Transient solution of 2-D TEI problem using reduced order models

Abdullah M. Al-Shabibi; James R. Barber

doi:10.4271/2001-01-1149

Transient solution of 2-D TEI problem using reduced order models

Abdullah M. Al-Shabibi^*, James R. Barber

^*Corresponding author for this work

Mechanical and Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The transient solution of a two-dimensional problem with thermoelastic instability (TEI) has been investigated using a "reduced order model". Thermoelastic instability results from the interaction of frictional heat generation, elastic contact pressure and thermoelastic distortion of two bodies in contact and sliding relative to each other. In practice this class of problem is encountered with the automotive brakes and clutches. The goal has been to construct a mathematical model with a few degrees of freedom that will approximate the real system. The method was found to work well when compared with results from FE computer simulation but involves a dramatically reduced computational time.

Original language	English
Title of host publication	SAE Technical Papers
DOIs	https://doi.org/10.4271/2001-01-1149
Publication status	Published - 2001
Event	SAE 2001 World Congress - Detroit, MI, United States Duration: Mar 5 2001 → Mar 8 2001

Other

Other	SAE 2001 World Congress
Country/Territory	United States
City	Detroit, MI
Period	3/5/01 → 3/8/01

ASJC Scopus subject areas

Automotive Engineering
Safety, Risk, Reliability and Quality
Pollution
Industrial and Manufacturing Engineering

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10.4271/2001-01-1149

Cite this

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title = "Transient solution of 2-D TEI problem using reduced order models",

abstract = "The transient solution of a two-dimensional problem with thermoelastic instability (TEI) has been investigated using a {"}reduced order model{"}. Thermoelastic instability results from the interaction of frictional heat generation, elastic contact pressure and thermoelastic distortion of two bodies in contact and sliding relative to each other. In practice this class of problem is encountered with the automotive brakes and clutches. The goal has been to construct a mathematical model with a few degrees of freedom that will approximate the real system. The method was found to work well when compared with results from FE computer simulation but involves a dramatically reduced computational time.",

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year = "2001",

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AU - Barber, James R.

PY - 2001

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N2 - The transient solution of a two-dimensional problem with thermoelastic instability (TEI) has been investigated using a "reduced order model". Thermoelastic instability results from the interaction of frictional heat generation, elastic contact pressure and thermoelastic distortion of two bodies in contact and sliding relative to each other. In practice this class of problem is encountered with the automotive brakes and clutches. The goal has been to construct a mathematical model with a few degrees of freedom that will approximate the real system. The method was found to work well when compared with results from FE computer simulation but involves a dramatically reduced computational time.

AB - The transient solution of a two-dimensional problem with thermoelastic instability (TEI) has been investigated using a "reduced order model". Thermoelastic instability results from the interaction of frictional heat generation, elastic contact pressure and thermoelastic distortion of two bodies in contact and sliding relative to each other. In practice this class of problem is encountered with the automotive brakes and clutches. The goal has been to construct a mathematical model with a few degrees of freedom that will approximate the real system. The method was found to work well when compared with results from FE computer simulation but involves a dramatically reduced computational time.

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M3 - Conference contribution

BT - SAE Technical Papers

T2 - SAE 2001 World Congress

Y2 - 5 March 2001 through 8 March 2001

ER -

Transient solution of 2-D TEI problem using reduced order models

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