Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model
Name
244632748-MIT.pdf
Description
Full printable version
Size
22.25 MB
Format
Adobe PDF
Checksum (MD5)
6fba9e0bd80eee2d19349546c2e642f7
Author(s)
Braunwart, Paul R
Advisor(s)
Dan Frey.
Date Issued
2007
Publisher
Massachusetts Institute of Technology
Abstract
The automotive industry has undergone significant changes in recent years with increased competition and the introduction of new manufacturers into the market. With this changing market, a more efficient approach to Noise Vibration and Harshness (NVH) development is needed to foster better decisions and support the compressed product development timing required by the market.To address this, the "Slider Bar" process and meta-model are presented. Based on the failure mode avoidance approach, the process and model allow the engineering teams to uncover and avoid potential tire/wheel and driveline NVH failure modes. Therefore, early in the product development process, development teams can identify control and noise factor limits and system level effects, avoid potential NVH failure modes, and develop appropriate countermeasures.Using insights from innovation diffusion theory, the process and tool were deployed systematically to NVH community, with user insights used to adapt and improve the process and tools. Based on this work, a strategy is introduced for the development and adoption of a failure mode avoidance initiative.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
Includes bibliographical references (p. 105-110).
Subjects
System Design and Management Program.
MIT Department
System Design and Management Program.
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