Ontologies and Methods for Interoperability of Engineering Analysis Models (EAMS) in an E-Design Environment

ABSTRACT ONTOLOGIES AND METHODS FOR INTEROPERABILITY OF ENGINEERING ANALYSIS MODELS (EAMS) IN AN E-DESIGN ENVIRONMENT SEPTEMBER 2007 NEELIMA KANURI, B.S., BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCES PILANI INDIA M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Ian Grosse Interoperability is the ability of two or more systems to exchange and reuse information efficiently. This thesis presents new techniques for interoperating engineering tools using ontologies as the basis for representing, visualizing, reasoning about, and securely exchanging abstract engineering knowledge between software systems. The specific engineering domain that is the primary focus of this report is the modeling knowledge associated with the development of engineering analysis models (EAMs). This abstract modeling knowledge has been used to support integration of analysis and optimization tools in iSIGHT FD , a commercial engineering environment. ANSYS , a commercial FEA tool, has been wrapped as an analysis service available inside of iSIGHT-FD. Engineering analysis modeling (EAM) ontology has been developed and instantiated to form a knowledge base for representing analysis modeling knowledge. The instances of the knowledge base are the analysis models of real world applications. To illustrate how abstract modeling knowledge can be exploited for useful purposes, a cantilever I-Beam design optimization problem has been used as a test bed proof-of-concept application. Two distinct finite element models of the I-beam are available to analyze a given beam design- a beam-element finite element model with potentially lower accuracy but significantly reduced computational costs and a high fidelity, high cost, shell-element finite element model. The goal is to obtain an optimized I-beam design at minimum computational expense. An intelligent KB tool was developed and implemented in FiPER . This tool reasons about the modeling knowledge to intelligently shift between the beam and the shell element models during an optimization process to select the best analysis model for a given optimization design state. In addition to improved interoperability and design optimization, methods are developed and presented that demonstrate the ability to operate on ontological knowledge bases to perform important engineering tasks. One such method is the automatic technical report generation method which converts the modeling knowledge associated with an analysis model to a flat technical report. The second method is a secure knowledge sharing method which allocates permissions to portions of knowledge to control knowledge access and sharing. Both the methods acting together enable recipient specific fine grain controlled knowledge viewing and sharing in an engineering workflow integration environment, such as iSIGHT-FD. These methods together play a very efficient role in reducing the large scale inefficiencies existing in current product design and development cycles due to poor knowledge sharing and reuse between people and software engineering tools. This work is a significant advance in both understanding and application of integration of knowledge in a distributed engineering design framework.

Proceedings of the 14th Annual Biochemical Engineering Symposium

The Annual Biochemical Engineering Symposium series is devoted to presentations by students on their research topics. The fourteenth event, held in 1984, was organized at the University of Missouri–Columbia. It was attended by the biochemical engineering faculty and the students from Colorado State University, Iowa State University, Kansas State University, University of Missouri–Columbia, University of Missouri–Rolla and Washington University, St. Louis. Contents"Estimation of Product Formation Kinetics and Microbial Yield Parameters for Anaerobic Organic Acid and Solvent Production," M.D. Oner, Kansas State University "Characterization of Soy Protein Texturization in a Complex Bioreactor," J.L. Ibave, Colorado State University "Acid and Solvent Fermentations Using Mixed Cultures," D. Stevens, University of Missouri–Columbia "Preliminary Process Design for Ethanol from Sweet Sorghum Ensilage Feedstock," Keith D. Lange, Colorado State University "Lamella Settlers in Ethanol Fermentation," Yong Jayanata, University of Missouri–Columbia "Bubble Size Distribution in the Down Flow Section of an Air-Lift Column," Snehal A. Patel and C.H. Lee, Kansas State University "The Sensitivity of Plant Cells to Shear Stress," Morris Z. Resenberg and Eric H. Dunlap, Washington University, St. Louis "Estimation of Growth Yield Parameters Associated with Microbial Growth," Hyeon Y. Lee, Kansas State University "Capillary Gas Chromatography of Trimethylsilylated Trisaccharides," Etienne J.M. Selosse, Iowa State University "Subsite Mapping of an Endo-Xylanase Labeled Xylooligo-saccharides," Bernard Y. Tao, Iowa State University "Cellulase Enzyme Recycle," Kate M.V. Baptie, Colorado State University "Non-Homogeneous Poisson Renewal Reward Process for Modelling Enzymatic Hydrolysis of Cellulose," M.M. Gharpuray and L.T. Fan, Kansas State University

Means and method for soil testing

An inexpensive device which is easily operated to accurately measure the Coulomb parameters of the soil. The Coulomb parameters are used in Coulomb's equation to calculate the shearing stresses along a failure surface of the soil. The device includes an instrument to test soil shear strength to which several weights have been added. To obtain the Coulomb parameters, the instrument is placed on the soil to be tested and weights are incrementally added to it. The instrument is rotated at each weight increment and the shearing stresses are read from its calibrated dial. The stresses are plotted on a graph from which the Coulomb parameters are determined. The shearing stress of the soil with any known force applied to it can then be determined.

Fertilizer and Swine Manure Management Systems Impacts on Phosphorus in Soil and Subsurface Tile Drainage

Swine manure and fertilizer can be used to supply the nitrogen (N) and phosphorus (P) needs of crops. Excess P application sometimes applied with N-based manure for corn increases the risk of P loss and water quality impairment. Poor water quality in Iowa streams and lakes due to excess P has prompted questions about the impact of cropping and nutrient management systems on P loss from fields.