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The status of CAPE in Finland. Opportunities for cooperation with the new member states and other countries of CEE Andrzej Kraslawski Lappeenranta University of Technology, Lappeenranta, Finland Veszprém, February 2004 Outline 1. Research centres of CAPE in Finland 2. Lappeenranta University of Technology 3. Subjects of the potential cooperation 4. Support for the common projects FINLAND Lappeenranta Helsinki St.Petersburg Oslo Stockholm Tallinn Moscow London Berlin Ar ct ic C ir cle Rovaniemi Oulu Vaasa Kuopio Joensuu Tampere Turku Åbo Akademi University Faculty of Chemical Engineering http://www.abo.fi/fak/ktf/rt/control.html Process Control Laboratory Hannu T. Toivonen [email protected] • Process Analysis • Fundamental properties of distillation - multiple steady states • Process Modeling and Control • Controllability and Plant-Wide Control • Adaptive control •Identification • Control relevant identification of ill-conditioned plants • Robust identification •Optimal and robust control • Sampled-data and multivariate control • Parametric optimal and robust control Åbo Akademi University Faculty of Chemical Engineering http://www.abo.fi/fak/ktf/vt/ The Heat Engineering Laboratory Henrik Saxén •Biotechnology • Bioprocess Engineering [email protected] •Heat and mass transfer technology • Calculation of drying behaviour in different parts of a timber stack •Fluid dynamics • Dynamics of industrial multiphase flows Åbo Akademi University Process Metallurgy Åbo Akademi University Faculty of Chemical Engineering Process Design Laboratory http://www.abo.fi/fak/ktf/at/ Tapio Westerlund Tapio. [email protected] •Process and Production Optimization •Bioprocess Engineering •Drying Technology •Environmental Engineering Helsinki University of Technology Department of Chemical Technology http://www.hut.fi/Units/ChemEng/ Chemical Engineering and Plant Design • Plant Design Markku Hurme [email protected] Integrated Waste Management Process Integration Efficiency Juhani Aittamaa [email protected] Operator Support Systems • Chemical Engineering Web Based Design Services Crystallization Decision Making in Design Dimerization Paper Plant Water Systems Distillation Process Development Methods Gas-Liquid Mass Transfer Waste Water Treatment Bleaching Bioseparation Processes Process Modeling Inherent Safety Reactive Distillation Dynamic Simulation Lappeenranta University of Technology • Founded in 1969 • Around 4,000 students • 7 departments Lappeenranta University of Technology Department of Chemical Technology • Founded in 1975 • Main study areas • • • Applied Chemistry • Chemical Engineering • Pulp and Paper Technology 402 undergraduate & 83 postgraduate students (31.12.2003) The Graduate School in Chemical Engineering (GSCE) Lappeenranta University of Technology Department of Chemical Technology Section of Applied Chemistry four laboratories Section of Chemical Engineering two laboratories Section of Pulp and Paper Technology two laboratories LUT Centre for Separation Technology (CST) Fiber Technology Centre (Kotka) Section of Chemical Engineering • Laboratory of Separation Technology • Laboratory of Product and Process Development Laboratory of Separation Technology Andrzej Kraslawski [email protected] • Knowledge management • Knowledge re-use in equipment design • Creativity support methods in process and product • development and design Computer - based scientific discovery • Industrial Crystallization • Treatment of industrial waste waters • Mass transfer in bubble columns • Computational Fluid Dynamics Laboratory of Process and Product Development Ilkka Turunen [email protected] • Methodology of process and product • • • development and design Modelling and simulation of products and processes Process intensification Development of multiphase chemical reactors Creativity enhancing methods Creativity enhancing methods Phases of creative problem solving Objective finding Analytical Fact finding Intuitive Problem finding Idea finding Solution finding Acceptance finding Phases of product development Arrowsmith Creativity enhancing methods Phases of creative problem solving Objective finding Arrowsmith Fact finding Problem finding Idea finding Solution finding Acceptance finding Phases of product development Arrowsmith • Scientific discovery based on the literature search • Selection of a method for separation (fact B) of amino acids (fact A) and antibiotics (fact C). if A B and B C Literature sources AB1 then A C Literature sources B1 B1C Amino Acids and AB2 Separation B2 Antibiotics and B2C Separation AB3 B3 B3C Intermediate literature Arrowsmith • The preliminary screening of the literature allowed to identify: • • • • counter-current chromatography, thin-layer chromatography, micellar electrokinetic chromatography, capillary electrochromatography. Common facts Articles counter-current chromatography 1. Separations of basic amino acid benzyl esters by pH-zonerefining counter-current chromatography 2. Separation of WAP-8294A components, a novel anti-methicillinresistant staphylococcus aureus antibiotic, using high-speed counter-current chromatography Thin-layer chromatography 1. Separation of phenylthiohydantoin derivatives of amino acids by high-performance thin-layer chromatography 2. Separation and detection of certain beta-lactam and fluoroquinolone antibiotic drugs by thin layer chromatography Case-based reasoning (CBR) Creativity enhancing methods Phases of creative problem solving Objective finding Case-based Fact finding reasoning Problem finding Idea finding Solution finding Acceptance finding Phases of product development Case-based reasoning (CBR) A methodology of solving new problems by adapting the solutions of previous similar problems Case Case base CBR New problem Problem Solution Problem Problem Solution Solution New solution Case-based reasoning (CBR) CBR consists of the following steps: 1. Introduction - a new problem to be solved is positioned in the problem space 2. Retrival - actual problem is matched against old problems by computing similarity function, and the most similar problem and its stored solution are found 3. Adaptation - if needed, a new solution is created by adjusting of proposed solution 4. Learning - a received solution and a new problem are incorporated into the case base. Case-based reasoning (CBR) Problem Existing case Process flow rate reflux pressure Chemical Reaction components class of reaction rate conditions = New Process CBR application for Reactive Distillation Catalyst particle size range pocket thickness Packing Features type of geometry type-specific description material section size Solution Case Base Previous Case 1 Previous Case 2 Previous Case 3 Previous Case 4 Packing Case-based reasoning (CBR) CBR application for 2-Methylpropylacetate synthesis Reaction class of reaction rate = moderate reaction temperature = 118C Feed 1 average pressure = 96 kPa Process Feed 2 Sandwich-like bed type m²/m ³ 85 Catalyst fraction Vol. % 25 Corrugation height mm 14.9 Mesh size mm 0.5 Corrugation angle ° 42.5 Corrugation stepsize mm 37 Specific surface area Feed 1 = 0.797 kg/h Feed 2 = 1.203 kg/h bottom product = 1.5 kg/h Product Catalyst autocatalysis TRIZ Creativity enhancing method Phases of creative problem solving Objective finding TRIZ Fact finding Problem finding Idea finding Solution finding Acceptance finding Phases of product development Principles of TRIZ • All innovations emerge from the application of a very small number of inventive principles and strategies. • • Technology evolution trends are highly predictable. The best solutions transform the unwanted or harmful elements of a system into useful resources. • The best solutions actively seek out and destroy the conflicts and trade-offs most design practices assume to be fundamental. Principles of TRIZ Basic concepts of TRIZ Contradictions Ideality Basic tools of TRIZ Contradiction Matrix Inventive Principles Ideal Final Result Functionality Trends of Evolution Effects Use of resources Substance-Field Approach Principles of TRIZ Contradiction Matrix Inventive Principles Principles of TRIZ Contradiction Table 1 2 Weight of Moving Object Weight of Nonmoving Object 38 Level of Automation 39 Productivity 28, 27, 18, 40 Productivity 38 39 Level of Automation 14 Strength Feature to Improve 2 Weight of Moving Object Weight of Nonmoving Object Undesired Result (Degraded Feature) 1 • Possible contradictions represented in 39 x 39 table • Intersections of contradicting rows and columns are references to 40 inventive principles for contradiction elimination Inventive Principles 28 Replace a mechanical system with a non mechanical system 27 An inexpensive short-life object instead of an expensive durable one 18 Mechanical vibration 40 Composite materials Support for the common projects • Exchange of students Bilateral agreements Socrates http://europa.eu.int/comm/education/programmes/calls/callg_en.html • Exchange of staff CIMO http://www.cimo.fi/Resource.phx/cimo/mainpage/mainpage.htx Academy of Finland http://www.aka.fi/index.asp?id=a47d4388293641d4975d59c422202077 • Common PhD projects Graduate School of Chemical Engineering http://www.abo.fi/gsce/ • Research projects, networks, conferences, publications, training Framework Programme http://www.cordis.lu/en/home.html Energy http://europa.eu.int/comm/energy/intelligent/work_programme/index_en.htm http://europa.eu.int/comm/index_en.htm