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Data Exchange in Multi-Disciplinary Design Optimization frameworks

Nambiar, Arun N.

Abstract Details

2004, Master of Science (MS), Ohio University, Industrial and Manufacturing Systems Engineering (Engineering).

An efficient and effective data exchange mechanism is indispensable for multi-disciplinary optimization frameworks that provide a common working environment to increase interdisciplinary interactions and reduces the design cycle time. Some of the existing data exchange mechanisms have been studied and a new data exchange mechanism has been implemented. The scope of this work has been to develop two tools namely the Vector tool and the Name-Value tool to handle data in the form of one-dimensional arrays and name-value pairs respectively. A data caching algorithm has also been implemented so that the two tools interoperate with the help of adapters that translate data across the two formats.

Robert Judd (Advisor)
91 p.

Recommended Citations

Citations

  • Nambiar, A. N. (2004). Data Exchange in Multi-Disciplinary Design Optimization frameworks [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1088189791

    APA Style (7th edition)

  • Nambiar, Arun. Data Exchange in Multi-Disciplinary Design Optimization frameworks. 2004. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1088189791.

    MLA Style (8th edition)

  • Nambiar, Arun. "Data Exchange in Multi-Disciplinary Design Optimization frameworks." Master's thesis, Ohio University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1088189791

    Chicago Manual of Style (17th edition)