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Last Update:
March 25, 2004

Engineering System Modeling
Dr. Yitung Chen , Dr. Darrell Pepper , Dr. Randy Clarksean , Lijian Sun , Haritha Royyuru , Jianhong Li , Sridhar Munaga

Part 1: System Engineering Model Development of a System Engineering Model of the Chemical Separations Process
Lijian Sun

A framework and environment for a systems engineering analysis will be developed for use in the chemical separations system for the AAA program. The first phase of the study includes the recognition of a rational system and establishing a baseline model. The rational system is responsible for the inputs or outputs, while an established baseline systems engineering model will assist in future improvements and developments. The first step in the development of the model is to define process flow sheet, followed by kernel component for each given input and output, which are both quantitatively formulated. The results will then be integrated into the AMUSE tool. A graphical representation method of the overall system, including explicit designation of all subsystems and internal inputs and outputs, will be used. Graphical representation methods are useful in both qualitative and quantitative system modeling and analysis. Graphical modeling tools such as block diagrams, signal-flow graphs, and organizational diagrams, will also be developed in this project. Several engineering system identification and modeling techniques will be examined. In addition, experimental methods for system modeling and verification will be using a method called weighted input and output, a modeling which provides a rational means for ranking and weighting inputs and outputs on the basis of their contribution to the systemís behavior. Lastly, stochastic system modeling and heuristic system modeling with some of essential features of this important field will also be studied.

Part 2: Improvement/Automation/Modernization of AMUSE
Jianhong Li, Sridhar Munaga, Haritha Royyuru

An update to the AMUSE code, originally developed and in use at the Argonne National Laboratory, is necessary for the chemical separation project. The review will include a complete review and analysis of historical development of AMUSE. Date flow will determine the necessary procedures on how calculations are performed. Other possible implementations will be executed once the AMUSE tool is analyzed, and efforts will be undertaken to determine if conversion of the code to a more general programming environment, such as Visual Basic, C/C++, a newer version of Excel, etc., with a graphics interface will be feasible. The development of the new software requires a reasonable set of modifications that can be converted to AMUSE. The program will later be a vital part of the overall Engineering Systems Model. Verification of the code is performed through sample test runs to determine numerical accuracy. The code will be made to be easily modifiable for future projects that contain different requirements.

Sponsor: Advanced Accelerator Applicati on/University Particpation Program
Collaborator: Argonne National Laboratory - East



Nevada Center for Advanced Computational Methods