scholarly journals Intelligent Injection Molding on Sensing, Optimization, and Control

2020 ◽  
Vol 2020 ◽  
pp. 1-22 ◽  
Author(s):  
Peng Zhao ◽  
Jianfeng Zhang ◽  
Zhengyang Dong ◽  
Junye Huang ◽  
Hongwei Zhou ◽  
...  
Keyword(s):  
Injection Molding ◽  
Control Strategies ◽  
Research Field ◽  
Future Research ◽  
Injection Molding Process ◽  
Molding Process ◽  
Geometric Precision ◽  
Optimization And Control ◽  
Active Research ◽  
And Control

Injection molding is one of the most significant material processing methods for mass production of plastic products. It is widely used in various industry sectors, and its products are ubiquitous in our daily life. The settings and optimization of the injection molding process dictate the geometric precision and mechanical properties of the final products. Therefore, sensing, optimization, and control of the injection molding process have a crucial influence on product quality and have become an active research field with abundant literature. This paper defines the concept of intelligent injection molding as the integral application of these three procedures—sensing, optimization, and control. This paper reviews recent studies on methods for the detection of relevant physical variables, optimization of process parameters, and control strategies of machine variables in the molding process. Finally, conclusions are drawn to discuss future research directions and technologies, as well as algorithms worthy of being explored and developed.

Reduction of Rejection Rate for High Gloss Plastics Product Using Six Sigma Method

2014 ◽  
Vol 606 ◽  
pp. 141-145
Author(s):  
Che Ku Abdullah Che Ku Kairulazam ◽  
M.I. Hussain ◽  
Zuraidah Mohd Zain ◽  
Nabilah A. Lutpi
Keyword(s):  
Injection Molding ◽  
Six Sigma ◽  
Rejection Rate ◽  
Injection Molding Process ◽  
Molding Process ◽  
Sigma Level ◽  
Potential Factors ◽  
High Rejection Rate ◽  
And Control ◽  
Plastic Injection

High gloss plastics part in injection molding industries were widely used in Malaysia. However the high rejection rate in this industries were major problem affecting the economic aspects. Therefore this paper presents an approach of implementing six sigma method to reduce the rejection rate in a plastic injection molding process for high gloss plastics part. Define, Measure, Analyze Improve and Control (DMAIC) methodology was applied as basis of the study. By using current process, the average of rejection is 40.6% and the aim of this study is to reduce the rejection rate to less than 10 % . All potential factors were taken into account to identify the significant factors. The improvement process was made base on the analysis output. This study was successful with increment in sigma level from 1.74 σ to 3.00 σ. .

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.

Processability Testing of Injection Molding Rubber Compounds

1984 ◽  
Vol 57 (4) ◽  
pp. 826-842 ◽  
Author(s):  
John A. Sezna ◽  
P. J. DiMauro
Keyword(s):  
Injection Molding ◽  
Injection Pressure ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Capillary Rheometer ◽  
Excellent Correlation ◽  
Molding Process ◽  
Rubber Compounds ◽  
Using Data ◽  
And Control

Abstract A simple model of the injection molding process has been constructed using data from a capillary rheometer (MPT) and the Oscillating Disk Rheometer (ODR). For an NR and an SBR compound, the model had an excellent correlation with injection molding trials. The model successfully predicted the effects of adjusting injection pressure, mold temperature, and barrel temperature on injection times and scorch conditions. Such a model enables an injection molder to predict the effect of adjusting molding conditions, optimize his process for a given mold and compound, and control processability of his compounds batch-to-batch.

Expert System of Precise Injection Molding Process Optimization Based on Moldflow Software

2009 ◽  
Vol 87-88 ◽  
pp. 451-455
Author(s):  
Peng Cheng Xie ◽  
Bin Du ◽  
Zhi Yun Yan ◽  
Yu Mei Ding ◽  
Wei Min Yang
Keyword(s):  
Expert System ◽  
Injection Molding ◽  
Process Optimization ◽  
Weld Line ◽  
Injection Molding Process ◽  
Molding Process ◽  
Set Up ◽  
And Control

An expert system of precise injection molding process optimization based on Moldflow software was set up in this paper. Expert system of precise injection molding process optimization based on Moldflow-MPI module consist of optimization of packing curve, analyzer of parallelism and coaxiality, analyzer of process optimization and integrative forecaster of weld line. The system can be used in the process optimization of precise injection molding, the forecast and control of product properties, and the flaw elimination of product molding.

scholarly journals Optimal Selection of Equipment for Injection Molding Process using the AHP Method

2019 ◽  
Vol 290 ◽  
pp. 03005
Author(s):  
Adelina Hrițuc ◽  
Margareta Coteață ◽  
Oana Dodun ◽  
Gheorghe Nagîț ◽  
Laurențiu Slătineanu
Keyword(s):  
Injection Molding ◽  
High Efficiency ◽  
Optimal Solution ◽  
Future Research ◽  
Injection Molding Process ◽  
Design Activity ◽  
Ahp Method ◽  
Molding Process ◽  
Analytic Hierarchy ◽  
Processing Technologies

Increased interest in the study of plastics has led to the development of processing technologies using such materials. The variety of plastics has led to a diversification of the technical processes through which the finished plastic products can be obtained. We approached the idea of designing plastic injection equipment, considering that various research could be made on the phenomena involved during the process, as well as the observation of the technological properties of the plastics. To design such equipment, some known methods used in conception processes could be applied. Optimizing the equipment design process is one of the elements that can ensure high efficiency of the entire injection molding process. Thus, the method chosen in this case was the analytic hierarchy process (AHP) method, which is one of the methods that offer the possibility to choose a solution when there are many alternatives. The relative simplicity and precision of this method are some of the arguments behind this method. The combination of required equipment and application of the AHP method allowed the choice of an optimal solution for testing injection molding. The result of design activity was an alternative to equipment that can be used for developing future research.

Filling Behavior of Polymer Material into Sub-^|^mu;m Structure in Injection Molding Process

2013 ◽  
Vol 133 (4) ◽  
pp. 105-111
Author(s):  
Chisato Yoshimura ◽  
Hiroyuki Hosokawa ◽  
Koji Shimojima ◽  
Fumihiro Itoigawa
Keyword(s):  
Injection Molding ◽  
Polymer Material ◽  
Injection Molding Process ◽  
Molding Process

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

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