Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model
Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2008
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Online Access: | http://hdl.handle.net/1721.1/43099 |
_version_ | 1810979534522023936 |
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author | Braunwart, Paul R |
author2 | Dan Frey. |
author_facet | Dan Frey. Braunwart, Paul R |
author_sort | Braunwart, Paul R |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007. |
first_indexed | 2024-09-23T09:44:29Z |
format | Thesis |
id | mit-1721.1/43099 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:44:29Z |
publishDate | 2008 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/430992022-01-13T07:55:19Z Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model Braunwart, Paul R Dan Frey. System Design and Management Program. System Design and Management Program. System Design and Management Program. Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007. Includes bibliographical references (p. 105-110). 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. by Paul R. Braunwart. S.M. 2008-11-07T19:02:14Z 2008-11-07T19:02:14Z 2007 2007 Thesis http://hdl.handle.net/1721.1/43099 244632748 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 110 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | System Design and Management Program. Braunwart, Paul R Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title | Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title_full | Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title_fullStr | Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title_full_unstemmed | Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title_short | Uncovering and avoiding failure modes in driveline and tire/wheel NVH using a computational meta-model |
title_sort | uncovering and avoiding failure modes in driveline and tire wheel nvh using a computational meta model |
topic | System Design and Management Program. |
url | http://hdl.handle.net/1721.1/43099 |
work_keys_str_mv | AT braunwartpaulr uncoveringandavoidingfailuremodesindrivelineandtirewheelnvhusingacomputationalmetamodel |