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Short Courses OnBeginning Rheology / Rheological Data Analysis and Comparison to Theory |
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Short Courses OnBeginning Rheology / Rheological Data Analysis and Comparison to Theory |
[76th Annual Meeting Home Page]
Date and Location
The short courses are held in conjunction with the 76th Annual Meeting of The Society of Rheology (February 13-17, 2005) Instructors
Instructor BiosketchesProfessor Faith A. Morrison (current editor of the Rheology Bulletin, past Membership Chair of the SOR) is Associate Professor in the Department of Chemical Engineering at Michigan Technological University in Houghton, Michigan USA. She is the author of Understanding Rheology, published by Oxford University Press in 2001. She has taught polymer rheology to undergraduates and graduate students at Michigan Tech since 1990 and recently established an undergraduate rheology laboratory there. This short course and the text Understanding Rheology represent a distillation of her 14 years of experience teaching rheology to beginners. Professor A. Jeffrey Giacomin (Chair, Rheology Research Center) is Professor of Mechanical Engineering at the University of Wisconsin at Madison. He teaches polymer processing and rheology to undergraduates every semester, and his research focuses on the role of rheology in plastics processing. Professor Giacomin is an expert on the measurement of the nonlinear viscoelastic properties of molten plastics, and on interpreting these measurements. His research group has published more than 50 refereed journal articles on rheology and plastics processing. Professor H. Henning Winter was educated mostly in Stuttgart, Germany, but also studied in Berlin (Germany), Stanford (California), and Madison (Wisconsin). He has been faculty at the University of Massachusetts, Amherst since 1979. Professor Winter has been the editor of Rheologica Acta since 1989. He received the 1996 Bingham Medal of The Society of Rheology, the v. Humboldt Price in 1999, and the NSF Creativity Award 1997. For the academic year 2004/5, UMass Amherst awarded Professor Winter a Faculty Research Fellowship so that he can develop a new course in rheology that is based on his novel computer-aided teaching methods. His long-standing interest in rheometry began about 30 years ago when he could not find suitable rheological material data for his numerical calculations. A breakthrough came with Baumgaertel’s 1987 discovery of a robust method of converting dynamic mechanical data from the frequency to the time domain. This suddenly allowed an efficient data analysis and gave increased insight into the underlying phenomena. Since then, after much collaborative work, the data anlysis methods have merged into the user-friendly IRIS code that is designed to give comprehensive answers within minutes. The new computer-aided methods have found widespread application outside UMass. The IRIS program was initially developed in collaboration with Michael Baumgaertel and Paul Soskey, and then by Marian Mours who also introduced methods for time-resolved rheometry. In 2003, Professor Winter’s group began to include molecular theory and non-linear viscoelasticity into the code. Theory modules are fully implemented as written by international experts on polymer dynamics theory (Richard Blackwell, Manfred Wagner). In related activities, ProfessorWinter and his group have been studying the rheology of polymers near transition states (phase separation, ordering transitions, connectivity transitions, crystallization, electric field induced gelation) with a wide range of experimental methods. Professor Winter’s group also focuses on developing new polymeric materials through novel processing. Course DescriptionBeginning Rheology / Rheological Data Analysis and Comparison to Theory Beginning RheologyInstructors: Prof. Faith A Morrison (FAM) and Prof. A. Jeffrey Giacomin (AJG) The Beginning Rheology course is meant for those with little or no background in rheology or rheological modeling. The course content is based on the text Understanding Rheology, by Faith Morrison (Oxford, 2001), which may be ordered at a discount at the time of registration for delivery at the short course. Beginning Rheology links rheological modeling with industrial applications. Saturday
Sunday
NotesA questionnaire will be sent to registrants to give the instructors feedback before the course to better match course content with student expectations. We’ll ask you:
The survey responses will be used to fine-tune the course emphasis and pace. Rheological Data Analysis and Comparison to TheoryInstructor: Prof. H. Henning Winter MotivationRheology is still difficult to access. This is its biggest unsolved problem. The full use of rheology is limited to a small group of highly trained scientists. If there is widespread use of rheology today, it has been achieved mostly by simplifications of rheological concepts, sometimes over-simplification. In spite of this, rheology has still proven to be useful to a certain extent, but simplified methods fall way short of revealing the full potential of the rheological information of a specific material of interest. Rheology will gain by the development of user-friendly methods that express rheology in its full complexity. This includes methods of freely communicating rheological data and theory as discussed here. User-friendly methods are essential not only for research and application, but also for the teaching of rheology. New teaching methods will potentially generate broad access to rheological concepts. This will lead to an appreciation of the significance that rheology has in technical applications. In-depth data analysis and evaluation of theory should become easy enough to be performed by non-rheologists after reasonable training (one week of training seems acceptable) and without relying on over-simplifications. To make rheology more accessible, we have started to develop a computer platform that allows a detailed analysis of experimental data and allows predictions from the newest theories in rheology. This computer platform gives experts in specialized topics of rheology the opportunity to write modules that will seamlessly merge into a general code so that they can be used by a wide range of engineers and scientists. Course ParticipantsThis tutorial course is intended for researchers and practitioners with an interest in rheology. Only the most basic knowledge of rheology is required. EquipmentParticipants are asked to bring a laptop computer on which the appropriate software can be installed. Note: some computer systems require ‘administrator’ capability for installing programs. Please bring the administrator password if required. Teaching MethodPresentation of basic concepts followed by generation of all graphs real-time with the class. Teaching tool is the IRIS software which will be provided to all participants during the course (+3 months after completion of the course). Specific TopicsIt is the purpose of this course to provide practical tools (1) for working with large volumes of experimental data and (2) for combining predictions of rheology theory with experiments. Managing Large Data Volume. Large volumes of rheological data are currently encountered both in industry and in research institutions. The problem has shifted from obtaining rheological data to finding methods of efficiently using these data to their fullest potential. A systematic approach for mastering high data throughput requires rapid data analysis at a high level of detail (defined by the user), performance evaluation according to his/her criteria, and dissemination of the results. After experimenting with large data volumes for quite some time, we have arrived at a powerful technology that meets these objectives for rheology. Bringing Experiments and Theory Together. In contrast to the well established analysis of rheometry data, theory is far from being consolidated. Theory has advanced rapidly in recent years, but these advances have gone different ways for different research groups. Because of this exciting diversity and novelty of ideas, we invited experts in the field of theoretical rheology to write modules inside the software program. Again, the language is interactive graphics. Course participants will plot predictions from theory in the same graph as the experiments. Predictions of one theory will be plotted against predictions of the other theory. Rheological material properties will be interrelated with molecular topology Course Contents (Sunday)
Short Course RegistrationShort course registration includes a complete set of course notes. Payment can be made on line with MasterCard, Visa, Discover, or American Express.
Cancellations for the short course received in writing by December 31, 2004 will be refunded minus a $30 administrative charge. Cancellations after December 31, 2004 will only be refunded if the course is overbooked and the seat is refilled (again, subject to a $30.00 administrative charge). Each class is limited to 40 students. Questions can be directed to Professor Norman Wagner, University of Delaware, current chair of the SOR Education Committee, at Wagner@che.udel.edu. |
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[76th Annual Meeting Home Page]
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