0D Polymer Dissolution Model: Development & Validation

IFP Energies nouvelles - Lyon; Solaize; In loco; EUR 12.000 - 14.000; Tempo pieno

Descrizione del lavoro

IFP Energies nouvelles - Lyon invites applications for an internship to develop a 0D model of polymer dissolution based on global mass balances and a Shrinking Core Model approach. The work blends physical modeling, numerical simulation, and analysis of experimental data at IFPEN Lyon.

The role involves literature review, deriving equations, implementing a numerical model, and parameter estimation, with a focus on predicting dissolution kinetics and assisting process optimization.

Competenze

• Experience with numerical computing tools such as Python, MATLAB, or equivalent software.
• Interest in modeling and transport phenomena, with knowledge of mass balances, mass transfer, diffusion, and differential equations.

Mansioni

• Review literature on polymer dissolution and related transport phenomena.
• Identify main physical mechanisms governing dissolution processes.
• Derive governing equations for polymer mass, size evolution, concentrations and interfacial area.
• Develop a 0D numerical model accounting for mass transfer, diffusion, size evolution and droplet break-up.
• Implement and solve the resulting system of differential equations.
• Estimate transport and model parameters from experimental data at IFPEN.
• Compare model predictions with experiments and assess performance.
• Perform sensitivity analyses to identify dominant mechanisms and key parameters.

Conoscenze

Python

MATLAB

Strumenti

Python

MATLAB

Descrizione del lavoro

IFP Energies nouvelles - Lyon invites applications for an internship to develop a 0D model of polymer dissolution based on global mass balances and a Shrinking Core Model approach. The work blends physical modeling, numerical simulation, and analysis of experimental data at IFPEN Lyon.

The role involves literature review, deriving equations, implementing a numerical model, and parameter estimation, with a focus on predicting dissolution kinetics and assisting process optimization.