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Title: Engineering smart skis
Author: Watson, Peter
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2004
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A concept is established for adaptive vibration control of shaped alpine skis using smart materials – specifically magnetorheological (MR) fluid. This work presents the motivation behind the concept and the work to verify its viability, technically and commercially. Research is reviewed, relevant to understanding ski dynamics. Literature on smart materials is similarly researched and presented to establish understanding of the use of the technology for dynamic control. The influence of geometry, materials and construction on ski dynamics is presented. Conventional vibration control techniques and their influence on the dynamic control of modern alpine skis are explained. A review of the boundary conditions used in modelling ski dynamics is presented and the influence of skier position and environmental conditions are discussed. Application of smart technology in skis are presented with reference to a shape memory alloy concept and commercially available piezo-systems. Procedures for quantifying the physical characteristics of a ski are discussed and a custom-built laboratory rig is used to test skis under controlled, repeatable conditions. Results from static and dynamic laboratory tests on skis are used to perform system analysis, with reference to technical literature. Analysis of the signal generated by the moving ski during skiing (i.e. signal analysis) is carried out on results from field-tests of instrumental skis. The technical objectives and perceived benefits of adaptive vibration control of skies with MR fluid are examined and technical and commercial system constraints are identified. Results are presented from laboratory tests investigating fore-body vibration control on a concept demonstrator, comprising a MR fluid damper integrated on a simplified ski-like structure. Subsequent analysis is carried out to review the technical and commercial viability of the concept.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available