Dynamic Loading and Crash DynamicsNo Access

REGRESSION MODEL FOR LIGHT WEIGHT AND CRASHWORTHINESS ENHANCEMENT DESIGN OF AUTOMOTIVE PARTS IN FRONTAL CAR CRASH

School of Mechanical, Aerospace & System Engineering, KAIST, 335, Gwahangno, Deadoek Science Town, Daejeon, 305-701, Korea

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HOON HUH

School of Mechanical, Aerospace & System Engineering, KAIST, 335, Gwahangno, Deadoek Science Town, Daejeon, 305-701, Korea

Corresponding Author.

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, and

SUNGHO PARK

Automotive Steel Research Center, POSCO, Gwangyang, Jeonnam, 545-090, Korea

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https://doi.org/10.1142/S0217979208050851Cited by:4 (Source: Crossref)

Abstract

This paper deals with a regression model for light weight and crashworthiness enhancement design of automotive parts in frontal car crash. The ULSAB-AVC model is employed for the crash analysis and effective parts are selected based on the amount of energy absorption during the crash behavior. Finite element analyses are carried out for designated design cases in order to investigate the crashworthiness and weight according to the material and thickness of main energy absorption parts. Based on simulations results, a regression analysis is performed to construct a regression model utilized for light weight and crashworthiness enhancement design of automotive parts. An example for weight reduction of main energy absorption parts demonstrates the validity of a regression model constructed.

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