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Multidisciplinary robust and reliability-based design optimization of injection molding system.

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Název: Multidisciplinary robust and reliability-based design optimization of injection molding system.
Autoři: Hasan, Nazmul, Sarker, Pramiti, Zaman, Kais
Zdroj: International Journal on Interactive Design & Manufacturing; Dec2023, Vol. 17 Issue 6, p2957-2975, 19p
Abstrakt: Even a slight reduction in production cost can make a huge impact in a mass manufacturing domain like injection molding. In this paper, we proposed design modifications to the conventional multi-cavity injection mold insert for the reduction of overall mold material costs required for molding a part family. Additionally, the reduced size of the proposed insert makes it more suitable to manufacture it using metal additive manufacturing and exploit the associated benefits. We also provided formulations to minimize cycle time and pressure drop of the melt simultaneously in the modified design using integrated multi-objective optimization and multidisciplinary design optimization framework. The proposed flexible multi-cavity-inserts are designed to mold multiple part family members whose geometric dimensions are allowed to vary within a permissible limit. Hence, there exists uncertainty in the input variables. Two approaches: robustness-based design optimization and reliability-based design optimization are used to handle the uncertainty in the input variables. A case study is presented to numerically illustrate the implementation of the proposed optimization frameworks. Our formulations provide Pareto optimal design options for the flexible multi-cavity-insert that will open opportunities to produce small plastic parts having dimensional similarity economically. [ABSTRACT FROM AUTHOR]
Copyright of International Journal on Interactive Design & Manufacturing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Multidisciplinary robust and reliability-based design optimization of injection molding system.
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  Data: <searchLink fieldCode="AR" term="%22Hasan%2C+Nazmul%22">Hasan, Nazmul</searchLink><br /><searchLink fieldCode="AR" term="%22Sarker%2C+Pramiti%22">Sarker, Pramiti</searchLink><br /><searchLink fieldCode="AR" term="%22Zaman%2C+Kais%22">Zaman, Kais</searchLink>
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  Data: International Journal on Interactive Design & Manufacturing; Dec2023, Vol. 17 Issue 6, p2957-2975, 19p
– Name: Abstract
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  Group: Ab
  Data: Even a slight reduction in production cost can make a huge impact in a mass manufacturing domain like injection molding. In this paper, we proposed design modifications to the conventional multi-cavity injection mold insert for the reduction of overall mold material costs required for molding a part family. Additionally, the reduced size of the proposed insert makes it more suitable to manufacture it using metal additive manufacturing and exploit the associated benefits. We also provided formulations to minimize cycle time and pressure drop of the melt simultaneously in the modified design using integrated multi-objective optimization and multidisciplinary design optimization framework. The proposed flexible multi-cavity-inserts are designed to mold multiple part family members whose geometric dimensions are allowed to vary within a permissible limit. Hence, there exists uncertainty in the input variables. Two approaches: robustness-based design optimization and reliability-based design optimization are used to handle the uncertainty in the input variables. A case study is presented to numerically illustrate the implementation of the proposed optimization frameworks. Our formulations provide Pareto optimal design options for the flexible multi-cavity-insert that will open opportunities to produce small plastic parts having dimensional similarity economically. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal on Interactive Design & Manufacturing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s12008-022-01139-x
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              Text: Dec2023
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