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Welcome to the website of the Department of Process Engineering!

We would like to arouse your interest in the teaching and research work of our department. The department has been teaching and researching process engineering methods and tools for over 30 years,  with an emphasis on deep theoretical foundations and industrial applications of process engineering. The department's research communit and the department's network of contacts provide a good background for engineering education, industrial application and scientific results. As a member of the Institute of Chemical and Process Engineering, the department is responsible for training chemical engineers accredited by international institutions (IChemE, FEANI), and is involved in advanced engineering in the fields of material engineering, mechanical engineering, environmental engineering, mechatronic engineering and chemical engineering. We are currently in the process of introducing other subjects to our curriculum. The staff of the department is in the field of computer science. exploiting the potential of information technology, interpreting chemical technology as a hierarchical system of interacting molecules, synthesizes scientific, operational, technological and control engineering knowledge and integrates these results in the development, design, operation, and management of technology to solve specific engineering tasks. The following pages present the history of the Institute of Process Engineering, its staff, key research and education topics, our industrial relationships, our sponsors and our results. We hope you find useful information while browsing our site!




 

The education profile of the department is the process engineering (CAPE: Computer Aided Process Engineering), including:

  • The modelling and simulation of the technological and production systems,
  • control theory and practice, process control,
  • process design and development using modern techniques.

We cover the full spectrum of education and in research the areas that are most closely related to the traditions and talents of the department are covered. Depending on the profile of the department, in many cases we take on the role of a "bridge" between technology and control engineering professionals and disciplines. Our graduates are present in almost all domestic chemical companies and occupy of key positions, and they also work in large numbers with large domestic companies specializes in process control.

In BSc and MSc in Mechatronic Engineering, students will learn about Control Engineering, Safety Critical Systems, Design of Mechatronic Systems, Process Engineering Tools, and Advanced Process Control Techniques.


Process control

 
Advanced Process Engineering Tools

 
Process Engineering Tools in the Petroleum Industry

 
Advanced algorithms in process engineering

 
Advanced Process Control

 
Process dynamics and control

 
Modern Process Control Technics

 
Effective technical communication

 
Advanced Process Modelling

 
Computer science for engineers I.

 
Computer science for engineers II.

 
Analysis of chemical technologies

 
Control of process systems

 
Modeling of chemical processes

 
Modeling of chemical processes seminar

 
Design of technological systems

 
Design

 
Process System Analysis

 
Data processing and programing

Introduction to process engineering

Modeling and Control of Mechatronic Systems

Simulation  of Mechatronic Systems

Control Theory

 

There is a wide range of international cooperation in every field of engineering as follows:

  • Universite Catholique de Louvain, Louvain-la-Neuve, Belgium, suspension polimerisation modelling and simulation;
  • Department of Chemical Engineering, UMIST, Manchester, UK, crystallization modelling, continuous crystallization, dynamics and stability studies.;
  • Institute of Chemical Engineering, Bulgarian Academy of Sciences, Sofia, Bugaria, modelling of heat and mass transfer processes, process modelling of simulation of dynamic industrial processes.;
  • Department of Chemical Engineering, University of Bradford, Bradford, UK, crystallization modelling;
  • Babes-Bólyai University, Cluj-Napoca, Romania, development of model predictive control algoruthms; development of WEEE recycling technologies;
  • Osaka University, Osaka, Japan, simulation of solid-fluid systems;
  • Katholieke Universiteit, Leuven, Belgium, artifical intelligence applications in process control;
  • Universitat Politechnica de Catalunya, Terrassa (Barcelona), Spain, process system modelling and identification;
  • Berty Reaction Engineers, Ltd., Fogelsville, PA, USA, heterocatalytic reactions in RotoBerty® reactor system, develpment of waste handling;
  • University of Innsbruck, Austia, modelling and optimisation of bio analitical methods;
  • Imperial College London, UK, global sensitivity analysis for lowering model complexity in parameter estimation and meta-modelling;
  • Loughborough University UK, Purdue University USA, continuous crystallization, CFD, MPC;
  • Hebei University, Huazhong University CN, renewable energy sources, sustainable technologies.

Research areas

  • Hierarchical modelling and simulation of chemical and biochemical systems.
  • Modern (adaptive, model-predictive, fuzzy, neural) based control algorithms.
  • Analysis of measurement errors based on balance equations.
  • Fault diagnostics and control with neural networks.
  • Simulation, modelling and control for PVC, poliethylene, polipropylene, polistyrene pharmaceutical and food industry processes.
  • Modelling and simulation of whole technologies.
  • Batch technology development from laboratory to industrial scale.
  • Flexible control of batch technologies.
  • Prodcution management and sceduling for multi-product technologies.
  • Quality assurance of process control softwares.
  • Disperse system modelling with population balance equations.
  • Crystallization dynamics and control.
  • Modelling sustainable technologies.
  • Consultancy:
    • Analysis of existing technologies,
    • Controller tuning,
    • Controller diagnostics,
    • Data analysis,
    • Regression and classification models,
    • Data based predictions,
    • Data based segmentation,
    • Time-series analysis.

 

Research infrastructure

  • 70 computer department network with computational servers, integrated softwares, and process controlled technologies.
  • Labotory and pilot scale computer controlled systems.
  • Pilot scale monofluid batch reactor system.
  • Computer controlled laboratory scale reactor system.
  • Aspen Engineering Suite.
  • MATLAB/SIMULINK.
  • COMSOL Multiphysics FEM software.
  • Unisim Design
  • ANSYS Fluent CFD software.
  • GENIE, iFIX folyamatirányító szoftverek.
  • AI development progammin environments.
  • Self-developed softwares and packages for industrial problem solving.

 

References

  • BatchControl Kft.
  • BorsodChem Zrt.
  • Chinoin Zrt.
  • Dunastyr Zrt.
  • EGIS Nyrt.
  • MOL Nyrt.
  • Nitrokémia Zrt.
  • Richter G. Nyrt.
  • TVK Nyrt.
  • Dunaferr Zrt.