastic parts.Keyword: Genetic algorithm (GA);Neural network algorithm (BP);Injection molding process optimization;The axial deformation

The Effect of Injection Molding Process Parameters on the Buckling Properties of PBT/Short Glass Fiber Composites

2011 ◽  
Vol 284-286 ◽  
pp. 550-556 ◽  
Author(s):  
Ming Hsiung Ho ◽  
Pin Ning Wang ◽  
Chin Ping Fung
Keyword(s):  
Injection Molding ◽  
Glass Fiber ◽  
Process Parameters ◽  
Injection Molding Process ◽  
Skin Area ◽  
Molding Process ◽  
Melt Temperature ◽  
Short Glass Fiber ◽  
Filling Time ◽  
Short Glass

This study investigates the effect of various injection molding process parameters and fiber amount on buckling properties of Polybutylene Terephthalate (PBT)/short glass fiber composite. The buckling specimens were prepared under injection molding process. These forming parameters about filling time, melt temperature and mold temperature that govern injection molding process are discussed. The buckling properties of neat PBT, 15 wt%, and 30 wt% are obtained using two ends fixed fixture and computerized closed-loop server-hydraulic material testing system. The fracture surfaces are observed by scanning electron microscopy (SEM). The global buckling forces are raised when increased the fiber weight percentage of PBT. Also, the fracture mechanisms in PBT and short glass fiber matrix are fiber pullout in skin area and fiber broken at core area. It is found that the addition of short glass fiber can significantly strengthen neat PBT.

Application of Numerical Simulation in Optimizing Rubber Injection Molding Process

2013 ◽  
Vol 561 ◽  
pp. 390-394
Author(s):  
Hui Min Zhang ◽  
Jia Teng Niu ◽  
Lei Lei Dong
Keyword(s):  
Numerical Simulation ◽  
Production Efficiency ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Melt Flow ◽  
Molding Process ◽  
Melt Temperature ◽  
Numerical Simulation Methods ◽  
Quality Of Products

The rubber melt flow processes was studied through the numerical simulation methods. According to the two important factors of the melt temperature and mold temperature, the paper designs three plans, analyzed rubber melt flow front temperature, volume curing rate and volume curing rate at the end of filling in different melt temperature and mold temperature and found the best solution, so that curing time was shorten and production efficiency was improved under the precondition of filling smoothly mold and ensuring quality of products.

Influence of Injection Molding Process Parameters on Sink Marks of Injection Parts Based on Moldflow

2013 ◽  
Vol 347-350 ◽  
pp. 1163-1167
Author(s):  
Ling Bai ◽  
Hai Ying Zhang ◽  
Wen Liu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Processing Parameters ◽  
Injection Molding Process ◽  
Molding Process ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Sink Marks ◽  
Research Show

Moldflow software was used to obtain the best gate location and count. Influence of injection molding processing parameters on sink marks of injection-piece was studied based on orthogonal test. The effects of different process parameters were analyzed and better process parameters were obtained. Results of research show that decreasing melt temperature, mold temperature, the increasing injection time and packing pressure can effectively reduce the sink marks index.

Viscosity Testing of Plastic Material PA6 with 15% of Glass Fibers

2018 ◽  
Vol 928 ◽  
pp. 133-138
Author(s):  
Karel Ráž ◽  
Martin Zahalka
Keyword(s):  
Injection Molding ◽  
Polymer Material ◽  
Process Parameters ◽  
Plastic Material ◽  
Glass Fibers ◽  
Injection Pressure ◽  
Injection Molding Process ◽  
Spiral Flow ◽  
Molding Process ◽  
Melt Temperature

The main aim of this paper was to describe the viscosity and injection mold filling behavior of PA6 with 15% of glass fibers. Injection molding is one of the most widely used processes for polymer products. The quality of these products is directly linked to correct choice of process parameters. It is necessary to understand the filling behavior of the polymer material during the injection molding process. The spiral flow test was carried out in this study to explore the effects of several injection process parameters. The resulting lengths of spiral flow were compared. The polymer material under test was Polyamide 6 with 15% of short glass fibers (trade name: Durethan BKV 15). Virtual testing as well as real testing was performed. A predominantly linear relationship between the flow length and the mold temperature, melt temperature and injection pressure is described here. A special mold was designed for this test.

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