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moldflow 2018  (Autodesk Inc)

 
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    Autodesk Inc moldflow 2018
    Moldflow 2018, supplied by Autodesk Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/moldflow+2018/moldflow+2018/pmc10856816-96-7-11
    Average 90 stars, based on 1 article reviews
    moldflow 2018 - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Morphology Distribution in Injection Molded Parts
    Article Snippet: The injection molding process was simulated with Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, USA) according to the conditions reported in to obtain spherulite dimensions.

    In Situ:

    Article Title: In situ flow state characterization of molten resin at the inner mold in injection molding
    Article Snippet: Funding information Institute of Robotics at Zhejiang University, Grant/Award Number: K12105; Key R&D Plan and “Unveiling and Commanding” Project of Yuyao City, Grant/Award Number: 2023JH03010002; National Natural Science Foundation of China, Grant/Award Number: 52073247; Special Innovation Fund of Zhejiang University, Ningbo, Grant/Award Number: 702002J20211109 Abstract Online viscosity information on processing lines can reflect the material flow resistance and offer valuable guidance for manufacturing across various industries.. Considering the accuracy, devices, and processes involved in injection molding, characterizing the melt's flow state during material processing poses a significant challenge.. To reduce investment in viscometers, avoid influencing the components' surface aesthetics due to the installation of sensors, and make the flow state detect online in mold, this study designs a rheometric mold with cylindrical runners for identifying the in situ viscosity of molten resin during injection molding.

    Viscosity:

    Article Title: In situ flow state characterization of molten resin at the inner mold in injection molding
    Article Snippet: Funding information Institute of Robotics at Zhejiang University, Grant/Award Number: K12105; Key R&D Plan and “Unveiling and Commanding” Project of Yuyao City, Grant/Award Number: 2023JH03010002; National Natural Science Foundation of China, Grant/Award Number: 52073247; Special Innovation Fund of Zhejiang University, Ningbo, Grant/Award Number: 702002J20211109 Abstract Online viscosity information on processing lines can reflect the material flow resistance and offer valuable guidance for manufacturing across various industries.. Considering the accuracy, devices, and processes involved in injection molding, characterizing the melt's flow state during material processing poses a significant challenge.. To reduce investment in viscometers, avoid influencing the components' surface aesthetics due to the installation of sensors, and make the flow state detect online in mold, this study designs a rheometric mold with cylindrical runners for identifying the in situ viscosity of molten resin during injection molding.



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    Image Search Results


    Temperature evolution for cases S ( a ) and 413_FA ( b ) as recorded during the injection molding test (T rec ) and calculated by Moldflow simulations (T MF ) at the cavity surface.

    Journal: Polymers

    Article Title: Modeling and Analysis of Morphology of Injection Molding Polypropylene Parts Induced by In-Mold Annealing

    doi: 10.3390/polym14235245

    Figure Lengend Snippet: Temperature evolution for cases S ( a ) and 413_FA ( b ) as recorded during the injection molding test (T rec ) and calculated by Moldflow simulations (T MF ) at the cavity surface.

    Article Snippet: Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, US) was adopted for the simulations of the injection molding process in the conditions reported in with the main purpose of describing shear rate and temperature distributions along the cavity thickness at several positions along the flow path.

    Techniques: Injection

    Temperature, shear rate, molecular stretch, and crystallinity evolutions for case 413_FA at 0.465 ( a – c ) and 0.06 ( b – d ) normalized distances from the midplane 10 mm from the gate. Crystallinity predictions calculated by Moldflow are also shown in ( d ) as the blue line.

    Journal: Polymers

    Article Title: Modeling and Analysis of Morphology of Injection Molding Polypropylene Parts Induced by In-Mold Annealing

    doi: 10.3390/polym14235245

    Figure Lengend Snippet: Temperature, shear rate, molecular stretch, and crystallinity evolutions for case 413_FA at 0.465 ( a – c ) and 0.06 ( b – d ) normalized distances from the midplane 10 mm from the gate. Crystallinity predictions calculated by Moldflow are also shown in ( d ) as the blue line.

    Article Snippet: Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, US) was adopted for the simulations of the injection molding process in the conditions reported in with the main purpose of describing shear rate and temperature distributions along the cavity thickness at several positions along the flow path.

    Techniques: Shear

    Temperature, shear rate, molecular stretch, and crystallinity evolutions for case 433_FA at 0.5 ( a – c ) and 0.06 ( b – d ) normalized distances from the midplane at 10 mm from the gate. Crystallinity predictions calculated by Moldflow are also shown in ( d ) as the blue line.

    Journal: Polymers

    Article Title: Modeling and Analysis of Morphology of Injection Molding Polypropylene Parts Induced by In-Mold Annealing

    doi: 10.3390/polym14235245

    Figure Lengend Snippet: Temperature, shear rate, molecular stretch, and crystallinity evolutions for case 433_FA at 0.5 ( a – c ) and 0.06 ( b – d ) normalized distances from the midplane at 10 mm from the gate. Crystallinity predictions calculated by Moldflow are also shown in ( d ) as the blue line.

    Article Snippet: Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, US) was adopted for the simulations of the injection molding process in the conditions reported in with the main purpose of describing shear rate and temperature distributions along the cavity thickness at several positions along the flow path.

    Techniques: Shear

    Comparison between ( a ) temperature and ( b ) crystallinity evolutions calculated by Moldflow simulations and by the model at 0.06 normalized distance from the midplane for the cases 413_SA and 433_SA.

    Journal: Polymers

    Article Title: Modeling and Analysis of Morphology of Injection Molding Polypropylene Parts Induced by In-Mold Annealing

    doi: 10.3390/polym14235245

    Figure Lengend Snippet: Comparison between ( a ) temperature and ( b ) crystallinity evolutions calculated by Moldflow simulations and by the model at 0.06 normalized distance from the midplane for the cases 413_SA and 433_SA.

    Article Snippet: Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, US) was adopted for the simulations of the injection molding process in the conditions reported in with the main purpose of describing shear rate and temperature distributions along the cavity thickness at several positions along the flow path.

    Techniques: Comparison

    Spherulitic average radii measured from SEM analyses (R exp ), obtained from Moldflow simulations (R MF ), and radii calculated adopting the model reported in this work (R calc ).

    Journal: Polymers

    Article Title: Modeling and Analysis of Morphology of Injection Molding Polypropylene Parts Induced by In-Mold Annealing

    doi: 10.3390/polym14235245

    Figure Lengend Snippet: Spherulitic average radii measured from SEM analyses (R exp ), obtained from Moldflow simulations (R MF ), and radii calculated adopting the model reported in this work (R calc ).

    Article Snippet: Moldflow software (Moldflow 2018, Autodesk Inc., San Rafael, CA, US) was adopted for the simulations of the injection molding process in the conditions reported in with the main purpose of describing shear rate and temperature distributions along the cavity thickness at several positions along the flow path.

    Techniques: