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Summary & Details

Development of AI-Based Bush Characteristics Prediction Model for R&H Simulation Modeling Efficiency

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20265214

Paper/Info type: Proceedings (Spring)

No.50-26

Pages: 1-6(Total 6 p)

Date of publication: May 2026

Publisher: JSAE

Language: English

Event: 2026 JSAE Annual Congress (Spring)

Detailed Information

Author(J)	1) Mi Reu Kim, 2) Tae Min Jeong
Author(E)	1) Mi Reu Kim, 2) Tae Min Jeong
Affiliation(J)	1) Hyundai Motor, 2) Hyundai Motor
Affiliation(E)	1) Hyundai Motor, 2) Hyundai Motor
Abstract(E)	Recently, as AI technology has advanced, attempts to incorporate AI technology into the vehicle modeling process in the CAE field have increased. Previously, the static or dynamic characteristics of vehicle parts were expressed in the form of mathematical functions and substituted with equivalent models. However, this type of modeling technique has limitations in expressing the complex nonlinear dynamic characteristics of vehicle parts. Therefore, this paper proposes a new modeling technique by introducing AI technology to the existing modeling technique and shows that the efficiency of vehicle parts characteristic modeling can be improved.

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