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A methodology for developing optimized electromagnetic devices to populate a case-based reasoning system /

When faced with a new design problem, Engineers most often tend to rely on their accumulated knowledge of science, mathematics, and appropriate experience to reach suitable solutions. Case-Based Reasoning is a new engineering paradigm that reflects this fact by suggesting solutions to novel problems based on the recall and reuse of specific experiences. Such a paradigm relies on previous successful design solutions that are stored in the form of separate cases in a database. / The aim of this thesis is to develop a process that will provide examples which can be used to set up a database of optimized designs for various electromagnetic devices such as loudspeakers and actuators. Each stored design will represent an optimum solution to a specific set of requirements for an electromagnetic device. These designs will eventually be used by a case-based reasoning system to reach a solution for possible requested future designs. The process will also involve developing a parameterization of a particular class of devices as well as testing optimization processes to be applied to the initial designs in order to ensure that the solutions stored in the case database represent effective and realistic devices which satisfy the requirements. This thesis also presents test results that illustrate how each optimized design conforms to certain requirements set as an input objective.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.99766
Date January 2006
CreatorsHammoud, Samer.
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Engineering (Department of Electrical and Computer Engineering.)
Rights© Samer Hammoud, 2006
Relationalephsysno: 002614362, proquestno: AAIMR32594, Theses scanned by UMI/ProQuest.

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