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Process Control and Process Systems Engineering

Academic Staff

Shinji HASEBE

Shinji HASEBEProfessor (Graduate School of Engineering)

Research Topics

  • Development of Decentralized Supply Chain Management Systems
  • Optimal Design and Synthesis of Ecological Processes
  • Dynamic Optimization of Chemical Processes
  • Optimal Design and Operation of Micro Chemical Plants

Contacts

Room124, Bldg. A4, Katsura Campus
TEL: +81-75-383-2667
FAX: +81-75-383-2657
E-mail: hasebe@cheme.kyoto-u.ac.jp

Osamu TONOMURA

Osamu TONOMURAAssistant Professor (Graduate School of Engineering)

Research Topics

Micro chemical processes (MCPs) consist of various types of devices such as micro heat exchangers, micromixers, and microreactors. The major advantage of microdevices is high efficiency of mixing and heat exchange. Therefore, MCPs are expected to exceed the capabilities of conventional chemical plants. The final goal of this research is development of a new fundamental approach to design, operation, and control of MCPs.

Contacts

Room 120, Bldg. A4, Katsura Campus
TEL: +81-75-383-2637
FAX: +81-75-383-2657
E-mail: tonomura@cheme.kyoto-u.ac.jp

Sanghong KIM

Sanghong KIMAssistant Professor (Graduate School of Engineering)

Research Topics

  • Process data analysis
  • Batch process control

Contacts

Room 120, Bldg. A4, Katsura Campus
TEL: +81-75-383-2677
FAX: +81-75-383-2657
E-mail: kim@cheme.kyoto-u.ac.jp

Introduction to Research

Under the current social situation which has a lot of complicated and difficult problems, such as an environmental problem, development of an advanced production system producing a competitive product with saving resources and energy is desired.  Process Systems Engineering (PSE) is a research area where the systematic methodology for realizing such an innovative production system is investigated.  PSE covers all aspects of design, operation, control, planning, and logistics for the process industries.  Current research topics are as follows:

Development of a new fundamental approach to design, operation, and control of micro chemical processes

In microspaces, viscous force, surface tension, conduction heat transfer, and molecular diffusion become dominant.  These features achievable in microspaces make it possible to handle highly exothermic/endothermic and rapid reactions and to produce fine particles with narrow size distribution.  The final goal of this research is development of a new fundamental approach to design, operation, and control of micro chemical processes.  Now, we are conducting researches into modeling and simulation for microreactor design.  In addition, we are currently developing a physical model-based process monitoring system which is applicable for diagnosing faults such as channel blockage and catalyst deterioration in microreactors.

Process data analysis

We develop and implement the quality estimation and abnormal detection system based on daily operation data obtained from various kinds of processes such as chemical, steel, pharmaceutical, and semiconductor processes. Recently, our focus has been on just-in-time modeling methods, which can cope with change in process characteristics, and modeling methods using spectroscopic data.

Synthesis of environmentally benign processes and Development of decentralized supply chain management system

Most of the waste products in process industries still have unused properties.  By using such properties at other processes, the total capacity of the wastes can drastically be reduced.  From that viewpoint, we are developing a process synthesis method by which appropriate process structures of a waste are systematically generated.
We have developed an autonomous decentralized scheduling system, in which each scheduling sub-system of a production stage generates a plausible schedule taking into account the schedules of other production stages.  Now the extension of the proposed framework to the planning and scheduling of overall supply chain is being studied.

Batch process control

The purpose of this research is to precisely control batch processes, which are important for the production of high value-added products. Batch processes are, in general, non-linear time-varying process, and their behavior is complicated, thus, it is challenging to precisely control them. We try to solve this problem by using modeling technique based on both physical knowledge of the processes and statistical analysis of operation data, and the control theory.

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Fig.1  CFD simulation of convective micromixer.

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Fig.2  Development of micro chemical process simulator.