Numerical Optimization of Shrinkage and Warpage on the Injection Molding Process Parameters of Electrical Connector

Wang, Yun; Chen, Li Yu; Yang, Xia; Zhao, Yan; Xu, Zhiwu; Wang, Xue Peng

doi:10.4028/www.scientific.net/amm.868.183

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…If the existing heat and pressure is continued, it will produce a chemical reaction that can harden the thermosetting material. A mold for thermosetting materials is subjected to heat between 3000 -3590 F (1490 -1820 C) and a molding pressure between 11 bar [5].…”

Section: Literature Reviewmentioning

confidence: 99%

The Effect of Heating and Cooling Media Temperature on Injection Molding Products Shrinkage

Gumono¹,

AR²,

Sujatmiko³

et al. 2023

ajse

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Injection molding is the process of molding products with various shapes and sizes from plastic materials. The problem that often arises is the presence of product defects due to shrinkage. In this regard, the effect of water cooling on product size shrinkage in the injection molding process of making acetabular cups with polypropylene plastic and metal steel mold materials will be investigated through experimental investigations. The test begins with the manufacture of molds and injection machines, then the PP liquid plastic is injected twice into the mold, the first with cooling and the second without cooling. Both products are compared for depreciation by measurement. Shrinkage analysis is done by measuring the height and diameter of the product which is then compared with the size of the mold, so that final conclusions can be drawn. Measurement of shrinkage on the outside of the product is taken from three directions, namely the height of the X-axis product (dx), the outside diameter of the Y-axis product (dy), and the outside diameter of the Z-axis product (hz). For the inside of the product with a hemispherical shape, the shrinkage measurement is calculated by calculating the volume which can then be found the average radius. The results showed that the average shrinkage of the cooling test on the X axis = 1.224 %, on the Y axis = 1.857 %, on the Z axis = 1.83%, and on the radius r = 0.825 %. The average shrinkage of the test without cooling on the X axis = 1,591 %, on the Y axis = 2,32%, on the Z axis = 2,369 %, and on the radius r = 1,267 %. Keywords: Injection Molding, Shrinkage, Heating Cooling Temperature

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Section: Literature Reviewmentioning

confidence: 99%

The Effect of Heating and Cooling Media Temperature on Injection Molding Products Shrinkage

Gumono¹,

AR²,

Sujatmiko³

et al. 2023

ajse

View full text Add to dashboard Cite

show abstract

“…[4,5]. e distinct localized shrinkage commonly results from a local thick-wall structure, such as ribs, bosses, and other similar structures [3,6], which is also greatly affected by the process parameters in injection molding [7][8][9], including the melt temperature [10][11][12], packing pressure [13,14], packing time [15], cooling time [16], injection pressure [17], and injection speed [18].…”

Section: Introductionmentioning

confidence: 99%

Reducing the Sink Marks of a Crystalline Polymer Using External Gas-Assisted Injection Molding

Jiang

Xia

et al. 2020

Advances in Polymer Technology

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External gas-assisted injection molding (EGAIM) has been used to reduce the sink marks of amorphous polymer products, but that of crystalline polymer products has not yet been reported. EGAIM of a crystalline polymer product was investigated in this study, and the influences of process parameters on the sink marks were discussed based on experiments. An isotactic polypropylene (iPP) product was fabricated by EGAIM under different process conditions. A uniform design was applied as an experimental design to investigate the influences of the process parameters on the sink marks. A regression equation was established to describe the quantitative relationship between the important parameters and sink marks in which a data-processing method was applied to determine the optimal value of Fα at significant level α to reduce the possibility of omission of some important parameters. The results show that EGAIM was effective in reducing the sink marks in these iPP products, and the most important parameters were the cooling time, gas pressure, and gas time. This study also provides the quantitative relationship between the important parameters and sink marks as reference for the research of EGAIM on crystalline polymer.

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A hybrid back-propagation neural network and intelligent algorithm combined algorithm for optimizing microcellular foaming injection molding process parameters

Guo

Deng

Meng

et al. 2020

Journal of Manufacturing Processes

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Numerical Optimization of Shrinkage and Warpage on the Injection Molding Process Parameters of Electrical Connector

Cited by 3 publications

References 9 publications

The Effect of Heating and Cooling Media Temperature on Injection Molding Products Shrinkage

The Effect of Heating and Cooling Media Temperature on Injection Molding Products Shrinkage

Reducing the Sink Marks of a Crystalline Polymer Using External Gas-Assisted Injection Molding

A hybrid back-propagation neural network and intelligent algorithm combined algorithm for optimizing microcellular foaming injection molding process parameters

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