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.

Semantic Methods for Intelligent Distributed Design Environments

Continuous advancements in technology have led to increasingly comprehensive and distributed product development processes while in pursuit of improved products at reduced costs. Information associated with these products is ever changing, and structured frameworks have become integral to managing such fluid information. Ontologies and the Semantic Web have emerged as key alternatives for capturing product knowledge in both a human-readable and computable manner. The primary and conclusive focus of this research is to characterize relationships formed within methodically developed distributed design knowledge frameworks to ultimately provide a pervasive real-time awareness in distributed design processes. Utilizing formal logics in the form of the Semantic Web’s OWL and SWRL, causal relationships are expressed to guide and facilitate knowledge acquisition as well as identify contradictions between knowledge in a knowledge base. To improve the efficiency during both the development and operational phases of these “intelligent” frameworks, a semantic relatedness algorithm is designed specifically to identify and rank underlying relationships within product development processes. After reviewing several semantic relatedness measures, three techniques, including a novel meronomic technique, are combined to create AIERO, the Algorithm for Identifying Engineering Relationships in Ontologies. In determining its applicability and accuracy, AIERO was applied to three separate, independently developed ontologies. The results indicate AIERO is capable of consistently returning relatedness values one would intuitively expect. To assess the effectiveness of AIERO in exposing underlying causal relationships across product development platforms, a case study involving the development of an industry-inspired printed circuit board (PCB) is presented. After instantiating the PCB knowledge base and developing an initial set of rules, FIDOE, the Framework for Intelligent Distributed Ontologies in Engineering, was employed to identify additional causal relationships through extensional relatedness measurements. In a conclusive PCB redesign, the resulting “intelligent” framework demonstrates its ability to pass values between instances, identify inconsistencies amongst instantiated knowledge, and identify conflicting values within product development frameworks. The results highlight how the introduced semantic methods can enhance the current knowledge acquisition, knowledge management, and knowledge validation capabilities of traditional knowledge bases.

Proceedings of the 24th Annual Biochemical Engineering Symposium

The 24th Biochemical Engineering Symposium was held 9-10 September 1994 at the YMCA of the Rockies conference center in Estes Park, Colorado, under the sponsorship of the Department of Chemical Engineering at the University of Colorado. Previous symposia in this series have been hosted by Kansas State University (1st, 3rd, 5th, 9th, 12th, 16th, 20th), University of Nebraska-Lincoln (2nd, 4th), Iowa State University (6th, 7th, 10th, 13th, 17th, 22nd), University of Missouri-Columbia (8th, 14th, 19th), Colorado State University (11th, 15th, 21st), University of Colorado (18th), and the University of Oklahoma (23rd). The next symposium is scheduled to be held at the University of Missouri-Columbia. The symposia are devoted to talks by students about their ongoing research. Because final publication usually takes place elsewhere, the papers included in the proceedings are brief, and often cover work in progress. ContentsIn-Well Aeration: An Innovative Subsurface Remediation TechnologyPrashant Gandhi, X. Yang, L.E. Erickson, and L. T. Fan; Kansas State University Expression of an Antimicrobial Peptide Analog in Eacherlchill coliChris Haught and Roger G. Harrison; University of Oklahoma Using High-frequency Backpulaing to Maximize Croasflow Filtration PerformanceSanjeev G. Redkar and Robert H. Davis; University of Colorado Low Molecular Weight Organic Compositions of Acid Waters from Vegetable Oil SoapstocksSteven L. Johansen, Arunthathi Sivasothy, Peter J. Reilly, and Earl G. Hammond; Iowa State University; Michael K. Dowd; U.S. Department of Agriculture Gas Phase Composition Effects on Suspension Cultures of Taxus cuspidata Noushin Mirjalili and James C. Linden; Colorado State University Cybernetic Modeling of Spontaneous Oscillations in Continuous Cultures of Ssccharomyces cerevisiaeKenneth D. Jones and Dhinakar S. Kompala; University of Colorado The Effect of Turbulent Shear on Calcium Mobilization in Mammalian CellsChristopher M. Cannizzaro, Pradyumna K. Namdev, and Eric H. Dunlop; Colorado State University Experimental Studies of Droplet Ejection at the Free Surface In Sparged ReactorsT. Y. Yiin, L A. Glasgow, and L. E. Erickson; Kansas State University The Role of Domain E (Starch-Binding Region) on the Activity of a Bacillus macersns Cyclodextrln GlucanotransferaseHai-yin Chang, Trang Le, and Zivko L. Nikolov; Iowa State University Use of the Rotating Wall Vessel for Study of Plant Cell Suspension CulturesXinzhi Sun and James C. Linden; Colorado State University A Novel Counter-Current Distribution Apparatus for the Study of Multi-Stage Aqueous Two-Phase Extraction of Biomolecules and Cell ParticlesMartin R. Guinn and Paul Todd; University of Colorado The Dynamics of Unhooking and Contraction of a Polyelectrolyte Chain Around an Isolated PostLin Zhang and Edith M. Sevick; University of Colorado A Laboratory Study of the Fate of Trichloroathylene and 1,1,1-Trlchloroathane In the Presence of Alfalfa PlantsMuralidharan Narayanan, Ryan M. Green, Lawrence C. Davis, and Larry E. Erickson; Kansas State University Modeling the Fate of Pyrene In the RhIzosphereS.K. Santharam, LE. Erickson, and L. T. Fan; Kansas State University Derivatization of MaltooligosaccharidesDaniela Prinz, Peter J. Reilly, and Zivko L. Nikolov; Iowa State University Probing Surfactant-Protein Binding by EPA SpectroscopyNarendra B. Bam, Yale University; Theodore W. Randolph; University of Colorado Optimization of a Stir-Cell Bioreactor for In Vitro Production of RNANeal T. Williams, Kim A. Wicklund, and Robert H. Davis; University of Colorado