In cooperation with the Institute of Automation and Control, Graz University of Technology, we offer the following
Paid Diploma / Master's Thesis
Development of control concepts for a continuous pharmaceutical manufacturing lineRef.No DA169
To dedicated students of electrical engineering, digital engineering, information and computer engineering, mechanical engineering, physics, chemical and process engineering, or related disciplines.
Objective
The ConsiGmaTM-25 is an industry-scale from-powder-to-tablet pharmaceutical manufacturing line. The line integrates the following unit operations: twin screw granulation (to produce wet granules), drying (to dry the wet granules), granule-conditioning (to break the large granules and add powders needed for tableting), and tablet press (to produce tablets). The innovative sensors monitoring critical quality attributes (CQA) have been installed and the artificial intelligence (AI) and machine learning (ML) process models linking the process settings and CQAs have been developed. The objective of this thesis is to integrate the process models that are currently available to design a model predictive controller (MPC).
Possible topics (depending on the student's personal interest):
Development of MPC in a simulation environmentComparison of MPC performance for different AI/ML process modelsImprovement of MPC performance with a fault detection algorithmApplication of the most promising concepts on the industry-scale manufacturing lineWithing the framework of this diploma / master’s thesis we offer the following:
Extensive participation in a top-level and industrially relevant research project in an international environment https://www.capri-project.com/Supervised training in the taskAssistance of experienced staff with the implementation of innovative ideasAccess to highly modern infrastructure on campus of Graz University of TechnologyAssistance with the publication of results
Financing
Compensation on the basis of a service contract
If you are interested in writing your thesis at the interface between university research and industry/ business and to contribute to the optimization of product and process development in the pharmaceutical industry, please contact us indicating the reference number.
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