Design and analysis of 25 T injection molding machine

Patil, Deepak C.; Nagaraj, K.; Janawade, Sanjeev; Mishrikoti, Mahesh S.

doi:10.1016/j.matpr.2021.02.262

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The pressure generated by pushing causes the hot melt to be injected into the mold cavity, and the hot melt can be formed into a geometric product. The finished product can be obtained after cooling and demolding (Patil et al 2021). The three chief elements of plastic injection molding are injection molding machines, plastic raw materials and molds.…”

Section: Injection Molding Machinementioning

confidence: 99%

AI-Enhanced Audio-Based Predictive Control for Injection Molding Machines in the Era of IoT

Huang,

Chen,

Kanga

et al. 2024

Preprint

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In the past, most of traditional master craftsmen always adopted the acoustic actions to recognition the situation of machine. Along with the development of time and technology, the mode of industry has changed with the Fourth Industrial Revolution (Industry 4.0). The long been known for the mother of industry, mold industry, has been inevitably impacted by Industry 4.0. This research stems from the structure of the six-level IoT model, through Internet connecting sensors, data collection, and the appropriate implementation of human and machine interface to intellectualize the injection molding machine. This research has collected 130 times of audio frequency, and there were 53 effective data sets, in sum there were 34,030,640 datasets. There were 5 manufacturing actions of petroleum molding machines that were successfully identified. Due to the low accuracy of one of the manufacturing actions, the training of audio frequency is based on the other four. In the end, there are 93.64% of accurate AI intelligent identifying models. Concurrently, through labeling the audio characteristics of different manufacturing parameters, the model recognizing audio characteristics from injection molding machines under different injection speed and rotation speed parameters is successfully trained. It is expected that in the future, other researchers can use this research as a reference to further strengthen the correlation between audio characteristics and injection molding machines to engage a more in-depth and diverse application of this topic. JEL Classification: C80, C88, C90.

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Section: Injection Molding Machinementioning

confidence: 99%

AI-Enhanced Audio-Based Predictive Control for Injection Molding Machines in the Era of IoT

Huang,

Chen,

Kanga

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Despite developing other manufacturing methods and techniques, injection molding is still frequently utilized to create numerous products (Wang et al, 2022;Patil et al, 2021). Intricate forms may be developed using the injection molding method's high pressure (Nagasundaram et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Computational Analysis of Polymer Melt Filling in a Medical Mold Cavity During the Injection Molding Process

Abdullah¹,

Rusdi²,

Abdullah³

et al. 2022

JST

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This study describes the results of a mold filling simulation analysis of a medical syringe performed during the thermoplastic injection molding process, which was performed using a computational Fluid Dynamic Simulation (CFD) with the Volume of Fluid Method (VOF). ANSYS Fluent was used for analysis and data collection. Medical grade polypropylene (PP) is considered in this study. The studies consider physical parameters (such as inlet position and syringe thickness) of the injection molding process. The outlet vent must be placed as far away from the inlet as possible to root out entrapped air and allow the molten PP to occupy the mold cavity. The findings revealed that syringe thicknesses ranging from 0.75 mm to 1.00 mm resulted in increased flow velocity, shorter filling time, and faster flow front advancement.

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Design of the tie bar for the 250 tonne injection moulding machine

Vegad

2024

4th Symposium on Industrial Science and Technology (Sistec2022)

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Design and analysis of 25 T injection molding machine

Cited by 4 publications

References 7 publications

AI-Enhanced Audio-Based Predictive Control for Injection Molding Machines in the Era of IoT

AI-Enhanced Audio-Based Predictive Control for Injection Molding Machines in the Era of IoT

Computational Analysis of Polymer Melt Filling in a Medical Mold Cavity During the Injection Molding Process

Design of the tie bar for the 250 tonne injection moulding machine

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