Determination of Optimal Process Parameters for Plastic Injection Molding of Polymer Materials Using Multi-Objective Optimization

Öktem, Hasan; Shinde, Dinesh

doi:10.1007/s11665-021-06029-z

Cited by 15 publications

(9 citation statements)

References 30 publications

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“…Except crystal microstructures, the cavitation phenomenon [42,43] at the higher ultrasonic powers may also contribute to the decreasing tensile strength, in which the growth and collapse of microbubbles during injection molding can generate shear force to cause scission of polymer chains. With the increase in ultrasonic power, the quantity and the size of microbubbles increase that enhance the cavitation activity [13] and further weaken the tensile strength. Except the scission of polymer chains, crack propagation may also lead to the decrease in the tensile strength.…”

Section: Effects Of Ultrasonic Vibration On Tensile Strength and Crys...mentioning

confidence: 99%

“…They found that melt temperature, holding pressure, and time of holding pressure can affect the mechanical properties. In addition, ultrasonic vibration has been introduced into injection molding to fabricate parts from different polymers such as polyethylene, [ 13 ] polylactide, [ 14 ] and polypropylene. [ 15,16 ] During ultrasonic vibration‐assisted injection molding, the rheological properties of polymer melts can be affected by ultrasonic vibration.…”

Section: Introductionmentioning

confidence: 99%

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Effects of process conditions on tensile strength and crystallinity of polymeric parts fabricated using ultrasonic vibration‐assisted injection molding

Liu

Zhao

Hua

et al. 2022

Polymer Engineering & Sci

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Polymeric parts have been widely used for various applications and injection molding is one of the most commonly used approaches to fabricate polymeric parts. Both the mechanical properties and microstructures of fabricated parts are severely affected by the process conditions. In this article, polyamide (PA66) was selected as the exemplary polymer to make dogbone-shaped polymeric specimens. First, the effects of key process parameters including melt temperature, mold temperature, injection pressure, and injection speed on the tensile strength and crystallinity of the specimens were systematically investigated. Then, the effects of external ultrasonic vibration field on the mechanical properties and microstructures were studied using tensile tests, X-ray diffraction, and polarizing light microscope imaging. After that, the orthogonal experiments were designed to analyze the affecting extent of each process parameter and achieve the optimal combination of the process parameters. Finally, using the optimal process conditions, the polymeric part with the best tensile strength and crystallinity was successfully fabricated. The knowledge from this article can be expanded to the injection molding of polymeric parts from other polymers, unveiling the mechanisms during fabrication and providing guidelines for the selection of optimal process conditions in the future.

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Section: Effects Of Ultrasonic Vibration On Tensile Strength and Crys...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of process conditions on tensile strength and crystallinity of polymeric parts fabricated using ultrasonic vibration‐assisted injection molding

Liu

Zhao

Hua

et al. 2022

Polymer Engineering & Sci

View full text Add to dashboard Cite

show abstract

“…As an essential process of production and because of mold and product design, in [31], the authors perform a study about Taguchi's design of experiments to determine the optimal process parameters for injection molding to determinate mainly melt temperature, injection pressures, packing pressures, packing time, and cooling time.…”

Section: Methodology To Implement Cae Validationmentioning

confidence: 99%

Methodology to implement CAE validation in repair & redesign parts process of plastic injection molds

et al. 2022

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Repairs and redesigns for plastic injection molding parts generally is a short and straightforward process consisting of inspection, modeling, and evaluation. The present paper implements a methodology for redesigning and repairing injection molding parts based on the frontal process for developing concepts. The proposed methodology helps in the validation through Computer-Aided Engineering (CAE) in the designing stage using CAD software, ensuring the quality of the repair. Furthermore, the redesigned development has been carried out in the best way to obtain a better cooling, robustness, or plastic flow. In this research is implemented the proposed methodology in a Hot Runner System. Furthermore, a numerical simulation for three cases to evaluate the heat transfer and cooling times performed, finding the main differences in heat transfer due to drilled or milled rectangular channels, minimizing the time to reach ejection temperature and mold/part temperatures.

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“…One is the global optimization method combining optimization algorithm and surrogate model, named SMOA; the other is the method using a multi-criterial decision method to search the best solution among all sample points, named MCDM (Table 1 ). To be more specific: In order to obtain the global optimal solution, many optimization algorithms are proposed, such as: genetic algorithm (GA) 19 , non-dominated sorting genetic algorithm (NSGA-II) 20 , multi-objective particle swarm optimization algorithm (MOPSO) 21 , multi-objective genetic algorithm (MOGA) 22 , etc. In order to reduce the experimental workload and improve the optimization efficiency, a large number of surrogate models are adopted.…”

Section: Introductionmentioning

confidence: 99%

“…In order to obtain the global optimal solution, many optimization algorithms are proposed, such as: genetic algorithm (GA) 19 , non-dominated sorting genetic algorithm (NSGA-II) 20 , multi-objective particle swarm optimization algorithm (MOPSO) 21 , multi-objective genetic algorithm (MOGA) 22 , etc.…”

Section: Introductionmentioning

confidence: 99%

A new fuzzy rule based multi-objective optimization method for cross-scale injection molding of protein electrophoresis microfluidic chips

Shan

Lei

et al. 2022

Sci Rep

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Injection molding is one of the most promising technologies for the large-scale production and application of polymeric microfluidic chips. The multi-objective optimization of injection molding process for substrate and cover plate on protein electrophoresis microfluidic chip is performed to solve the problem that the forming precision is difficult to coordinate because of the cross-scale structure characteristics for chip in this paper. The innovation for this research is that an optimization approach and a detailed fuzzy rule determination method are proposed in multi-objective optimization for protein electrophoresis microfluidic chip. In more detail, firstly, according to the number and level of process parameters, the orthogonal experimental design is carried out. Then, the experiments are performed. Secondly, the grey relational analysis (GRA) approach is employed to process the response data to gain the grey relational coefficient (GRC). Thirdly, the grey fuzzy decision making method which combines triangular membership function and gaussian membership function is adopted to obtain the grey fuzzy grade (GFG). After that, the optimal scheme of process parameters was predicted by the grey fuzzy grade analysis. Finally, the superiority of Taguchi grey fuzzy decision making method are verified by comparing the results of original scheme, optimal scheme and prediction scheme. As a result, compared with the original design, the residual stress of substrate plate (RSS), residual stress of cover plate (RSC), warpage of substrate plate (WS), warpage of cover plate (WC) and replication fidelity of microchannel for substrate plate (RFM) on the prediction scheme for Taguchi grey fuzzy decision making method were reduced by 32.816%, 29.977%, 88.571%, 74.390% and 46.453%, respectively.

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Determination of Optimal Process Parameters for Plastic Injection Molding of Polymer Materials Using Multi-Objective Optimization

Cited by 15 publications

References 30 publications

Effects of process conditions on tensile strength and crystallinity of polymeric parts fabricated using ultrasonic vibration‐assisted injection molding

Effects of process conditions on tensile strength and crystallinity of polymeric parts fabricated using ultrasonic vibration‐assisted injection molding

Methodology to implement CAE validation in repair & redesign parts process of plastic injection molds

A new fuzzy rule based multi-objective optimization method for cross-scale injection molding of protein electrophoresis microfluidic chips

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