Parametric optimization of plastic injection moulding for FMCG polymer moulding (PMMA) using hybrid Taguchi-WASPAS-Ant Lion optimization algorithm

RaviKiran, B.; Pradhan, Deepak Kumar; Jeet, Siddharth; Bagal, Dilip Kumar; Barua, Abhishek; Nayak, Sasmita

doi:10.1016/j.matpr.2021.08.204

Cited by 15 publications

(7 citation statements)

References 20 publications

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“…The heat quickly dissipated from the mold and the part deformation decreased by 37% in the warpage, welding line, and sink mark. As discussed by B. Ravikiran et al [2], the cooling step is the most significant control factor, with a 29.04% contribution that affects the weld line width and sink mark depth. Moreover, these two factors affect the part strength and the optimal cooling time, which could reduce the weld line width and lead to 56.4% and 68.9% sink mark depth and filling ability, respectively, when melting into the cavity.…”

Section: Introductionmentioning

confidence: 97%

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Conformal Cooling Channel Design for Improving Temperature Distribution on the Cavity Surface in the Injection Molding Process

et al. 2023

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Mold heating is an essential process in plastic injection molding. Raising the temperature of the mold before injecting liquefied plastic can ease the mold-filling process. A cooling channel can be used to transport high-temperature fluids for this purpose, such as hot water or oil. This dual purpose is a cost-effective solution for heating the mold because the target temperature is easily achieved using this method. In addition, a conformal cooling channel (CCC) can provide more efficient mold heating than a straight cooling channel. This study used the response surface methodology to determine the optimum CCC shape for heat distribution in a mold, and the simulation results confirmed its optimization. The average temperature of the mold using a CCC was better than that using a straight cooling channel, and the heat zone was uniform across the mold surface.

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Section: Introductionmentioning

confidence: 97%

“…Recently, additive manufacturing (AM) has emerged as a promising manufacturing method that, in many cases, could replace traditional manufacturing methods [1][2][3]. The original material shapes for the AM method are powder or wire, and they are melted and adhered to generate the designed forms.…”

Section: Introductionmentioning

confidence: 99%

Conformal Cooling Channel Design for Improving Temperature Distribution on the Cavity Surface in the Injection Molding Process

et al. 2023

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“…Plastics were introduced in the 1920s, but the process was still very crude, with simple two-piece moulds manually clamped together. Since then, the art and science of plastic injection moulding have advanced significantly [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis on Polypropylene Moulded Part for Performance of Laser Printing

Dumanwad¹,

Kumbhalkar²,

Singh³

2023

3C Tecnología

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Now a day plastic injection molding is widely used process to manufacture engineering product and consumer goods typically thermoplastic is combined with rubber or another thermoplastic like RM master batch is used to add color to the Molded part also the laser marking on plastic part and their printing cut, faint issue observed. The aim of the study was to Optimize the injection parameters and processing condition for the laser performance on polypropylene part. To achieve enhanced dark laser marking on polypropylene, the process parameter of plastic injection molding and the Raw material master batch mixing parameter successfully prepared this laser–sensitive composite consisted of a high Laser induced carbonization rate.in plastic injection molding use of raw material and mixing of master batch is considerable factor for faint laser marking. Because of laser does not respond well on carbonization added material, it was evident that master batch having the carbon properties is much more responsible for faint laser marking issue on polypropylene material part. The effect of laser beam interaction (Nd: YVO4) with selected operational parameters on the Quality of graphical features obtained on the surface of polypropylene-molded pieces with different surface Textures (variable parameters of the surface layer). Polypropylene test specimens were injection molded using original injection molds Products with variable end parameters determined by the position of the cavity circle can be identified. The layout of the laser function, the beneficiary texture of the molded piece, the molded color and the support of the marking piece allow the evaluation of the graphic symbol performance by means of laser marking of the type of master back in their rendering relationship. Marked evaluation criteria were adopted for the project.

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“…They are less expensive than other methods like 3D printing [4,5]. By using the PIM method, a variety of thermoplastics, including ABS, Nylon, PLA, Polycarbonate, PEEK, Polyethylene, Polypropylene, Polystyrene, and Polyvinyl Chloride, are frequently utilized [6]. Fastmoving consumer goods, of which half are produced using plastic, are in high demand in this rapidly 1294 (2023) 012050 IOP Publishing doi:10.1088/1757-899X/1294/1/012050 2 developing global economy [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…By using the PIM method, a variety of thermoplastics, including ABS, Nylon, PLA, Polycarbonate, PEEK, Polyethylene, Polypropylene, Polystyrene, and Polyvinyl Chloride, are frequently utilized [6]. Fastmoving consumer goods, of which half are produced using plastic, are in high demand in this rapidly 1294 (2023) 012050 IOP Publishing doi:10.1088/1757-899X/1294/1/012050 2 developing global economy [6,7]. According to Maarif et al [8], PIM now accounts for around 30% of the global production of products or components made of plastic.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of artificial neural network model and analysis of variance for predicting defect formation in plastic injection moulding processes

Dejene,

Wolla

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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This study investigates the impact of plastic injection moulding process parameters on overflow defect formation. Experiments were conducted using a Taguchi L27 orthogonal array design. Multilayer Perceptron (MLP) artificial neural networks is explored and compared with ANOVA predictions. To assess model performance, the Root Mean Squared Error (RMSE) and the coefficient of determination (R2) is applied. The study considered temperature, speed, pressure, and packing force when constructing the MLP model using the back-propagation algorithm in Python. Results show that among the configured MLP neural networks, the 3-layer MLP architecture with sigmoid activation functions in hidden layers and a linear function in the output layer exhibited the lowest prediction error and the highest coefficient of determination. Comparative analysis reveals that the MLP neural network outperforms the ANOVA model, indicating superior prediction accuracy. The predicted outcomes from the ANN align well with experimental values, demonstrating the effectiveness of the ANN model in forecasting defect formation under specific process conditions. This research sheds light on the significance of process parameters and showcases the potential of MLP neural networks as a valuable tool in predicting and mitigating overflow defects in plastic injection moulding.

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Parametric optimization of plastic injection moulding for FMCG polymer moulding (PMMA) using hybrid Taguchi-WASPAS-Ant Lion optimization algorithm

Cited by 15 publications

References 20 publications

Conformal Cooling Channel Design for Improving Temperature Distribution on the Cavity Surface in the Injection Molding Process

Conformal Cooling Channel Design for Improving Temperature Distribution on the Cavity Surface in the Injection Molding Process

Experimental Analysis on Polypropylene Moulded Part for Performance of Laser Printing

Comparative analysis of artificial neural network model and analysis of variance for predicting defect formation in plastic injection moulding processes

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