Numerical Simulation and Multi-objective Optimization of Injection Molding Parameters for Improving the Quality of Plastic Product

Nguyen, Huu-That; Nguyen, Minh-Quan; Manh, Nguyen Quoc; Vu, Ngoc-Chien

doi:10.1007/978-3-030-99666-6_31

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…For aquaculture and seafood processing fields, the plastic centrifugal pump is widely utilized to transfer liquid due to its resistance to chemical corrosion and lightweight. The pump casing is an essential part of the centrifugal pump, which plays a leading role in fluid flow and significantly affects a pump's efficiency [5]. Commonly, the centrifugal pump casing is fabricated by plastic injection molding technology.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Simulation and Multi-objective Optimization for the Plastic Injection Molding of a Centrifugal Pump Casing

Nguyen,

Nguyen

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Plastic pumps are used to efficiently move liquids within aquaculture systems and seafood processing facilities. Commonly, the centrifugal pump casing is fabricated by plastic injection molding technology. In the plastic injection molding process, the control parameters are essential to the success of plastic molding product fabrication. This study aims to optimize process parameters for the quality of centrifugal pump casing during plastic injection molding using a combination of response surface methodology (RSM) and the NSGA-II method. Firstly, the L27 orthogonal array design of the experiment method is used, which has four input variables, including plastic temperature, mold temperature, cooling time, and injection time (filling time and packing time). The output responses of the injection molding process to be evaluated are the warpage and shrinkage deformation of the molded product. After obtaining data, the RSM model is applied to describe the relationship between the input and output variables. Finally, multi-objective optimization uses the NSGA-II method for the best product quality. The results show that the optimized parameters for injection molding of the centrifugal pump casing are a plastic temperature of 200°C, mold temperature of 65°C, cooling time of 25s, and injection time of 10s with warpage of 0.868 mm, and shrinkage of 10.104mm.

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Section: Introductionmentioning

confidence: 99%

A Numerical Simulation and Multi-objective Optimization for the Plastic Injection Molding of a Centrifugal Pump Casing

Nguyen,

Nguyen

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

Kariminejad,

Tormey,

Ryan

et al. 2024

Sci Rep

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Minimising cycle time without inducing quality defects is a major challenge in injection moulding (IM). Design of Experiment methods (DoE) have been widely studied for optimisation of injection moulding, however existing methods have limitations, including the need for a large number of experiments within a pre-determined search space. Bayesian adaptive design of experiment (ADoE) is an iterative process where the results of the previous experiments are used to make an informed selection for the next design. In this study, an experimental ADoE approach based on Bayesian optimisation was developed for injection moulding using process and sensor data to optimise the quality and cycle time in real-time. A novel approach for the real-time characterisation of post-production shrinkage was introduced, utilising in-mould sensor data on temperature differential during part cooling. This characterisation approach was verified by post-production metrology results. A single and multi-objective optimisation of the cycle time and temperature differential ($$\Delta T$$) in an injection moulded component is proposed. The multi-objective optimisation techniques, composite desirability function and Nondominated Sorting Genetic Algorithm (NSGA-II) using the Response Surface Methodology (RSM) model, are compared with the real-time novel ADoE approach. ADoE achieved almost a 50$$\%$$ reduction in the number of experiments required for the single optimisation of $$\Delta T$$, and an almost 30$$\%$$ decrease for the optimisation of $$\Delta T$$ and cycle time together compared to composite desirability function and NSGA-II. The optimal settings identified by ADoE for multiobjective optimisation were similar to the selected Pareto optimal solution found by NSGA-II.

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Numerical Simulation and Multi-objective Optimization of Injection Molding Parameters for Improving the Quality of Plastic Product

Cited by 2 publications

References 4 publications

A Numerical Simulation and Multi-objective Optimization for the Plastic Injection Molding of a Centrifugal Pump Casing

A Numerical Simulation and Multi-objective Optimization for the Plastic Injection Molding of a Centrifugal Pump Casing

Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

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