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:

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Schema for correcting geometry to reduce warpage: ( A ) initial mold geometry results with warped molded part; ( B ) reverse molded part modeling in opposite direction, ( C ) designing mold based on reversed geometry results with final molded part geometry with minimal warpage (adapted from , Wiley, 2024).

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques:

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Reference molded part CAD geometry.

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques:

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Surface Comparison of initial warped part geometry with reference CAD geometry.

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques: Comparison

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Surface Comparison of RSM-optimized warped part geometry with reference CAD geometry.

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques: Comparison

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Redesigning molded part for moldabilty (red circles present the undercut area of the molded part): ( a ) warped geometry preventing slide from being pulled out from molded part: problematic area for ejection (left); result of surface analysis—darker green colored surfaces (with negative angle) inside the part represent undercuts in slide stroke direction (right). ( b ) Redesigned surfaces allowing smooth molded part ejection: view of redesigned surface (left), surface analysis of redesigned surface (right).

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques:

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Results of Warp analysis with inverse-contoured molded part geometry.

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques:

Journal: Polymers

Article Title: Molded Part Warpage Optimization Using Inverse Contouring Method

doi: 10.3390/polym17172278

Figure Lengend Snippet: Surface deviation labels (deviations between reference CAD model and warped inverse-contoured part geometry): ( a ) upper view, ( b ) bottom view.

Article Snippet: In this step, the manually redesigned (inverse-contoured) warped molded part geometry was exported to Autodesk Moldflow Insight to carry out a final simulation process.

Techniques: