This dialog enables you to view the data for the gas you are using in the Microcellular Injection Molding process.
| Widget | Explanation |
|---|---|
| Molecular weight of the gas | The molecular weight of the supercritical fluid you are using, in Daltons |
| Surface tension | This surface tension value of the polymer is used when you select the constant bubble nucleation model |
| Viscosity coefficients for gas | The dissolution of gas into the polymer melt will impact the viscosity model used for microcellular injection molding. v1, v2 and v3 are data-fitted viscosity coefficients. |
| Solubility coefficients for gas | The solubility of the gas into the polymer melt can affect both the viscosity of the melt and the bubble size in the finished product and is represented by the gas solubility model. k1 and k2 are data-fitted solubility coefficients. When k2 is zero, then the solubility coefficient will be constant at k1. |
| Diffusion coefficient for gas | The gas that was dissolved in the polymer melt in the initial step of the microcellular injection molding process will diffuse out of the melt in the foaming stage, nucleating and growing bubbles in the process. This process is represented by the gas diffusion model. d1 and d2 are data-fitted diffusion coefficients. When d2 is zero, then the diffusion coefficient is constant at d1. |
| Surface tension (Guggenheim model) |
When the fitted classical bubble nucleation model is selected, the Guggenheim model is used to describe the surface tension. This model takes into account the fact that the surface tension reaches 0 at the critical temperature.
|
| Fitted Classical Nucleation Model parameters | The Fitted Classical Nucleation Model describes the bubble nucleation rate per unit volume and time. F1 and F2 are data-fitted coefficients. |
is a constant for each material.