Mohammadreza Aali

Mohammadreza Aali is a Researcher at the Institute of Polymer Processing and Digital Transformation, Johannes Kepler University Linz, Austria. His work focuses on advancing polymer manufacturing through computational modeling and digital transformation, with active involvement in European and Austrian-funded research projects.

Dr. Aali's research spans polymer processing, computational fluid dynamics, and digital transformation in manufacturing. Key areas include viscoelastic material behavior analysis, centrifugal drying system optimization for pelletizing, and extrusion die design enhancement using high-performance computing. His methodologies integrate OpenFOAM, DEM-MPS coupling, and advanced simulation techniques to improve process efficiency and product quality in industrial polymer applications.

Recent publications (2024-2025) demonstrate a concentrated focus on computational solutions for polymer processing challenges. Works cover force/torque calculations for viscoelastic materials, drying efficiency optimization, digitalization techniques, and extrusion die design, appearing in journals like Polymers and International Polymer Processing. These publications highlight interdisciplinary research at the intersection of materials science, mechanical engineering, and computational methods.

Dr. Aali currently contributes to the Pro2Future CoExCo 2 project (2021-2025), funded by the Austrian Research Promotion Agency (FFG), and previously participated in an EU-funded PVC extrusion project (2023-2024). His research portfolio indicates strong grant acquisition capabilities in polymer processing optimization, with opportunities for collaboration and mentorship in computational polymer engineering.

As part of Johannes Kepler University's Institute of Polymer Processing and Digital Transformation, Dr. Aali collaborates within a multidisciplinary team advancing digital transformation in polymer manufacturing. His work involves close cooperation with researchers across institutions on projects integrating experimental validation and computational modeling to solve industrial challenges in polymer processing equipment design and operation.