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.
|Number of pages||10|
|Journal||IEEE Sensors Journal|
|Publication status||Published - 2019 Sept 1|
Bibliographical noteFunding Information:
Manuscript received March 19, 2019; revised May 3, 2019; accepted May 8, 2019. Date of publication May 15, 2019; date of current version August 6, 2019. This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) under Grant 2011-0018360 and Grant 2018R1A5A1025137. The associate editor coordinating the review of this paper and approving it for publication was Prof. Guiyun Tian. (Corresponding author: Hyo Seon Park.) Y. Kim is with the Department of Architectural Engineering, Hongik University, Sejong 04066, South Korea (e-mail: email@example.com).
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering