Noncontact bending and torsional stiffness estimation model for automobile frames based on 3d displacements

Yousok Kim, Jae Min Yang, Tongjun Cho, Byung Kwan Oh, Hyo Seon Park

Research output: Contribution to journalArticle

Abstract

In this study, a noncontact bending and torsional stiffness estimation model for automobile frames is proposed. The deformed shapes of an automobile frame during bending and torsional loading tests were determined based on the 3D displacements from motion capture system (MCS). The measurement results from the system and existing sensors, such as linear variable differential transformers (LVDTs) and an inclinometer, were compared. The vertical displacements from a total of 30 markers measured by the MCS can be used to define the 3D bending and torsional deformed shapes of the automobile frame. The test results confirmed that the stiffness estimation model based on MCS facilitates more detailed and accurate estimation of stiffness of the automobile.

Original languageEnglish
Article number8715429
Pages (from-to)7708-7717
Number of pages10
JournalIEEE Sensors Journal
Volume19
Issue number17
DOIs
Publication statusPublished - 2019 Sep 1

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Automobile frames
automobiles
stiffness
Stiffness
Automobiles
transformers
markers
Sensors
sensors

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Kim, Yousok ; Yang, Jae Min ; Cho, Tongjun ; Oh, Byung Kwan ; Park, Hyo Seon. / Noncontact bending and torsional stiffness estimation model for automobile frames based on 3d displacements. In: IEEE Sensors Journal. 2019 ; Vol. 19, No. 17. pp. 7708-7717.
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Noncontact bending and torsional stiffness estimation model for automobile frames based on 3d displacements. / Kim, Yousok; Yang, Jae Min; Cho, Tongjun; Oh, Byung Kwan; Park, Hyo Seon.

In: IEEE Sensors Journal, Vol. 19, No. 17, 8715429, 01.09.2019, p. 7708-7717.

Research output: Contribution to journalArticle

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