Journal: Polymers

Article Title: Analysis of the Similarity between Injection Molding Simulation and Experiment

doi: 10.3390/polym16091265

Figure Lengend Snippet: Comparison of the pvT data measured with the HCR and the 2-Domain Tait model fitted based on HCR data and those provided by Moldflow.

Article Snippet: Subsequently the pvT and viscosity data were compared with those provided by BASF and stored in the Moldflow database.

Techniques: Comparison

Journal: Polymers

Article Title: Analysis of the Similarity between Injection Molding Simulation and Experiment

doi: 10.3390/polym16091265

Figure Lengend Snippet: Comparison of the viscosities measured with the HCR and the Cross-WLF models fitted based on the HCR data and those provided by Moldflow.

Article Snippet: Subsequently the pvT and viscosity data were compared with those provided by BASF and stored in the Moldflow database.

Techniques: Comparison

Journal: Polymers

Article Title: Analysis of the Similarity between Injection Molding Simulation and Experiment

doi: 10.3390/polym16091265

Figure Lengend Snippet: Comparison of the thermal conductivity measured and those provided by Moldflow.

Article Snippet: Subsequently the pvT and viscosity data were compared with those provided by BASF and stored in the Moldflow database.

Techniques: Comparison

Journal: Polymers

Article Title: Analysis of the Similarity between Injection Molding Simulation and Experiment

doi: 10.3390/polym16091265

Figure Lengend Snippet: Comparison of the time series of the flow rate, cavity pressure and injection pressure measured in the experiment with the time series calculated in the simulation using the material data card from Moldflow and the material data fitted.

Article Snippet: Subsequently the pvT and viscosity data were compared with those provided by BASF and stored in the Moldflow database.

Techniques: Comparison, Injection

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Moldflow crystallization morphology tab for thermoplastic materials. All the parameters discussed in this work must be inserted in this tab.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Crystallization Assay

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Comparison between nucleation density N as calculated for T30G UNISA experimental model (solid black line) and for Moldflow (dotted red line). The vertical line identifies the temperature at which the values predicted by the two equations differ by a factor two.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Comparison

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Comparison between half crystallization time calculated with N and G for T30G UNISA experimental model (solid black line) and N and G calculated according to Moldflow equations (dotted red line). The vertical line identifies the temperature at which the values predicted by the two models differ by a factor two.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Comparison, Crystallization Assay

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Crystallinity evolution as obtained by Moldflow simulation and by UNISA experimental model simulation for samples obtained at 25 °C mold temperature. For the same test, temperature evolution calculated with Moldflow is shown. Crystallinity and temperature are calculated at 10 mm from the gate and 0.86 normalized distance (0 corresponds to midplane and 1 to cavity wall) from the sample midplane.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques:

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Crystallinity evolution as obtained by Moldflow simulation (MDF) and by experimental model (UNISA) for samples obtained at 25 °C mold temperature at 10 mm from the gate for three positions along thickness: wall, 0.86 and midplane ( a ); temperature evolution for the three positions analyzed and pressure profile at injection point calculated by Moldflow ( b ).

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Injection

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Temperature and crystallinity evolutions calculated by Moldflow simulations, at 10 mm from the rectangular cavity entrance at a 0.06 normalized distance from the midplane, for the sample obtained by two-step annealing protocol.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques:

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Optical image of spherulites inside the sample obtained with two-step annealing protocol reported in . x = flow direction, y = thickness direction. The yellow lines indicate examples of spherulite boundaries. Comparison between experimental spherulitic average diameter and as obtained from Moldflow simulations is reported in the insight.

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Comparison

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Comparison between crystallinity evolutions calculated by Moldflow adopting the parameters of (solid line) and by the UNISA-POM model simulations (symbols) at different isothermal temperatures: 151 °C ( a ); 154 °C ( b ); 156 °C ( c ). Comparison between experimental half crystallization times and values calculated with Moldflow isothermal simulations ( d ).

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: Comparison, Crystallization Assay

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Crystallinity evolution calculated by Moldflow simulations at 156 °C in two conditions: nucleation that takes into account of both heterogenous and homogenous mechanisms (solid line), and nucleation that considers only the heterogenous mechanism (dashed line).

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques:

Journal: Polymers

Article Title: Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM

doi: 10.3390/polym18040482

Figure Lengend Snippet: Temperature and crystallinity evolutions calculated by Moldflow simulations at 0.55 mm from the wall (solid lines) and crystallinity predictions from UNISA-POM model (dotted line).

Article Snippet: Injection molding simulations of both materials (iPP and POM) were performed with Moldflow software (Moldflow Insight Ultimate 2018, Autodesk Inc., San Rafael, CA, USA).

Techniques: