A Study on the Impact Resistance of Plastic Underbody Parts

Youn, Jee Young; Kim, Seok Hwan; Jin, Yong

doi:10.4271/2016-01-0515

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…There was good correlation between the results of image processing and the parameters extracted from an electrochemical impedance spectroscopy after stone chipping tests. Yoon et al [6] studied the external impact resistances and tendencies of plastic underbody parts, such as the transmission oil pan, muffler housing, and fuel system protector. Shang et al [7] developed a mathematical model for the external impact of vehicle wheels, and conducted research and analyses, using it for verification.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Damage to the Vehicle Underbody due to Stone Chipping

2018

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In these days, there is a paradigm shift from internal-combustion-engine vehicles to electric vehicles. Most electric vehicles developed include batteries mounted at the bottom, near the rear wheels. Hence, the robust design of underbody parts against the impact of external bodies or random stone chipping needs to be made. In this study, the mathematical modeling and statistical probability analysis of stone chipping and tire slip are performed for identifying and confirming the critical zones of the vehicle underbody that may be damaged by stone chipping. Thereby, stone chipping can be predicted by simulations using the employed mathematical model, before conducting experimental verification using the existing methods. Furthermore, the development cost and time can be reduced because the elements of the designed underbody can be analyzed for robustness, and the safety factor can be established during the design stage.

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Section: Introductionmentioning

confidence: 99%

Prediction of Damage to the Vehicle Underbody due to Stone Chipping

2018

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A Study on Reliability-Based Maximum Service Temperature Estimation of Plastic Automotive Parts

Youn,

Chung,

Ahn

2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Recently, the environmental temperature of vehicles is changing due to the electrification of vehicles and improved internal combustion engine system to reduce carbon emissions. However, mechanical properties of plastic materials change very sensitively to environmental temperature changes, and mechanical properties decrease when exposed to high temperatures. Therefore, it is important to estimate lifespan estimation of plastic parts according to temperature changes. In this paper, reliability analysis process to estimate the maximum service temperature of plastic parts was developed using aging data of material properties, environmental condition data of automotive parts, and field driving condition data. Changes in the mechanical properties of plastic materials such as glass fiber reinforced polyamide materials were tested. The environmental exposure temperature of the vehicle and parts was measured, and the general driving pattern of the vehicle was analyzed. Weibull aging model and Arrhenius physics model was applied for lifespan estimation of materials. The damage rate theory was applied to obtain the sum of damage rates in various temperature conditions since automobiles are exposed to various temperature conditions. The damage rate according to the temperature and time exposed to the environment was calculated with lifespan estimation results of materials and environment conditions of plastic parts, then the maximum service temperature that can satisfy the warranty period of the product was predicted. As case studies, the maximum service temperature of the air intake manifold, the bracket part that support the motor in EVs or the transmission in internal combustion engines with glass fiber reinforced polyamide was predicted with reliability-based maximum service temperature estimation method.</div></div>

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