Paid Diploma / Master's Thesis
Computational Cleaning Validation
Ref.No DA165
To dedicated students of mathematics, physics, chemical engineering, mechanical engineering, and related disciplines, we offer an opportunity to write a paid Diploma/Master's thesis.
Objective:
In the pharmaceutical industry, cleaning of equipment is crucial to avoid contamination of one product with the drug substance from another. Establishing and validating cleaning procedures requires significant effort. However, this work is often carried out in a trial-and-error fashion, which is time-consuming and costly. Suboptimal cleaning procedures are also undesirable from a sustainability perspective as they use excess amounts of solvents and detergents. To establish cleaning procedures faster and design more energy-efficient and solvent-conserving procedures, it is interesting to use predictive tools such as computational fluid dynamics (CFD) to design the cleaning procedure.
You will design a simple procedure to clean a model equipment part and analyze it using CFD. Based on this analysis, you will develop a cleaning model that you will later use to predict how the same cleaning procedure would work when applied to another equipment part. Lastly, you will carry out a cleaning experiment on the latter part to determine to what extent the prediction was correct.
Required Skills:
* Fluid mechanics and transport phenomena, mathematics (ordinary and partial differential equations), thermodynamics.
We offer the following within the framework of this diploma/master's thesis:
* Extensive participation in a top-level and industrially relevant research project in an international environment.
* Supervised training in the task.
* Assistance of experienced staff with the implementation of innovative ideas.
* Access to highly modern infrastructure on the campus of Graz University of Technology.
* Assistance with the publication of results.
Financing:
* Compensation based on a service contract.
If you are interested in writing your thesis at the interface between university research and industry/business and contributing to the optimization of product and process development in the pharmaceutical industry, please contact us indicating the reference number.